Bayer, a global powerhouse with a diverse portfolio spanning pharmaceuticals via consumer health, all the way to crop science. So, what do you get when you have a guest from Bayer discussing data and AI? Even more diverse topics, of course. In this episode, hosts Weiwei Feng, Robert Engels, and Ron Tolido are joined by Mukesh Dubey, Product Management & Architecture Lead for Data and Commercial Platforms at Bayer US, for a lively and thought-provoking exchange.
The agenda? Generative AI, of course. To stay in style: is it really a “Big Aspirin” ready to tackle the toughest headaches, or is a strategy of well-planned baby steps be the better approach?
But that’s just the start. Being architects themselves just like Mukesh, Robert, and Ron exchange perspectives on the evolving role of architecture, strategy, data platforms, and governance in organizations. Meanwhile, Weiwei takes on her signature myth-busting challenge, tackling the feasibility of Artificial General Intelligence (AGI) and the question; do we need it?
And because this is the Data-powered Innovation Jam, expect some surprising connections play into the mix. Like how do everybody’s favourite Bon Jovi songs fit exactly into this equation? And who was in the same school class as German singer Nena?
Don’t miss this engaging episode filled with insights, debates, and a few unexpected twists!
Timestamps:
01:41 – Ron shares his claim to fame, recounting the time he met Joseph Bowie, founder of the legendary band Defunkt!
25:01 – Strategies for preparing architects to meet the challenges of today and tomorrow.
29:41 – Exploring key concepts in data management, including the data mesh.
37:10 – Insights into fostering seamless data sharing within organizations.
41:15 – Mukesh dives into his perspective on Artificial General Intelligence (AGI).
Connect with our guest Mukesh Dubey and our hosts Ron Tolido, Robert Engels, and Weiwei Feng on LinkedIn.
Informações
- Podcast
- FrequênciaDuas vezes/mês
- Publicado27 de novembro de 2024 04:07 UTC
- Duração45min
- Episódio8
- ClassificaçãoLivre