How Gen AI is Transforming Modern Data Science and Management

Gen AI in Business

Tredence is leveraging generative AI to transform business functions across industries. Shub Bhowmick explains that generative AI is applicable in areas like marketing, supply chain, and customer analytics, especially where unstructured data is prevalent 1. He outlines a three-phased approach to implementing AI, starting with vision quests to identify optimal use cases, followed by experimentation in a sandbox environment, and culminating in full-scale deployment 1.

The applications of generative AI, right, is it's everywhere, right, in all functions of the business.

--- Shub Bhowmick

Shub also shares Tredence's journey in adopting generative AI, highlighting the shift from foundational models to more contextualized applications, which enhance accuracy and effectiveness 2.

   

AI Challenges

Implementing generative AI comes with significant challenges, particularly in operationalization and ensuring responsible AI use. Shub Bhowmick discusses the complexity of integrating various large language models while maintaining security and avoiding biases and hallucinations 3. He emphasizes the importance of responsible AI practices, such as ensuring models admit when they don't know an answer rather than fabricating responses 3.

In enterprise world, that's not okay. You cannot make it up.

--- Shub Bhowmick

Shub describes Tredence's approach to AI implementation, which involves a hands-on strategy to drive business outcomes rather than just consulting. This includes developing technology that delivers meaningful value and investing in domain-focused capabilities to support Fortune 500 companies 4.