I am a global strategy, marketing, and product management executive with a passion for creating and delivering technology solutions to unlock new business value. During my time as the VP of Marketing, Server Business Unit at AMD, I led the sales enablement and marketing for the EPYC product line, resulting in industry-leading revenue growth. Currently, I am the Global Head of Sales for the AI Center of Excellence at Intel and a board member at NeuReality, a startup that develops AI hardware solutions to accelerate the AI accelerators.
My expertise in AI, cloud, enterprise IT, software, 5G, product marketing, ecosystem development, and strategy has shaped the vision and direction of the companies I work for. I have been a CHIEF member and a recipient of the 2020 Women of Technology award by Connected World. I believe in dignifying each individual with integrity, collaboration, and mentorship. I am inspired by leaders who navigate situations from zero experience, such as Jack Ma, and I enjoy taking on intrapreneurial and entrepreneurial roles that bridge skills or domains for new market entry and growth initiatives.
In this episode of "Embracing Digital Transformation," host Dr. Darren welcomes AI experts Lynn Comp from Intel and Russell Fisher from NetApp to dive into the intricacies of Enterprise AI. They explore how organizations can harness the power of AI without compromising their intellectual property and data security. Key points discussed include the misconceptions surrounding the costs of implementing AI solutions, the challenges of integrating various data types, and the importance of building a resilient, enterprise-grade environment for AI deployment. The discussions reveal valuable insights and actionable strategies that leaders in technology and business can use to navigate the evolving landscape of artificial intelligence effectively. ## Takeaways - Understand the difference between experimental AI and enterprise AI, focusing on delivering real value. - Learn about the collaboration between Intel and NetApp to create accessible and reliable AI solutions. - Discover the importance of protecting intellectual property while using AI tools within organizations. - Recognize the role of open-source platforms in enhancing AI capabilities and driving innovation. - Explore real-world use cases that highlight the benefits of integrating AI in healthcare and other industries. ## Chapters - **00:01 - Introduction to the Episode** - **02:30 - Lynn Russell's Background and Expertise** - **05:15 - Misconceptions about AI Implementation Costs** - **10:45 - The Need for Enterprise AI Solutions** - **15:30 - Collaboration Between Intel and NetApp** - **20:00 - Protection of Intellectual Property in AI Usage** - **25:00 - Open Source Platforms and their Role in AI** - **30:00 - Real Case Studies of Enterprise AI Applications** - **35:00 - Future Directions in the AI Landscape**
Artificial Intelligence (AI) isn't just a buzzword—it's reshaping how businesses operate. Join host Dr. Darren, a seasoned enterprise architect, alongside Lynn Comp, an expert in innovative Data Center technology trends, as they dive into the current landscape of AI and how organizations can leverage it to thrive. In this conversation, they tackle the complexities of AI benchmarks, use cases, and the future of AI enterprise architecture. ## Key Takeaways: - **Understand AI Benchmarks**: Recognize that metrics such as tokens per second don't always translate to business value; actionability matters more than speed. - **Start Small**: Experimenting with small, manageable AI projects can yield significant insights without overhauling existing infrastructure. - **Focus on Business Needs**: Tailor AI implementations to your industry’s specific use cases to enhance operational efficiency and reduce liability. - **Embrace Hybrid Architectures**: Leverage both on-premise and cloud solutions to create a robust AI framework that mitigates risks like outages and data breaches. - **Upskill Your Workforce**: Prepare your team for the AI-driven future by fostering critical thinking skills and data literacy. ## Chapters: - 00:00 Introduction and Hook - 02:30 AI Benchmarks: Understanding the Metrics - 05:15 Use Cases for AI in Business - 08:00 The Importance of Starting Small - 10:45 The Role of Hybrid Architectures - 14:30 Upskilling Your Workforce for AI - 17:00 Recommendations and Next Steps - 19:00 Conclusion and Call to Action Join us in this enlightening episode that encourages technologists and business leaders to embrace change and harness the potential of AI in their operations. Don't forget to subscribe for more insights and share this episode with others looking to thrive in the digital age!