How AI Happens Intel VP & GM of Strategy & Execution Melissa Evers
Melissa explains the importance of giving developers the choice of working with open source or proprietary options, experimenting with flexible application models, and choosing the size of your model according to the use case you have in mind. Discussing the democratization of technology, we explore common challenges in the context of AI including the potential of generative AI versus the challenge of its implementation, where true innovation lies, and what Melissa is most excited about seeing in the future.
Key Points From This Episode:
- An introduction to Melissa Evers, Vice President and General Manager of Strategy and Execution at Intel Corporation.
- More on the communities she has played a leadership role in.
- Why open source governance is not an oxymoron and why it is critical.
- The hard work that goes on behind the scenes at open source.
- What to strive for when building a healthy open source community.
- Intel’s perspective on the importance of open source and open AI.
- Enabling developer choices about open source or proprietary options.
- Growing awareness around building architecture around the freedom of choice.
- Identifying that a model is a bad choice or lacking in accuracy.
- Thinking critically about future-proofing yourself with regard to model choice.
- Opportunities for large and smaller models.
- Finding the perfect intersection between value delivery, value creation, and cost.
- Common challenges in the context of AI, including the potential of generative AI and its implementation.
- Why there is such a commonality of use cases in the realm of generative AI.
- Where true innovation and value lies even though there may be commonality in use cases.
- Examples of creative uses of generative AI; retail, compound AI systems, manufacturing, and more.
- Understanding that innovation in this area is still in its early development stages.
- How Wardley Mapping can support an understanding of scale.
- What she is most excited about for the future of AI: Rapid learning in healthcare.
Quotes:
“One of the things that is true about software in general is that the role that open source plays within the ecosystem has dramatically shifted and accelerated technology development at large.” — @melisevers [0:03:02]
“It’s important for all citizens of the open source community, corporate or not, to understand and own their responsibilities with regard to the hard work of driving the technology forward.” — @melisevers [0:05:18]
“We believe that innovation is best served when folks have the tools at their disposal on which to innovate.” — @melisevers [0:09:38]
“I think the focus for open source broadly should be on the elements that are going to be commodified.” — @melisevers [0:25:04]
Links Mentioned in Today’s Episode: