With the rise of generative AI and agentic AI, there has also been a push for AI PCs within the enterprise. Companies like Lenovo and Microsoft are providing enterprises with devices that help create these devices. However, there is no AI PC without AI chips. In this podcast, Michael Nordquist of chipmaker AMD discusses the evolution of AI chips and AMD's role in the rapidly changing AI landscape. He highlights the features of AI PCs, the impact of AI on enterprise efficiency, and AMD's strategy against competitors such as Nvidia.

Featuring: Michael Nordquist, corporate VP of product marketing, AMD

In this episode, we cover:

• AMD's position as a key player in AI technology.
• How AI PCs integrate NPUs for enhanced performance.
• The need for vendors to focus on security when developing AI PCs.
• How adoption of AI PCs is influenced by perceived value.
• The future will see a blend of personal and enterprise AI agents.

To learn more about AI PCs, check out AI Business from Informa TechTarget, and please subscribe to our newsletter to keep up to date on the most important AI news.

To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.

References:

• AMD Competes With Intel With AI New Chips
• AI PCs Are Going Mainstream, Says AMD's Jason Banta
• Microsoft Aims for AI PCs While Apple Unveils M5 Chips

Agentic AI has grown rapidly in the past two years, and with that growth comes different tools that help agents work. Among those tools is the Model Context Protocol from Anthropic. In this episode of the Targeting AI podcast from AI Business, Jim Zemlin and Mazin Gilbert dive into the importance of agentic AI, the relevance of MCP, the nuances of openness in AI, and the responsibilities surrounding AI security and ethics. The conversation also touches on the future of personal agents and the evolving role of developers in the AI landscape, with the popularity of OpenClaw. This episode was recorded on-site in New York City last week at the MCP Developer Summit presented by the Agentic AI Foundation.

Featuring: Jim Zemlin, CEO of the Linux Foundation, Mazin Gilbert, executive director of the Agentic AI Foundation

In this episode, we cover how:

• Agentic AI is crucial for driving information exchange and financial transactions.
• Standardization is necessary as we move from experimentation to production in AI.
• The Linux Foundation provides a neutral space for collaboration among tech companies.
• Openness in AI includes varying degrees of access to data and models.
• Ethical AI usage is a priority for the AI industry to prevent bias.
• Developers' roles are shifting from coding to system architecture and security.
• The future of AI will involve both open and closed data.

To learn more about Agentic AI, check out AI Business from Informa TechTarget, and please subscribe to our newsletter to keep up to date on the most important AI news.

To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.

References:

• MCP is Alive, But Faces Challenges
• How to Prepare Supply Chains for Agentic AI
• The Growing Need for Cybersecurity in Agentic AI

The future of work is continuing to change with AI, and many agree that AI co-workers are becoming part of everyday work. However, many enterprises still find it challenging to understand the various use cases for AI, the role AI can play in enhancing productivity, and the need to approach AI implementation thoughtfully, focusing on real problems rather than succumbing to FOMO. In this conversation on the Targeting AI podcast from AI Business, HP's Faisal Masud shares insights on the future of work and HP's commitment to integrating AI into its offerings.

Featuring: Faisal Masud, President, digital & lifecycle services, HP

In this episode, we cover how:

• Consumers are more advanced in using AI than enterprises.
• AI at the edge enhances privacy and security.
• Enterprises need to understand specific use cases for AI.
• How HP approaches its differentiation strategy.
• ROI in AI projects should consider productivity and cost reduction.
• AI should augment human capabilities, not replace them.
• The future of work will involve AI as a co-worker.

To learn more about AI adoption, check out AI Business from Informa TechTarget, and please subscribe to our newsletter to keep up to date on the most important AI news.

To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.

References:

• HP's New Keyboard Gives New Meaning to All-in-One
• AI Innovation vs Adoption: Why They Are Misaligned
• Generative AI Adoption Grows Fivefold, Capgemini Reports