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Building Modern Data Platforms to Power Next Generation Analytics and AI

Modern analytics and AI depend on more than powerful models; they depend on modern data platforms. As organizations race to support AI workloads, real-time analytics, and scalable self-service, legacy architectures are quickly becoming a bottleneck. Data platforms must now be faster, more flexible, and built to support analytics and AI side by side, serving as the foundation for innovation, performance, and scale.

Stephanie Simone // 18 Aug 2026
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Zayo and NVIDIA Partner to Scale Critical Network Capacity for AI Factories

Zayo, a leading digital infrastructure provider, announced it is delivering critical network capacity to power today's AI ecosystem and accelerate the next generation of AI innovation with NVIDIA AI infrastructure.

Stephanie Simone // 06 Aug 2026

Flex and Cerebras Deepen Partnership to Scale the Manufacturing of Cerebras AI Supercomputers

Flex and Cerebras Systems Inc. are expanding their manufacturing partnership to scale production of the Cerebras CS-3, one of the world's most advanced AI accelerator systems, at Flex manufacturing facilities in Milpitas, California.

Stephanie Simone // 14 Jul 2026

Nile Eliminates Network Complexity, Strengthens Security, and Frees IT Resources for Glean

Nile, a pioneer in secure and autonomous networking-as-a-service (NaaS), announced that Glean—the Enterprise AI platform helping organizations find, create, and automate knowledge across the enterprise—is using Nile's Network-as-a-Service (NaaS) platform to support its rapid growth, AI-driven operations, and commitment to delivering exceptional employee experiences.

Stephanie Simone // 22 Jun 2026

Knox Systems to Help LeapXpert Accelerate FedRAMP Certification Process

LeapXpert, a leader in responsible business communication, announced it is collaborating with Knox Systems (Knox), the largest federal AI-managed cloud provider, to speed its path to Federal Risk and Authorization Management Program (FedRAMP) certification.

Stephanie Simone // 11 Jun 2026
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Governing the Agents Before They Govern Us

Governance is the hardest part of agentic AI and the least optional. AI will keep getting better but the question is whether our institutions can develop the judgment, constraints, and habits needed to live with systems that not only predict and recommend, but plan and act.

Colin Levy // 08 Jul 2026

Moving From Adoption to Adaptation for Explainable AI

Simon Sinek, motivational speaker on business leadership and book author, tells a story about a Millennial training program at a company with 100,000 employees (simonsinek.com/stories/why-your-best-ideas-might-needa-waiting-list). The company hired him to build the program. He said fine, but we're doing it my way.

Beth Rudden // 23 Jun 2026

AI in Medicine: A Personal Story

It's always important when discussing new technology to include test results, demo results, and any other relevant points of proof. As a very wise man once explained to me, "One test is worth a thousand experts."

Don Sullivan // 09 Jun 2026

AI Governance in the Age of Agentic AI

The rapid maturation of agentic AI systems represents a fundamental shift in how organizations must approach AI governance. Traditional governance frameworks were designed for AI systems that analyze data and generate recommendations for human review. Agentic AI operates differently.

Colin Levy // 23 Apr 2026
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November 16 - 19, 2026

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November 17 - 19, 2026