Exploring the Boundless Potential of Generative AI with Shub Bhowmick

Generative AI, a transformative branch of artificial intelligence, is key to unlocking an expansive realm of possibilities across various domains. This cutting-edge technology empowers machines not just to understand, but to create. Its capabilities extend beyond mere data interpretation to generating new content autonomously, whether in images, text, audio, or even videos. By harnessing the power of Generative AI, industries are experiencing a revolution, witnessing the birth of innovative applications that redefine how we perceive and interact with technology.

In this week's CDO insights, we have Shub Bhowmick with us, who serves as the co-founder and CEO at Tredence, a specialized data science and AI solutions firm aimed at addressing the “last mile problem” in AI. Before establishing Tredence in 2013, Bhowmick occupied high-ranking roles at Diamond Consultants (currently PwC), Mu Sigma, Liberty Advisor Group, and Infosys. His educational background includes an MBA from Northwestern University's Kellogg School of Management and a Bachelor of Technology in Chemical Engineering from IIT-BHU. The interview revolves around Generative AI's transformative impact on industries. He discusses its alignment with current trends and its role in reshaping businesses. Shub ponders whether Generative AI fundamentally differs from past advanced analytics and addresses hurdles in AI adoption, emphasizing necessary mindset shifts for professionals and CEOs to drive effective adaptation. Lastly, Shub envisions Gen AI's revolutionary potential in redefining workflows and the organizational landscape, if not for data security and privacy concerns.

AIM: How do you perceive the alignment of Generative AI with current industry trends and its role in shaping the future of businesses across multiple sectors?

Shub Bhowmick: I had never heard the use of the word 'hallucination' in my industry until we all came across this explosion created by OpenAI. To begin with, in November of last year, they released 3.5. Since then, this has been the only topic everybody's talking about, especially in technology. All new startups that have a GenAI thesis are getting funded. It sparks many enterprise AI conversations around Generative AI, and even service providers like ourselves are preparing our solutions to take this core capability and drive business outcomes. This is very transformative. It has already democratized AI. We talked about AI for a long time. We used to call it “advanced data science” and “applied analytics” and just “AI” for the longest time—in the last ten months, we've been using the concept of Generative AI, but the idea is not very different. It's about how you take data, information that you already have within your firewall, or leverage other data sources that you can procure from third-party sources, and then help your executives make more meaningful decisions to improve their businesses and their bottom line or top lines. Specifically, around Generative AI, we are doing a few different things.