#Data Center Automation Market Report

[industrynewsupdates]

Data Center Automation Market: Key Players and Competitive Landscape

The global data center automation market size is estimated to reach USD 25.39 billion by 2030, registering a CAGR of 16.9% from 2025 to 2030, according to a new report by Grand View Research, Inc. The expansion of social networking, cloud computing, mobile computing, and analytics is anticipated to have a positive effect on the need for data center automation. In addition, the fast adoption of cloud computing big data, gaming, and other social networks is generating a massive quantity of data that necessitates the automation of business processes. Therefore, the growing usage of internet-based applications is anticipated to provide sufficient prospects for market participants.

An increase in cloud-native server users and enterprise spending on cloud services are some of the key drivers that are expected to propel the industry forward in the coming years. The culture of manufacturing data centers, along with the innovation has fostered and prompted a number of companies to try out new approaches to business that include expansion, diversification, and introduction of new products & services. In January 2021, Cisco and Arcadia Communications announced an amended merger agreement.  Cisco is committed to supporting Acacia's existing clients as well as future customers demanding leading coherent optics, optical integrated circuit modules/ digital signal processing for use in data centers.

Curious about the Data Center Automation Market? Get a FREE sample copy of the full report and gain valuable insights.

Data Center Automation Market Report Highlights

• By component, the solution segment accounted for the major revenue share of 66% in 2024. Due to the demand for server automation systems in data centers, which allow businesses and individuals to deploy, configure, patch, and maintain physical, virtual, and cloud servers rapidly and securely

• By solution, the server segment is expected to grow at a significant CAGR over the forecast period, owing to the rise in demand for efficient servers leading to adequate network and storage facilities.

• In terms of deployment, the cloud segment is expected to grow at a significant CAGR during the forecast period, owing to the growth in enterprise adoption of high-end cloud computing in developing economies

• In terms of enterprise, the large enterprise segment accounted for the major revenue share in 2024, owing to the increasing integration of complex business technologies such as data analytics and big data, their requirement for storing massive volumes of daily data is also increasing

• By end-use, the IT & telecommunication segment accounted for a largest revenue share of 23% in 2024. As IT becomes a more basic component of the telecom business, it has become a significant resource for managing the ever-increasing demand for advanced IT with the need to maintain adequate IT expenditures.

• North America held the highest market share of 43% in 2024. The presence of various leading market players in the region as well as the demand for Big Data analytics and cloud computing are contributing to the market growth.

Data Center Automation Market Segmentation

Grand View Research has segmented the global data center automation market based on component, deployment, enterprise size, end-use, and region:

Data Center Automation Component Outlook (Revenue, USD Billion, 2018 - 2030)

• Solution

o Storage

o Server

o Network

• Services

Data Center Automation Deployment Outlook (Revenue, USD Billion, 2018 - 2030)

• Cloud

• On-premise

Data Center Automation Enterprise Size Outlook (Revenue, USD Billion, 2018 - 2030)

• Small & Medium Enterprise

• Large Enterprise

Data Center Automation End-use Outlook (Revenue, USD Billion, 2018 - 2030)

• IT & Telecom

• BFSI

• Retail

• Healthcare

• Manufacturing

• Others

Data Center Automation Regional Outlook (Revenue, USD Billion, 2018 - 2030)

• North America

o U.S.

o Canada

o Mexico

• Europe

o Germany

o UK

o France

• Asia Pacific

o China

o India

o Japan

o South Korea

o Australia

• Latin America

o Brazil

• Middle East & Africa

o U.A.E

o Saudi Arabia

o South Africa

List of Key Players in the Data Center Automation Market

• ABB

• BMC Software, Inc.

• Cisco Systems, Inc.

• Citrix Systems, Inc.

• FUJITSU

• Hewlett Packard Enterprise Development LP

• Microsoft

• Oracle

• ServiceNow

• VMWare

Order a free sample PDF of the Data Center Automation Market Intelligence Study, published by Grand View Research.

[yesornopolls]

The article under the cut

Allies of Elon Musk stationed within the Education Department are considering replacing some contract workers who interact with millions of students and parents annually with an artificial intelligence chat bot, according to internal department documents and communications.

The proposal is part of President Trump���s broader effort to shrink the federal work force, and would mark a major change in how the agency interacts with the public. The Education Department’s biggest job is managing billions of dollars in student aid, and it routinely fields complex questions from borrowers.

The department currently uses both call centers and a rudimentary A.I. bot to answer questions. The proposal would introduce generative A.I., a more sophisticated version of artificial intelligence that could replace many of those human agents.

The call centers employ 1,600 people who field over 15,000 questions per day from student borrowers.

The vision could be a model for other federal agencies, in which human beings are replaced by technology, and behemoth contracts with outside companies are shed or reduced in favor of more automated solutions. In some cases, that technology was developed by players from the private sector who are now working inside or with the Trump administration.

Mr. Musk has significant interest in A.I. He founded a generative A.I. company, and is also seeking to gain control of OpenAI, one of the biggest players in the industry. At other agencies, workers from the newly created Department of Government Efficiency, headed by Mr. Musk, have told federal employees that A.I. would be a significant part of the administration’s cost-cutting plans.

A year after the Education Department oversaw a disastrous rollout of a new federal student aid application, longtime department officials say they are open to the idea of seeking greater efficiencies, as have leaders in other federal agencies. Many are partnering with the efficiency initiative.

But Department of Education staff have also found that a 38 percent reduction in funding for call center operations could contribute to a “severe degradation” in services for “students, borrowers and schools,” according to one internal document obtained by The Times.

The Musk associates working inside the Education Department include former executives from education technology and venture capital firms. Over the past several years, those industries have invested heavily in creating A.I. education tools and marketing them to schools, educators and students.

The Musk team at the department has focused, in part, on a help line that is currently operated on a contract basis by Accenture, a consulting firm, according to the documents reviewed by The Times. The call center assists students who have questions about applying for federal Pell grants and other forms of tuition aid, or about loan repayment.

The contract that includes this work has sent more than $700 million to Accenture since 2019, but is set to expire next week.

“The department is open to using tools and systems that would enhance the customer service, security and transparency of data for students and parents,” said Madi Biedermann, the department’s deputy assistant secretary for communications. “We are evaluating all contracts to assess effectiveness relative to costs.”

Accenture did not respond to interview requests. A September report from the Education Department describes 1,625 agents answering 462,000 calls in one month. The agents also handled 118,000 typed chats.

In addition to the call line, Accenture provides a broad range of other services to the student aid system. One of those is Aidan, a more rudimentary virtual assistant that answers basic questions about student aid. It was launched in 2019, during Mr. Trump’s first term.

Accenture reported in 2021 that Aidan fielded 2.2 million messages in one year. But its capabilities fall far short of what Mr. Musk’s associates envision building using generative A.I., according to the internal documents.

Both Mr. Trump and former President Joseph R. Biden Jr. directed federal agencies to look for opportunities to use A.I. to better serve the public.

The proposal to revamp the communication system follows a meltdown in the rollout of the new Free Application for Federal Student Aid, or FAFSA, last year under Mr. Biden. As FAFSA problems caused mass confusion for students applying for financial aid, several major contractors, including Accenture, were criticized for breakdowns in the infrastructure available to students and parents seeking answers and help.

From January through May last year, roughly three-quarters of the 5.4 million calls to the department’s help lines went unanswered, according to a report by the Government Accountability Office.

More than 500 workers have since been added to the call centers, and wait times were significantly reduced, according to the September Department of Education report.

But transitioning into using generative A.I. for student aid help, as a replacement for some or all human call center workers, is likely to raise questions around privacy, accuracy and equal access to devices, according to technology experts.

Generative A.I. systems still sometimes share information that is false.

Given how quickly A.I. capabilities are advancing, those challenges are potentially surmountable, but should be approached methodically, without rushing, said John Bailey, a fellow at the American Enterprise Institute and former director of educational technology at the Education Department under President George W. Bush.

Mr. Bailey has since become an expert on the uses of A.I. in education.

“Any big modernization effort needs to be rolled out slowly for testing, to see what works and doesn’t work,” he said, pointing to the botched introduction of the new FAFSA form as a cautionary tale.

“We still have kids not in college because of that,” he said.

In recent weeks, the Education Department has absorbed a number of DOGE workers, according to two people familiar with the process, who requested anonymity because they were not authorized to discuss the department’s security procedures and feared for their jobs.

One of the people involved in the DOGE efforts at the Education Department is Brooks Morgan, who until recently was the chief executive of Podium Education, an Austin-based start-up, and has also worked for a venture capital firm focused on education technology, according to the two people.

Another new staffer working at the agency is Alexandra Beynon, the former head of engineering at Mindbloom, a company that sells ketamine, according to those sources and an internal document.

And a third is Adam Ramada, who formerly worked at a Miami venture capital firm, Spring Tide Capital, which invests in health technology, according to an affidavit in a lawsuit filed against the Department of Government Efficiency.

None of those staffers responded to interview requests.

[elwenyere]

I saw a post the other day calling criticism of generative AI a moral panic, and while I do think many proprietary AI technologies are being used in deeply unethical ways, I think there is a substantial body of reporting and research on the real-world impacts of the AI boom that would trouble the comparison to a moral panic: while there *are* older cultural fears tied to negative reactions to the perceived newness of AI, many of those warnings are Luddite with a capital L - that is, they're part of a tradition of materialist critique focused on the way the technology is being deployed in the political economy. So (1) starting with the acknowledgement that a variety of machine-learning technologies were being used by researchers before the current "AI" hype cycle, and that there's evidence for the benefit of targeted use of AI techs in settings where they can be used by trained readers - say, spotting patterns in radiology scans - and (2) setting aside the fact that current proprietary LLMs in particular are largely bullshit machines, in that they confidently generate errors, incorrect citations, and falsehoods in ways humans may be less likely to detect than conventional disinformation, and (3) setting aside as well the potential impact of frequent offloading on human cognition and of widespread AI slop on our understanding of human creativity...

What are some of the material effects of the "AI" boom?

Guzzling water and electricity

The data centers needed to support AI technologies require large quantities of water to cool the processors. A to-be-released paper from the University of California Riverside and the University of Texas Arlington finds, for example, that "ChatGPT needs to 'drink' [the equivalent of] a 500 ml bottle of water for a simple conversation of roughly 20-50 questions and answers." Many of these data centers pull water from already water-stressed areas, and the processing needs of big tech companies are expanding rapidly. Microsoft alone increased its water consumption from 4,196,461 cubic meters in 2020 to 7,843,744 cubic meters in 2023. AI applications are also 100 to 1,000 times more computationally intensive than regular search functions, and as a result the electricity needs of data centers are overwhelming local power grids, and many tech giants are abandoning or delaying their plans to become carbon neutral. Google’s greenhouse gas emissions alone have increased at least 48% since 2019. And a recent analysis from The Guardian suggests the actual AI-related increase in resource use by big tech companies may be up to 662%, or 7.62 times, higher than they've officially reported.

Exploiting labor to create its datasets

Like so many other forms of "automation," generative AI technologies actually require loads of human labor to do things like tag millions of images to train computer vision for ImageNet and to filter the texts used to train LLMs to make them less racist, sexist, and homophobic. This work is deeply casualized, underpaid, and often psychologically harmful. It profits from and re-entrenches a stratified global labor market: many of the data workers used to maintain training sets are from the Global South, and one of the platforms used to buy their work is literally called the Mechanical Turk, owned by Amazon.

From an open letter written by content moderators and AI workers in Kenya to Biden: "US Big Tech companies are systemically abusing and exploiting African workers. In Kenya, these US companies are undermining the local labor laws, the country’s justice system and violating international labor standards. Our working conditions amount to modern day slavery."

Deskilling labor and demoralizing workers

The companies, hospitals, production studios, and academic institutions that have signed contracts with providers of proprietary AI have used those technologies to erode labor protections and worsen working conditions for their employees. Even when AI is not used directly to replace human workers, it is deployed as a tool for disciplining labor by deskilling the work humans perform: in other words, employers use AI tech to reduce the value of human labor (labor like grading student papers, providing customer service, consulting with patients, etc.) in order to enable the automation of previously skilled tasks. Deskilling makes it easier for companies and institutions to casualize and gigify what were previously more secure positions. It reduces pay and bargaining power for workers, forcing them into new gigs as adjuncts for its own technologies.

I can't say anything better than Tressie McMillan Cottom, so let me quote her recent piece at length: "A.I. may be a mid technology with limited use cases to justify its financial and environmental costs. But it is a stellar tool for demoralizing workers who can, in the blink of a digital eye, be categorized as waste. Whatever A.I. has the potential to become, in this political environment it is most powerful when it is aimed at demoralizing workers. This sort of mid tech would, in a perfect world, go the way of classroom TVs and MOOCs. It would find its niche, mildly reshape the way white-collar workers work and Americans would mostly forget about its promise to transform our lives. But we now live in a world where political might makes right. DOGE’s monthslong infomercial for A.I. reveals the difference that power can make to a mid technology. It does not have to be transformative to change how we live and work. In the wrong hands, mid tech is an antilabor hammer."

Enclosing knowledge production and destroying open access

OpenAI started as a non-profit, but it has now become one of the most aggressive for-profit companies in Silicon Valley. Alongside the new proprietary AIs developed by Google, Microsoft, Amazon, Meta, X, etc., OpenAI is extracting personal data and scraping copyrighted works to amass the data it needs to train their bots - even offering one-time payouts to authors to buy the rights to frack their work for AI grist - and then (or so they tell investors) they plan to sell the products back at a profit. As many critics have pointed out, proprietary AI thus works on a model of political economy similar to the 15th-19th-century capitalist project of enclosing what was formerly "the commons," or public land, to turn it into private property for the bourgeois class, who then owned the means of agricultural and industrial production. "Open"AI is built on and requires access to collective knowledge and public archives to run, but its promise to investors (the one they use to attract capital) is that it will enclose the profits generated from that knowledge for private gain.

AI companies hungry for good data to train their Large Language Models (LLMs) have also unleashed a new wave of bots that are stretching the digital infrastructure of open-access sites like Wikipedia, Project Gutenberg, and Internet Archive past capacity. As Eric Hellman writes in a recent blog post, these bots "use as many connections as you have room for. If you add capacity, they just ramp up their requests." In the process of scraping the intellectual commons, they're also trampling and trashing its benefits for truly public use.

Enriching tech oligarchs and fueling military imperialism

The names of many of the people and groups who get richer by generating speculative buzz for generative AI - Elon Musk, Mark Zuckerberg, Sam Altman, Larry Ellison - are familiar to the public because those people are currently using their wealth to purchase political influence and to win access to public resources. And it's looking increasingly likely that this political interference is motivated by the probability that the AI hype is a bubble - that the tech can never be made profitable or useful - and that tech oligarchs are hoping to keep it afloat as a speculation scheme through an infusion of public money - a.k.a. an AIG-style bailout.

In the meantime, these companies have found a growing interest from military buyers for their tech, as AI becomes a new front for "national security" imperialist growth wars. From an email written by Microsoft employee Ibtihal Aboussad, who interrupted Microsoft AI CEO Mustafa Suleyman at a live event to call him a war profiteer: "When I moved to AI Platform, I was excited to contribute to cutting-edge AI technology and its applications for the good of humanity: accessibility products, translation services, and tools to 'empower every human and organization to achieve more.' I was not informed that Microsoft would sell my work to the Israeli military and government, with the purpose of spying on and murdering journalists, doctors, aid workers, and entire civilian families. If I knew my work on transcription scenarios would help spy on and transcribe phone calls to better target Palestinians, I would not have joined this organization and contributed to genocide. I did not sign up to write code that violates human rights."

So there's a brief, non-exhaustive digest of some vectors for a critique of proprietary AI's role in the political economy. tl;dr: the first questions of material analysis are "who labors?" and "who profits/to whom does the value of that labor accrue?"

For further (and longer) reading, check out Justin Joque's Revolutionary Mathematics: Artificial Intelligence, Statistics and the Logic of Capitalism and Karen Hao's forthcoming Empire of AI.

[mariacallous]

The Food and Drug Administration has been meeting with OpenAI to discuss the agency’s use of AI, according to sources with knowledge of the meetings. The meetings appear to be part of a broader effort at the FDA to use this technology to speed up the drug approval process.

“Why does it take over 10 years for a new drug to come to market?” wrote FDA commissioner Marty Makary on X on Wednesday. “Why are we not modernized with AI and other things? We’ve just completed our first AI-assisted scientific review for a product and that’s just the beginning.”

The remarks followed an annual meeting of the American Hospital Association earlier this week, where Makary spoke about AI’s potential to aid in the approval of new treatments for diabetes and certain types of cancer.

Makary did not specify that OpenAI was part of this initiative. But sources close to the project say a small team from OpenAI has met with the FDA and two associates of Elon Musk's so-called Department of Government Efficiency multiple times in recent weeks. The group has discussed a project called cderGPT, which likely stands for Center for Drug Evaluation, which regulates over-the-counter and prescription drugs in the US, and Research GPT. Jeremy Walsh, who was recently named as the FDA’s first-ever AI officer, has led the discussions. So far, no contract has been signed.

OpenAI declined to comment.

Walsh has also met with Peter Bowman-Davis, an undergraduate on leave from Yale who currently serves as the acting chief AI officer at the Department of Health and Human Services, to discuss the FDA’s AI ambitions. Politico first reported the appointment of Bowman-Davis, who is part of Andreessen Horowitz’s American Dynamism team.

When reached via email on Wednesday, Robert Califf, who served as FDA commissioner from 2016 to 2017 and again from 2022 through January, said the agency’s review teams have been using AI for several years now. “It will be interesting to hear the details of which parts of the review were ‘AI assisted’ and what that means,” he says. “There has always been a quest to shorten review times and a broad consensus that AI could help.”

Before Califf departed the agency, he said the FDA was considering the various ways AI could be used in internal operations. “Final reviews for approval are only one part of a much larger opportunity,” he says.

To be clear, using AI to assist in final drug reviews would represent a chance to compress just a small part of the notoriously long drug-development timeline. The vast majority of drugs fail before ever coming up for FDA review.

Rafael Rosengarten, CEO of Genialis, a precision oncology company, and a cofounder and board member of the Alliance for AI in Healthcare, says he’s in favor of automating certain tasks related to the drug-review process but says there should be policy guidance around what kind of data is used to train AI models and what kind of model performance is considered acceptable. “These machines are incredibly adept at learning information, but they have to be trained in a way so they're learning what we want them to learn,” he says.

He could see AI being used more immediately to address certain “low-hanging fruit,” such as checking for application completeness. “Something as trivial as that could expedite the return of feedback to the submitters based on things that need to be addressed to make the application complete,” he says. More sophisticated uses would need to be developed, tested, and proved out.

An ex-FDA employee who has tested ChatGPT as a clinical tool says the propensity of AI models to fabricate convincing information raises questions about how reliable such a chatbot might be. “Who knows how robust the platform will be for these reviewers’ tasks,” the ex-staffer says.

The FDA review process currently takes about a year, but the agency has several existing mechanisms to expedite that timeline for promising drugs. One of those is the fast track designation, which is for products designed to treat a serious condition and fill an unmet medical need. Another is the breakthrough therapy designation, created in 2012, which allows the FDA to grant priority review to drug candidates that may provide a substantial benefit to patients compared to current treatment options.

“Ensuring medicines can be reviewed for safety and effectiveness in a timely manner to address patient needs is critical,” says Andrew Powaleny, a spokesperson for the industry group PhRMA, via email. “While AI is still developing, harnessing it requires a thoughtful and risk-based approach with patients at the center.”

The FDA is already doing its own research on potential uses of AI. In December 2023 the agency advertised a fellowship for a researcher to develop large language models for internal use. “During participation in this program, the fellow will engage in various activities that include but are not limited to the applications of LLMs for precision medicine, drug development and regulatory science,” the fellowship description says.

In January, OpenAI announced ChatGPT Gov, a self-hosted version of its chatbot designed to comply with government regulations. The startup also said it was working toward getting FedRAMP moderate and high accreditations for ChatGPT Enterprise, which would allow it to handle sensitive government data. FedRAMP is a compliance program used by the federal government to assess cloud products; unless authorized through this program, a service cannot hold federal data.

[govindhtech]

Benefits Of Conversational AI & How It Works With Examples

What Is Conversational AI?

Conversational AI mimics human speech. It’s made possible by Google’s foundation models, which underlie new generative AI capabilities, and NLP, which helps computers understand and interpret human language.

How Conversational AI works

Natural language processing (NLP), foundation models, and machine learning (ML) are all used in conversational AI.

Large volumes of speech and text data are used to train conversational AI systems. The machine is trained to comprehend and analyze human language using this data. The machine then engages in normal human interaction using this information. Over time, it improves the quality of its responses by continuously learning from its interactions.

Conversational AI For Customer Service

With IBM Watsonx Assistant, a next-generation conversational AI solution, anyone in your company can easily create generative AI assistants that provide customers with frictionless self-service experiences across all devices and channels, increase employee productivity, and expand your company.

User-friendly: Easy-to-use UI including pre-made themes and a drag-and-drop chat builder.

Out-of-the-box: Unconventional To better comprehend the context of each natural language communication, use large language models, large speech models, intelligent context gathering, and natural language processing and understanding (NLP, NLU).

Retrieval-augmented generation (RAG): It based on your company’s knowledge base, provides conversational responses that are correct, relevant, and current at all times.

Use cases

Watsonx Assistant may be easily set up to accommodate your department’s unique requirements.

Customer service

Strong client support With quick and precise responses, chatbots boost sales while saving contact center funds.

Human resources

All of your employees may save time and have a better work experience with HR automation. Questions can be answered by staff members at any time.

Marketing

With quick, individualized customer service, powerful AI chatbot marketing software lets you increase lead generation and enhance client experiences.

Features

Examine ways to increase production, enhance customer communications, and increase your bottom line.

Artificial Intelligence

Strong Watsonx Large Language Models (LLMs) that are tailored for specific commercial applications.

The Visual Builder

Building generative AI assistants using to user-friendly interface doesn’t require any coding knowledge.

Integrations

Pre-established links with a large number of channels, third-party apps, and corporate systems.

Security

Additional protection to prevent hackers and improper use of consumer information.

Analytics

Comprehensive reports and a strong analytics dashboard to monitor the effectiveness of conversations.

Self-service accessibility

For a consistent client experience, intelligent virtual assistants offer self-service responses and activities during off-peak hours.

Benfits of Conversational AI

Automation may save expenses while boosting output and operational effectiveness.

Conversational AI, for instance, may minimize human error and expenses by automating operations that are presently completed by people. Increase client happiness and engagement by providing a better customer experience.

Conversational AI, for instance, may offer a more engaging and customized experience by remembering client preferences and assisting consumers around-the-clock when human agents are not present.

Conversational AI Examples

Here are some instances of conversational AI technology in action:

Virtual agents that employ generative AI to support voice or text conversations are known as generative AI agents.

Chatbots are frequently utilized in customer care applications to respond to inquiries and offer assistance.

Virtual assistants are frequently voice-activated and compatible with smart speakers and mobile devices.

Software that converts text to speech is used to produce spoken instructions or audiobooks.

Software for speech recognition is used to transcribe phone conversations, lectures, subtitles, and more.

Applications Of Conversational AI

Customer service: Virtual assistants and chatbots may solve problems, respond to frequently asked questions, and offer product details.

E-commerce: Chatbots driven by AI can help customers make judgments about what to buy and propose products.

Healthcare: Virtual health assistants are able to make appointments, check patient health, and offer medical advice.

Education: AI-powered tutors may respond to student inquiries and offer individualized learning experiences.

In summary

The way to communicate with robots might be completely changed by the formidable technology known as conversational AI. Also can use its potential to produce more effective, interesting, and customized experiences if it comprehend its essential elements, advantages, and uses.

Read more on Govindhech.com

[elsa16744]

Healthcare Market Research: Why Does It Matter? 

Healthcare market research (MR) providers interact with several stakeholders to discover and learn about in-demand treatment strategies and patients’ requirements. Their insightful reports empower medical professionals, insurance companies, and pharma businesses to engage with patients in more fulfilling ways. This post will elaborate on the growing importance of healthcare market research. 

What is Healthcare Market Research? 

Market research describes consumer and competitor behaviors using first-hand or public data collection methods, like surveys and web scraping. In medicine and life sciences, clinicians and accessibility device developers can leverage it to improve patient outcomes. They grow faster by enhancing their approaches as validated MR reports recommend. 

Finding key opinion leaders (KOL), predicting demand dynamics, or evaluating brand recognition efforts becomes more manageable thanks to domain-relevant healthcare market research consulting. Although primary MR helps with authority-building, monitoring how others in the target field innovate their business models is also essential. So, global health and life science enterprises value secondary market research as much as primary data-gathering procedures. 

The Importance of Modern Healthcare Market Research 

1| Learning What Competitors Might Do Next 

Businesses must beware of market share fluctuations due to competitors’ expansion strategies. If your clients are more likely to seek help from rival brands, this situation suggests failure to compete. 

Companies might provide fitness products, over-the-counter (OTC) medicines, or childcare facilities. However, they will always lose to a competitor who can satisfy the stakeholders’ demands more efficiently. These developments evolve over the years, during which you can study and estimate business rivals’ future vision. 

You want to track competing businesses’ press releases, public announcements, new product launches, and marketing efforts. You must also analyze their quarter-on-quarter market performance. If the data processing scope exceeds your tech capabilities, consider using healthcare data management services offering competitive intelligence integrations. 

2| Understanding Patients and Their Needs for Unique Treatment  

Patients can experience unwanted bodily changes upon consuming a medicine improperly. Otherwise, they might struggle to use your accessibility technology. If healthcare providers implement a user-friendly feedback and complaint collection system, they can reduce delays. As a result, patients will find a cure for their discomfort more efficiently. 

However, processing descriptive responses through manual means is no longer necessary. Most market research teams have embraced automated unstructured data processing breakthroughs. They can guess a customer’s emotions and intentions from submitted texts without frequent human intervention. This era of machine learning (ML) offers ample opportunities to train ML systems to sort patients’ responses quickly. 

So, life science companies can increase their employees’ productivity if their healthcare market research providers support ML-based feedback sorting and automation strategies. 

Besides, hospitals, rehabilitation centers, and animal care facilities can incorporate virtual or physical robots powered by conversational artificial intelligence (AI). Doing so is one of the potential approaches to addressing certain patients’ loneliness problems throughout hospitalization. Utilize MR to ask your stakeholders whether such integrations improve their living standards. 

3| Improving Marketing and Sales 

Healthcare market research aids pharma and biotechnology corporations to categorize customer preferences according to their impact on sales. It also reveals how brands can appeal to more people when introducing a new product or service. One approach is to shut down or downscale poorly performing ideas. 

If a healthcare facility can reduce resources spent on underperforming promotions, it can redirect them to more engaging campaigns. Likewise, MR specialists let patients and doctors directly communicate their misgivings about such a medicine or treatment via online channels. The scale of these surveys can extend to national, continental, or global markets. It is more accessible as cloud platforms flexibly adjust the resources a market research project may need. 

With consistent communication involving doctors, patients, equipment vendors, and pharmaceutical brands, the healthcare industry will be more accountable. It will thrive sustainably. 

Healthcare Market Research: Is It Ethical? 

Market researchers in healthcare and life sciences will rely more on data-led planning as competition increases and customers demand richer experiences like telemedicine. Remember, it is not surprising how awareness regarding healthcare infrastructure has skyrocketed since 2020. At the same time, life science companies must proceed with caution when handling sensitive data in a patient’s clinical history. 

On one hand, universities and private research projects need more healthcare data. Meanwhile, threats of clinical record misuse are real, having irreparable financial and psychological damage potential. 

Ideally, hospitals, laboratories, and pharmaceutical firms must inform patients about the use of health records for research or treatment intervention. Today, reputed data providers often conduct MR surveys, use focus groups, and scan scholarly research publications. They want to respect patients’ choice in who gets to store, modify, and share the data. 

Best Practices for Healthcare Market Research Projects 

Legal requirements affecting healthcare data analysis, market research, finance, and ethics vary worldwide. Your data providers must recognize and respect this reality. Otherwise, gathering, storing, analyzing, sharing, or deleting a patient’s clinical records can increase legal risks. 

Even if a healthcare business has no malicious intention behind extracting insights, cybercriminals can steal healthcare data. Therefore, invest in robust IT infrastructure, partner with experts, and prioritize data governance. 

Like customer-centricity in commercial market research applications, dedicate your design philosophy to patient-centricity. 

Incorporating health economics and outcomes research (HEOR) will depend on real-world evidence (RWE). Therefore, protect data integrity and increase quality management standards. If required, find automated data validation assistance and develop or rent big data facilities. 

Capture data on present industry trends while maintaining a grasp on long-term objectives. After all, a lot of data is excellent for accuracy, but relevance is the backbone of analytical excellence and business focus. 

Conclusion 

Given this situation, transparency is the key to protecting stakeholder faith in healthcare data management. As such, MR consultants must act accordingly. Healthcare market research is not unethical. Yet, this statement stays valid only if a standardized framework specifies when patients’ consent trumps medical researchers’ data requirements. Healthcare market research is not unethical. Yet, this statement stays valid only if a standardized framework specifies when patients’ consent trumps medical researchers’ data requirements. 

Market research techniques can help fix the long-standing communication and ethics issues in doctor-patient relationships if appropriately configured, highlighting their importance in the healthcare industry’s progress. When patients willingly cooperate with MR specialists, identifying recovery challenges or clinical devices’ ergonomic failures is quick. No wonder that health and life sciences organizations want to optimize their offerings by using market research. 

[longlistshort]

Today’s throwback is to Jenson Leonard’s solo exhibition Workflow, at Wood Street Galleries in Pittsburgh, from the beginning of February.

From the gallery about the work-

Workflow, the first institutional solo exhibition of artist Jenson Leonard, centers on a titular film that explores the velocity and momentum of Blackness as it relates to the philosophical concept of acceleration—the notion that the only way out of capitalism is through its intensification.

In Workflow, a spectral Michael Jackson Halloween mask recites a surrealistic quarterly earnings reports. Building on a 2017 essay by artist Aria Dean titled “Notes on Blacceleration,” the short film centers on the ways in which the Black subject grapples with its commodified status within the labor market despite—or, resultant of—its own history as a commodity, stemming back to the Trans-Atlantic slave trade. Completed during Leonard’s residency at Pioneer Works in 2021, the video utilizes uncanny humor as a mechanism to expose the shared grammars inherent in Afro-pessimism and speculative finance.

Within the exhibition, the film repeats simultaneously across two grids of computer monitors situated on ergonomic desks that flank the gallery, mimicking the workstations that can be found ubiquitously across stock trading floors and financial institutions. Sculptures modeled after computer keyboards and mouses are displayed on the desks, each rendered inoperable by concentric riffs that symbolize the erratic transformations caused by the flows of capital. The appearance of Jackson represents a transmogrification of its own; whereas many have aligned the controversial pop icon’s bleached skin and surgical procedures with Black self-hatred, Leonard positions his bodily modifications as a radical rupture from racial paradigms of being.

In Leonard’s own words, “Workflow is defined as the sequence of industrial, administrative, or other processes through which a piece of work passes from initiation to completion. My film seeks to disabuse notions of completion, whether it be completion of the human, the nation state, or civil society. As Dean notes, Blackness is ‘always already accelerationist’ via its incongruence with Western humanism, a wrench thrown into the locomotive gears of ‘capital and subjecthood.’ Her essay prompts us to look toward the way that the Black has been historically constructed outside of the human, as coterminous with the slave. Slavery therefore represents a kind of proto-automation, a mass forced coercion of labor, and the Blacks’ transition from object to subject calls for a reappraisal of accelerationist ideas about the (non)human entity and its revolutionary potential.”

The artist continues, “There is something about going to work—the repetition of it—that gets inscribed at an epigenetic level, as an everyday, embodied violence. From there, I thought about the panoptic workplace (open air plan, transparent yet closely surveilled, management that does not have to be in the room to be monitoring you), the fetish of efficiency (ergonomic mouse and keyboards so you can work longer), biometric data of a labor force (fingerprint and facial scans to help reduce repeat processing tasks). All of these methods to maximize profits and production can be traced back to methods worked out and perfected in the cotton and sugar cane fields hundreds of years prior.”

The text from the video was included on one of the gallery walls (image above) but I’ve included it below as well as it is definitely worth reading.

“Looking out across the macro- Panoptic eyes are everywhere. Predictive models rendered bilious, You are scalable, You contain platitudes. Clean and renewable, black from the waste management down. These are micro-credentials too big to fail. Angel investors watch over you, guide you through your webinar. You are green with infrastructure. A Nick Land acknowledgment. A multiprocession of the tiniest micropixels in all of the Anglosphere. Plan your obsolescence. Chitin’ circuitry courses through you. Wayward modulation thrumming, throbbing like an old techno spiritual. A Self driving mythology Keloid optimized. Upload speeds faster than Drapetomania. A contactless, decentralized, hands free accumulation. The base salary determines the superstructure of your beast of burden of proof of concept. Perfection is the enemy of egress. Pay the heap of flesh no mind, live in the nanosecond. Fake it till you’re skeuomorphic. You’re more than the sum of your outsourced manufacturing components. Know your neural net worth. Walk with your overhead held high. There’s never been more exciting growth in the excrement sector! It is easier to imagine the end of the world than to unsubscribe from my Onlyfans. Rather, If you can’t handle me at my Linkedin you don’t deserve me at my locked in chastity. Will you risk it all to manage my assets? Are you willing to do my taxes from the back? Tax to mouth? From the overton window, to the overton wall, to the overton sweat drop down my overton balls. Going, going… Zong.”

[sablewing]

AI - Solving the Wrong Problems Because It's Cheaper - 325 - 15 February 2024

I've been reading the various opinion pieces on Artificial Intelligence (AI) and I definitely have opinions about what I've read. Here is a short list of some of the highlights of items I've found

AI is a public relations (PR) term for a predictive pattern generator, i.e. a text completion tool. The better term to use is Large Language Model (LLM) for language processing, and image generator for image generation.

AI is the latest attempt by the software industry to automate software development work and other jobs viewed as excessively expensive and easy to automate for businesses

The current models of AI available to the public are meant to present as pleasing eye candy to those who are inexperienced with different questions. When technical experts use the tools, the reports are about the lack of detail and deficiencies in the answers. The answers provide a starting place but not a complete solution for the questions.

AI is being used to solve the wrong problems It's being used this way because it is cheaper and easier than using it to solve the right problems

There are benefits to the current set of AI software models, if they are viewed as tools that need to be mastered instead of replacements for employees

AI is a public relations (PR) term for a fancy search engine

As I've gotten older and perhaps somewhat wiser, I've finally realized that the latest and greatest tech is often referred to using terms that are a good fit for marketing and may or may not be a good fit for the actual technology described. With the latest hullabaloo about AI I have found the same type of hype, that seems meant to better generate buzz and eyeballs on companies instead of describing the technology.

After reading a bit about AI and trying out one of the engines, here is how I would describe this new technology, which isn't all that new. The actual name of the technology, as used in the industry, is Large Language Model (LLM). A LLM is software that is used to predict what the next word, paragraph or other content based on a very large collection of data that has been organized. The software is used to process many various inputs and it is trained to emulate human behavior and write new content based on the information it has organized. For example, if someone asks the question, "What could I eat for breakfast?", the LLM might answer 'cereal', 'bacon and eggs', or 'fruit and roll', based on the dataset it has gathered.

There are problems that can occur when trying to use an LLM to write something like a blog article or a short story. At the current state of the software, it is creating a work based on the probability of the words and without a context that is tied to the real world. The only input is text and guidance from the LLM developers. A human has additional inputs through their senses, and their experiences in addition to information they have read or heard. A human also receives inputs from multiple humans of varying ages and backgrounds, while an LLM would receive limited input from a select set of humans, software developers specializing in the creation of neural networks.

In summary, LLMs are used to predict a probably outcome, not to use knowledge to generate an outcome. This means that the outcome is not original content but a result based on sifting through multiple sources to come up with what appears to be the best fit. As such, an LLM can at best emulate human intelligence in a very limited way. And if it receives new input in the form of questions, it will have limited context to process to find an answer. For example, for the question about breakfast, I asked what it would recommend, I got a fairly complete list of breakfast foods that seem centered on United States cuisine. I had to ask for breakfast and specify a different location in order to get different lists. A human might first ask, "Where do you want to eat breakfast?" before answering so they could have a context for the question. There are factors that we perceive, such as clothing, skin tone, gender and other physical characteristics that might change our answer. With a test LLM, it seems very sure of itself and if it can find an answer, it will provide one, even if it might be wrong.

Which to be fair, humans will also do this. People want to be helpful and it feels better to provide information instead of saying "I don't know." In the end, my assessment is that LLM's or AI as they might be called, are fancier search engines that can find existing data to answer questions, even if the information they provide is incorrect.

AI is the latest attempt by the software industry to automate software development work

Another feature I've seen recommended for AI is writing software. People are worried they might lose their software development job to an AI as they continue to improve in functionality. Based on trends I've seen in my career, I wouldn't be too worried about this as a problem. Here are some examples of attempts to automate software development that are no longer used or only used as a tool by software developers.

Have a few software architects design and write pseudo code that can be implemented by developers. The pseudo code will work perfectly so people with minimal skills can be used at a cheaper cost to implement the software.

Object oriented code will be added to libraries and create a foundation that only a few developers will need to use to develop software programs

Code will be designed to work in modules that do not require integration testing before they are deployed

A high level language will be used that will remove all possibility of errors introduced by developers. (This is a popular theme and based on articles about a new language, seems like it still occurs.

Eventually each language settles down into its niche usage or fades away from lack of use due to complexity/still requires debugging that outweighs its features.

App creation tools for phones will open up programming to anyone who is interested.

I've seen each of these trends come and go, and each one of them was supposed to reduce the number of developers required or reduce the skill level required to create good quality software programs. I'm still waiting for this to work and I don't think software development as a profession is going away any time soon.

AI is being used to solve the wrong problems and It's being used this way because it is cheaper and easier than using it to solve the right problems

Right now AI is used to reduce the time required to search large amounts of stored data. The search results are based on answers that are guessed due to the quantity and context of possible answers. The data itself is not organized, it is left as is and the AI builds a model to use when searching it.

These searches are based on the assumptions that The data is complete

The data is of high quality and covers the majority real world use cases

This model can be used to find data with accuracy approaching 100%

When looking at data that is not clean, it becomes easy to find examples where these assumptions fail. While this sounds like a worthwhile problem, it is also an easy problem for computers to solve, compared to other real world problems. Computers are very good at repetitive functions and searching for matches in an optimized matter is a core part of software development. But these searches are not generating new information, they are only allowing people to be somewhat more efficient at finding data. And if a person does not have skill or experience in generating good questions for AI, even this function is questionable.

There is a lot of money getting spent on this development so it sounds like it is a very expensive pursuit. However, there are other real world problems that would be of greater benefit, in my opinion, that are making little or no progress. Two examples of very hard problems to solve are sewing clothes and harvesting crops. Both activities are low paying and considered to require very little skill. It seems like they would be fields ripe for disruption and replacement by automation.

The reality is that both activities require things that automation does not have, such as

Vision

Manual dexterity

Ability to work in very bad conditions

Judgment

Current automation techniques are building machines that do have a type of vision and which can manipulate objects in the real world. Those machines are not paired with software that can also make quick and correct judgments and work in very bad conditions. If a machine is set to work in a wet, dirty and unsafe environment, it will eventually shut down or possibly break down. The machines have to operate in a very specific set of conditions and require monitoring to ensure they continue functioning. This monitoring is less labor intensive than the labor but it still requires human input. Sadly, a machine has to work in better conditions than a human or it will break down and lose the investment dollars. There are reports that describe the difficulty of generating profit when using technology to farm indoors.

In my opinion, the current efforts of AI are focused on the following goals:

Scrape existing data from as many on-line sources as possible Store the data in a database that is easily searchable Pair it with software that parses questions to search the data for the most populated result which may not be the correct result

This set of goals can easily make use of existing infrastructure and does not require any great innovation to gather data or organize the data for the search results. By great innovation, I am looking at discoveries like the creation of HTML, the microcomputer and other inventions that were a unique combination of existing technology that required insight and experience to develop. AI engines appear to be, in my opinion, simply refinement of existing search methods that is assembled in a user friendlier format to reach a broader audience.

If I were going to develop new tools that I think might be useful, here are a couple of my suggestions

Human reviewed data that is organized by categories. The categories are used to provide context for performing a search. For example, if searching for the word 'tile', there is a context of buying tiles for the kitchen, gaming tiles, historical tile work, or the manufacturing process for kitchen tile. Current search engines will provide the most asked for searches and depend on the user to come up with the correct context to find the term they want. There could be multiple filters selected, such as business versus educational, to help narrow down the results. AI might be used to search and suggest organization, humans would use this as a tool to review and approve/change the suggested categories. I think of this as a role for a type of librarian, one who manages on-line data instead of physical books.

Building algorithms that parse real world data based on input from various sensors. The algorithms would gather data and have self-modifying algorithms to organize the data in some method. Humans would be involved in guiding the algorithms towards societally and morally acceptable methods of parsing the data. The algorithms would have attachments that could interact with the environment that it is gathering data in. If this seems complicated, human children are performing these same activities from birth. Yet we seem to have a lot of difficulty training machines to do the same things that human children learn in the first five years of their life. I would not attach this type of software to the internet, it would be too easy for it to devolve and revert to the current level of AI algorithms that simply search and repeat back what they find. The intent is to have a machine experience parts of the world in the same way as living beings to see if they can respond back in a similar way.

Summary

The latest artificial intelligence algorithms are simply the latest of a set of tools that high level managers and investors see as a way to make money in the short term and not necessarily as tools for long term use. There are long term uses for this type of software, if in my opinion it is viewed as a tool and not a replacement for people and their experience. There are harder problems that if solved could be of great benefit. However, these uses of software would not yield returns as quickly as the current set of short term goals. Even with this short turnaround of return for investment, the software is advertised in ways designed to engage emotions and short circuit rational thought about the use of AI. My recommendation is to wait and see what companies survive the current advertising and pump cycle before investing or predicting how AI will change the world.

References for this article, including opinions from others who write more concisely than I do about AI and its possible impacts.

[pirepoumon]

while job-hunting is very clearly miserable and a slog of companies who at best are still chronically ghosting candidates and potentially, yes, posting jobs they are not going to actually hire for, this "article" is barely better than an ad.

MyPerfectResume is not a reputable source, their survey is suspect immediately because "we have secret insider knowledge from recruiters, job candidates are fucked without that knowledge" is the premise of their value proposition to get you to buy their services. it is the prologue to an ad, it's SEO shit. they're creating fear to sell you a solution! it's marketing, forbes is just amplifying it unquestioningly!

their own report on their survey is written just neutrally enough to seem convincing, but i find the way they summarize their own statistics on "AI and automated tool use" as "96% of recruiters use AI even though 35% say it doesn't work" (dropping the "and automated tools," which is much broader!) as being the same approach - massaging data and framing to scare you into thinking you can't get a job on your own.... so you should use their product. these are on the same page, but the scarier/buzzword-ier one comes first!

it doesn't even specify what industries, levels of title/pay, geographical areas, or other information about the 753 recruiters they surveyed - there is no way to tell if these scary numbers apply to you at all. the author is a "career expert" (???) with a neuropharmacology PhD which has nothing to do with recruiting and frankly academia's norms and customs are often wildly out of step with most industries other than it. the website's editorial policy linked in the author bio states "We use the latest available information from official sources, like the U.S. Bureau of Labor Statistics, and research from known and trusted sources, like major universities and the Deloitte Center for Integrated Research, among others. We will always include a direct link to research to ensure the transparency of our findings." this article clearly does not, because it is not coming from a reputable source, it appears to be a biased in-house affair and therefore suspect.

jobhunting is so so tough right now, but I wouldn't trust someone trying to sell me a solution to my woes to have the objectively, rigorously sourced and verified hypothesis as to why.

"About 81% of recruiters say that their employer posts “ghost jobs,” or positions that either don’t exist or are already filled, according to a new report from MyPerfectResume, a resume building platform. Jasmine Escalera, a career expert for MyPerfectResume, says this figure is staggering, and discouraging for candidates looking to land a new role.

“We often hear job-seekers saying, ‘I’m tired, I’m depressed, I’m desperate,’ using these very harsh words when it comes to the job market,” she says. “This is one of the reasons why they are losing faith in organizations and companies.”

Not only are recruiters fessing up to the tactic, they’re also admitting to how common it is. Around 17% say up to three quarters of their job announcements aren’t genuine, while 21.5% say ghost jobs account for half of all positions they post, 36% say a quarter of their postings are fake or already filled, and 18% of headhunters report that less than one tenth of their work advertisements aren’t real.  

It may seem counterproductive for recruiters to advertise ghost jobs, theoretically wasting their own time as well as that of applicants—but there are incentives for doing so. About 38% say they post fake positions to maintain a presence on job boards when they aren’t hiring, 36% do so to assess the effectiveness of their job descriptions, 26% want to build a talent pool for the future, 26% hope gain insight into the job market and competitors, and 25% want to assess how difficult it would be to replace certain employees, according to the report. Escalera points out that a big reason for posting these jobs is recruiters wanting to improve their business’ image—nearly a quarter also say that fake jobs help their companies look as if they aren’t experiencing a hiring freeze, and one fifth say they post ghost jobs to improve the reputation of their company."

(August 19, 2024)

[ariatelecomsolutions]

Empowering Communication: Trusted Call Center Suite Provider Company in UAE

In a digitally connected world, seamless customer interaction is no longer a luxury—it's a necessity. Businesses across the UAE are rapidly adopting unified communication tools to streamline operations, enhance productivity, and deliver world-class customer service. At the center of this transformation is a trusted Call Center Suite Provider Company in UAE like Aria Telecom, delivering end-to-end contact center solutions that redefine the way you connect with your customers.

From small businesses to large enterprises, companies are realizing the value of integrated communication platforms. If you’re searching for a reliable partner that combines innovation, efficiency, and localized support, Aria Telecom is your go-to solution.

Why Choose a Call Center Suite?

A call center suite isn’t just a set of phone lines. It’s an all-in-one communication hub that handles inbound and outbound calls, manages omnichannel engagement, integrates with CRM systems, and provides advanced analytics. Key features include:

Interactive Voice Response (IVR)

Automatic Call Distribution (ACD)

Predictive Dialers

Call Recording & Monitoring

SMS, Email & Social Media Integration

Real-Time Reporting Dashboards

These features empower businesses to manage higher call volumes, reduce operational costs, and deliver consistent customer experiences across platforms.

Aria Telecom: The Leading Call Center Suite Provider Company in UAE

As a top-tier Call Center Suite Provider Company in UAE, Aria Telecom delivers intelligent, scalable, and customizable solutions to suit every business size and industry. Whether you're in healthcare, finance, retail, education, or public services, we offer cloud-based and on-premise solutions tailored to your needs.

What makes Aria Telecom stand out?

Tailor-Made Solutions: We customize every suite to fit your specific operations, ensuring optimal performance and scalability.

Fast & Easy Deployment: With a skilled local team in the UAE, our installations are smooth, timely, and fully supported.

Advanced Analytics: Make data-driven decisions using real-time performance metrics, customer insights, and call reports.

Seamless Integrations: We integrate with leading CRM platforms, ERPs, and databases.

Omnichannel Support: Manage calls, chats, emails, and social interactions from one dashboard.

We understand the demands of the UAE market and provide localized support to ensure your business never misses a beat.

Benefits of Implementing a Call Center Suite

Companies that implement our suite see noticeable improvements in both operations and customer satisfaction:

Boosted Agent Productivity: With automation and simplified workflows, your team can handle more inquiries with less effort.

Enhanced Customer Satisfaction: Intelligent call routing and self-service options reduce wait times and resolve issues faster.

24/7 Availability: Cloud-based solutions allow your team to work from anywhere, anytime.

Stronger Compliance: We ensure that your customer interactions meet UAE's data security and regulatory standards.

Scalable Infrastructure: Easily add users, features, or communication channels as your business grows.

By choosing a trusted Call Center Suite Provider Company in UAE, you're setting your organization up for long-term communication success.

Who Can Benefit?

Our clients span diverse sectors, each with unique communication challenges that our platform helps solve:

E-commerce: Manage order inquiries, complaints, and returns with fast, multichannel support.

Banking & Finance: Improve verification processes, manage large call volumes, and ensure secure data handling.

Healthcare: Enable round-the-clock appointment booking, emergency response, and follow-up care coordination.

Real Estate: Streamline property inquiries, bookings, and agent-customer communication.

Government Services: Offer multilingual, automated public service support and helplines.

Future-Proofing Your Communication Strategy

The future of business communication lies in intelligent automation and omnichannel connectivity. At Aria Telecom, we stay ahead of the curve with:

AI-Powered Call Routing

Speech Analytics & Transcription

Chatbots & Virtual Assistants

WhatsApp Business Integration

Cloud-to-On-Premise Flexibility

These innovations ensure that your organization is equipped for both today’s needs and tomorrow’s expectations.

[digitaljinalpatel]

How DGmark Institute Shaped My Digital Marketing Career – A Personal Review

In today’s world, where digital skills define your career path, choosing the right place to learn digital marketing can be tricky. There are hundreds of courses, both online and offline, all promising placements and certifications. I was looking for something more—something practical, trustworthy, and industry-aligned.

That’s how I found DGmark Institute, a name that kept coming up in recommendations, and for good reason. What follows is my honest review based on my personal learning experience.

What Made Me Pick DGmark Institute

What impressed me most about DGmark Institute is its foundation. Unlike traditional coaching centers, it is run by an actual digital marketing company—DGmark Agency, under the leadership of Mr. Chandan Thakur. This direct link between agency and academy ensures the training isn’t based on theory alone but is rooted in real-world digital campaigns.

Most courses I saw were either too basic or purely online. But DGmark offered a full-fledged, offline course with hands-on training at centers spread across Mumbai—and it was priced very reasonably.

What You’ll Learn – A Look at the Course Modules

The digital marketing program at DGmark Institute is designed to cover the complete spectrum of marketing skills. Key modules include:

SEO (Search Engine Optimization)

Google Ads (Search, Display, Video, Performance Max)

Instagram and Facebook Ads

Content Strategy and Social Media Marketing

Building Websites with WordPress

Email Marketing and CRM Integration

YouTube Video SEO

Canva-based Design Projects

Marketing Automation Tools

Introduction to AI tools like ChatGPT and Canva AI

Each module is practice-driven. We weren’t just told how to run ads or build a site—we actually did it.

My Learning Experience Inside the Classroom

The classrooms are lively and supportive. Trainers work more like mentors than lecturers. Every session includes activities such as running live campaigns, writing blogs, analyzing website data, and handling actual business projects.

What stood out to me is the way trainers communicate. Whether you’re most comfortable in Hindi, Marathi, or English, they adapt. As someone completely new to this field, I appreciated how approachable everything felt.

Internship and Real-World Exposure

After finishing the 4-month course, I was offered a 3-month internship. I joined a digital marketing firm in Mumbai, where I:

Received a stipend of ₹8,000/month

Managed real client advertising on Google and Meta

Built performance reports and participated in strategy meetings

That internship eventually led to a full-time role with the same company, proving how effective DGmark’s placement assistance really is.

Freelancing and Entrepreneurial Pathways

Not everyone from my class went into jobs. Some became freelancers, while others used their new skills to grow their own or family businesses.

A few examples:

One batchmate launched an Instagram ad service for beauty salons

Another helped optimize her family’s retail store listing on Google to drive more foot traffic

What DGmark teaches goes beyond employment—it also empowers you to create your own opportunities.

Centers and Accessibility

DGmark Institute has four conveniently located training centers in:

Andheri

Goregaon

Borivali

Mira Road

All centers are close to train stations and easily accessible. They also offer flexible batches in the morning, afternoon, and evening—ideal for students, job seekers, and working individuals.

The Bigger Picture: Why Digital Marketing?

Digital marketing isn’t just a trend. It’s a must-have skill in today’s professional world. Learning it opens multiple doors, including:

Full-time career roles

Freelancing for clients globally

Building your own business brand online

Generating side income through blogging, affiliate marketing, or content creation

And you don’t need a technical background to start. The training at DGmark is beginner-friendly and builds up your knowledge step-by-step.

Who Should Consider Joining DGmark Institute?

Whether you’re:

Fresh out of school or college

A professional planning a career shift

A homemaker exploring a comeback

A business owner trying to scale digitally

DGmark offers the kind of education that adapts to your goals. Plus, they help with mock interviews, portfolio creation, and overall job readiness.

Community Support and Career Guidance

Long after completing the course, I’m still part of the DGmark network. I continue to receive:

Job leads through WhatsApp

Access to learning materials and alumni events

Career counseling when needed

They truly care about their students’ long-term growth—not just short-term outcomes.

My Final Verdict

Joining DGmark Institute was one of the most beneficial decisions I’ve made for my career. Enrolling in the best digital marketing course in Mumbai gave me real, practical skills and opened doors to a professional future I once wasn’t sure how to access

If you’re serious about building a career in digital marketing and want guidance from real professionals, DGmark Institute is a place I highly recommend.

[anandtechverceseo]

Crafting Your Digital Future: Choosing the Best Software Development Company in Chennai

Chennai has rapidly emerged as a leading hub for technology and innovation in India. With a thriving ecosystem of IT parks, incubators, and skilled talent, the city offers fertile ground for businesses seeking software solutions that drive growth. Whether you’re a startup launching your MVP or an enterprise modernizing legacy systems, partnering with the best software development company in Chennai can be the catalyst that transforms your ideas into reality.

Why Chennai for Software Development?

Abundant Technical Talent Chennai’s universities and engineering colleges churn out thousands of IT graduates each year. Companies here benefit from a deep pool of developers skilled in Java, Python, .NET, JavaScript frameworks, and emerging technologies like AI/ML and blockchain.

Cost-Effective Excellence Compared to Western markets, Chennai firms offer highly competitive rates without compromising on quality. Lower operational costs translate to more budget freed up for innovation and scaling.

Mature Ecosystem Home to established IT giants and a burgeoning startup scene, Chennai provides a mature support network. From coworking spaces to domain-specific meetups, you’ll find the resources and community necessary to accelerate development.

Key Qualities of a Leading Software Development Company in Chennai

When evaluating a Software Development Company in Chennai, consider these hallmarks of excellence:

Full-Stack Expertise The best partners bring strength across the entire technology stack—frontend, backend, database, DevOps, and quality assurance. They can handle your project end-to-end, ensuring seamless integration and consistent architecture.

Agile Methodologies Rapid iterations, regular demos, and adaptive planning are non-negotiable. An agile approach ensures your feedback drives each sprint, reducing time-to-market and keeping features aligned with evolving business goals.

Domain-Specific Knowledge Whether you’re in healthcare, finance, e-commerce, or logistics, domain expertise accelerates project kickoff and mitigates risk. Top Chennai firms maintain specialized vertical teams that understand regulatory requirements, user expectations, and industry best practices.

User-Centered Design Software is only as good as its usability. Look for companies with dedicated UX/UI designers who conduct user research, create wireframes, and test prototypes—ensuring your solution delights users and maximizes adoption.

Robust Quality Assurance Automated tests, continuous integration pipelines, and rigorous code reviews safeguard against defects and security vulnerabilities. Quality-driven teams catch issues early, saving time and preserving your brand’s reputation.

Transparent Communication Time zone alignment, clear reporting, and responsive project managers keep you in the loop at every stage. Transparency fosters trust and empowers swift decision-making.

Services to Expect from Top Chennai Software Houses

Custom Application Development Tailored software built to your precise specifications, from desktop portals and mobile apps to complex enterprise systems.

Legacy System Modernization Refactoring, reengineering, or migrating monolithic applications to modern microservices architectures and cloud platforms like AWS, Azure, or Google Cloud.

Enterprise Integration Connecting CRM, ERP, and third-party APIs to streamline workflows and centralize data.

DevOps & Cloud Services Infrastructure as code, containerization with Docker/Kubernetes, CI/CD pipelines, and proactive monitoring for high availability and scalability.

Data Analytics & AI/ML Harnessing big data, predictive modeling, natural language processing, and computer vision to unlock insights and automate decision-making.

Maintenance & Support Ongoing operational support, performance tuning, security patches, and feature enhancements to ensure long-term success.

How to Select the Best Software Development Company in Chennai

Portfolio & Case Studies Review past projects, client testimonials, and measurable outcomes—such as performance improvements, cost savings, or revenue growth.

Technical Assessments Engage in small proof-of-concept tasks or coding challenges to gauge technical proficiency and cultural fit.

Reference Checks Speak with previous clients about communication practices, adherence to budgets, and post-delivery support.

Cultural Alignment Shared values, work ethics, and vision foster collaboration and minimize friction over the project lifecycle.

Scalability & Flexibility Ensure the company can scale its team rapidly and adapt to shifting requirements without breaking the budget.

Conclusion

Selecting the best software development company in Chennai involves more than just comparing hourly rates. It demands a holistic evaluation of technical capabilities, process maturity, domain expertise, and cultural fit. By partnering with a seasoned Software Development Company in Chennai that checks all these boxes, you’ll unlock the agility, innovation, and reliability necessary to propel your business forward in today’s digital-first world.

[erpsoftwaredubaiuae]

WMS and Automation: Transforming Warehouse Operations

In today’s highly competitive and fast-paced business environment, efficiency, accuracy, and speed are no longer optional—they’re essential. For warehouse and logistics managers, the pressure to optimize operations while reducing costs is greater than ever. This is where the integration of Warehouse Management Systems (WMS) and automation technologies comes into play, creating a powerful combination that is revolutionizing warehouse operations across industries.

What is a Warehouse Management System (WMS)?

A Warehouse Management System is a software solution that provides visibility into a company’s inventory and manages supply chain fulfillment operations from the distribution center to the store shelf. A robust WMS optimizes picking, packing, shipping, and inventory management, making warehouse operations more efficient and less prone to human error.

The Role of Automation in Warehousing

Warehouse automation involves the use of technology—including robotics, conveyor systems, barcode scanners, RFID, and AI-powered machines—to automate repetitive tasks within the warehouse. These technologies reduce manual labor, improve accuracy, and speed up overall operations.

How WMS and Automation Work Together

Integrating automation tools with a WMS unlocks the full potential of both systems. Here's how:

1. Optimized Inventory Management

Automated systems continuously update inventory levels in real time through barcode scanning and RFID tracking. When integrated with a WMS, this provides warehouse managers with up-to-the-minute data, enabling smarter stock decisions and reducing the risk of overstocking or stockouts.

2. Faster Order Fulfillment

Automation speeds up the picking and packing process. A WMS can direct automated guided vehicles (AGVs) or robotic arms to specific storage areas, allowing for faster and more accurate order fulfillment with minimal human intervention.

3. Reduced Errors and Increased Accuracy

Manual data entry and handling often lead to errors. Automated systems reduce these risks, and a WMS ensures accurate tracking of every item, from the moment it enters the warehouse until it leaves.

4. Improved Labor Efficiency

With automation handling repetitive and labor-intensive tasks, human workers can focus on more strategic roles. A WMS can assign tasks more intelligently, balancing workloads and improving overall labor productivity.

5. Real-Time Data and Analytics

An automated warehouse equipped with WMS delivers actionable insights through real-time dashboards and reports. This allows managers to make informed decisions, anticipate demand, and continually refine operations.

Benefits of WMS-Driven Automation

Cost savings over time through reduced labor and improved efficiency

Better space utilization via intelligent storage and retrieval systems

Enhanced customer satisfaction due to quicker and more accurate deliveries

Scalability to support future growth without a proportional increase in workforce

The Future of Warehouse Automation

As technologies like Artificial Intelligence (AI), the Internet of Things (IoT), and Machine Learning continue to evolve, warehouses are becoming smarter and more autonomous. Predictive analytics, voice-picking systems, and autonomous mobile robots are no longer concepts of the future—they’re happening now.

Businesses that adopt WMS-integrated automation early are setting themselves up for long-term success, improved ROI, and a competitive edge in an increasingly demanding market.

Conclusion

The combination of Warehouse Management System and automation is not just a technological upgrade—it’s a strategic move that transforms how warehouses operate. By streamlining processes, reducing errors, and enhancing scalability, this powerful duo paves the way for smarter, faster, and more efficient warehouse operations.

[cloudtelephony12]

Best Cloud Telephony Services in Hyderabad — Setup, Features & Benefits

Communication is the backbone of every business. When it is clear and efficient, productivity soars high, and relationships with clients & partners grow stronger. However, traditional business phone systems are no longer enough — they are quite expensive to maintain, hard to scale, and cannot fulfill the needs of today’s fast-moving business world.

With teams spread across different cities or even countries, the need for a flexible and cost-effective solution becomes obvious. That’s where cloud telephony comes to the rescue.

Especially in such a dynamic market like Hyderabad, where tech-savvy consumers expect reliable and faster customer service, businesses cannot afford any kind of communication gaps. So, if you wish to deliver a smooth customer experience and improve your operational efficiency, this is the right time to shift to cloud telephony services in Hyderabad.

With TeleCMI’s advanced AI solutions, you can easily transform customer interactions, increase productivity, and create a strong brand reputation.

Cloud Telephony — Backbone of Modern-Day Business Communication in Hyderabad

Hyderabad is witnessing a massive boom in startups, SMEs, and tech-driven enterprises. To stay ahead in the competitive market, businesses have already started adopting cloud telephony software in Hyderabad to simplify communication.

Unlike the traditional PBX systems, cloud-based telephony services eliminate the need for expensive infrastructure. Calls, messages, and data are re-directed via internet, assuring a more scalable, flexible, and cost-effective approach to business communication.

Whether you are an e-commerce platform, a customer support center, a healthcare provider, or any other industry, cloud telephony helps manage high call volumes, automate the workflows, track agent performance, and provide exceptional service — everything from a single dashboard.

Key Benefits of Cloud Telephony for Businesses in Hyderabad

Cloud telephony comes with powerful communication features that help businesses simplify communications. Given below are some of the benefits & features of cloud telephony services:

Quick and easy implementation

Implementing cloud telephony requires no on-site infrastructure. You can get started within a day. There is no waiting for a technician, no installation of phone lines, no more delays! The cloud telephony service provider takes care of everything.

Cost-Effective

With cloud telephony, you can save up-to 65% of your traditional phone bill. Cloud Telephony providers in Hyderabad like TeleCMI saves your business from maintenance contracts, limited calling facilities, restrictive local and toll-free phone numbers, and paying out for a separate business SMS service.

Powerful Calling Features

Cloud telephony comes with advanced calling features that enable businesses to operate efficiently and focus on the right tasks at the right time. The agents can avoid manual, repetitive tasks and step up the collaboration and customer support process.

Here are some of the most useful call management features of cloud telephony:

Auto-attendant

Call forwarding

IVR

Virtual Numbers & Call Masking

Sticky Agent & AI Call Routing

SDK & API

Advanced Voicemail

Call Analytics and Reports

Increased mobility & flexibility

Businesses are rapidly shifting to remote working options! And cloud telephony services is the perfect answer to this trend. Employees can access their business phone lines wherever they are. They can even access their voicemail and set up call routing.

Cloud telephony is the perfect solution for businesses embracing remote work or having multiple office locations.

Streamlined Work with Integrated Communications

Cloud communications help users store and access every information in one single platform. When you use different systems for your calls and meetings, all your notes and important details get uploaded in too many places.

In a centralized system, all of your data is stored in one place, enabling easy access from anywhere. Leading cloud Telephony solution providers in Hyderabad, like TeleCMI, offers more than just the centralized system. With TeleCMI, you’ll streamline your workflow, enhance productivity, and gain valuable insights all while reducing operational costs.

Boost 40% Productivity with TeleCMI’s Cloud Telephony

TeleCMI proves to be the best cloud hosted telephony service provider by offering customizable, AI-driven communication services. With TeleCMI’s hosted telephony service, businesses have seen a 40% increase in their productivity, and here’s how:

Sticky Agent Feature: Makes sure the customers are connected directly to the previous agent they had a conversation with, fostering personalized customer relationships.

Auto Call Distribution: Routes incoming calls to the right agent without keeping customers waiting.

Missed Call Services: Track and act on every missed call automatically.

Call Masking: Protects customers and agent’s privacy by hiding their real numbers.

Real-Time Analytics: Track agent productivity, call performance, and customer satisfaction with the help of detailed AI reports.

With a user-friendly dashboard and easy integration options, TeleCMI enables businesses to focus more on the growth and productivity, instead of managing outdated communication systems.

Quick TeleCMI Cloud Telephony Setup

Setting up TeleCMI’s cloud telephony solution is easy and quick.

Step 1:

Sign Up

Register your account on the TeleCMI website.

Step 2:

Choose a Virtual Number

Select a virtual phone number that suits your business needs, whether local, toll-free, or international.

Step 3:

Select a Plan

Pick a plan that aligns with your business communication requirements.

Step 4:

Configure Settings and Integrate with CRM

Customize your cloud telephony system, set up IVR menus and call routing, and integrate with your preferred CRM. TeleCMI offers integration with 150+ CRM tools.

Step 5:

Ready to Go Live

Get started with managing calls, monitoring team’s performance, and offering the best customer service.

Conclusion

In today’s competitive market, where customer experience directly affects business success, shifting to a cloud-based telephony is no longer an option, it is a necessity. With TeleCMI’s cloud telephony services in Hyderabad, businesses can simplify communication, increase productivity upto 40%, and provide the best customer service.

So, what are you waiting for? Start delivering flawless customer service with cloud telephony today.

Originally published at Cloud Telephony Service in Hyderabad

[charlotteharrington01]

Excel Shortcut Keys Every Job Seeker Should Know | Your Interview Prep Guide

Spending too much time clicking around Excel menus? You’re not alone. If you're serious about job interview preparation, career growth, or just speeding up your daily workflow, learning Excel shortcut keys can be a total game-changer.

In today’s fast-paced, data-driven world, Microsoft Excel is more than just a spreadsheet app—it’s your personal data assistant. Let’s explore how to supercharge your Excel skills, slash your task time, and even earn certifications like a Diploma in Microsoft Excel without spending a dime.

Why Excel Skills Matter More Than Ever

Excel has come a long way from being a simple table tool. Today, it’s at the core of data management, financial modeling, inventory tracking, project planning, and so much more.

Professionals from fields like finance, logistics, marketing, and healthcare rely on Excel’s capabilities to manage vast datasets, automate tasks, and generate meaningful insights. Thanks to integrations with Microsoft 365 and OneDrive, teams now collaborate on spreadsheets in real time from anywhere in the world.

Learning to master Excel is no longer optional—it’s a must-have skill for modern professionals. And the good news? You can start mastering it through Online Short Courses tailored for beginners and pros alike.

Must-Know Excel Shortcut Keys for Workbook Navigation

Speed up how you move through workbooks with these essential Excel keys:

Action

Shortcut

Create a new workbook - Ctrl + N

Open an existing workbook - Ctrl + O

Save the current workbook - Ctrl + S

Switch between workbooks - Ctrl + Tab

Close a workbook - Ctrl + W

Want to go deeper? Enroll in the Mastering Excel Spreadsheet & Workbook - Formulas And Functions course to explore every shortcut and hidden trick to turbocharge your efficiency.

Excel Shortcut Keys for Fast Formatting

Tired of clicking multiple tabs just to format cells? Use these keys instead:

Action

Shortcut

Bold selected text - Ctrl + B

Italicize - Ctrl + I

Underline - Ctrl + U

Format cells - Ctrl + 1

Center align - Alt + H + A + C

These formatting shortcuts make cleaning up reports and dashboards a breeze.

Advanced Excel Commands to Level Up

Ready to go beyond the basics? Advanced shortcut keys and formulas can help you handle complex tasks effortlessly.

Explore nested formulas, array functions, and custom formatting shortcuts through the Essentials Of MS Excel - Formulas And Functions free course available online. It’s a goldmine for anyone looking to boost their analytical skills.

Pivot Table Shortcuts That Save Time

Pivot Tables are Excel’s power feature—and shortcuts make them even better:

Action

Shortcut

Create a Pivot Table - Alt + N + V

Refresh a Pivot Table - Alt + F5

Group data - Alt + Shift + Right Arrow

Ungroup data - Alt + Shift + Left Arrow

Whether you're analyzing sales data or tracking expenses, these Microsoft Excel shortcut keys for Pivot Tables will cut your time in half.

5 New Excel Functions You Should Be Using

These new functions are transforming how professionals handle data:

GROUPBY Automatically group rows and summarize data—no Pivot Table needed. It’s dynamic and updates as your data changes.

PIVOTBY Think Pivot Table, but with formula power. Summarize data by rows and columns in one clean formula.

PERCENTOF Quickly find what percentage one number is of another. Perfect for reporting KPIs.

BYCOL Apply a formula across entire columns. Ideal for comparing monthly totals or applying statistical functions.

BYROW Like BYCOL, but row-focused. Simplifies row-by-row calculations without repetitive formulas.

Here’s the revised paragraph with the country name removed, while keeping the message intact and flowing naturally:

Excel Learning Opportunities

Excel literacy is becoming increasingly essential, especially as digital transformation reaches more sectors—from banking to agriculture and government.

Whether you’re a university student, a data analyst, or someone preparing for a new job role, online platforms now offer accessible, high-quality online short courses that fit any schedule or budget.

Free resources like the Diploma in Microsoft Excel and Essentials Of MS Excel - Formulas And Functions free course offer learners a flexible way to build critical tech skills. Many institutions and employers are now prioritizing Excel skills in recruitment, making this the perfect time to upskill.

Conclusion: Work Smart with Excel

Mastering Excel isn’t just about shortcuts—it’s about working smarter. From Excel Shortcut Keys and formatting tricks to powerful new functions and free online certifications, there’s never been a better time to improve your skills.

Ready to get serious? Enroll in free courses like Mastering Excel Spreadsheet & Workbook - Formulas And Functions or earn a Diploma in Microsoft Excel to make your resume shine.

Bonus Tips for Excel Beginners

Memorize the basics: Copy (Ctrl + C), Paste (Ctrl + V), and Select All (Ctrl + A) will always come in handy.

Learn once, use everywhere: Many Excel shortcut keys also work in Word and PowerPoint.

Use Excel daily—even for simple things—to build muscle memory.

Bookmark a list of A-Z Excel shortcuts and revisit it regularly.

[miosalonblog]

The Ultimate Salon Tech Stack: 7 Tools Every Growing Spa Needs in 2025

Introduction

Running a successful salon or spa in 2025 is about more than just providing exceptional beauty and wellness services. It’s about leveraging the right technology to streamline your operations, enhance customer experience, and boost revenue. This combination of software tools is known as a Salon Tech Stack, a collection of essential digital tools that work together to manage your business seamlessly.

But with so many options available, how do you choose the right tools for your salon or spa? In this guide, we’ll break down the 7 essential tools that should be part of your tech stack, helping you build a strong digital foundation for your business. And the best part? You don’t have to figure it out alone — we’ll show you how MioSalon, an industry-leading Salon Management Software, can tie all these tools together for a smooth, efficient operation.

Why Your Salon Needs a Tech Stack

A Salon Tech Stack is more than just a collection of software tools. It’s a strategic combination of solutions designed to work together, making it easier to manage appointments, payments, inventory, customer relationships, and more. With the right tech stack, you can:

Save time with automated processes.

Reduce manual errors.

Deliver a superior client experience.

Boost revenue through optimized operations.

The Ultimate Salon Tech Stack: 7 Essential Tools

1. Salon Software — The Central Hub

At the heart of any successful tech stack is a robust Salon Software solution. This software acts as the command center for your business, managing everything from online bookings to staff scheduling and client data.

🌐 Explore MioSalon’s Salon Management Software

Key Features of Salon Software:

24/7 Online Booking: Clients can book appointments anytime, anywhere.

Automated Reminders: Reduce no-shows with SMS and email alerts.

Client Management: Maintain a database with client preferences and history.

Revenue Reporting: Track daily, weekly, and monthly sales.

Why it’s essential: Without Salon Booking Software, managing appointments, client details, and revenue becomes a manual and time-consuming process.

2. Customer Relationship Management (CRM) System

A CRM system helps you keep track of your clients and personalize their experience. From birthdays to favorite services, a CRM system ensures that you know your clients well and can tailor your services accordingly.

How CRM Benefits Your Salon:

Personalized Marketing: Send targeted promotions to clients based on their preferences.

Client Retention: Reward loyal clients with exclusive offers.

Automated Follow-Ups: Send thank-you messages and collect feedback after each appointment.

MioSalon has an inbuilt CRM feature that allows you to manage client profiles effortlessly.

3. Point of Sale (POS) System

Your POS system is where sales happen. But a smart POS is more than just a cash register — it integrates seamlessly with your Salon Management Software, providing a smooth checkout experience.

Features of an Effective POS System:

Secure Payments: Accept credit cards, digital wallets, and UPI payments.

Product Sales Tracking: Monitor retail product sales alongside services.

Sales Reporting: View daily, weekly, and monthly sales data.

With MioSalon’s integrated POS, you can manage both service and product sales from a single platform.

4. Inventory Management System

Stocking the right products is critical for your salon’s profitability. An Inventory Management System helps you monitor stock levels, track product usage, and avoid overstocking or running out of essential items.

Key Benefits of an Inventory Management System:

Automatic Stock Alerts: Get notifications when stock is low.

Usage Tracking: Know which products are used the most.

Cost Control: Optimize stock purchases to reduce waste.

MioSalon’s Salon Management Software includes a smart inventory management module, making stock management effortless.

5. Loyalty Programs and Rewards System

Loyal customers are the backbone of any successful salon. With a Loyalty Program, you can reward repeat clients and encourage them to visit more frequently.

How Loyalty Programs Work:

Points System: Clients earn points for each service or product purchase.

Tiered Rewards: Offer exclusive benefits for your most loyal clients.

Birthday Discounts: Make clients feel special with personalized offers.

With MioSalon, you can create customizable loyalty programs directly within your Salon Software.

6. Digital Marketing Tools

To grow your salon business, you need to reach new clients and keep existing ones engaged. Digital marketing tools help you achieve this through:

Email Campaigns: Send promotions, newsletters, and booking reminders.

Social Media Management: Promote your services on Instagram, Facebook, and Google.

Google My Business Integration: Attract local clients through search visibility.

MioSalon integrates with your marketing tools, making it easier to automate promotions and keep clients engaged.

7. Staff Management and Payroll System

Efficient staff management is key to running a successful salon. A Staff Management System helps you:

Schedule Staff Shifts: Avoid overbooking and ensure proper staffing.

Track Performance: Monitor staff sales, services, and client feedback.

Automate Payroll: Calculate staff commissions and payouts.

MioSalon’s Salon Software has built-in staff management, so you can handle scheduling, performance tracking, and payroll in one place.

How MioSalon Brings Your Tech Stack Together

MioSalon is not just another Salon Management Software. It’s a complete solution that combines all these tools into one easy-to-use platform. Whether you are running a small beauty salon or a multi-location spa, MioSalon can be customized to suit your needs.

Manage bookings, payments, and client data from a single dashboard.

Set up automated reminders, loyalty programs, and marketing campaigns.

Track inventory, sales, and staff performance effortlessly.

🌐 Discover MioSalon and Build Your Perfect Tech Stack.

Conclusion

In 2025, having a Salon Tech Stack is not just an option — it’s a necessity. From Salon Software that manages your appointments to Inventory Management Systems that keep your stock in check, the right tech stack can transform your business.

But building the perfect tech stack doesn’t have to be complicated. With MioSalon, you get an all-in-one solution that covers all aspects of your salon management, ensuring smooth operations, happier clients, and higher profits.

🚀 Get a Free Demo of MioSalon Today!