#analytics implementation

[truetechreview]

Ultimate Guide to DeepSeek AI for Business Growth

Table of Contents of DeepSeek AI for Business Growth1. Introduction: Why AI is Essential for Modern Business Growth2. What Is DeepSeek AI?3. Top 5 DeepSeek AI Tools for Scaling Businesses3.1 Demand Forecasting Engine3.2 Customer Lifetime Value (CLV) Predictor3.3 Automated Supply Chain Optimizer3.4 Dynamic Pricing Module3.5 Sentiment Analysis Hub4. How DeepSeek AI Reduces Costs and Boosts…

[baesharmi-ki-height]

'elo, I shouldn't be interacting with you but here's a little secret I'm CBSE, and trust me the grass isn't greener on this side...

🫂🫂

[canmom]

anyway shoutout to @coolstuffiseverywhere for leaving a like on every single post in the liveblog and thus putting umineko back in my head! it's always great to get that kind of interaction on here, just a long string of little heart icons telling you that someone is enjoying something you've written x3

[arbitrarygreay]

Watching the early cast interviews was a little heartbreaking. Taylor and Ashley wanted to make Bellcollar an iconic shounen anime duo so badly, and the writers were just. Not interested in doing that. The show was kind of weird about unit unity the whole way through, to be honest. Probably their Prestige inclinations showing though (remember, many of the producers went on to Succession, while Eliot himself preceded Motherland with Claws), so they don't subscribe to the standard genre model of the genre elements reflecting the relationship strengths and weaknesses, nor of the core relationships driving plot competence. (Again, see "iconic shounen anime duos".) So while they make gestures about the unit being better together, that doesn't actually show through in the action. Abigail's strength as a warrior develops through her relationships with Adil and her mother. Raelle's Mycelium powers are developed through her connections to Scylla and her mother. Tally is off getting mired in her harem of war criminal cougars. I really can't get over how making the S1 finale Witchbomb a red herring sours more over time. The entirety of S1's emotional journey culminates in that Bellcollar love confession on the ground, and then it turned out that the whole time Abigail linking with Raelle wasn't even necessary because the Mycelium would have reversed her death anyways. sad trombone noises It's sad! The actresses' chemistry was real, and they relished every little opportunity the writing would give them to play those dynamics, only for those moments to dwindle to just desperate reunion hugs every few episodes. Taylor at the end of After the Storm 1x1: "This is something. She's it. This is it. We're going to go all the way together." The show: Lol. Lmao, even.

[jcmarchi]

AI’s Real Value Is Built on Data and People – Not Just Technology

New Post has been published on https://thedigitalinsider.com/ais-real-value-is-built-on-data-and-people-not-just-technology/

AI’s Real Value Is Built on Data and People – Not Just Technology

The promise of AI expands daily – from driving individual productivity gains to enabling organizations to uncover powerful new business insights through data. While the potential of AI appears limitless and its impact easy to imagine, the journey to a truly AI-powered ecosystem is both complex and challenging. This journey doesn’t begin and end with implementing, adopting or even consistently using AI – it ends there. Realizing the full value of an AI solution ultimately depends on the quality of the data and the people who implement, manage and apply it to drive meaningful results.

Data: The Cornerstone of AI Success

Data, the organizational constant. Whether it’s a Mom-and-Pop convenience store or an enterprise organization, every business runs on data (financial records, inventory, security footage  etc.) The   management, accessibility and governance of this data is the cornerstone to realizing AI’s full  potential  within an organization. Gartner recently noted that 63% of organizations either lack confidence or are unsure about if their existing data practice or management structure is sufficient for successful adoption of AI. Enabling an organization to unlock  the full potential of AI requires a well thought out Data Practice. From collection, storage, synthesis, analysis, security, privacy, governance, and access control – a framework and methodology must be in place to leverage AI properly.  Additionally, it is essential to mitigate the risks and unintended consequences. Bottom line, data is the cornerstone of analytics and the fuel for your AI.

The access your AI solution has to your data determines its potential to deliver – so much so, we’re seeing the emergence of new functions tailored specifically to it, the Chief Data Officer (CDO). Simply put, if an AI solution is introduced to an environment with “free-floating” data accessible to anyone – it will be error-prone, biased, non-compliant, and very likely to expose sensitive and private information. Conversely, when  the data environment is rich, structured, accurate, within a framework and methodology for how the organization uses its data – AI can return immediate benefits and save numerous hours on modeling, forecasting, and propensity development. Built around the data cornerstone are access rights and governance policies for data, which present its own concern – the human element.

People: The Underrated Factor in AI Adoption

IDC recently shared that 45% of CEOs and over 66% of CIOs surveyed conveyed a hesitancy around technology vendors not completely understanding the downside risk potential of AI. These leaders are justified in their caution. Arguably, the consequences of age-old IT risks remain similar with governed AI (i.e., downtime, operational seizures, costly cyber-insurance premiums, compliance fines, customer experience, data-breaches, ransomware, and more.) and are amplified by the integration of AI into IT. The concern comes from the lack of understanding around the root-causes for those consequences or for those that are not aware, the angst that comes with associate AI enablement serving as the catalyst for those consequences.

The pressing question is, “Should I invest in this costly IT tool that can vastly improve my business’s performance at every functional level at the risk of IT implosion due to lack of employee readiness and enablement?” Dramatic? Absolutely – business risk always is, and we already know the answer to that question. With more complex technologies and elevated operational potential, so too must the effort to enable teams to use these tools legally, properly, efficiently, and effectively.

The Vendor Challenge

The lack of confidence in technology vendors’ understanding goes beyond subject matter expertise and reflects a deeper issue: the inability to clearly articulate the specific risks that an organization can and will face with improper implementations and unrealistic expectations.

The relationship between an organization and technology vendors is much like that of a patient and a healthcare practitioner. The patient consults a healthcare practitioner with symptoms seeking a diagnosis and hoping for a simple and cost-effective remedy. In preventative situations, the healthcare practitioner will work with the patient on dietary recommendations, lifestyle choices, and specialized treatment to achieve specified health goals. Similarly, there’s an expectation that organizations will receive prescriptive solutions from technology vendors to solve or plan for technology implementations. However, when organizations are unable to provide prescriptive risks specific to given IT environments, it exacerbates the uncertainty of AI implementation.

Even when IT vendors effectively communicate the risks and potential impacts of AI, many organizations are deterred by the true total cost of ownership (TCO) involved in laying the necessary foundation. There’s a growing awareness that successful AI implementation must begin within the existing environment – and only when that environment is modernized can organizations truly unlock the value of AI integration. It’s similar to assuming that anyone can jump into the cockpit of an F1 supercar and instantly win races. Any reasonable person knows that success in racing is the result of both a skilled driver and a high-performance machine. Likewise, the benefits of AI can only be realized when an organization is properly prepared, trained, and equipped to adopt and implement it.

Case in Point: Microsoft 365 Copilot

Microsoft 365 Copilot is a great example of an existing AI solution whose potential impact and value have often been misunderstood or diluted due to customers’ misaligned expectations – in how AI should be implemented and what they believe it should do, rather than understanding what it can do. Today, more than 70% of Fortune 500 companies are already leveraging Microsoft 365 Copilot. However, the widespread fear that AI will replace jobs is largely a misconception when it comes to most real-world AI applications. While job displacement has occurred in some areas – such as fully automated “dark warehouses” – it’s important to distinguish between AI as a whole and its use in robotics. The latter has had a more direct impact on job replacement.

In the context of Modern Work, AI’s primary value lies in enhancing performance and amplifying expertise – not replacing it. By saving time and increasing functional output, AI enables more agile go-to-market strategies and faster value delivery. However, these benefits rely on critical enablers:

A mature Data Practice

Strong Access Management and Governance

Robust Security measures to mitigate risks

People enablement around responsible AI use and best practices

Here are a few examples of AI-driven functional improvements across business areas:

Sales Leaders can generate propensity models using customer lifecycle data to drive cross-sell and upsell strategies, improving customer retention and value.

Corporate Strategy & FP&A Teams gain deeper insights thanks to time saved analyzing business units, enabling better alignment with corporate goals.

Accounts Receivable Teams can manage payment cycles more efficiently with faster access to actionable data, improving outreach and customer engagement.

Marketing Leaders can build more effective, sales-aligned go-to-market strategies by leveraging AI insights on sales performance and opportunities.

Operations Teams can reduce time spent reconciling Finance and Sales data, minimizing chaos during end-of-quarter or end-of-year processes.

Customer Success & Support Teams can cut down response and resolution times by automating workflows and simplifying key steps.

These examples only scratch the surface of AI’s potential to drive functional transformation and productivity gains. Yet, realizing these benefits requires the right foundation – systems that allow AI to integrate, synthesize, analyze, and ultimately deliver on its promise.

Final Thought: No Plug-and-Play for AI

Implementing AI to unlock its full potential isn’t as simple as installing a program or application. It’s the integration of an interconnected web of autonomous functions that permeate your entire IT stack – delivering insights and operational efficiencies that would otherwise require significant manual effort, time and resources.

Realizing the value of an AI solution is grounded in building a data practice, maintaining a robust access and governance framework, and securing the ecosystem – a topic that requires its own deep dive.

The ability for technology vendors to a valued partner will be dependent on both marketing and enablement, focused on debunking myths and calibrating expectations on what harnessing the potential of AI truly means.

[webtualglobal]

The data management and analysis capabilities of your organization can be greatly enhanced by incorporating Power BI into your business processes. Power BI enables businesses to make smarter, faster decisions by offering powerful data visualization and real-time analytics. However, successfully implementing Power BI requires a strategic approach that covers everything from choosing the right developers to deploying dashboards and utilizing its services. The initial step in Power BI implementation is hiring developers skilled in creating solutions customized to your company's needs. These developers are responsible for setting up the technical framework, designing Power BI dashboards, and ensuring seamless integration with your data sources. A well-organized dashboard can transform complex data into easy-to-read visuals, giving decision-makers a clear view of business performance and trends. Once your dashboards run, the next focus is utilizing Power BI services. These services allow you to share reports across teams and collaborate effectively and securely. With Power BI's cloud-based capabilities, employees at all levels can access up-to-date insights, regardless of location, ensuring that everyone in the organization is on the same page when making crucial business decisions. A successful implementation also requires a clear understanding of your company's data needs and workflows. Identifying relevant data sources and ensuring they're correctly connected to Power BI is critical for providing accurate and actionable insights. Additionally, it's essential to train employees using the platform to get the most out of the tool. Empowering your team with the skills to use Power BI effectively ensures better adoption and more significant business value. Adopting Power BI in your enterprise offers many opportunities for more informed decision-making. Businesses can gain deeper insights into performance and trends by working with skilled Power BI developers, creating meaningful Power BI dashboards, and utilizing Power BI services to enhance collaboration.In addition to supporting a data-driven culture that promotes growth and maintains an organization's competitiveness, Power BI streamlines data analysis.

[reformedtech]

Choosing the Best ERP Software in Bangladesh: A Complete Guide

Selecting the best ERP software in Bangladesh is essential for businesses aiming to enhance productivity and streamline operations. Whether you require a custom ERP software tailored to your unique needs or a pre-built ERP solution, making the right choice can drive efficiency and growth.

Why Your Business Needs an ERP Solution

An ERP system integrates core business functions such as finance, inventory, HR, and sales into a single, efficient platform. The right ERP solution helps businesses: ✅ Automate repetitive tasks and improve workflow efficiency. ✅ Gain real-time insights for smarter decision-making. ✅ Reduce operational costs and increase profitability.

Best ERP Software for Small Businesses

For small and medium-sized businesses, selecting the best ERP software for small business is crucial. The ideal ERP should be: 🔹 Budget-friendly and easy to implement. 🔹 Customizable to match specific business requirements. 🔹 Cloud-based for enhanced accessibility and remote management.

Finding the Right ERP Provider in Bangladesh

Choosing a trusted software company in Bangladesh ensures you get a robust ERP system that meets your business goals. Look for a software development company in Bangladesh that offers: ✔ Industry-specific ERP customization. ✔ Reliable technical support and regular system updates. ✔ Scalable solutions that grow with your business.

Final Thoughts

Collaborating with the best software company in Bangladesh guarantees an ERP system that optimizes operations and drives success. What features do you look for in an ERP solution? Share your thoughts! 🚀

[websyn]

Streamline Your Workflow with Microsoft 365 Suite Deployment Services in 2025

In today’s fast-paced business environment, achieving efficiency and seamless collaboration is critical to staying ahead. The Microsoft 365 Suite offers a comprehensive range of tools designed to streamline workflows, enhance productivity, and foster better communication. However, to unlock its full potential, businesses need tailored deployment services that align with their specific goals and operational requirements.

Why Microsoft 365 Suite is Essential in 2025

Unified Communication and Collaboration Microsoft Teams, SharePoint, and Outlook provide integrated platforms that support real-time communication, file sharing, and collaboration across teams—whether they’re in the same office or dispersed globally.

Enhanced Productivity with AI and Automation Tools like Microsoft Viva and Power Automate bring AI-driven insights and automation capabilities, enabling businesses to reduce manual tasks and focus on strategic initiatives.

Scalable and Secure Solutions With advanced security features and compliance tools, Microsoft 365 ensures businesses can scale their operations confidently while safeguarding sensitive data.

Flexibility for Hybrid Work Models The suite’s cloud-based architecture empowers employees to work from anywhere, ensuring a seamless transition between remote and on-site operations.

The Importance of Professional Deployment Services

While Microsoft 365 offers robust features, implementing it effectively can be challenging without expert guidance. Professional deployment services are crucial for:

Customised Solutions: Tailoring the suite’s features to your business’s unique needs ensures maximum ROI.

Efficient Migration: Migrating data from legacy systems with minimal disruption requires technical expertise.

Training and Support: Ensuring your teams are equipped to leverage the suite effectively enhances adoption rates.

Ongoing Optimisation: Regular assessments and updates keep your systems aligned with evolving business objectives.

Addressing Modern Business Challenges

Reducing Silos By integrating tools like Teams, OneDrive, and Planner, organisations can eliminate data silos and promote cross-departmental collaboration.

Improving Decision-Making Power BI within Microsoft 365 provides actionable insights through real-time analytics, enabling leaders to make informed decisions swiftly.

Boosting Employee Engagement Features like Viva Insights prioritise employee well-being and productivity, helping organisations retain top talent.

Key Considerations for Microsoft 365 Deployment

Assess Your Business Needs: Understand your current challenges and how Microsoft 365 can address them.

Plan for Change Management: Foster a culture of adaptability to ensure smooth adoption.

Focus on Security: Leverage tools like Microsoft Defender to mitigate cybersecurity risks.

Partner with Experts: Collaborate with experienced providers to ensure a seamless deployment process.

Conclusion

Microsoft 365 Suite is not just a productivity tool; it’s a strategic asset for driving innovation and efficiency in 2025. By partnering with a trusted deployment service provider, businesses can ensure a smooth transition, empowering their teams to achieve more while staying agile in a competitive landscape.

Ready to revolutionise your workflow? Explore how Microsoft 365 Suite deployment can transform your business today.

[maryoma00]

Customer Service Relationship Management

Introduction to Customer Service Relationship Management

What is Customer Service Relationship Management (CSRM)?

Customer Service Relationship Management (CSRM) refers to the systematic approach of managing customer interactions and enhancing service delivery to build long-term, meaningful relationships. It focuses on addressing customer needs, resolving issues efficiently, and ensuring satisfaction through a blend of technology and human effort.

While traditional CRM systems emphasize sales and marketing, CSRM zeroes in on customer support and service processes to create a seamless experience.

Why is CSRM Important for Businesses?

Enhancing Customer Loyalty Effective CSRM fosters trust and loyalty by ensuring customers feel valued and heard. Loyal customers are more likely to advocate for the brand and provide repeat business.

Improving Operational Efficiency Centralized systems and streamlined workflows reduce redundancies, enabling quicker issue resolution and better service quality.

Gaining a Competitive Advantage In today’s customer-centric market, excellent service is a key differentiator. Businesses that prioritize CSRM stand out by delivering superior customer experiences.

Core Elements of Customer Service Relationship Management

Centralized Customer Data

Consolidating Information CSRM systems centralize customer data, making it easily accessible for service teams. This includes purchase history, preferences, and previous interactions.

Leveraging Data for Personalization Using this data, businesses can offer tailored solutions, making customers feel understood and valued.

Proactive Customer Support

Anticipating Customer Needs Proactive support involves identifying potential issues before they arise, like sending reminders about product updates or addressing frequently encountered problems.

Implementing Predictive Analytics Predictive analytics tools can analyze trends and customer behavior, helping teams forecast needs and provide preemptive solutions.

Integration with CRM Systems

Synchronizing Customer Interaction Data Integrating CSRM with existing CRM systems ensures a seamless flow of information across departments, improving customer interactions.

Cross-Functional Collaboration When sales, marketing, and support teams share insights, they can collaborate more effectively to meet customer needs holistically.

Benefits of Customer Service Relationship Management

Strengthened Customer Relationships Tailored interactions and a personalized approach foster trust and encourage long-term loyalty.

Enhanced Customer Satisfaction Quick and effective resolution of queries, along with self-service options, improves overall satisfaction.

Optimized Team Productivity By automating repetitive tasks and centralizing data, service teams can focus on complex issues, boosting efficiency.

Steps to Implement a CSRM Strategy

Assessing Customer Service Needs

Identifying Pain Points Conducting surveys and analyzing feedback helps identify recurring issues and areas for improvement.

Understanding Customer Preferences Determine the preferred channels and communication styles of your customers to tailor the strategy accordingly.

Selecting the Right Tools

Features to Look For Look for tools offering ticketing systems, analytics, AI capabilities, and omnichannel support.

Popular CSRM Platforms Platforms like Zendesk, Salesforce Service Cloud, and Freshdesk cater to businesses of various sizes and industries.

[webtualglobal]

To remain competitive and make wise decisions in the current financial climate, organizations need to have accurate forecasting. With the help of modern tools like Copilot and Power BI, companies can significantly improve their financial forecasting processes. These tools combine advanced artificial intelligence (AI) and data visualization to help financial professionals make more intelligent predictions and gain deeper insights into their financial health. Copilot, an AI-powered assistant, integrates seamlessly with Microsoft 365 tools, empowering finance teams with automated workflows and enhanced data analysis capabilities. By leveraging machine learning algorithms, Copilot analyzes historical financial data to identify trends, forecast future outcomes, and automate repetitive tasks. This not only reduces human error but also frees up valuable time for finance professionals, allowing them to focus on strategic decisions. Copilot's predictive capabilities enable finance teams to anticipate market fluctuations, optimize budgeting, and make more accurate projections. Power BI, Microsoft's powerful data visualization tool, plays a key role in turning raw financial data into actionable insights. Power BI allows businesses to create dynamic dashboards and detailed reports, presenting monetary data in an easily digestible format. By integrating various data sources such as sales, expenses, and market trends Power BI provides a comprehensive view of a company's financial position. This helps financial teams spot emerging trends, understand correlations, and evaluate potential risks, all of which are essential for making precise financial predictions. When combined, Copilot and Power BI offer a powerful solution for optimizing financial predictions. Copilot's AI-driven analysis enhances Power BI's visual capabilities, allowing businesses to make data backed, informed decisions. Whether it's predicting cash flow, analyzing profitability, or preparing for market shifts, these tools provide financial teams with the insights they need to navigate complex financial positions confidently. In conclusion, leveraging Copilot and Power BI together enables companies to streamline their financial processes, reduce risks, and drive more accurate predictions. By embracing these advanced technologies, businesses can enhance their financial forecasting, making it more reliable and strategically valuable.

[jaysonmurphyitservice]

Jayson Murphy IT service

Website: http://jaysonmurphyitservicer.com/

Address: 609 New York Ave, Brooklyn, NY 11203, USA

Phone: 917-577-3337

Jayson Murphy IT Service is a comprehensive provider of managed IT solutions tailored to meet the unique needs of businesses. With a focus on enhancing operational efficiency and ensuring robust cybersecurity, we offer a range of services including network management, cloud solutions, data backup, and IT consulting. Our team of experienced professionals is dedicated to delivering reliable support and innovative technology strategies that empower organizations to thrive in a digital landscape. At Jayson Murphy IT Service, we prioritize customer satisfaction and work closely with our clients to develop customized solutions that drive growth and success.

Business Email: jmitservice@gmail.com

Facebook: https://facebook.com/abdulmanufacturerlimited

Twitter: https://twitter.com/abdulmanufacturerlimited

Instagram: https://instagram.com/abdulmanufacturerlimited

TikTok: https://tiktok.com/@abdulmanufacturerl

[intelisync]

Overcoming the 60% Struggle with ML Adoption: Key Insights

In the race to stay competitive, companies are turning to machine learning (ML) to unlock new levels of efficiency and innovation. But what does it take to successfully adopt ML?

Machine learning (ML) is a transformative technology offering personalized customer experiences, predictive analytics, operational efficiency, fraud detection, and enhanced decision-making. Despite its potential, many companies struggle with ML adoption due to data quality challenges, a lack of skilled talent, high costs, and resistance to change.

Effective ML implementation requires robust data management practices, investment in training, and a culture that embraces innovation. Intelisync provides comprehensive ML services, including strategy development, model building, deployment, and integration, helping companies overcome these hurdles and leverage ML for success.

Overcoming data quality and availability challenges is crucial for building effective ML models. Implementing robust data management practices, including data cleaning and governance, ensures consistency and accuracy, leading to reliable ML models and better decision-making. Addressing the talent gap through training programs and partnerships with experts like Intelisync can accelerate ML project implementation. Intelisync’s end-to-end ML solutions help businesses navigate the complexities of ML adoption, ensuring seamless integration with existing systems and maximizing efficiency. Fostering a culture of innovation and providing clear communication and leadership support are vital to overcoming resistance and promoting successful ML adoption.

Successful ML adoption involves careful planning, strategic execution, and continuous improvement. Companies must perform detailed cost-benefit analyses, start with manageable pilot projects, and regularly review and optimize their AI processes. Leadership support and clear communication are crucial to fostering a culture that values technological advancement. With Intelisync’s expert guidance, businesses can bridge the talent gap, ensure smooth integration, and unlock the full potential of machine learning for their growth and success. Transform your business with Intelisync’s comprehensive ML services and stay ahead in the competitive Learn more....