An interview with K. Srinivasan (Balaji), Executive Vice President of Findability Sciences, a leading, award-winning enterprise AI company that helps businesses worldwide realise the potential of data
In this exclusive interview, we speak with K. Srinivasan (Balaji), Executive Vice President of Findability Sciences, to explore how AI-driven solutions are transforming enterprises.
A pioneer in data intelligence, Balaji shares insights on leveraging AI to unlock hidden business value, empowering organizations to make data-driven decisions and stay ahead in a rapidly evolving digital landscape.
Can you share your journey in the AI industry and what led you to your current role at Findability Sciences?
K. Srinivasan (Balaji): In AI the saying goes that there is no Artificial Intelligence (AI), without Information Architecture (IA), which is to do with data
Having worked in Unstructured Data (FileNet-IBM) and Datawarehouse’s for the last 25 years, the foundation and love for AI was always there, and being a Software Engineer, having worked in SDLC and Workflow’s, I see a lot of that repeating in the AI Space, love for technology, a thought leader, and the passion to help clients solve their technology challenges, with innovation and automation, AI was a natural fit in my journey.
Findability sciences has been a pioneer in Data & AI having started much before AI became a buzz word.
Findability Sciences is known for its innovative solutions. Can you discuss some of the key technologies that differentiate your offerings in the market?
K. Srinivasan (Balaji): FS was formed with the mission of helping enterprises Finding Information in all forms of data (both big and complex), instead of searching for it. It was the start of our journey into AI, leading to:
One of the early innovation was understanding that one does not always need Big Data for AI but Wide Data, which was a game changer. Wide data is bringing structured, unstructured, internal and external data to get better accuracy in AI models.
Having a methodology to delivery AI Use Cases, our patented CUPPTM methodology, which starts from Collection of data, Unification, Processing and presentation, that leads to successful application and delivery of AI use cases.
Our processing engine is a unique combination of both Analytical AI, that helps customer with Enterprise Forecasting Use Cases and Generative AI , which is powered by our Business Process CoPilot.
The AI models used in Analytical AI, are unique in the sense that it is a multi-model approach both from models and features perspective, allowing for us to get accuracy percentages which are in the very high 90’s.
Agility to develop solutions and solve real problem solving using AI has been at the core of FS culture.
How do you see AI evolving in the enterprise sector over the next few years? What trends are you most excited about?
When we started building AI models in Analytical AI over a decade back, we had a single mission of making Data Sciences and Forecasting accessible to the Business Users, and that gave birth to the Citizen Data Scientist.
So one of the trends that is now visible with Generative AI is similar where the Domain or the Business User will be one driving and building solutions rather than the Software Developers.
The AI Agents are something which is already gaining a lot of popularity in how it can solve varied complex business problems, like in healthcare where it will not be a single LLM but a combinations of LLM’s as agents debating with each other to come up with a solution.
And the most significant change would be, AI will not be used just by large organizations, but smaller organization both (product) in development of new AI solutions and (companies) building and using AI will be able to compete and take on the large organizations, leading to democratization of AI.
What are some of the biggest challenges organizations face when implementing AI solutions, and how does Findability Sciences help address these challenges?
K. Srinivasan (Balaji): The biggest hurdle when we started working with Organizations was educating them that Data is the core for AI, no Data no AI.
This is still something that organizations needs to understand is the beginning of their journey for AI, and our Data Workshops are a great asset for organizations to bring their Business, IT and Data Owners together to learn, identify, and map their AI Journey.
Organizations have a hard time figuring out the right Use Case where AI can bring them value, and we have been very successful in not just help them identify, but build , and show ROI that also leads to creation of new revenue models.
Finally, every business leaders has a feeling that AI is ChatGPT, you ask a question and you get the answers, but educating them that time, application on internal stakeholders, and consistency are key to deliver value and results.
And yes, bring a culture of change where users start using the AI built application, like a client once told me “Have the Business Users Eat it”
What do you believe are the most significant trends currently shaping the Enterprise AI landscape?
K. Srinivasan (Balaji): Along with some of the trends mentioned earlier, as AI use within Organizations increases the need for AI Governance, for Responsible, Ethical development, deployment, and use of AI is becoming a need within organizations.
What new initiatives or projects is Findability Sciences currently working on that you are particularly excited about?
K. Srinivasan (Balaji): One of the key thinking shift in the identification of use cases, is how organization can add new business models and revenue streams. This initiative helps business enables Business leaders to think of AI as not just as cost saving but revenue generating and that is a big difference.
Building of AI enabled Legal & Regulatory Solutions is helping organizations, Regulatory & Compliance heads and Legals Counsels see not just Financial and operations benefits but also Strategic one using AI.
What message would you like to share with organizations considering the adoption of AI technologies?
K. Srinivasan (Balaji): One size does not fit all, similarly one LLM or one model will not solve all your Use Cases, don’t be scared to build an AI strategy that fits your needs, which includes various models and data sources.
Work with experts who have done it and can help you not just deliver use cases but create new revenue models, and finally the best time to start adopting AI technologies was yesterday.
Balaji’s visionary leadership underscores the transformative power of AI in harnessing data’s full potential. As Findability Sciences continues to push boundaries, his expertise offers a roadmap for enterprises aiming to thrive in an AI-driven future. Stay tuned for more insights on innovation and business growth.
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