Data Standard Audio Experience with IBM’s Sumit Gupta

The Data Standard

Data Standard Audio Experience with IBM’s Sumit Gupta VP of AI Strategy & CTO, Data & AI
Host Darren Kaplan sits down with IBM’s Sumit Gupta, VP of AI Strategy & CTO, Data & AI to talk about Micro Pivoting and AI.

Episode Summary

In this episode of The Data Standard, host Darren Kaplan talks about Micro Pivoting and AI with Sumit Gupta, VP of AI Strategy & CTO, Data & AI at IBM.

The worst place to be in the world of business and big data is to be a solution looking for a problem. However, tinkerers often have a great idea that has no market. They are forced to pivot and make sure not to pivot too many times and run out of budget.

Micro Pivoting comes as a method that allows tinkerers to only pivot your approach, which doesn’t affect your available resources. For instance, you can change the presentation part when pitching the product idea or selling the finished product to the market.

In the world of AI and ML solutions, one might not be aware of all the solution’s applications and use-cases. Maintaining this agile mindset, quickly identifying market opportunities, and how a solution can help solve real problems can be helpful.

Join Darren Kaplan and Sumit Gupta and dig right into Micro Pivoting, AI, and ML.

Meet the Hosts

Darren-Kaplan

Darren Kaplan

Co-Founder & Board Member of HiQ Labs
Darren Kaplan is 2x Founder and recognized as one of the Top 20 Data Science Influencers in 2020. Darren is the co-creator of The Data Standard, the premier networking user-community for data-science, data engineers, and cybersecurity enthusiasts.

Sumit Gupta

VP of AI Strategy & CTO, Data & AI at IBM
I have deep business, product, and technical expertise in 3 domains: AI (machine / deep learning), HPC (high-performance computing) software, applications, and systems, and semiconductor design and design automation. And I have experience across a broad range of technologies and markets ranging from self-driving cars / ADAS, medical imaging, quantum computing, computational chemistry, video/image analytics, blockchain, financial computing, and so on.