Why 95% of Enterprise AI Projects Fail — And How Portal26 Is Fixing It
Portal26 CEO Arti Raman breaks down why enterprise AI investments keep failing and how her company's three-pillar ...
AI Code Quality in 2026: Why Enterprise Leaders Must Prioritize Guardrails Over Speed
In 2025, AI development prioritized speed. In 2026, it's about confidence. CodeRabbit's David Loker reveals why ...
2026 AI Predictions: Quality Beats Speed as Coding Tools Mature | Arun Gupta, JetBrains
The "move fast and break things" era of AI development is ending. Arun Gupta, VP of Developer ...
How CTOs Should Evaluate Open vs Closed AI Models | Frank Nagle, Linux Foundation
Frank Nagle, Chief Economist at The Linux Foundation, provides a concrete decision framework for CTOs evaluating open ...
Why Open Source and Data Sovereignty Matter in the AI Era: Insights from Airbyte’s Teo Gonzalez
In this clip, Airbyte’s Teo Gonzalez explores why open source is essential for AI innovation and how ...
Why Most Enterprise AI Projects Fail at Production and How Couchbase Aims to Fix It | Rahul Pradhan
Most enterprise AI projects never reach production due to fragmented infrastructure. Rahul Pradhan, SVP at Couchbase, ...
Why Metadata and Context Make or Break Enterprise AI: Insights from Airbyte’s Teo Gonzalez
In this clip, Airbyte’s Teo Gonzalez breaks down why metadata and context matter more than raw ...
How CISOs Can Navigate AI Compliance Across Global Regulations | Steve Winterfeld, Akamai
AI compliance has evolved from a security checkbox to a complex web of regional regulations. Steve ...
How Security Teams Should Actually Use OWASP to Secure Agentic AI | Rupesh Chokshi, Akamai
OWASP provides frameworks, but security teams must translate them into operational defenses. Rupesh Chokshi from Akamai explains ...
Why Enterprise AI Needs MCP Standardization—And What Could Go Wrong | Randy Bias, Mirantis
Randy Bias of Mirantis breaks down the Agentic AI Foundation launch, revealing why standardization matters for enterprise ...