Tag: Analytics and BI Platform

Look to Cross-Tab and Tabular Analytical BI Tools for Clear Results

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July 9, 2025

Cross-Tab and Tabular Reporting Tools Are Foundational!

The evolution of advanced analytics has been rapid and impressive. With features that provide support for business users and help to transition them into Citizen Data Scientists, and the addition of Artificial Intelligence (AI) and other capabilities like Natural Language Processing (NLP) and search analytics, augmented analytics is suitable for every team member in your organization. It is easy to be impressed with all of the new bells and whistles and these additions certainly do make a user’s life easier and help the organization to analyze and use data in a more meaningful way.

But while we are admiring these new BI tools and analytics features and technologies, we should give equal respect to the bread and butter of the business intelligence (BI) and analytical landscape! Foundational, comprehensive visualization techniques are not only meaningful, they are mandatory.

‘With flexible views and report formats and interactive features and presentation capabilities, your business users, managers, IT team and data scientists can leverage data across disparate data structures and view and present that data with intuitive formats for fact-based decision-making.’

Analytics and business intelligence (BI) tools provide many such options including:

Cross-Tab – Cross-tabulation analysis (or crosstabs), analyzes and categorizes data to reveal the relationship between two or more variables to help you make sense of survey results, reveal actionable tasks, find patterns and correlations. Cross-tab analytics can be used for categorical variables (with independent or dependent variables), for contingency tables, marginal totals, or conditional frequencies, and many other purposes.

Tabular – Tabular visualization facilitates quick comparison of data in a tabular form, marrying data classification with data presentation to reveal measures and averages in a structured format that is easy to manipulate, compare and understand. Tabular analytics can be used for statistical analysis or units of measure among other uses.

According to research at the University of North Carolina (UNC), cross-tab and tabular analytics account for 90% of the analytical techniques used in all research analysis.

A BI reporting tool that enables users to customize their view and approach and is easy to understand and use will make the user more productive and ensure Return on Investment (ROI).

Analytics Can Be Flashy, But Traditional Cross-Tab and Tabular Visualization is Your Bread and Butter

These foundational analytical visualization techniques are easy to understand and use and are suitable for business users and all team members. When you choose a Business Intelligence reporting tool that enables report, template and document design and configuration and supports preprinted fixed formats too. With flexible views and report formats and interactive features and presentation capabilities, your business users, managers, IT team and data scientists can leverage data across disparate data structures and view and present that data with intuitive formats for fact-based decision-making. IT team members or consultants can leverage a simple, basic programming or scripting environment to define format templates and use data from Datasets and objects to produce stunning pixel perfect reports. Users can preview reports, export data to PDF files and share documents and reports via email at predefined frequency using delivery and publishing agents.

‘While we are admiring new BI tools, features and technologies, we should give equal respect to the bread and butter of the business intelligence (BI) and analytical landscape! Foundational, comprehensive visualization techniques are not only meaningful, they are mandatory.’

To learn more about Traditional BI Tools And Visualization Techniques and the promise of augmented analytics and Advanced Reporting Tools, contact us now. Find out how to  ensure Return on Investment (ROI) and Total Cost of Ownership (TCO) results, gain a competitive market advantage, and enable user adoption, read our free White Paper, ‘A Roadmap To ROI And User Adoption Of Augmented Analytics And BI.’ Explore The Benefits of our Augmented Analytics And BI Tools, Contact Us. Keep pace with changing enterprise needs and support business agility. Let us help you realize your business goals and objectives with fact-based information, and flexible, scalable technology solutions that will support Citizen Data Scientist initiatives, and improved data literacy and data democratization.

Original Post: Look to Cross-Tab and Tabular Analytical BI Tools for Clear Results!

Mobile BI is Not Just Nice to Have – It’s Crucial!

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June 18, 2025

Improve Results, Precision and User Adoption with Mobile BI

Two things are true today. The first is that we are a mobile society, tied to our devices, carrying them with us everywhere to stay connected, to get information and to communicate. The second true thing is that we are busier than ever and, if we are to keep up, we must find ways to be more productive. The advent of technology and the rapid pace of change has created a situation where there is always more to do than we have time to do!

When it comes to business, both of these true things are even truer! If we are a business owner or manager we know that we never have enough resources or staff and that the invaluable knowledge of our employees and professionals must be leveraged and optimized if we are to succeed. We also know that most companies today have team and staff members who are not working within the walls of a manufacturing plant or an office. Even in a retail business, our team members are often working after hours or they are on the road visiting suppliers or buyers.

That’s where mobile business intelligence (BI) comes in! Every business needs analytics and data to understand where the business is today, where it is going and what we need to do to keep the business moving on the path to success. But, information is everywhere and it can be difficult to gather it and make sense of it and use it to make decisions.

‘A mobile business intelligence (BI) app should not short change your users with restrictive formats or views.’

By integrating enterprise data and making it available in an easy-to-use mobile interface, you can allow every user in the enterprise to use data in a way that is meaningful to them and to their tasks and decisions and if that analytical solution is available on a mobile device, we enable them to be productive in airports, hotels, at client or supplier offices and while working at home.

Mobile Business Intelligence (BI) Provides Critical Support for Business Growth and User Adoption

According to a recent study by Mordor Intelligence, the fastest growing mobile BI market is in the Asia Pacific region and the largest market is in the United States.

If you are interested in expanding your business intelligence solution to a mobile environment, or in acquiring BI tools for your team, the right Mobile BI solution will:

  • Provide a native application with a seamless user interface that supports a great user experience (Ux) for ALL users (even those with average technical skills)
  • Be available for iOS and Android
  • Be suitable for self-serve analytics to encourage user adoption
  • Be easy to deploy and use
  • Provide good support
  • Be affordable
  • Provide support for data democratization and improved data literacy
  • Provide suitable return on investment (ROI) and total cost of ownership (TCO)

A mobile business intelligence (BI) app should not short change your users with restrictive formats or views. Look for a solution with:

  • Clear, flexible data visualization
  • Dynamic charts and graphs
  • Supportive dashboards and clear reports
  • Clickless analytics that are easy to use
  • Key performance indicators (KPIs) and metrics
  • Natural Language Processing (NLP) analytics that are intuitive and easy

‘By integrating enterprise data and making it available in an easy-to-use mobile interface, we allow every user in the enterprise to use data in a way that is meaningful to them and to their tasks and decisions.’

If you want to support your business user team and provide a foundation for BI tools that will better serve your team and your customers, explore Smarten Mobile BI benefits and features, with powerful functionality and access for your business users including out-of-the-box Mobile BI and advanced analytics for every team member. For more information on Mobile BI and Augmented Analytics, read our article, ‘Mobile BI Business Use Provides Real Advantages,’ and take a moment to watch and listen to this informative webinar, ‘Smarten Mobile BI.’

Original Post: Mobile BI is Not Just Nice to Have – It’s Crucial!

How Does Low-Code, No-Code Development Support BI Tools?

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June 11, 2025

BI Tools with Low Code No Code Development Provide Flexibility

What is Low-Code, No-Code development? Is it important for your business to understand its value and how it can be used in business intelligence? Well, if you are planning to upgrade your BI tools or invest in business intelligence (BI) for the first time, it is important for you to understand the components and how the composition of your BI tools can establish a solid foundation for growth and provide flexibility for change.

Low-code and no-code application development are methodologies for faster and simpler software development. The techniques use platforms and software to minimize code and enable drag and drop and other techniques to simplify and speed the development process.

‘The LCNC approach allows business intelligence vendors to create, configure, integrate, deploy and support BI tools at a lower cost, reducing the cost of the solution and ensuring that your team can transition to a Citizen Data Scientist role.’

According to a recent study:

  • No-code and low-code platforms help reduce app development time by 90%.
  • 70% of new business applications will use low-code/no-code technologies by 2025.
  • Compared to conventional app-building platforms, no-code solutions consume 70% fewer resources.
  • Gartner forecasts that low-code adoption will be so widespread that 75% of the software solutions built around the globe will be made with the help of such tools.
Low-Code, No-Code (LCNC) Adds Flexibility to Business Intelligence Solutions

So, why would this be important to YOUR business?

  • First, the flexibility and speed provided by Low-Code, No-Code (LCNC) development will allow your vendor of choice to quickly and easily respond to the market and provide new features and functionality.
  • Secondly, the ease of development allows developers to customize and personalize to respond to your needs.

When Low Code and No Code techniques are applied to business intelligence and augmented analytics solution development, there are numerous advantages. Here are just a few:

Application Development – The low-code, no-code approach reduces the time involved in application development, providing features and functionality to support user needs, supporting data visualization, reporting and a seamless user experience (Ux).

Solution Flexibility – LCNC development allows the development team to achieve flexible data construction and to easily integrate data from disparate data sources, producing an intuitive dashboard view and reports for users, so your team can use advanced analytics without advanced technology skills. Your enterprise can enjoy personalized dashboards and views that are suitable for the team, department, division, etc.

Building for the Future – Low code no code development allows the vendor development team to produce rapid results and to build in flexibility for the future, so BI software can keep pace with the market, with business needs and with your users. This approach allows the development team to support analytics, reporting requirements, data visualization, and data integration and modeling.

Productivity and Resources – Because this approach supports rapid development and creates a responsive environment, business owners and managers can work with the vendor and development team to address new business requirements, support team members with easy-to-use tools and anticipate changes in their competitive landscape with features and functionality that support workflow, business processes and user productivity.

Total Cost of Ownership (TCO) and Return on Investment (ROI) – The LCNC approach allows business intelligence vendors to create, configure, integrate, deploy and support BI tools at a lower cost, reducing the cost of the solution and ensuring that your team can transition to a Citizen Data Scientist role, thereby holding costs for data scientists, etc. The BI tools included in the technology stack will be affordable and provide a solid foundation for cost-effective growth.

‘The  flexibility and speed provided by Low-Code, No-Code (LCNC) development will allow your vendor of choice to quickly and easily respond to the market and provide new features and functionality.’

What is Low-Code, No-Code development? Is it important for your business to understand its value and how it can be used in business intelligence? Well, if you are planning to upgrade your BI tools or invest in business intelligence (BI) for the first time, it is important for you to understand the components and how the composition of your BI tools can establish a solid foundation for growth and provide flexibility for change.

To learn more about the use of Low-Code/No-Code Development in augmented analytics and business intelligence tools, explore our free article, ‘Low-Code, No-Code In Analytics.’

Find out how to  ensure Return on Investment (ROI) and Total Cost of Ownership (TCO) results, gain a competitive market advantage, and enable user adoption, read our free White Paper, ‘A Roadmap To ROI And User Adoption Of Augmented Analytics And BI.’ Explore The Benefits of our Augmented Analytics And BI Tools, Contact Us. Keep pace with changing enterprise needs and support business agility. Let us help you realize your business goals and objectives with fact-based information, and flexible, scalable technology solutions that will support Citizen Data Scientist initiatives, and improved data literacy and data democratization.

Original Post: How Does Low-Code, No-Code Development Support BI Tools?

White Paper – The Potential of the Citizen Data Scientist Approach and Augmented Analytics

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May 27, 2025
White Paper – The Potential of the Citizen Data Scientist Approach and Augmented Analytics

Understanding the role of a Citizen Data Scientist and the opportunities provided by this approach is the first step in leveraging the Citizen Data Scientist approach. Engaging a vendor and choosing the right Augmented Analytics Business Intelligence tools, services, training and deployment will ensure success. The prospect of transforming business users into Citizen Data Scientists may seem daunting but, with the appropriate planning and support, and the appropriate Augmented Analytics solution, the initiative can be extremely successful.

(more…) "White Paper – The Potential of the Citizen Data Scientist Approach and Augmented Analytics"

Case Study : Augmented Analytics Solution for India Powertrain and Sustainable Solutions Engineering Company!

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May 2, 2025

Augmented Analytics Solution for India Powertrain and Sustainable Solutions Engineering Company

The Client is a prominent engineering company in India, renowned for its extensive history. For over 160 years the Client has delivered bespoke design engineering and precision manufacturing solutions, specializing in enabling seamless motion across industries that include automotive, agriculture, marine, light construction, firefighting, and railways. The Client provides cutting-edge power solutions for critical installations and diverse applications, with expertise in fuel-agnostic engines and precision manufacturing of key engine components. It has expanded offerings in electric power train for mobility and other industrial power applications and a strengthening position in the motion control solutions space with strategic acquisitions, empowering progress across multiple sectors. The Client business is publicly traded on the National Stock Exchange of India (NSE) and the Bombay Stock Exchange (BSE) and a robust distribution network including 200 distributors, 8000 retail stores and 20,000 mechanics across India.

Continue reading “Case Study : Augmented Analytics Solution for India Powertrain and Sustainable Solutions Engineering Company!”

AI-Enabled Analytics and Business Intelligence Has Its Benefits

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April 16, 2025

Why Choose BI Tools and Analytics with AI?

Today, the use of Artificial Intelligence (AI) has a wealth of potential and prospective application in the field of analytics and its integration within analytical products provides numerous benefits to the business. There are many ways in which artificial intelligence (AI)  can augment the capabilities of existing analytics solutions, and provide additional insight, support and results.

 

World-renowned technology research firm, Gartner, predicts that ‘40% of application development teams will be using automated data science and machine learning services to build models and add AI capabilities to applications.’

 

True to this prediction, many business intelligence and analytics solution vendors have added AI capabilities to self-serve analytics to create an environment that encourages productivity, fact-based decisions and efficient business processes, approval processes, automated alerts, etc.

 

There are a number of ways that artificial intelligence can enhance and improve the features and functionality within an enterprise using the augmented analytics environment:

Business Intelligence (BI) – Artificial Intelligence can be used to analyze large datasets and to sort and present data to achieve actionable insight, recommendations and suggestions, spotting trends, providing forecasts and optimizing results.

Generative AI (GenAI) Applications – Using Natural Language Processing (NLP) and Machine Learning (ML), AI tools can create content including images, text, video and other components to enhance presentation, interact with customers and suppliers in a targeted way and personalize messages.

Analytics Tools and Techniques – Team members and end-users can leverage self-serve analytics with AI to identify patterns and trends, gain insight, present data in a way that is meaningful to a particular target audience, predict outcomes, analyze customer buying behavior and analyze performance of products, services and other operational components.

Marketing and Advertising – The organization can analyze data from disparate data sources to identify market trends, changes in targeted customer preferences, requirements for customer relationship management, and other factors that relate to competitive advantage and customer retention.

Analytics Features and Development – Vendors and solution providers can use AI to quickly and easily upgrade analytics solutions, add features and functionality and reduce development time to keep up with client and market demands.

 

Current Artificial Intelligence technologies like ChatGPT, GenAI, and Agentic AI all provide specific capabilities to satisfy business requirements and inform and improve analytics with data gathered from within the organization that can be repurposed, targeted and used to solve problems, identify opportunities, present data to management, partners and customers, and communicate with all stakeholders using relevant data and information garnered from within and outside the enterprise.

Choose Business Intelligence and Augmented Analytics with Artificial Intelligence to Improve Outcomes
  • Improve Data Visualization – Create interactive dashboards, graphs and charts to help users present and share data in a way that is meaningful to a particular audience, and to clearly present data for confident decision-making. It can recommend and suggest visualization techniques to improve and refine how data is presented.
  • Improve Analytics with Task Automation – Automate activities and tasks, using customized automation scripts, and baseline filters and rules to extract and present data that meets user parameters. It can schedule and produce repetitive reports, and scripts can be altered change parameters, thereby freeing users to perform other operational or more strategic activities.
  • Predictive Analytics – Create predictive models using self-guiding UI wizard and auto-recommendations for swift, effortless forecasting and predictive analytics using data from numerous data sources.
  • Natural Language Processing (NLP) – Expand the capabilities of text generation and human language processing. It can enhance low resolution images, recognize and synthesize images and generate images for creative presentation of data and information.
  • Auto Insights and Machine Learning – Automates the process of interpreting and presenting results using rich visualization techniques, and includes all salient details, so users can review, share or edit content as they please.
  • Automated Alerts – Analyze results and trigger and generate alerts to protect against security violations, fraud and other risks, by analyzing normal behavior and results and comparing it to current and real-world results to identify anomalies.
  • Reporting – Using visualization, graphs, images and combining those with summaries and details can provide reports and presentations that are clear and suitable for all audiences, including management and executives, as well as teams and staff members.
  • Interpretation and Summarization – Quickly interpret and summarize data without spending a lot of time creating content, editing and preparing.
  • Data Preparation – Improve data transformation and cleansing and help prepare data and improve the quality of that data using phonetics for clustering, identifying data types, and hierarchies, suggesting alternate values etc.
  • Support for Citizen Data Scientists – Use AI cutting-edge tools to support team members with sophisticated, intuitive tools that leverage artificial intelligence (AI) and analytical techniques to produce concise results without requiring the skills of Data Scientists.

 

The analytical solutions market is moving quickly to adopt Artificial Intelligence and if your business wishes to succeed, it too must move to find and improve products and services as quickly as possible to meet customer expectations and to satisfy the ever-changing landscape of business competition.

 

Select and implement an Augmented Analytics Solution With Artificial Intelligence (AI) components to ensure affordable, flexible solutions that every user can leverage, no matter their skillset or technical capabilities. Read White Papers, ‘Generative AI (GenAI): The Benefits And Applications Of AI In Analytics,’ and ‘The Practical Use Of GenAI In Business Intelligence And Analytics Tools’ and explore the benefits of AI in analytics and the full spectrum of benefits and advantages of current artificial intelligence (AI) technologies.

 

Original Post : AI-Enabled Analytics and Business Intelligence Has Its Benefits!

Enable User Adoption of BI Tools with Embedded BI

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April 10, 2025

Embedded BI Assures User Adoption of Analytics

When a business sets out to initiate data democratization and improve data literacy, it must choose the right approach to business intelligence and select an augmented analytics product that is self-serve, intuitive, easy to implement and easy for business users to embrace. Transitioning business users into the role of a Citizen Data Scientist can be challenging.

 

‘If the organization wishes to convince its business users of the importance of data analytics and fact-based decision-making, it must provide tools that are intuitive, easy-to-use and can be established within the parameters of the user’s day-to-day tasks as an integrated part of their workflow.’

 

To ensure user adoption of BI tools, optimize return on investment (ROI) and total cost of ownership (TCO) and successfully deploy business intelligence and augmented analytics, businesses often choose Embedded BI.

 

Gartner defines embedded analytics in this way: ‘Embedded analytics is a digital workplace capability where data analysis occurs within a user’s natural workflow, without the need to toggle to another application.’

If Your Business is Considering BI and Augmented Analytics, Embedded BI Will Enable User Adoption

Embedded BI solutions differ from the typical business intelligence solution in a number of ways. Here are just a few examples:

User Experience (Ux) – In the traditional BI environment, business users must learn a new solution and interface and may be required to among other solutions and software products to use that data within the BI tool. Users with average or poor technical skills are not likely to adopt a solution that requires additional training and multiple steps to accomplish a task. In the Embedded BI environment, analytics is accessible from within a familiar enterprise solution using a single sign-on and tools that are intuitive, so the user can quickly find information and analyze it all in one place.

User Adoption – In a traditional BI environment, users must invest time to learn a new BI tool and work within data silos to try to analyze information and share that information with others. Embedded BI allows users to leverage analytics within the natural flow of their daily tasks and easily share that data with other users, so the team and the individual user adoption is supported.

Integrated Workflow – Business team members are busy, and they are often scrambling to complete tasks on time and to make decisions, create presentations and move on to the next thing. Traditional BI tools require users to interrupt their workflow, and use multiple enterprise solutions to gather and analyze data within the BI environment, so the analytics process is cumbersome and inefficient. Embedded BI allows users to work in an integrated environment, gain data insight and make relevant data-driven decisions without delay or frustration.

 

‘Embedded analytics is a digital workplace capability where data analysis occurs within a user’s natural workflow, without the need to toggle to another application.’

 

In a business environment that is more competitive than ever before, team members must have the tools they need to perform tasks and complete activities dependably, and to have a firm grasp on the solutions and tools they use without spending a lot of time in training, or in gathering and preparing data to gain insight into challenges, issues, opportunities or trends that affect business success. If the organization wishes to convince its business users of the importance of data analytics and fact-based decision-making, it must provide tools that are intuitive, easy-to-use and can be established within the parameters of the user’s day-to-day tasks as an integrated part of their workflow. This approach to BI and analytics will ensure user adoption.

You can find out more about the Smarten Embedded BI And Integration APIs solution and add powerful functionality and access to existing ERP, SCM, HRMS, CRM or any other products. Provide analytics capabilities within existing products without major Investment. Your business users and your customers will appreciate the ease-of-use and access and you will gain a competitive advantage. Read our White Paper: ‘Making the Case for Embedded BI and Analytics.’

 

Original Post : Enable User Adoption of BI Tools with Embedded BI!

Case Study : Augmented Analytics for Global Telecommunications Infrastructure Solutions Provider!

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March 11, 2025

Augmented Analytics for Global Telecommunications Infrastructure Solutions Provider

This Client is a global telecommunications infrastructure provider, offering comprehensive end-to-end solutions for wireless network planning, optimization, and performance management. It offers services to over thirty (30) Tier 1 and Tier 2 telecom operators and Original Equipment Manufacturers (OEMs) worldwide, and excels in advanced 5G NR and LTE-A technologies as well as legacy networks. Business services include RF Planning, Optimization, Quality of Service (QoS) Benchmarking, In-Building Solutions, and skilled Manpower Deployment to provide seamless execution across diverse environments. The Client operates in more than fifteen (15) countries and spans five (5) continents.

Continue reading “Case Study : Augmented Analytics for Global Telecommunications Infrastructure Solutions Provider!”

Mobile BI Tools Solve Many Enterprise Issues!

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February 11, 2025

Incorporate Data Into User Roles with Mobile BI

If you are a business executive or an IT professional, you have probably seen a number of articles about the importance of Business Intelligence in industry publications and trade journals. If you are still unconvinced or uncertain about the critical importance of business intelligence (BI) and analytics for businesses like yours, here are some sobering, surprising and impressive statistics to ponder.

  • The global business intelligence adoption rate is 26%.
  • Organizations use 4 or more different business intelligence tools on average.
  • Organizations leave 97% of gathered data unused.
  • 74% of employees feel unhappy or overwhelmed when working with data.
  • Businesses using business intelligence are 5 times more likely to reach faster decisions than those that do not.
  • Bad data costs the US economy $3.1 trillion each year.

When you review these statistics, you will notice that some of the issues described can be resolved by the careful selection of the right software and solutions to satisfy your business, your team needs and your data infrastructure.

Why Mobile BI? Because it Solves Common Business Analytics Complaints!

If you are planning to acquire or upgrade a business intelligence or analytics app or solution to provide self-serve augmented analytics for your business users and improve productivity, access and data sharing, you will want to include the review of mobile business intelligence solutions in your requirements.

‘Mobile business intelligence (BI) solutions improve user adoption, ensure access to data from anywhere and encourage the use of data-driven information across the enterprise.’

The right mobile BI tools can address the issues and statistics listed above in the following ways:

  • The global business intelligence adoption rate is 26% – Mobile BI tools will increase the user adoption rate by providing intuitive data analytics that users can access from anywhere at any time, making these tools an important part of each team member’s tool box.
  • Organizations use 4 or more different business intelligence tools on average – The right mobile BI solution can integrate data from disparate data sources, and allow users to visualize in a way that is meaningful to each team member. It can optimize technology infrastructure and mitigate the issue of data silos and complex data mining and data gathering.
  • Organizations leave 97% of gathered data unused – Data is often misunderstood, misused or unused simply because team members and the enterprise do not know how to leverage, gather and analyze the data, or because the IT and/or data science team is short on resources and does not have the time to produce reports. Mobile BI tools are designed to be used by business professionals on a daily basis and to encourage data literacy and data democratization across the enterprise.
  • 74% of employees feel unhappy or overwhelmed when working with data – Understand and address your business user concerns and make data more accessible, easier to understand and use, concise and clear, so that every user can optimize data, make confident decisions and share and collaborate without data science skills or sophisticated data analytical experience.
  • Businesses using business intelligence are 5 times more likely to reach faster decisions than those that do not – Improve productivity, time to market and return on investment (ROI) and total cost of ownership (TCO) to gain a competitive advantage with mobile tools and easy-to-use techniques that will enable fact-based decisions.
  • Bad data costs the US economy $3.1 trillion each year – Banish bad data by integrating your data sources and analyzing and presenting data in a mobile environment to gain insight into trends, opportunities, issues and problems and reveal clear, concise soluti

‘If you are planning to acquire or upgrade a business intelligence or analytics app or solution to provide self-serve augmented analytics for your business users and improve productivity, access and data sharing, you will want to include the review of mobile business intelligence solutions in your requirements.’

Mobile business intelligence (BI) solutions improve user adoption, ensure access to data from anywhere and encourage the use of data-driven information across the enterprise.

If you want to support your business user team and provide a foundation for BI tools that will better serve your team and your customers, explore Smarten Mobile BI benefits and features, with powerful functionality and access for your business users including out-of-the-box Mobile BI and advanced analytics for every team member. For more information on Mobile BI and Augmented Analytics, read our article, ‘Mobile BI Business Use Provides Real Advantages.’

Original Post : Mobile BI Tools Solve Many Enterprise Issues!

DeepSeek Unseats U.S. AI, and Reveals India Potential

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February 6, 2025

DeepSeek Reveals the Potential for India’s AI Market

The shock waves from the DeepSeek announcement in the artificial intelligence (AI) space are still being felt. As AI technology businesses, software developers and consumers digest the new reality, there is no doubt the market will shift, adapt and change in a drastic way.

At the heart of this change is the Chinese company, DeepSeek, a new venture that has achieved a significant breakthrough in inference speed, leapfrogging over previous, world-renowned AI models like OpenAI, and causing a massive derailment of chip-maker Nvidia’s stock by proving that lower-end chips can be used to achieve high-performance results in the AI space. This open-source market entry has radically changed the U.S. and global market and, in so doing, it has also changed the mindset of AI developers and investors in other countries, including India.

Prior to the DeepSeek announcement, the prevailing AI strategy was a scenario in which a business required a huge capital investment to build Large Language Models (LLMs) for training and to fund massive processing capabilities and a huge talent pool for development. That meant government support, and an industry and environment to achieve these multi-billion dollar investments and goals.

DeepSeek built an AI product for less than ten million USD, with only 200 engineers.

That reality has shifted the India AI landscape by proving that the India software industry can move beyond an AI app focus to create base models and fully functional concepts. In fact, India has done it before! In defiance of all common expectations, India’s ISRO space program reached the moon at a fractional cost of the U.S. NASA program.

So, why not now? India (and other countries) have often watched from a distance as their own technology talent developed the best and brightest applications in the U.S. Today, the India government has the opportunity expand the capabilities of AI within the country, going beyond chatbots and AI contextual applications to leverage the technology talent within its borders and Create Solutions For Government, Agriculture And Other Industries.

The media and industry publications like to use the word ‘gamechanger,’ but in this case, the revelation of DeepSeek is a gamechanger in the true sense of the word, especially for India. The government is now supporting the new concept of AI evolution and development with the acquisition of 10k GPUs to support development and building the infrastructure to roll out AI models in India within 4-6 months. Yes, it’s possible!

Is the DeepSeek Moment an Opportunity for India and Global AI Potential?

Union IT Minister Ashwini Vaishnaw recently announced that, ‘the planned compute facility (cloud-based servers that are geared to run and handle AI inference), Vaishnaw stated that it has exceeded initial expectations with the country securing more than 18,600 GPUs. Among these are 12,896 Nvidia H100 GPUs, 1,480 Nvidia H200 GPUs, and 742 AMD MI325 and MI325X GPUs. Originally, the target was to procure 10,000 high-end AI chipsets. “DeepSeek AI was trained on 2,000 GPUs, ChatGPT was trained on 25,000 GPUs, and we now have 18,000 high-end GPUs available,” the IT Minister said.

As the technology market evolves, we can expect to see more changes, and those changes will come faster and more frequently. DeepSeek is just one example of the need for India to establish a nimble, adaptable approach that will respond quickly to new developments and identify the opportunities for growth and application of these developments in the global and local market.

The game is changing, and India no longer needs to defer to the U.S. or other countries in the AI market or in the use of its own development talent and investment infrastructure. It can build an ecosystem that will stand on its own without deference to other market leaders.

As IT Minister Vaishnaw said, ‘India will offer the cheapest compute in the world at less than $1 per hour for high-end chips that power generative artificial intelligence (GenAI) as the government’s ₹10,000 crore IndiaAI Mission comes into play….’

There is much to research, investigate and understand about the most recent DeepSeek development. But it does prove one thing. We do not need complacency or acceptance in technology. We need innovation, and India is up to the challenge!

Select an AI, partner for Artificial Intelligence Application Development, or a partner for  predictive analytics and technology partner and a solution Augmented Analytics Solution With Artificial Intelligence (AI) components to ensure affordable, flexible solutions that every user can leverage, no matter their skillset or technical capabilities. Read our White Papers, ‘Generative AI (GenAI): The Benefits And Applications Of AI In Analytics,’ and ‘The Practical Use Of GenAI In Business Intelligence And Analytics Tools’ and explore the benefits of AI in analytics and the full spectrum of benefits and advantages of current artificial intelligence (AI) technologies.

Original Post : DeepSeek Unseats U.S. AI, and Reveals India Potential!