In this special news analysis edition of the Targeting AI podcast from AI Business, Esther Shittu and Shaun Sutner discuss Nvidia's historic achievement on Oct. 29 of becoming the first company to reach a $5 trillion market valuation with R "Ray" Wang of Constellation Research. The conversation explores the implications of this milestone for enterprise AI technology, the current AI boom, and the potential for a bubble in the market. They also touch on Nvidia's market position and the concerns surrounding monopoly in the context of the ongoing U.S.-China AI war.

Featuring R "Ray" Wang, founder and analyst at Constellation Research

In this episode, we cover how:

• Nvidia's valuation reflects the growing importance of AI technology.
• The AI market is expected to continue expanding significantly.
• There is a potential for an AI bubble if job creation does not keep pace with AI advancements.
• Entrepreneurship in AI is thriving, with small companies achieving significant revenue.
• The emergence of AI exponentials is disrupting traditional business models.
• Nvidia's dominance is partly due to geopolitical factors, particularly the U.S.-China AI war.
• Concerns about monopolistic practices exist but are complicated by the competitive landscape.
• The future of AI jobs remains uncertain as automation replaces traditional roles.

To learn more about Nvidia, generative AI and 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:

• Nvidia unveils new AI hardware-software approach for industrial AI
• Nvidia's deal with rival AI chipmaker Intel
• The AI chip giant becomes first company to cross $5 trillion threshold

In this breaking news analysis episode of the Targeting AI podcast from Informa TechTarget's AI Business, Esther Shittu and Shaun Sutner discuss the recent AWS outage that disrupted numerous websites and services, including AI applications such as widely used generative AI models from OpenAI and Anthropic. Tech analyst David Nicholson provides insights into the causes of the outage, emphasizing the importance of multi-site redundancy for enterprises relying on cloud services. The discussion also touches on the implications for AI applications and the need for businesses to consider redundancy options to prevent future disruptions.

Featuring: David Nicholson, analyst, The Futurum Group

In this episode, we cover how:

• AWS experienced a major outage due to DNS problems.
• The outage affected several large language models.
• Multi-site redundancy is a way to prevent future disruptions.
• Enterprises need to invest in redundancy for cloud services.
• AI applications are not the cause of outages but are affected by them.
• Cloud services have become more resilient over time.
• Companies must be proactive in ensuring service continuity.
• The cost of redundancy can be high, but it is necessary.
• Smaller cloud providers may not offer the same level of resilience.

To learn more about generative AI, agentic AI and AI cloud services, check out AI Business from Informa TechTarget.

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

References:

• Prepare for a cloud outage with these preventive steps
• Beware of over-reliance on U.S.-based cloud giants
• Generative AI models from Anthropic and OpenAI

In this episode of the Targeting AI podcast from AI Business, hosts Esther Shittu and Shaun Sutner discuss the role of AI in healthcare with Madhav Thattai of Salesforce and John Oberg of Precina Health. They explore the concept of being AI-first, the integration of AI in patient care, and the impact of agentic systems on healthcare outcomes. The conversation highlights how AI can enhance clinical practices, improve patient interactions, and streamline business processes, ultimately leading to better health outcomes and operational efficiency. In this episode, the conversation revolves around the transformative role of AI in healthcare, particularly focusing on patient experience, the integration of Salesforce Health Cloud, and the balance between AI automation and human clinical judgment. The speakers discuss the supportive role of AI in clinical decisions, innovative applications in mental health, and the importance of trust and ROI in AI deployments. They emphasize the need for clear KPIs and the potential for AI to unlock efficiencies in healthcare delivery.

Featuring: Madhav Thattai, SVP & COO of Agentforce product management at Salesforce, and John Oberg, founder and CEO of Precina Health

In this episode, we cover how:

• AI is used extensively in healthcare to enhance patient-provider interactions.
• Being AI-first can lead to improved clinical and financial outcomes.
• Salesforce's agentic technology is being used for customer support and marketing.
• AI can automate routine tasks, allowing healthcare providers to focus on patient care.
• The integration of AI in diabetes management has shown significant success.
• AI can personalize patient care through meal planning and recipe suggestions.
• The future of healthcare involves a collaborative approach between technology and human providers. AI is not the focus; it's a catalyst for patient experience.
• AI supports clinicians without replacing their judgment.

To learn more about agentic AI and generative AI, check out AI Business.

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

References:

• Salesforce Agentforce
• Applications for AI in healthcare
• AI and type 2 diabetes risk