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OpenAI talks GPT-6 Astra and Millenium Prize, researchers create WeWorm exploit & IBM’s US Open app

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MCP vs Skills: Which Is Right for Your AI Agent and LLMs?

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What is the principle of least privilege (PoLP)?

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What are large reasoning models (LRMs)? Smarter AI beyond LLMs

Can AI think before it speaks? Martin Keen explains Large Reasoning Models (LRMs), their evolution from LLMs, and how they enable AI to reason, plan, and solve problems. Discover training methods like RLHF and why LRMs are shaping the future of AI reasoning.

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https://www.ibm.com/think/podcasts/smart-talks/who-really-controls-your-ai

6 Ways to Enhance Developer Productivity with AI

Not all teams see productivity gains from AI tools. Bri Kopecki breaks down six proven ways to enhance developer productivity using AI and better engineering practices. Learn how top teams use flow, automation, and design to improve performance at scale.

What is an AI Code Generator? LLM Coding, Productivity, & Risk

AI can write code but can you trust what it generates? Bri Kopecki explains how AI code generators work and why developers are both more productive and more cautious. Learn how to evaluate AI coding tools for security, reliability, and real-world production use.

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The future of computing is now

Join us to learn how IBM is revolutionizing advanced computing, bringing together the latest developments in quantum, AI, silicon, and algorithms through a new hybrid compute framework called quantum-centric supercomputing. The future of computing is here—and it’s heterogeneous.

Anthropic reveals Claude updates and new hardware guidelines, OpenAI talks rogue agents, and Runway debuts Solaris

2026 Cost of a Data Breach Report: AI Is Changing Cybersecurity

AI is accelerating both cyberattacks and cyber defense. Jeff Crume breaks down the key findings from the 2026 Cost of a Data Breach Report, including ransomware, AI-driven attacks, and security automation. Learn how organizations are using AI to reduce breach costs, improve response times, and strengthen security.

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Essential Skills for Becoming an AI Engineer: RAG, AI Agents, & More

Learn more about AI Agents here →

Want to become an AI engineer but not sure where to start? Cedric Clyburn breaks down the essential skills for AI engineering, from Python and APIs to RAG, embeddings, AI agents, observability, and deployment. Learn the foundations, workflows, and practical skills used to build modern AI systems. AI news moves fast.

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Is RAG still needed?

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Knowing When Not to Use AI : AI Agents vs Rules vs ML

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What are large reasoning models (LRMs)? Smarter AI beyond LLMs

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Generative models explained

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Synthetic monitoring explained: a guide to reliable DevOps workflows

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AI in cybersecurity

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Replay the Think 2026 keynotes

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Arvind Krishna from Keynote Session at Think 2026.

Win the enterprise AI race

In this opening keynote, IBM Chairman and CEO Arvind Krishna lays out a bold vision for how enterprises can win in the age of AI. Technology is now the single greatest source of advantage in how businesses operate.

Andy Baldwin from Keynote Session at Think 2026.

Orchestrate, accelerate and govern the agentic enterprise

Learn from innovative leaders how they have shifted from “AI as a tool” to the agentic enterprise with an open, hybrid approach to achieve real value from their AI investments, with responsibility and scale across the enterprise.

Rob Thomas from Keynote Session at Think 2026.

Power the agentic enterprise

The agentic enterprise has three key needs: Real time data, real time execution and the ability to deploy across different environments while preserving sovereignty and autonomy. Understand how AI-ready data platforms are unifying enterprise data and making it available in motion.

Mohamad Ali from Keynote Session at Think 2026.

Architect the AI-First Enterprise

IBM Consulting leaders and clients who have already made key architectural decisions share their playbook, their results, and how every quarter of delay is a quarter your competitors are using to pull ahead.

Nickle LaMoreaux from Keynote Session at Think 2026

How enterprises excel in the AI era

IBM’s own journey unlocking USD 4.5 B in productivity to reinvest in innovation offers a blueprint for strategically transforming functions and workflows with agentic AI. Learn how IBM and leading brands are building AI‑first enterprises—and how lessons from these transformations can help accelerate yours.

Ric Lewis from Keynote Session at Think 2026.

Accelerate AI ROI with hybrid cloud

In this session, learn from experts how a right-sized, full-stack hybrid cloud approach preserves choice, maintains control across environments, and delivers durable AI ROI at scale.

Jay Gambetta from Keynote Session at Think 2026.

The future of computing is now

Kareem Yusuf from Keynote session at Think 2026.

The Power of the Ecosystem: Turning AI Potential into Enterprise‑Grade Client Impact

In this keynote, the speakers dive into the pillars that are driving this experience—automated, integrated, profitable—showing how each one translates into clearer margins, faster deal cycles, more predictable recurring revenue, and greater differentiation in the market.

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From Network Signals to Business Decisions: Full‑Stack Observability with Network, Applications & AI

Learn how unified application and network observability facilitate collaboration between App Ops and NetOps teams, removing the observability networking blind spots for App Ops and DevOps.

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Beyond CVSS: Why Agentic Proof of Exploitability Matters

Join IDC and IBM to explore why the market is evolving from vulnerability management to modern exposure management and why agentic proof of exploitability is emerging as the next evolution in cyber risk reduction.

AI governance that accelerates business value

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The AI Control Plane: Turn Autonomous Agents into Governed Business Assets

Gartner believes agentic systems have the potential to revolutionize how organizations operate, while McKinsey estimates agentic AI could drive productivity gains of up to 30%. As enterprises accelerate investments in AI agents, many are discovering that the challenge is no longer building agents, but governing, securing, and managing them at scale. How can organizations unlock the promise of autonomous AI while maintaining trust, compliance, and operational control? Join us to explore why a unified AI Control Plane is becoming the foundation for enterprise AI operations.

Beyond Maintenance Management: How Leading Organizations Move from Reactive Maintenance to Prescriptive Asset Reliability

Through real-world examples, we'll explore how organizations are using IBM Maximo Application Suite to get asset health insights, predictive analytics, computer vision, and inventory optimization to reduce downtime and improve asset availability. You'll leave with practical maintenance strategies to help reduce costs and gain a roadmap to advance toward predictive and prescriptive maintenance practices.

Agents run everywhere. Manage them from one place.

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Closing the identity gap: securing humans and AI at scale

Turning Data Strategy into AI Impact

Join us for a quick, insight-packed session with Cogniware, an IBM Business Partner, to see how they’re helping organizations like law enforcement and financial institutions use AI to solve complex, high-stakes problems — with trusted, enterprise-grade data at the core.

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Unpacking the Agentic AI Journey: What Delivers, What Distracts, and What Deserves Your Investment

Join us for a grounded, insight-driven discussion that cuts through the noise and helps you make confident choices about the next phase of AI in your supply chain.

IBM Technology Summit webinar series

Through demos, discussions and customer stories, the series shows how IBM technologies can help enterprises achieve faster outcomes, reduce complexity and innovate responsibly at scale.

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