Breaking news: AWS moves at re:Invent make the cloud giant an AI player
In this special news analysis edition of the Targeting AI podcast from AI Business, Esther Shittu and Shaun Sutter interview R "Ray" Wang of Constellation Research, with Wang live from the AWS re:Invent 2025 conference in Las Vegas. Wang says AWS's new frontier AI agents represent a major step in the development of agentic AI, and other AI vendors are likely to follow AWS's lead. He also notes that AWS's new Trainium AI chips position AWS to be less reliant on AI chips from Nvidia, though the AI hardware giant continues to be a major chip provider to AWS. Wang also notes that AWS's new "AI factories" are crucial for the growing sovereign AI movement, as countries and regions worldwide are establishing their own AI industries and are less dependent on the U.S. and China.
Featuring R "Ray" Wang, founder and analyst at Constellation Research
In this episode, we cover how:
The demand for AI chips is growing rapidly.
AWS's Trainium AI chips offer cost-effective options for developers.
Pre-built models are essential for speeding up development.
AWS is focusing on providing choices for developers.
The integration of AI into existing systems is crucial for businesses.
AWS is catching up in AI capabilities compared to competitors.
The importance of governance and security in AI deployment.
Startups are increasingly building on AWS infrastructure.
The future of AI will involve multi-agent systems across platforms.
To learn more about AWS, generative AI, agentic AI and sovereign 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:
AWS Launches Frontier Agents
AWS Opens First Innovation Hub for APAC
AWS Developing High-Performance Autonomous AI Agents
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Generative AI and Diversity: What WLDA is Doing About It
It’s no secret that generative AI has led to exponential growth in AI technology. However, one area continues to seem to be lacking. Years ago, Asha Saxena, of the World Leaders in Data and AI (WLDA) organization, attempted to shift the landscape by creating an organization that emphasizes the importance of diversity in AI and the ethical challenges organizations face when implementing AI systems. In this Targeting AI podcast from AI Business, she emphasizes the need for women to have a bigger role in the AI community and the role of men as allies in this mission.
Featuring: Asha Saxena, CEO of World Leaders in Data and AI
In this episode, we cover how:
Diversity is essential for innovation and excellence.
Men must be included in the conversation about women in leadership.
AI can help detect and rectify bias in data.
Organizations face challenges in obtaining diverse data sets.
Lifelong learning is crucial in the rapidly evolving AI landscape.
Personalization in AI applications is a significant trend.
To learn more about generative AI and diversity, 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.
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Alibaba.com B2B marketplace buys and sells with AI
In this episode of the Targeting AI podcast from AI Business, Esther Shittu and Shaun Sutner interview Justin Liu of B2B platform Alibaba.com.,
discussing his extensive experience in e-commerce and the evolution of B2B sourcing in the age of AI. Liu shares insights on the complexities of B2B transactions, the innovative AI tools being implemented to enhance buyer and seller experiences, and the rapid adoption of these technologies by small businesses. He also highlights the importance of supplier verification and security in B2B commerce, and how AI is transforming traditional roles in the industry. The conversation concludes with a look at Alibaba's global expansion efforts and the future of AI in the e-commerce sector.
Featuring: Just Liu, general manager, Alibaba.com U.S
In this episode, we cover how:
B2B sourcing is more complex than B2C transactions.
AI can simplify the tedious processes in B2B sourcing.
Alibaba.com focuses on helping buyers and sellers with AI.
AI adoption is growing rapidly among professional buyers.
AI enhances supplier verification and transaction security.
AI is transforming traditional sales roles in B2B.
AI helps lower the entry barrier for small businesses.
To learn more about 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:
Alibaba, Nvidia Unite for AI Development and Cloud Growth
Alibaba Cloud targets full-stack AI dominance
Alibaba unveils Accio Agent for global trade
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Changing enterprises' misconceptions about AI
Some think AI is just a trend and that we are on the verge of a bubble. That is not the case for Arun Subramaniyan, of Articul8. This enterprise AI vendor offers customers a platform for developing and deploying customized generative AI applications. In this Targeting AI podcast, Subramaniyan discusses some of the misconceptions enterprises have about implementing AI technology and the significance of measuring ROI.
Featuring: Arun Subramaniyan, CEO and founder of Articul8
In this episode, we cover how:
AI is a necessity for solving complex problems, not just a trend.
Enterprises struggle with data synthesis and knowledge discovery.
Customer data remains secure within its environment.
Open source is crucial for the evolution of AI technology
Many enterprises misunderstand the complexities of AI implementation.
To learn more about generative 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:
How business leaders are measuring generative AI's ROI
AI regulation and the open source community
Intel-Backed Generative AI Company Launches Aerospace Platform at Paris Air Show
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Breaking news: What Nvidia's $5 trillion milestone means for AI
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
Hosts Shaun Sutner, TechTarget News senior news director, and AI news writer Esther Ajao interview AI experts from the tech vendor, analyst and consultant community, academia and the arts as well as AI technology users from enterprises and advocates for data privacy and responsible use of AI. Topics are related to news events in the AI world but the episodes are intended to have a longer, more ”evergreen” run and they are in-depth and somewhat long form, aiming for 45 minutes to an hour in duration. The podcast will occasionally host guests from inside TechTarget and its Enterprise Strategy Group and Xtelligent divisions as well and also include some news-oriented episodes featuring Sutner and Ajao reviewing the news.
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