Elizabeth Samara-Rubio, Chief Business Officer, SiMa.ai - Building Business Case for Generative AI

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Product Leader's Journey

Rahul Abhyankar

26 episodes

1 day ago

Conversations with senior product executives about building successful products, scaling business growth and leading inspired teams!

Technology

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Conversations with senior product executives about building successful products, scaling business growth and leading inspired teams!

Technology

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Elizabeth Samara-Rubio, Chief Business Officer, SiMa.ai - Building Business Case for Generative AI

Product Leader's Journey

45 minutes 3 seconds

11 months ago

Elizabeth Samara-Rubio, Chief Business Officer, SiMa.ai - Building Business Case for Generative AI

My guest in this episode is Elizabeth Samara-Rubio, Chief Business Officer of SiMa.ai, which offers MLSOC and platform for Edge AI, and one of the ten hottest semiconductor startups of 2024. In our conversation, we dive into how to help customers build business cases for GenAI, use cases and business models. In her previous role, Elizabeth led GTM and business development at Amazon for the worldwide AI specialist organization in AWS. So we talk about how Amazon’s famous Working Backwards methodology applied to go-to-market activities. Elizabeth started her career at HP as a product manager in the Hardware Services and Support Division, and she shares some interesting lessons from this time about aligning with stakeholders. We also talk about market and industry transformation which she drove as Managing Director for Strategy and Consulting at Accenture. This episode is short and packed with insights which I know is what you will love. If you enjoy this podcast don’t forget to subscribe and follow it in your favorite podcast app or YouTube. It’s the best way to not miss future episodes, and it helps the podcast a lot. Chapters: 01:35 Introduction to AI and Generative AI at AWS

04:42 Leading Customer Conversations on Generative AI

07:26 Working Backwards: Amazon's Approach

10:43 Generative AI: Use Cases and Business Models

13:36 Investment Cases for Generative AI

16:28 Clock Speed: Understanding Stakeholder Dynamics

19:46 Transitioning from HP to Accenture: Lessons Learned

22:39 Defining Market Attractiveness and Pockets of Possibility

25:32 Machine Learning at the Edge: Applications and Implications

28:21 Personal Insights: Influences and High Standards