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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
View all episodes
By Rahul AbhyankarMy 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