#iot integration with salesforce

[cyberswift-story]

Leveraging AI in Salesforce Development

Artificial Intelligence (AI) is revolutionizing Salesforce development by infusing intelligence into traditional CRM processes. AI allows Salesforce to evolve from a static data management platform into a dynamic, insight-driven system that can predict, recommend, and automate key functions. With AI, Salesforce development is now more about building solutions that are not just reactive but proactive.

Know more at: https://www.cyberswift.com/blog/leveraging-ai-in-salesforce-development/

[cloudifyaps]

Top 10 CRMs in 2023: The Best for Your Business

Are you a business owner or an entrepreneur looking forward to getting the right CRM for your business?

Finding the right CRM software or customer relationship management tool, can be difficult, especially given the fact that there are way too many options available these days.

Discover with us the best CRM system (customer relationship management) software for managing your leads and marketing automation. Choosing the right CRM is very vital for your business in order to build customer relations and maximise sales.

To help you with the same, here we have curated a list of the best CRMs in 2023.

This list should give you the advice you need to make an informed decision and have a quick sneak peek into some of the highest-rated CRMs by users and choose the best for your business.

Let’s get started.

The Sales CRM — Pipedrive

Key features:

Managing leads: You can track leads and sales from the forms or live chat bots.

Visible sales pipeline: Create custom stages by team members.

Communication tracking: You can track all the contact activities like calls, emails, chats, and more.

Mobile apps: You can Pipedrive from your mobile device and integrate your smartphone.

What you will like about Pipedrive:

You can add deals, win probabilities and close dates.

Create custom reports that can track revenue estimates.

Unlimited custom fields can be collected.

You can generate lead source data reports for performance tips.

Dislikes:

You need more filter options for further deep diving.

Product updates

No native dark mode

Best enterprise CRM software — Salesforce

What you will like about Salesforce:

Customisable API

Multi-language support

Multi-currency support

Enterprise territory sales management

24/7 customer support

Personalised automation

Wide range of email templates

In-built Einstein lead scoring

Lead management with Salesforce tools

Compatible with Windows, Linux, Mac and Android.

Large number of third-party integrations

Mass email options

Dislikes:

If you want on-premise deployment, this is not for you

Live chat support

CRM with Marketing tools — HubSpot

Key features:

Lead nurturing: Send personalised emails to clients and build analytics reports.

Contact management: You can organise and sync your contacts at one place by syncing emails to the CRM system.

Multiple app integrations: HubSpot lets you connect with other SaaS apps as well as with your existing tech stack.

Live chat: You can help your customers faster with online tickets with instant chat capabilities.

Sales pipeline data: You can view the entire sales pipelines with sales activity insights and individual performance.

What you will like about Hubspot:

Free plan that can be upgraded anytime

Ad management tools for tracking ROIs

Team email and conversation email

Free email marketing

Integration with sales and marketing suites

Great form builder to capture lead information

Dislikes:

There are a whole lot of features offered by HubSpot so it can be difficult to choose from.

Best basic CRM — Freshsales

Key features:

Freshsales helps improve customer engagement and drives leads to closures with AI.

The most interesting feature of Freshsales is the AI assistant Freddy that it brings along. Freddy helps you smartly analyze the sales pipeline and lets you focus more on deals that will actually drive revenue.

What you will like about Freshsales CRM:

Customisation options

AI assistance

Multiple third party integrations

Dislikes:

Free plans do not offer any reports

Best customisation CRM — Sugar CRM

Key features:

The Sugar CRM allows various teams to collaborate across the entire customer lifecycle and help deliver more meaningful, memorable experiences at every stage of the customer journey.

Use the Sugar CRM along with Sugar Market, Sugar Serve and Sugar Sell to take the business to the next level.

Sugar has different products for small businesses and enterprise clients so as to cater to both of them better.

Sugar Professional helps create customer relationships that last a lifetime with all that you require to stay organised in a single, powerful platform.

What you will like about Sugar CRM:

Easily integrable with your favourite SaaS applications

AI powered data analysis

Dislikes:

Expensive

Complex to learn

A startup CRM — Zoho CRM

Key features:

Zoho offers customised solutions based on industry type.

The CRM allows you to hold presentations and meetings from within your CRM. This is one of the features that people usually love.

You may organise webinars, convert attendees to leads, and get webinar reports, all without moving out of your CRM.

What you will like about Zoho CRM:

It has a streamlined user interface

No contracts are involved

It also offers a free plan

Dislikes:

Support available in Enterprise and Premium plans that are paid

Third party integrations not available in free plan

A sales engagement CRM — Agile CRM

Agile CRM claims to allow you to sell and market like Fortune 500 companies.

Quite an impressive claim, right?

Key features:

This all-in-one CRM is affordable and calls itself the next generation CRM.

Your sales team can use the CRM to easily manage leads, deals, appointments and a lot more.

The marketing team can use it for email marketing, tracking, creating landing pages, and even social media marketing.

You can easily integrate it with Twitter, Facebook, all the Google Applications, Twilio, RingCentral, and LinkedIn.

What you will like about Agile CRM:

Free upto 10 users

Free trials available

Dislikes:

You cannot view complete numbers of the contacts

The email template building tool is not that flexible

Best integration — Zendesk CRM

Zendesk initially focused on developing help desk software but over time expanded its offerings to include customer relationship management (CRM) tools. Its integration with Zendesk for Service is particularly strong, and its feature set caters more towards help desks compared to other CRMs we assessed. However, it still provides a wide range of features that make it suitable as a general-purpose CRM for any type of organisation.

Key features:

By using Zendesk Support, you can streamline your client interactions and create a more productive workflow, as it gathers all of these interactions in a single place.

Getting started with Zendesk products is a breeze, and you’ll find that many of the essential features you require will work straight out of the box.

What you will like about Zendesk CRM:

Help desk of Zendesk offers excellent integrations

Easy onboarding

Dislikes:

Not that affordable

Email template is very basic

For small businesses — Apptivo CRM

Apptivo CRM is a platform that is cost-effective and can be personalised to suit your requirements. It aims to provide a comprehensive solution to meet all of your business software needs.

Key features:

Besides the necessary features of CRM, it offers additional functionalities for activities like bookkeeping, generating invoices, and managing projects. The user interface is straightforward, and it provides compatibility with Android and iOS mobile devices.

What you will like about Apptivo CRM:

Customisation is available

24 h support

Dislikes:

Extended APIs not there

Performance can be sluggish

For growth stage businesses — Insightly CRM

The CRM software from Insightly provides excellent value for its price. Our evaluation found that it is one of the most user-friendly systems available, although it may not offer as many features as some other options. The process of importing data into Insightly is seamless.

Key features:

The reporting engine incorporated in Insightly is powered by AI technology and allows for easy exporting of data to Microsoft Power BI with just one button.

The user interface is simple to use, even though it may not be very attractive from a visual standpoint.

What you will like about Insightly CRM:

Smooth data input

Customisation option is available

Easy integration with other marketing apps as well as the Insightly helpdesk

Dislikes:

Expensive

Lacks advanced features

Thus, this was a list of top eleven CRMs in 2023 that you must check out.

However, here it is also important to know that a CRM is as useful as you make it to be. You may have the best CRM in the world, but if your sales team is not making the best use of it, then it won’t fetch you results.

It’s extremely crucial that you make sure that your team is educated on how to make the best use of your CRM. We suggest that you reach out to a professional CRM consultant for the same. Not only can they set up the CRM for you, but also train and teach your team as to how to use a particular CRM.

We hope this list comes in handy to select the best CRM for your business. However, if you still have any doubts, you can always book a free consultation session with a CRM expert. A CRM expert will analyse your business and processes and suggest as to which CRM will best fit in the realities of your business.

Book a free consultation now

[ourjobagency]

Top 7 Trends in Salesforce to Watch in 2023

Salesforce has been a trailblazer in the world of customer relationship management (CRM) software for years, helping businesses connect with customers, streamline processes, and drive growth. As we step into 2023, the platform continues to evolve, introducing new features and capabilities to meet the ever-changing demands of businesses and consumers alike. In this blog, we'll explore the top seven trends in Salesforce that are shaping the CRM landscape in 2023 and beyond.

AI-Driven Personalization:

Artificial intelligence (AI) is revolutionizing the way businesses engage with their customers, and Salesforce is no exception. In 2023, expect to see AI-driven personalization take center stage, allowing companies to tailor customer interactions based on their preferences, behavior, and historical data. This will not only enhance customer satisfaction but also boost conversion rates and drive customer loyalty.

Integration of IoT and Salesforce:

The Internet of Things (IoT) is reshaping various industries, and Salesforce is embracing this trend by integrating IoT data into its CRM platform. This integration will enable businesses to gather real-time insights from connected devices, optimize operations, and provide proactive customer support. Expect to see IoT-enabled Salesforce solutions gaining traction across industries such as manufacturing, healthcare, and retail.

Blockchain for Secure Data Management:

Data security and privacy are paramount concerns for businesses and consumers alike. In 2023, Salesforce is likely to incorporate blockchain technology to enhance data integrity and security. Blockchain can provide a tamper-proof, decentralized data storage mechanism, ensuring sensitive customer information remains safe from cyber threats and unauthorized access.

Hyper-Personalization with Customer Data Platforms (CDPs):

Customer Data Platforms (CDPs) are becoming increasingly popular as they consolidate customer data from various sources into a unified profile. Salesforce is expected to leverage CDPs to achieve hyper-personalization in 2023. By understanding customer behavior across channels, businesses can deliver highly targeted and relevant marketing campaigns, fostering deeper customer connections.

Low-Code/No-Code Development:

In 2023, we will witness an acceleration in low-code/no-code development on the Salesforce platform. These user-friendly tools enable businesses to build custom applications and automate processes without extensive coding knowledge. This democratization of development will empower organizations to innovate and respond quickly to changing market demands.

Extended Reality (XR) for Enhanced Customer Experiences:

Extended Reality (XR), which includes Virtual Reality (VR) and Augmented Reality (AR), is gaining traction in the CRM space. Salesforce is likely to integrate XR capabilities to offer unique and immersive customer experiences. From virtual product demonstrations to AR-powered customer support, XR will redefine how businesses engage with their audiences.

Voice Technology Integration:

As voice-activated devices become increasingly popular, Salesforce is expected to integrate voice technology into its CRM platform. This integration will simplify user interactions, making it easier for sales representatives to access information on-the-go, analyze data through voice commands, and improve overall productivity.

Conclusion:

Salesforce continues to be at the forefront of CRM innovation, and 2023 promises to be an exciting year with these emerging trends. AI-driven personalization, IoT integration, blockchain-enabled security, and hyper-personalization through CDPs are all set to revolutionize customer engagement. Furthermore, low-code/no-code development, XR integration, and voice technology will shape the future of the Salesforce platform, making it more accessible, immersive, and efficient for businesses worldwide.

As these trends continue to evolve, businesses must stay agile and adapt their strategies to leverage the full potential of Salesforce and gain a competitive edge in the dynamic world of CRM. Embracing these trends will not only enhance customer experiences but also drive revenue growth and long-term success.

[arzelace]

5 Trends in ICT

Exploring the 5 ICT Trends Shaping the Future The Information and Communication Technology (ICT) landscape is evolving at a rapid pace, driven by advancements that are transforming how we live, work, and interact. Here are five key trends in ICT that are making a significant impact:

1. Convergence of Technologies

Technologies are merging into integrated systems, like smart devices that combine communication, media, and internet functions into one seamless tool. This trend enhances user experience and drives innovation across various sectors

Convergence technologies merge different systems, like smartphones combining communication and computing, smart homes using IoT, telemedicine linking healthcare with telecom, AR headsets overlaying digital on reality, and electric vehicles integrating AI and renewable energy.

2. Social Media

Social media platforms are central to modern communication and marketing, offering real-time interaction and advanced engagement tools. New features and analytics are making these platforms more powerful for personal and business use.

Social media examples linked to ICT trends include Facebook with cloud computing, TikTok using AI for personalized content, Instagram focusing on mobile technology, LinkedIn applying big data analytics, and YouTube leading in video streaming.

3. Mobile Technologies

Mobile technology is advancing with faster 5G networks and more sophisticated devices, transforming how we use smartphones and tablets. These improvements enable new applications and services, enhancing connectivity and user experiences.

Mobile technologies tied to ICT trends include 5G for high-speed connectivity, mobile payment apps in fintech, wearables linked to IoT, AR apps like Pokémon GO, and mobile cloud storage services like Google Drive.

4. Assistive Media

Assistive media technologies improve accessibility for people with disabilities, including tools like screen readers and voice recognition software. These innovations ensure that digital environments are navigable for everyone, promoting inclusivity.

Assistive media examples linked to ICT trends include screen readers for accessibility, AI-driven voice assistants, speech-to-text software using NLP, eye-tracking devices for HCI, and closed captioning on video platforms for digital media accessibility.

5. Cloud Computing

Cloud computing allows for scalable and flexible data storage and application hosting on remote servers. This trend supports software-as-a-service (SaaS) models and drives advancements in data analytics, cybersecurity, and collaborative tools.

Cloud computing examples related to ICT trends include AWS for IaaS, Google Drive for cloud storage, Microsoft Azure for PaaS, Salesforce for SaaS, and Dropbox for file synchronization.

Submitted by: Van Dexter G. Tirado

[lukeresearchsper]

AIoT Market Growth, Drivers & Opportunities 2034

The Internet of Things (IoT) and Artificial Intelligence (AI) are combined in AIoT (Artificial Intelligence of Things), which creates intelligent, networked systems that can gather data, analyse it, and make decisions on their own. AIoT improves IoT devices' functionality, efficiency, and flexibility by incorporating AI features including computer vision, machine learning, and natural language processing. In addition to communicating and exchanging information, this technology allows smart devices to anticipate results, learn from data trends, and streamline procedures without the need for human intervention. In order to enhance automation, security, and user experience, AIoT is extensively used in smart homes, healthcare, manufacturing, transportation, and other sectors.

According to SPER market research, ‘Global AIoT Market Size- By Component, By Deployment, By End User - Regional Outlook, Competitive Strategies and Segment Forecast to 2034’ state that the Global AIoT Market is predicted to reach 2737.44 billion by 2034 with a CAGR of 31.91%.

Drivers:

Because smart automation and predictive maintenance are increasing operational efficiency in the manufacturing sector, the worldwide AIoT market is expanding significantly. By fusing real-time analytics and sophisticated data processing, AIoT platform devices provide great efficiency and facilitate quicker, better-informed decision-making. For improved performance and productivity, this capability is being used more and more in a variety of industries, such as healthcare, transportation, and energy. Furthermore, governments' and businesses' increasing expenditures in IoT infrastructure and AI technologies are spurring innovation and integration of AIoT solutions, which are crucial for digital transformation and gaining a competitive edge in the global market.

Request a Free Sample Report: https://www.sperresearch.com/report-store/aiot-market.aspx?sample=1

Restraints:

The shortage of skilled professionals in both AI and IoT technologies is one of the main challenges facing the worldwide AIoT sector. Businesses capacity to successfully deploy and administer AIoT technologies is hampered by this skilled shortage. Significant difficulties are also presented by the intricacies of the industry value chain, including system integration, data security, and interoperability among various devices. Some organisations find it challenging to fully realise the potential benefits of AIoT due to these problems, which raise deployment costs and cause implementation delays.

Because of its robust technological infrastructure, which includes cutting-edge IT systems and high-performance computers, North America held a sizable market share. The expansion of sophisticated AIoT solutions is facilitated by significant investments in R&D as well as collaborations with academic institutions. Government initiatives supporting telemedicine and digital health solutions are supporting the rapid use of AIoT technology in the healthcare industry. Some of the key market players are Google LLC, IBM Corporation, Microsoft, Oracle, PTC, Salesforce, Inc, SAS Institute, Inc, and others.

For More Information, refer to below link: – 

AIoT Market future

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[cybersecurityict]

Digital Transformation Market – Will Cloud and AI Redefine Competitive Advantage by 2032

Digital Transformation Market was valued at USD 895.7 Billion in 2023 and is expected to reach USD 6877.6 Billion by 2032 and grow at a CAGR of 25.44% from 2024-2032.

Digital Transformation Market is reshaping global industries as organizations accelerate the adoption of advanced technologies to remain competitive. Cloud computing, AI, IoT, automation, and big data are no longer optional—they're foundational. Companies across sectors are rethinking operations, improving customer experience, and building agile infrastructure to drive long-term success.

U.S.: Enterprises are rapidly embracing digital-first models to lead in agility, scalability, and efficiency

Digital Transformation Market continues to thrive as enterprises prioritize innovation and resilience. With increased investment in digital tools, especially post-pandemic, the market has evolved into a strategic priority. Businesses are now focusing on seamless integration, data-driven decision-making, and enhancing productivity through smarter digital ecosystems.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/2834 

Market Keyplayers:

Microsoft - Microsoft Azure

IBM - IBM Watson

Salesforce - Salesforce Customer 360

Oracle - Oracle Cloud Infrastructure

SAP - SAP S/4HANA

Google - Google Cloud Platform

Amazon Web Services (AWS) - AWS Lambda

Cisco - Cisco Meraki

Accenture - myConcerto

Deloitte - Deloitte Digital

Infosys - Infosys Digital Services

Capgemini - Capgemini Cloud Services

Wipro - Wipro HOLMES

HCL Technologies - HCL Digital Transformation Services

Adobe - Adobe Experience Cloud

TCS (Tata Consultancy Services) - TCS BaNCS

ServiceNow - ServiceNow ITSM

Atos - Atos Digital Transformation Solutions

Zebra Technologies - Zebra's SmartVision

Pega - Pega Customer Decision Hub

Market Analysis

The digital transformation journey is being shaped by rising customer expectations, the demand for real-time insights, and the need to modernize legacy systems. In both the U.S. and Europe, industries including finance, healthcare, manufacturing, and retail are leveraging digital tools to streamline operations, ensure compliance, and unlock new growth avenues. Strategic partnerships between tech providers and enterprises are further fueling adoption.

Market Trends

Surge in cloud-native application development

Increased investment in AI-powered analytics

Adoption of remote and hybrid work tech stacks

Growth of edge computing for faster data processing

Rise in cybersecurity platforms integrated with digital infrastructure

Expansion of RPA (Robotic Process Automation) to automate workflows

Use of digital twins in manufacturing and infrastructure

Market Scope

The Digital Transformation Market is expanding at an unprecedented pace, touching nearly every industry and process. Organizations are not only adopting technology but embedding it into their core strategies.

End-to-end digital integration across business units

Scalable SaaS platforms supporting cross-functional teams

Industry-specific transformation frameworks

Real-time customer experience management tools

AI and machine learning models enhancing personalization

Smart infrastructure for cities and enterprises

Forecast Outlook

The market outlook for digital transformation is one of aggressive innovation and cross-industry convergence. With continuous advancement in AI, automation, and cloud computing, enterprises will increasingly leverage digital technologies to boost agility and customer-centricity. U.S. and European firms are expected to lead in deployment, setting benchmarks for global digital maturity. Competitive advantage will hinge on speed of adoption, data utilization, and transformation strategy execution.

Access Complete Report: https://www.snsinsider.com/reports/digital-transformation-market-2834 

Conclusion

Digital transformation is no longer about future-proofing—it's about leading the present. In a market where agility defines market share, businesses that integrate digital into their DNA will dominate. As the U.S. sets benchmarks in enterprise-scale deployment and Europe emphasizes secure, compliant digital growth, the stage is set for an era of smarter, faster, and more connected organizations.

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SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

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[impossiblegardenpeanut]

Information Cloud Data Integration: Unifying Data for Smarter Business Decisions

Why Information Cloud Data Integration Matters

Today’s businesses run on data—but that data is often scattered across systems, platforms, and cloud environments. Without integration, information remains siloed, reducing the value organizations can extract from their digital assets.

Information Cloud Data Integration bridges this gap by enabling seamless data flow across cloud-based applications, databases, and on-premise environments. With the right integration strategy, enterprises can unlock real-time insights, improve collaboration, and accelerate data-driven decision-making.

What is Information Cloud Data Integration?

Information Cloud Data Integration refers to the process of combining data from various cloud-based and hybrid sources into a centralized, cohesive system for analysis, reporting, or operational use. This includes integration tools and platforms that allow:

Real-time data synchronization

Batch and ETL (Extract, Transform, Load) processing

API-driven connections

AI-powered data mapping

It is especially critical in multi-cloud and hybrid infrastructures where consistent, reliable data access is key to operational success.

Core Components of a Cloud Data Integration Strategy

Unlike traditional integration methods, cloud data integration must account for agility, scalability, and security. Key components include:

1. Data Connectors and APIs

Allowing integration between SaaS apps (e.g., Salesforce, SAP, ServiceNow) and cloud storage (e.g., AWS S3, Google Cloud Storage).

2. Data Transformation and Cleansing Tools

Ensuring consistency and accuracy across formats and sources.

3. Secure Transfer Protocols

Encrypting data in transit and at rest, ensuring compliance with regulations like GDPR or HIPAA.

4. Automation and Orchestration Engines

Automating workflows, scheduling updates, and triggering data-based actions.

Real-World Use Cases

 Supply Chain Visibility

Manufacturers integrate supplier, logistics, and inventory data into a central analytics dashboard for improved forecasting and reduced delays.

 Marketing & Sales Alignment

B2B enterprises synchronize CRM, email automation, and customer data platforms to create unified customer profiles and enhance targeting.

 Healthcare Data Exchange

Hospitals use cloud integration to combine EMRs, lab systems, and patient engagement platforms for a 360° view of patient history.

 Financial Reporting

Banks merge data from loan management, customer transactions, and compliance systems for real-time financial analysis and risk management.

Benefits of Information Cloud Data Integration

✔ Centralized and accurate business intelligence ✔ Real-time data access across departments ✔ Reduced manual data handling and errors ✔ Better customer and employee experiences ✔ Scalable architecture for future growth

Common Challenges and Solutions

Challenge

How to Overcome

Data silos in legacy systems

Use hybrid integration platforms that support both cloud and on-premise

Inconsistent data formats

Apply automated data cleansing and transformation rules

Security and compliance risks

Implement access control, encryption, and audit logs

Trends Shaping Cloud Data Integration in 2025

AI-Driven Integration: Automating data mapping and anomaly detection.

iPaaS Growth: Integration Platform as a Service is becoming the standard for enterprise-grade integration.

Self-Service Tools: Empowering business users to build data flows without IT dependency.

Edge-to-Cloud Data Pipelines: Enabling insights from IoT and remote devices in real time.

How Enterprises Can Maximize Cloud Data Integration

Unifying cloud ecosystems requires a well-planned data integration strategy—one that balances performance, security, and scalability. Success begins with selecting the right tools, building flexible architectures, and ensuring seamless data flow between systems like Salesforce, Azure, SAP, and various APIs.

A strategic approach to integration empowers organizations to automate operations, eliminate data silos, and gain real-time insights that drive innovation and faster decision-making.

Conclusion

Information Cloud Data Integration is vital for organizations aiming to stay competitive in a data-driven world. As your integration needs grow, aligning with the right expertise ensures long-term success. At Prophecy Technologies, we specialize in delivering customized cloud integration solutions that are secure, scalable, and aligned with your business goals—empowering you to turn information into action.

[codereadysoftware]

Why is India the Best Destination for Low-Code App Development?

Introduction

In today’s fast-evolving digital landscape, businesses need faster, scalable, and cost-effective ways to build software. Low-code app development has emerged as the perfect solution, enabling companies to develop applications with minimal hand-coding. India has become a global hub for low-code development, thanks to its skilled IT workforce, cost advantages, and rapid adoption of digital transformation.

If you're looking for a top low-code app development company in India, CodeReady Software stands out as a leader in delivering high-performance, scalable, and secure low-code solutions.

What is Low-Code App Development?

Low-code development platforms (LCDPs) allow businesses to build applications using visual interfaces with drag-and-drop components, reducing the need for extensive coding. These platforms enable:

Faster development cycles (weeks instead of months)

Lower development costs (reduced dependency on large developer teams)

Greater business agility (easy modifications & updates)

Empowerment of non-developers (citizen developers)

Why Choose India for Low-Code Development?

1. Cost-Effective Development Without Compromising Quality

India offers competitive pricing for IT services compared to Western countries. Partnering with a low-code app development company in India can reduce costs by 30-50% while maintaining high-quality standards.

2. Skilled Low-Code Developers & IT Expertise

India has one of the largest pools of IT professionals, including certified experts in leading low-code platforms like: ✔ OutSystems ✔ Mendix ✔ Microsoft Power Apps ✔ Appian ✔ Salesforce Lightning

3. Rapid Adoption of Digital Transformation

Indian businesses across industries—banking, healthcare, retail, and manufacturing—are rapidly adopting low-code to:

Automate workflows

Enhance customer experience

Build scalable enterprise apps

4. Strong IT Infrastructure & Global Delivery Model

Indian IT firms provide 24/7 development support, agile methodologies, and seamless communication, making them ideal partners for global businesses.

Top Use Cases of Low-Code Development in India

1. Banking & Finance

Digital loan processing systems

KYC & compliance automation

Mobile banking apps

2. Healthcare

Telemedicine platforms

Patient management systems

AI-powered diagnostics apps

3. Retail & ECommerce

Custom CRM solutions

Inventory & supply chain management

Personalized shopping apps

4. Manufacturing & Logistics

ERP & workflow automation

IoT-integrated tracking systems

Warehouse management apps

5. Government & Public Sector

Citizen service portals

Grievance redressal systems

Smart city applications

Why is CodeReady Software the Best Low-Code App Development Company in India?

As a leading low-code app development company in India, we offer:

Expertise Across Leading Low-Code Platforms

We specialize in OutSystems, Mendix, Power Apps, and Appian to deliver scalable, secure, and high-performance applications.

Faster Time-to-Market

Our agile development approach helps businesses launch apps 3x faster than traditional coding.

Custom Solutions for Every Industry

From startups to enterprises, we build tailored low-code apps that align with business goals.

Seamless Integration & Scalability

We ensure smooth API integrations with existing systems and future-proof scalability.

Dedicated Support & Maintenance

Our team provides post-deployment support, updates, and optimization for long-term success.

Future Trends in Low-Code Development (2024 & Beyond)

1. AI & Machine Learning Integration

Low-code platforms will increasingly incorporate AI-driven automation, predictive analytics, and intelligent decision-making.

2. Expansion of Citizen Development

More non-IT professionals will build apps using low-code tools, reducing IT backlogs.

3. Hybrid Development (Low-Code + Pro-Code)

Businesses will combine low-code speed with custom code flexibility for complex solutions.

4. Growth in Industry-Specific Solutions

Sectors like healthcare, fintech, and logistics will see more tailored low-code applications.

Conclusion: Partner with India’s Leading Low-Code Experts

India is undoubtedly the best destination for low-code app development, offering cost efficiency, skilled talent, and rapid innovation.

CodeReady Software is a trusted low-code app development company in India, helping businesses accelerate digital transformation with cutting-edge solutions.

Ready to Build Your Next App with Low-Code? Contact Us Today for a Free Consultation!

[fromdevcom]

Modern life is getting unimaginable without the Internet of Things. Users worldwide heavily employ connected devices and pick efficient software solutions for their daily routine practices. There are a few advocates of heavy tech interference in daily life, and they have all grounds to support the extensive use of IoT devices, especially in the healthcare environment. Nowadays, medical software and hardware are getting more and more sophisticated, and custom IoT healthcare solutions providers continuously come up with cutting-edge products in the area. Consumers have already got the feel of IoT in healthcare, yet, its development can be unpredictable. Latest devices and apps have dramatically increased the quality of medical services and facilitated healthcare delivery. Mobile and Web care As it was recently reported by Salesforce, about 60% of Americans do not monitor their health data and fully rely on their doctors, and less than 30% of patients still keep non-digitalized health records. Given that, medical IoT applications can give multiple advantages to patients and caregivers. Searching for credible medical advice and prescription, patients can use IoT services that allow instant connection with medical professionals. Mobile apps and health web portals provide patients with reviews of proper recommendations and enable powerful search of relevant medications. With mobile gadgets as constant companions, people also receive advantages in emergency cases. IoT applications provide tips on how to behave in situations when knowing the basics of first medical aid is vital. Featuring high speed and wide accessibility, these apps, and services can satisfy basic patients’ needs and settle worries, although they cannot replace a visit to the doctor. It is difficult to overestimate IoT for the elderly. Regular going to checkups is tedious for senior patients. However, there are user-friendly web and mobile IoT apps that assist in-home care delivery by generating, analyzing, storing and sharing patients’ medical data, such as blood pressures, blood sugar levels, and more at any time. Cloud IoT for healthcare Integration of Cloud and IoT is another popular tendency. IoT healthcare environment becomes increasingly complex as the number of digital information channels increases and causes the influx of generated data. Cloud IoT assists in the medical management of patients and aids in delivering health care services. Leading IoT platforms are powered by Oracle or Salesforce to present a bevy of advantages. Scalable and cost-efficient The amount of generated data is so immense that it can be difficult and rather expensive to provide enough physical and virtual space on local servers. Cloud servers boast robust malware protection, and they can be scaled depending on data owners’ requirements. Due to such features as scalability and operating power, cloud servers can process an enormous amount of data across the environment. Meet analytical needs of health facilities Medical data is precise, urgent, and extremely important for providing appropriate treatment to patients. By employing Cloud IoT, both care providers can improve patient experience, and patients themselves can be engaged in timely monitoring their own health. Bring together specific data from relevant IoT devices It is estimated that by 2020 40% of IoT will be healthcare-related. Available in Cloud, the data gathered from various sensors and other IoT components can be instantly accessed by doctors or patients themselves (e.g. for treating chronic diseases and monitoring incurable patients' health.) IoT network The number of IoT-enabled healthcare products within the limited space is growing exponentially. Their growth is determined by the tendency towards introducing the latest IoT solutions to improve the patient experience. The greater is the number of devices, the better and smoother internet connection should be maintained. The healthcare environment would face problems

finding providers to support expensive networks, if not for LPWAN (Low-Power Wide-Area Network.)  It has become a trend in IoT development and has been already named a next-gen connectivity solution. The network needs less bandwidth, and due to its scalability, the network can connect more IoT devices and gather data from sensors and any other smart things that are as far as 30 miles away.  The low cost of connectivity and low latency allows easy deployment even in the most remote rural areas and makes LPWAN the best solution for IoT in healthcare. There are two dominant technologies in the LPWAN market, LoRA, and SigFox, that provide a full LPWAN tech stack for best IoT connectivity. So, the IoT network is considered to be the fastest developing segment in the area of connected technologies. Body Function Monitoring Many healthcare companies have long ago adopted systems of remote monitoring and emergency notifications. The healthcare environment along with the fitness & sports industry enjoys benefits from bringing IoT wearable devices to the top. New body function monitoring devices were showcased during CES 2017, and some of them truly merit attention. So, to monitor health conditions doing sport and fitness activities, a pair of earbuds measures core body temperature, heart rate, and VO2 along with the speed and distance and plays music. The generated data is transmitted to users’ smart devices and can be instantly processed, shared, and stored. Another breakthrough in tracking and monitoring health conditions was showcased by Diabnext. They launched an AI tool for diabetes management. Diabnext AI platform features a user-friendly interface and smooth doctor-patient connection, uses Clipsulin (an insulin dose recorder), and boasts compatibility with other IoT devices. All data generated whilst using the platform is stored on users’ computers or smart devices. To keep pace with the innovations, consumers choose IoT healthcare solutions from reliable software development vendors to fit in with their personal medical needs. IoT solutions of a kind allow patients to be aware of any health deviations from the norm and avoid critical conditions by timely contacting medical services. These technologies also improve patient experience and the quality of care provision within hospitals. The future of the healthcare environment definitely lies in the use of IoT products. Such an approach will eliminate medical staff's interference in simple treatment, ensure cut down on manual operations, and improve patients’ well-being. By Katrine Spirina Market Analyst, OCS Innovation Company Katrine Spirina is a Market Analyst with OCSICO. Her professional interest lies above all in cutting-edge trends and innovations in Healthcare, Fleet Management, and Custom Software Development. Contact Katrine via Katrine.Spirina@ocsico.com to discuss tips & opinions on the tech development of industries.

[appson]

Transform Your Business with AI Strategy Consulting Services and Emerging Technologies

AI strategy consulting services are now important for companies looking to stay ahead of the curve in today's modern environment. These services make sure companies successfully use cutting-edge solutions by leading them through the complexities of artificial intelligence. Implementing AI strategically is vital for acquiring innovation, efficiency, and a competitive edge, regardless of your company's size.

Why AI Strategy Consulting Services Are Critical

AI can transform the way businesses operate, yet many do not know where or how to start. AI strategy consulting solutions provide a transparent, customized roadmap that aligns AI solutions with your business objectives. They assist in defining use cases, evaluating technical feasibility, and creating a scalable implementation plan.

These services are especially valuable for large-scale, corporate clientele dealing with complex infrastructures and data challenges. By working with AI consultants, enterprises can:

Optimize decision-making with data-driven insights

Enhance customer experiences through personalization

Speed up digital transformation for departments

Focusing on Businesses Seeking End-to-End AI Roadmaps

One of the greatest challenges enterprises have is not having a clear AI roadmap in place. This is where specialist consulting can be game-changing. For those businesses looking for end-to-end AI roadmaps, AI consultants analyze the present position, identify strategic objectives, and provide a step-by-step implementation plan.

The typical roadmap includes:

Initial Assessment: Understanding business needs and data infrastructure

Strategy Formulation: Aligning AI initiatives with business goals

Technology Selection: Choosing the right platforms and tools

Implementation: Deploying models and integrating with existing systems

Monitoring & Optimization: Measuring performance and scaling AI capabilities

The Role of Generative AI Consulting Experts

As new models such as GPT and DALL·E gain prominence, Generative AI consulting experts are now more indispensable in enabling businesses to leverage the creative and functional capabilities of AI. From creating content and automating customer service to product design and detecting fraud, generative AI is opening new avenues.

Experts help companies navigate responsibly and effectively using generative AI, mitigating risks related to data privacy, model quality, and scaling. Their experience helps your AI solutions be not just pioneering but also sustainable and ethically grounded.

Ideal for Large-Scale, Corporate Clientele

AI consulting services are particularly suited for enterprises with complex operations and extensive data ecosystems. These organizations need scalable solutions, governance frameworks, and cross-functional collaboration—elements that are often embedded into consulting engagements designed for large-scale, corporate clientele.

Such clients benefit from:

Customized AI solutions tailored to specific industries (e.g., finance, healthcare, manufacturing)

Integration with existing enterprise software like SAP, Salesforce, or Oracle

Cross-functional alignment between data scientists, IT, and business units

Ongoing support for model refinement and re-training

Emerging Technologies That Complement AI

AI doesn’t work in isolation. Emerging technologies such as IoT, blockchain, edge computing, and 5G significantly enhance AI's capabilities. A skilled AI strategy consultant will help you identify synergies between these technologies to maximize impact.

For example:

IoT + AI: Real-time analytics from connected devices

Blockchain + AI: Secure data sharing and audit trails for ML models

Edge Computing + AI: Reduced latency and localized decision-making

Conclusion: Prepare for the Future with the Right AI Partner

Investing in AI strategy consulting services is no longer a luxury—it's a requirement for companies that want to thrive in the digital economy. Whether you want to automate processes, customize customer experiences, or develop data-driven products, AI can support you—but only if executed strategically.

Working with generative AI consulting experts and targeting businesses looking for end-to-end AI roadmaps ensures you’re not just experimenting with AI, but embedding it into the core of your organization. For large-scale, corporate clientele, the right AI partner can be the key to unlocking exponential growth.

Begin your AI transformation journey today—with trusted guidance, forward-thinking technology, and a path that drives measurable business success. Explore more at appsontechnologies.com/ for more details.

Original Source: https://bit.ly/43Barjy

[cloudifyaps]

The Importance of CVR and VAT Lookup Integration for CRM Data Management

In today's data-centric business environment, efficient and accurate data management is paramount. One area where this efficiency is crucial is within Customer Relationship Management (CRM) systems. Integrating CVR and VAT lookup capabilities can revolutionise how businesses manage their data, driving both efficiency and accuracy. In this context, Cloudify’s CVR and Company VAT lookup apps for CRM platforms like HubSpot and Pipedrive have emerged as game-changers.

Install the apps by clicking on the link below and explore now:

Danish CVR Lookup App on HubSpot Marketplace

Danish CVR Lookup App on Pipedrive Marketplace

Company VAT Lookup on HubSpot Marketplace

Company VAT Lookup on Pipedrive Marketplace

Benefits of CVR Lookup App Integration with HubSpot and Pipedrive CRM

Instant Access to Accurate Data: Cloudify's CVR Lookup on HubSpot Marketplace or Pipedrive Marketplace app allows businesses to swiftly search for companies using their name or CVR number, reducing the need for manual data input and ensuring the CRM system has the most up-to-date and accurate data.

Bulk Data Updates: The bulk update feature enables the simultaneous updating of multiple company profiles, making data management more efficient and less time-consuming.

Financial Insight: By integrating CVR Lookup, CRM users gain access to comprehensive financial data, including net turnover, gross profit, and more. This enriched data offers deeper insights, empowering sales and marketing teams to target prospective clients more effectively.

Data Mapping Customisation: Every business has its unique needs. Cloudify's CVR Lookup app provides a customisable mapping window, allowing businesses to determine how data syncs from the CVR app to their CRM, enabling a tailored data integration experience.

Benefits of Company VAT Lookup App Integration with HubSpot and Pipedrive CRM

Global Database Access: Cloudify’s VAT Lookup app on Hubspot and Pipedrive Marketplaces integrates data from a multitude of official sources across countries. Whether it's from Denmark, UK, Sweden, Australia, Norway, Switzerland, and Finland, businesses can be confident in the accuracy and validity of the data they’re accessing.

Unified and Compliant VAT Data: Operating across borders often means navigating complex VAT requirements. With VAT Lookup, businesses can effortlessly pull up customer details based on VAT numbers, ensuring data accuracy and regulatory compliance.

Streamlined Data Integration: The automatic pull feature eliminates manual data entry, making it faster and more efficient to update company details. This seamless integration not only saves time but also ensures CRM data accuracy.

Customised Data Integration: Just like with the CVR Lookup app, the VAT Lookup offers customised data mapping. This ensures that businesses can sync VAT information precisely according to their specific operational needs.

Read some of our latest blogs on effectively managing your CRM:

How To Setup HubSpot CRM for Small Business

Making the Right Use of Your CRM

Conclusion

For businesses striving to achieve the highest levels of efficiency and accuracy in their CRM data management, integration with Cloudify's CVR and VAT Lookup apps is indispensable. 

[market-insider]

Carbon Accounting Software Market Trends: Comprehensive Overview of Market Size, Share, Growth

The global carbon accounting software market size was estimated at USD 16.92 billion in 2023 and is expected to grow at a CAGR of 22.1% from 2024 to 2030. This is driven by increasing global awareness and regulatory pressure to reduce carbon emissions and address climate change. Organizations across various industries are adopting carbon accounting software to accurately measure, track, and report their carbon footprints. This software facilitates compliance with stringent environmental regulations and supports corporate sustainability initiatives by providing real-time insights into carbon emissions across operations.

The rise in demand for transparency in environmental reporting, coupled with the growing adoption of ESG (Environmental, Social, and Governance) standards, is further propelling market expansion. Additionally, the integration of advanced technologies such as AI, machine learning, and IoT into carbon accounting solutions is enhancing their capabilities, making them more efficient and user-friendly.

The increasing emphasis on corporate sustainability is driving businesses to emphasize their environmental initiatives. Carbon accounting software enables companies to transparently monitor and report their carbon footprint, showcasing their dedication to sustainability and appealing to eco-conscious consumers and investors. The market is also benefiting from the increasing adoption of cloud-based solutions, which offer scalability and ease of access, making carbon accounting more accessible to small and medium-sized enterprises. With the ongoing global shift towards sustainability and the decarbonization of industries, the carbon accounting software market is poised for robust growth in the coming years, playing a crucial role in helping businesses meet their environmental objectives.

Moreover, many governments and regulatory bodies mandate organizations to report their carbon footprint and greenhouse gas (GHG) emissions as part of strict environmental regulations or voluntary initiatives like the Carbon Disclosure Project (CDP) or the Task Force on Climate-related Financial Disclosures (TCFD). Carbon accounting software aids organizations in meeting these regulatory requirements and standards by offering standardized reporting templates and efficient data management tools. These factors are generating significant opportunities for the adoption of carbon accounting software in the market.

For More Details or Sample Copy please visit link @: Carbon Accounting Software Market Report

Key Company Insights

Key companies include IBM Corporation, SAP SE, Salesforce, Inc., and Microsoft. These companies are focusing aggressively on expanding their customer base and gaining a competitive edge over their rivals. Hence, they pursue various strategic initiatives, including partnerships, mergers & acquisitions, collaborations, and new product/ technology development. For instance, in June 2024, Workiva introduced a carbon solutions platform to help clients meet increasing climate-risk reporting and global disclosure requirements. The newly established "Workiva Carbon" subsidiary will gather data from companies' management systems and monitor greenhouse gas emissions from their operations. This platform enables businesses to automatically calculate their carbon footprint, covering scope 1, 2, and 3 emissions.

[fritzlang84]

Unlocking Speed and Agility: MuleSoft’s Edge in API-Led Connectivity

In the digital economy, speed and agility are everything. Enterprises must innovate rapidly, adapt read this to shifting customer expectations, and respond quickly to emerging market trends. Yet, IT environments are often slowed by complex legacy systems, siloed data, and rigid integration approaches. This is where MuleSoft delivers a powerful advantage through its API-led connectivity model, a modern approach to integration that transforms how businesses connect systems, build applications, and deliver digital experiences.

MuleSoft’s API-led strategy is not just a technical framework — it's a strategic approach to unlocking speed and agility at every layer of the enterprise. In this article, we’ll explore how MuleSoft empowers organizations to move faster, scale smarter, and adapt more flexibly using API-led connectivity.

What Is API-Led Connectivity? API-led connectivity is the foundational principle behind MuleSoft’s Anypoint Platform. It structures integration around three layers of APIs:

System APIs – Provide access to core systems of record (e.g., databases, ERP, CRM).

Process APIs – Orchestrate data and apply business logic across systems.

Experience APIs – Deliver data in formats tailored to specific channels or users (e.g., mobile apps, partner portals).

Each layer is decoupled and reusable, allowing development teams to move faster without reworking previous integrations. This layered design brings clarity, modularity, and scalability to integration projects.

Speed Through Reuse and Modularity Traditional point-to-point integration is slow and brittle. Every new system or project often requires custom coding and direct connections — a nightmare for IT teams managing dozens (or hundreds) of apps.

With MuleSoft’s API-led model:

Once a System API is created (e.g., for Salesforce), it can be reused in any number of projects.

Process APIs can be combined like building blocks, eliminating the need to rewrite business logic.

Experience APIs allow teams to roll out new front-end experiences rapidly without touching the backend systems.

Example: If a company launches a new mobile app, it can leverage existing APIs for user data, payments, and inventory without building new integrations. This dramatically cuts down on delivery time.

By eliminating redundancy and maximizing reusability, API-led connectivity speeds up the development lifecycle, reduces technical debt, and empowers developers to focus on innovation rather than plumbing.

Agility to Respond to Change In today’s market, the ability to adapt quickly is as important as speed. API-led connectivity enables agility through its loosely coupled architecture:

New systems can be plugged in or swapped out without impacting other APIs.

Business logic is centralized in Process APIs, allowing rules and workflows to be updated easily.

Experience APIs can evolve independently as new digital channels (chatbots, IoT devices) are introduced.

This agility means organizations can quickly respond to regulatory changes, shifting business models, or customer demands without overhauling their entire integration infrastructure.

Real-world scenario: A bank using API-led connectivity can launch a digital onboarding experience in weeks by combining existing KYC, customer data, and document verification APIs. No need to reinvent the wheel — just reassemble and adapt.

Accelerated Innovation and Time-to-Market Innovation requires rapid experimentation, and MuleSoft’s platform supports just that. Developers can:

Use the Anypoint Exchange to discover and reuse APIs and connectors.

Leverage pre-built API templates to kickstart common integrations.

Apply CI/CD pipelines and DevOps practices to push new APIs and services faster.

With MuleSoft, IT becomes an enabler rather than a bottleneck. Business teams can work with IT to prototype new services, test ideas, and bring products to market faster — with less risk and lower costs.

According to MuleSoft’s customer studies, companies adopting API-led connectivity see up to a 300% increase in project delivery speed across departments.

Empowering a Composable Enterprise The API-led approach aligns with the broader trend of creating a composable enterprise — where business capabilities are broken into discrete, reusable components that can be rapidly assembled and reassembled as needed.

MuleSoft enables this by:

Turning legacy systems into composable services via System APIs.

Encapsulating processes into reusable workflows via Process APIs.

Delivering tailored experiences across devices, platforms, or partner ecosystems.

This modularity helps businesses innovate in a plug-and-play fashion. Need to add new payment providers? Swap in a new Process API. Launching in a new geography? Create a localized Experience API using the same backend systems.

Improved Collaboration Between IT and Business MuleSoft's platform and methodology also facilitate better alignment between IT and business units:

Business stakeholders can easily explore available APIs and request changes.

Developers can create APIs with future use cases in mind, supporting long-term agility.

Product teams can iterate faster with self-service access to data and services.

This collaboration reduces silos, shortens feedback loops, and drives more value from integration efforts.

Scalability Without Complexity As businesses grow, integration complexity often scales exponentially — unless you have the right architecture. MuleSoft’s API-led model keeps things manageable by:

Separating concerns (data access, logic, presentation) into distinct layers.

Allowing parallel development, so multiple teams can work on different APIs simultaneously.

Supporting distributed environments, from on-premise to hybrid cloud.

This scalability is critical for enterprises operating across multiple lines of business, regions, and systems — and is a key reason why MuleSoft is favored by global organizations like Unilever, HSBC, and Coca-Cola.

Real-Time Capabilities and Responsiveness Speed and agility aren’t just about development — they’re also about real-time responsiveness. MuleSoft’s platform supports:

Event-driven architecture through Anypoint MQ and streaming APIs.

Monitoring and analytics to track API performance and usage in real-time.

Instant scaling via cloud-native deployments on platforms like AWS and Azure.

This real-time capability allows businesses to deliver more responsive customer experiences, from instant payment confirmations to dynamic content personalization.

Conclusion MuleSoft’s API-led connectivity model delivers a game-changing edge in speed and agility. By decoupling systems, enabling reuse, and empowering parallel innovation, MuleSoft transforms integration from a technical hurdle into a strategic accelerator. Whether you’re launching new products, modernizing legacy systems, or scaling globally, MuleSoft provides the flexible foundation to move fast, adapt quickly, and lead in the digital era.

[codezix]

How Data Cloud Powers Real-Time Personalization in Salesforce

In a digital-first world where customer expectations are evolving at lightning speed, real-time personalization has become the new gold standard. Today’s consumers expect brands to understand their needs instantly and respond with tailored experiences across every interaction. Salesforce is answering that demand through its powerful Data Cloud platform — a game-changer in the realm of customer relationship management (CRM).

Salesforce Data Cloud enables organizations to unify data from multiple sources, harness it in real time, and apply AI to drive personalized interactions across every customer touchpoint. For companies based in tech-forward cities like Seattle, adopting Salesforce Data Cloud isn't just about keeping up — it’s about leading.

With support from a qualified Salesforce consultant in Seattle, local businesses are tapping into Data Cloud’s capabilities to deliver the right message to the right customer at precisely the right moment. Let’s explore how Data Cloud is revolutionizing real-time personalization and why working with a trusted Salesforce consulting partner in Seattle is the key to unlocking its full potential.

What Is Salesforce Data Cloud?

Salesforce Data Cloud (formerly known as Customer Data Platform or CDP) is a real-time platform that consolidates and harmonizes structured and unstructured data from various sources — including CRM, social media, websites, mobile apps, and IoT devices.

What makes Data Cloud so powerful is its ability to:

Create a unified, real-time customer profile

Stream data continuously

Enable instant activation across Salesforce applications

Power AI-driven insights with Einstein and Tableau

Seattle’s innovative companies, especially those in retail, healthcare, and technology, are rapidly adopting this platform to deepen customer relationships and drive business growth through personalization.

The Power of Real-Time Personalization

Traditional marketing strategies relied on batch processing and historical data — often outdated by the time it reached decision-makers. In contrast, Salesforce Data Cloud enables personalization in real time, responding to customer actions as they happen.

Imagine a customer browsing winter jackets on your e-commerce site. With Data Cloud, that behavior can immediately trigger a personalized email offering a discount on outerwear, or update the website homepage to show relevant recommendations — all in real time.

This level of dynamic engagement is what today’s consumers expect, and Salesforce consultants in Seattle are helping companies across the Pacific Northwest deploy it effectively.

How Data Cloud Enables Real-Time Personalization

1. Unified Customer Profiles

Data Cloud unifies fragmented customer data across platforms — from email engagement to purchase history, website behavior, and in-store visits — into a single, continuously updated profile.

With help from a Salesforce developer in Seattle, businesses can configure identity resolution rules to ensure accuracy and consistency, eliminating data silos that often hinder personalization efforts.

2. Segmentation and Targeting

With Data Cloud’s dynamic segmentation tools, businesses can define customer segments based on behavior, preferences, or demographics — and update them automatically as new data flows in.

A Salesforce consulting partner in Seattle can help you build complex segmentation models that adjust in real time, ensuring that your marketing and sales teams always have fresh, relevant lists.

3. Instant Activation Across Channels

Once a segment is defined or a user behavior is detected, Data Cloud can instantly activate personalized content across email, SMS, web, mobile apps, and even call centers — without delay.

With Salesforce consulting in Seattle, companies are integrating Data Cloud with platforms like Marketing Cloud, Service Cloud, and Commerce Cloud to create seamless, multichannel experiences.

Real-World Use Cases of Data Cloud in Seattle

Retail: Personalized Shopping Journeys

Retailers in Seattle are using Data Cloud to create personalized shopping experiences both online and in-store. For example, when a customer walks into a store, a connected mobile app can suggest outfits based on their recent browsing history or abandoned cart.

With a Salesforce consultant in Seattle, local brands are deploying these use cases with integrations to Point of Sale (POS) systems, loyalty programs, and marketing automation tools.

Healthcare: Patient Engagement

Healthcare providers are using Salesforce Data Cloud to unify patient records and deliver personalized care journeys. Appointment reminders, follow-up care instructions, and wellness content are customized based on real-time data.

Salesforce developers in Seattle with healthcare experience ensure HIPAA-compliant implementations while maximizing patient engagement.

Technology and SaaS: Account-Based Marketing

Seattle’s growing tech scene relies on Data Cloud for account-based marketing (ABM). By tracking digital touchpoints across large buying teams, companies can tailor outreach by role, department, and interest.

Working with a Salesforce consulting partner in Seattle, these businesses are achieving higher conversion rates by ensuring each stakeholder receives relevant, timely content.

Integrating Data Cloud with AI and Einstein

One of the most exciting aspects of Data Cloud is its tight integration with Salesforce Einstein — the AI engine that powers predictive and prescriptive analytics.

When real-time data meets AI, businesses can:

Predict customer behavior

Recommend personalized products or content

Score leads dynamically

Forecast sales trends more accurately

A skilled Salesforce developer in Seattle can help design custom Einstein models that learn from your specific data and optimize customer interactions accordingly.

Why Local Expertise Matters: Seattle’s Salesforce Ecosystem

Implementing Data Cloud requires more than technical know-how — it demands a strategic approach, clear business goals, and continuous optimization. This is where working with a Salesforce consulting partner in Seattle becomes invaluable.

Seattle-based consultants bring:

Local market knowledge — Understanding the unique behaviors and expectations of Seattle’s diverse consumer base.

Vertical specialization — Whether it’s aerospace, tech, retail, or healthcare, a local partner is familiar with your industry.

Agility and collaboration — Being in the same time zone allows for faster feedback loops and more collaborative development cycles.

Companies seeking Salesforce consulting in Seattle are finding that a locally-based, certified team helps streamline implementation, reduce risk, and maximize ROI.

Challenges to Consider — And How to Overcome Them

While the benefits of Data Cloud are substantial, it’s not without challenges:

Data Quality: Garbage in, garbage out. Ensuring clean, accurate data is critical.

Integration Complexity: Unifying data from legacy systems or third-party platforms can be technically demanding.

User Adoption: Teams need training and change management to use new personalization tools effectively.

This is where Salesforce consultants in Seattle play a pivotal role — helping companies navigate these challenges through workshops, custom solutions, and ongoing support.

The Future of CRM: Real-Time, Predictive, and Personal

Salesforce Data Cloud is more than a technology upgrade — it's a strategic shift in how businesses understand and engage with customers. By enabling real-time personalization at scale, it empowers companies to build stronger relationships, drive conversions, and stay ahead of the competition.

For Seattle-based businesses that pride themselves on innovation and customer-centricity, the time to adopt Data Cloud is now. But success doesn’t happen in isolation.

Partnering with an experienced Salesforce consultant in Seattle ensures your Data Cloud implementation is not only technically sound but also strategically aligned with your goals.

Final Thoughts

Real-time personalization is no longer optional — it’s expected. And Salesforce Data Cloud makes it not only possible but powerful. From creating unified customer profiles to activating AI-driven experiences across every touchpoint, this platform is reshaping what’s possible in customer engagement.

Whether you’re a retail brand in downtown Seattle, a healthcare provider in Bellevue, or a SaaS startup in South Lake Union, the right Salesforce partner can help you turn data into real-time value.

Looking to personalize at scale? Connect with a trusted Salesforce consulting partner in Seattle and discover how Data Cloud can revolutionize your customer experience.

[cybersecurityict]

Artificial Intelligence Market gains unstoppable growth traction through 2032

The Artificial Intelligence Market was valued at USD 178.6 Billion in 2023 and is expected to reach USD 2465.8 Billion by 2032, growing at a CAGR of 33.89% from 2024-2032.

U.S. remains a dominant hub for AI innovation, investment, and adoption across both public and private sectors

Artificial Intelligence Market is experiencing exponential growth as enterprises integrate AI-driven solutions to boost operational efficiency, accelerate automation, and deliver smarter customer experiences. With applications spanning across healthcare, finance, automotive, retail, and manufacturing, AI is redefining how industries innovate, scale, and serve.

Artificial Intelligence Market continues to transform rapidly, fueled by advancements in machine learning, NLP, and computer vision technologies. Tech giants and startups alike are driving ecosystem-wide innovation, creating a competitive landscape filled with opportunities for next-gen solutions and strategic collaborations.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/2801 

Market Keyplayers:

Google (Alphabet Inc.) - Google AI

IBM - IBM Watson

Microsoft - Azure AI

Amazon Web Services (AWS) - AWS Deep Learning AMIs

NVIDIA Corporation - NVIDIA DGX Systems

Intel Corporation - Intel Nervana

Baidu, Inc. - Baidu AI

Salesforce - Salesforce Einstein

Apple Inc. - Siri

Tencent - Tencent AI Lab

SAP - SAP Leonardo

Adobe Inc. - Adobe Sensei

OpenAI - GPT-3

Market Analysis

The AI market is propelled by increasing data availability, improved algorithms, and rising demand for intelligent automation. Organizations are embedding AI into their workflows to drive accuracy, reduce costs, and uncover actionable insights. The market is also witnessing a surge in AI-as-a-Service (AIaaS) models, allowing scalable adoption for small to large enterprises.

Government initiatives, particularly in the U.S. and parts of Europe, are playing a pivotal role in advancing research, funding, and regulatory support. Meanwhile, ethical AI and data privacy remain key focus areas, shaping responsible innovation across industries.

Market Trends

Rapid deployment of AI in cybersecurity, fraud detection, and predictive maintenance

Growth in generative AI tools transforming content creation and software development

Expansion of edge AI for real-time processing in IoT devices

AI integration in customer service via chatbots and virtual assistants

Rise of explainable AI to increase transparency and trust

Development of industry-specific AI models for targeted applications

Increased collaboration between tech firms and academia to accelerate breakthroughs

Market Scope

The scope of the Artificial Intelligence Market is both broad and dynamic, reflecting AI’s role as a transformative engine across sectors. Businesses are not just exploring AI—they are embedding it as a core strategy.

AI in healthcare for diagnostics, drug discovery, and patient monitoring

Automation in finance for risk assessment and trading strategies

Smart manufacturing powered by AI-led robotics and supply chain optimization

Personalized marketing and consumer analytics in retail

AI-driven mobility and autonomy in automotive industries

Cloud-based AI platforms simplifying deployment for enterprises

Forecast Outlook

The future of the Artificial Intelligence Market is shaped by evolving technologies and increasing enterprise confidence in AI solutions. Continued investment, particularly in cloud infrastructure and open-source AI tools, is expected to democratize access and drive deeper market penetration. As organizations move beyond experimentation to full-scale implementation, AI is poised to become a foundational driver of digital transformation across the global economy.

Access Complete Report: https://www.snsinsider.com/reports/artificial-intelligence-market-2801 

Conclusion

Artificial Intelligence is no longer a futuristic concept—it’s the centerpiece of modern innovation. From revolutionizing diagnostics in Boston hospitals to powering autonomous systems in Berlin, the global momentum behind AI is undeniable. As businesses and governments align to shape an intelligent future, those investing in responsible, scalable, and human-centric AI will lead the next wave of transformation.

Related Reports:

U.S.A Eye Tracking Market set to revolutionize user experience with cutting-edge innovations

U.S.A witnesses rising demand for Endpoint Detection and Response (EDR) solutions amid growing cyber threats

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