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Targeting AI

Targeting AI

Hosted by Informa TechTarget

TechnologyInterviews guests

Episodes

100

Latest episode

Oct 2026

Language

EN

About the show

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.

Listen to episodes

60 recent
October 20, 2026Episode 10035 min

Inside Smartsheet's AI playbook: workflows, shadow AI, security

From internal enablement and training to product features such as MCP and Smart Assist, work management vendor Smartsheet is using AI across its company. Marcus McKay Fleisch, the project management and work collaboration platform’s professional services enablement director, joins TechTarget’s Targeting AI podcast to discuss how his team is moving beyond basic adoption metrics to focus on workflow-level impact, security guardrails, and measurable business outcomes. He dives into how AI is changing daily work for Smartsheet users, why shadow AI shows up when internal tooling is missing, and how IT, product, security, and enablement must work together to make AI useful without introducing new risks. In this episode, we discuss: Smartsheet’s focus on natural language access using MCP (model context protocol) and Smart Assist. The biggest everyday benefit for users is automation inside real workflows, such as checking due tasks, prioritizing work, and completing updates with AI-assisted actions. Enablement at Smartsheet goes beyond training and includes behavior change, tooling access, security review, and close coordination with IT. Smartsheet’s main large language model tools. How Smartsheet is shifting its AI adoption strategy. Shadow AI as a signal that employees need approved tools or capabilities that the company does not yet offer internally. How Smartsheet treats security as a human and organizational problem as much as a technical one, with quarterly security training, threat modeling, and tighter controls around features such as browser and computer use. To dive more into topics about generative AI-driven software, check out TechTarget AI & Emerging Tech , 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: Build vs. buy: the AI agent landscape for businesses How enterprises should combat the growing shadow AI problem AI changes the ROI equation. Here’s how some have found success

October 14, 2026Episode 999 min

Musing about Muse’s new supporting AI models, unruly DeepSeek models

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. Check out these new stories: Meta joins enterprise agent race with Muse Wonder, facing a trust gap DeepSeek and what enterprises should learn from AI agent exploits 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.

October 6, 2026Episode 9734 min

Why context is everything for AI that actually works

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

September 30, 2026Episode 967 min

Anthropic plugs regulation, AI leaders meet with Trump, and open models

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.

September 22, 2026Episode 9541 min

Robotics has a data problem

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

September 8, 2026Episode 9429 min

The Future of Enterprise AI Agents: Governance, Security, and Scale

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

August 25, 2026Episode 9331 min

Math plus AI -- a way to control agents

Most enterprises are familiar with probabilistic AI systems such as generative AI and agentic AI. According to Maha Achour, CEO and founder of enterprise AI platform vendor Kodamai, another form of AI could help enterprises better trust these systems: math-based AI. In this episode of Targeting AI, Achour discusses how math-based AI can be trusted more than other forms of AI because it is harder to hack or be manipulated. She dives deep into the mathematical principles that Kodamai uses, including category theory and type theory. In this episode, we discuss: Mathematical principles such as category theory and type theory could help remove the black box behind current forms of AI. The importance of using neuro-symbolic AI. What grounding AI systems in mathematical certainty rather than probabilistic approximations means for challenges such as hallucinations, governance and security. Why artificial general intelligence and artificial superintelligence require human collaboration. The superiority of human intuition. To learn more about generative 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: Startup Pioneering Neuro-Symbolic AI Secures Bridge Funding Mathematical Superintelligence Startup Valued at $1.45B An Explanation of the Different Types of AI

August 11, 2026Episode 9235 min

Shutterstock, AI image licensing and the future of human-led content

The explosion of AI in 2022 coincided with the introduction of image-generating models such as Dall-E, which were met with controversy. However, in recent years, AI companies have partnered with legacy image vendors such as Getty Images and Shutterstock. On this episode of Targeting AI, Daniel Mandell of Shutterstock explains how data licensing is changing in the age of generative AI. Mandell explains how Shutterstock has evolved from a stock content company into a data licensing partner for model training, inference and increasingly agentic workflows. We discuss how Shutterstock approaches creator compensation, how it filters synthetic data, why inference is becoming as important as training, and why high-quality rights-cleared content still matters even as image generators improve. Featuring: Daniel Mandell, senior vice president of data licensing and AI at Shutterstock In this episode, we cover how: Shutterstock’s AI business grew from image licensing into a broader multimodal data licensing model covering video, audio, 3D, fonts and templates. The company now serves both model training and inference use cases, with inference becoming a major part of the business. Demand has shifted from broad volume requests to highly specific, niche, and metadata-rich content for real-world applications. Mandell says Shutterstock is not trying to be a model builder, but rather a content and data partner that helps customers solve practical AI problems. The company sees its role as combining stock assets with AI-generated content to offer more optionality to customers. Compensation for creators remains an open challenge, but Shutterstock says it is trying to ensure contributors stay part of the AI ecosystem and continue to monetize their work. Synthetic data is useful for edge cases, but Mandell argues models still need real rights-cleared human-made data to perform well. To learn more about AI and finance, 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: And Now it Begins: Shutterstock Unveils Text-to-Image AI Platform The need for tools such as Getty Generative AI by iStock The Perplexity-Getty Images Licensing Deal is Different

July 28, 2026Episode 9141 min

How F2's AI Platform Transforms Private Credit and Equity

In this episode, Don Muir of AI-native private market investment platform vendor F2, discusses how AI is transforming private markets investing by automating data processing, standardizing unstructured data, and building a system of agentic workflows tailored for financial institutions. He explains the importance of AI native solutions for private credit and equity, and how F2's platform helps decision-making and operational efficiency. Featuring: Dan Muir, co-founder and CEO of F2 In this episode, we cover: AI's role in automating private market workflows Standardization of unstructured financial data Agentic AI systems tailored for finance Impact of AI on private credit and equity markets F2's platform and its customization for firms Balancing probabilistic AI with deterministic financial data Pricing models for AI-driven financial services Future growth and market convergence in private markets AI's role in risk management during market dislocation To learn more about AI and finance, 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: Native AI on Horizon for Finance, Accounting Teams Robinhood Will Let Agents Trade -- It Could Be a Trend Global study reveals biggest risks of AI in finance sector

July 14, 2026Episode 9028 min

Building the AI-Powered Enterprise: Strategies for Agentic AI Adoption

With agentic AI and generative AI, enterprises are continually looking for ways to transform their workflows. In this episode of the Targeting AI podcast from AI Business, Esther Shittu and Shaun Sutner welcome Jason Olkowski of CRM and workforce automation vendor Creatio, to examine how enterprises can use agentic AI to improve decision-making within their workflows and unlock true value. Featuring: Jason Olkowski, chief strategy officer at Creatio In this episode, we cover: Enterprise AI adoption gaps and organizational maturity The concept of the unlimited enterprise and removing platform limits Creatio's new AI agents for banking and their governance frameworks Prioritizing AI initiatives for business impact The role of AI in decision-making and worker augmentation To learn more about using agentic AI in enterprise workflows, 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 Creatio is Redefining CRM for Financial Institutions Turning Agentic AI From Idea to Essential Enterprise Process Nvidia Launches Workflows for Organizations to Build Their Own AI

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