Targeting AI

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
 
 

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.

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
 

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
 

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
 
 

Breaking News: Impact of the AWS Outage on AI Applications

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

Streaming data and generative AI: Confluent's approach

In this episode of the Targeting AI podcast from AI Business, Shaun Sutner and Esther Shittu interview Sean Falconer of streaming data platform vendor Confluent. They discuss Confluent's AI strategy, the importance of real-time data management, and the integration of generative AI and multi-agent systems into business processes. Falconer emphasizes the need for high-quality data and the advantages of open source technologies like Apache Kafka and Flink. The conversation also touches on the challenges of implementing AI systems and the future direction of AI technology at Confluent.
Featuring: Sean Falconer, senior director of AI Strategy at Confluent.
In today's episode, we cover how:
Confluent focuses on real-time data processing and management.
Generative AI requires fresh, relevant data to be effective.
Data quality should be enforced at the source, not downstream.
Multi-agent systems can operate continuously and autonomously.
Confluent partners with major AI model providers for integration.
Reliability and testing are critical challenges in AI development.
The future of AI at Confluent includes building support for ambient agent experiences.
To learn more about AI, open source and agentic systems AI, check out AI Business.
To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech. 
References: 
Confluent, streaming data and agentic AI
Confluent and Databricks work together to simplify AI development
What is data streaming?
 
 

The Future of Patient Care: AI-First Approaches with Salesforce Agentforce

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 
 

Salesforce advances its agentic AI platform with Agentforce 360

In this breaking news analysis episode of the Targeting AI podcast from Informa TechTarget's AI Business, hosts Esther Shittu and Shaun Sutner discuss the latest innovations in agentic AI technology unveiled at Salesforce's Dreamforce conference in October with guest Madhav Thattai of CRM and CX giant Salesforce. The conversation covers the new Agentforce 360 platform, including hybrid reasoning, enhanced control and context for agents, and the importance of the user experience and data privacy. Thattai emphasizes the need for a balance between creativity and control in enterprise AI applications.
Featuring: Madhav Thattai, SVP and COO of Agentforce product management at Salesforce
In today's episode, we cover how:
Hybrid reasoning combines LLMs with structured processes.
Control and context are essential for agent functionality.
UX features are being enhanced for agents.
Data privacy is important to Salesforce.
AI agents must respect user permissions and access.
Salesforce aims to democratize agent development.
Context indexing improves agent accuracy.
To learn more about agentic AI, generative AI and Salesforce, check out AI Business.
To watch videos of our podcasts, subscribe to our YouTube channel, @EyeonTech.

UiPath moves from RPA to agentic AI

In this podcast, Mark Geene of robotic process automation (RPA) vendor UiPath discusses the evolution of RPA and the emergence of agentic AI. He explains how these technologies are transforming business processes, the importance of governance and compliance, and the future of work with digital workers. Geene also highlights the role of data in enabling effective AI agents and shares insights on the competitive landscape of RPA vendors. The discussion concludes with predictions about the future of AI in business.
In the episode, we cover how:
RPA automates repetitive tasks and is limited to deterministic workflows
Agentic AI combines deterministic and ad hoc processes for greater flexibility
Governance and compliance are critical for successful automation
Orchestration allows for effective collaboration between agents, robots, and humans
Data is essential for providing context to AI agents
Narrowly scoped agents can operate with more autonomy
The future of work will see agents supervising business processes
Featuring: Mark Greene, senior vice president and general manager of AI products and platform at UiPath
To learn more about agentic AI, RPA and generative AI, check out AI Business from Informa TechTarget.
To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.
References:
UiPath AI agents blend with RPA amid industry hype, doubts
Governance Is Top Priority for Companies Using Agentic AI: Survey
Startup aims to upend old-school RPA with large action model | TechTarget