Targeting AI

On Targeting AI in the Moment (AIM), the weekly news podcast from TechTarget.com, this week’s co-hosts chat about the latest developments in the turbulent world of generative AI.

AI news writer Esther Shittu and her editor, Shaun Sutner, report the news on the sites and offer more analysis, perspective and context on recent AI developments in this short-form news podcast series.

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Shaun Sutner is senior news director and lead editor for TechTarget’s AI & Emerging Tech news coverage. He is a veteran journalist with more than 30 years of news experience. Esther Shittu is a TechTarget news writer and podcast producer and host who covers AI software and systems. Together, they host the Targeting AI podcast.

Context is critical in AI, according to Celonis CEO and co-founder Alex Rinke. The enterprise software development vendor specializes in process mining and process intelligence. On this Targeting AI episode, Rinke argues that process intelligence needs context, particularly business context, so that AI agents can understand workflows, operate more effectively and deliver measurable ROI.

In this episode, we discuss:

The evolution from process mining to process intelligence

How digital twins model organizational processes

The role of AI in automating complex workflows

Security and privacy in enterprise AI

Partnerships for sovereign AI and data governance

The impact of generative AI on process optimization

Measuring ROI in AI-driven process improvements

To dive more into topics about process mining and data, check out TechTarget AI & Emerging Tech 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:

SAP agrees to allow Celonis data access until case resolved

Process mining matures in the age of generative AI

Contextual data is important for enterprises’ AI projects

AI is abuzz with talk of self-regulation or some form of federal oversight; President Trump renaming AI as "superintelligence"; and open vs. closed AI amid the AI slowdown.

On the debut episode of Targeting AI in the Moment (AIM), the new weekly news podcast from AI Business and TechTarget.com, the three co-hosts chat about the latest developments in the fast-churning world of generative AI.

AI news writer and podcaster Esther Shittu, AI news and features writer Kinza Yasar and their editor, Shaun Sutner, report the news on the sites and offer more analysis, perspective and context in the new podcast series.

While physical AI has been accelerating in China, the technology is just starting to gain momentum in the U.S. In this Targeting AI episode, Sce Pike, vice president of AI growth and solutions at Telus Digital, discusses the future of physical AI and robotics, focusing on data collection challenges, standardization efforts, and the cultural acceptance of robots in different regions.

In this episode we discuss:

Data collection problems for physical AI

Standardization efforts in robotics data

Training data for generalist robotic models

Safety and quality issues in robotics data

Cultural acceptance of robots in different regions

To dive more into topics about robotics, check out TechTarget AI 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:

Humanoid robots: The next frontier in physical AI

Physical AI challenge: Making humanoid robots work in the real world

Smarter robots: agentic and physical AI converge in business

With Google one of the leading model makers in the AI race, the tech giant is continually addressing challenges in interoperability, governance and the future of enterprise AI. On this episode of Targeting AI, Michael Clark, director of product management at Google Cloud, dives into how AI agents are evolving, their applications in enterprise environments, and the importance of trust and security.

In this episode, we discuss:

AI agent ecosystem and interoperability challenges

Google Cloud's Gemini Enterprise Agent Platform

Governance, security, and trust in AI systems

Building and scaling enterprise AI agents

Future trends in AI agent development

To read more into topics about Google 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:

Google Cloud Bets Big on the Agentic Enterprise

What Google’s Release of Gemini 3.8 Says About the AI Market

In Catch-up Mode, Google Intros AI Agents for Financial, Legal Services