The AI with Maribel Lopez (AI with ML)
The AI with Maribel Lopez podcast interviews leading thinkers, experts and innovators on the latest trends in Artificial intelligence areas such as agentic AI, generative AI, AI security, AI ethics and governance. Maribel Lopez is a technology industry analyst, keynote speaker and founder of the Data For Betterment Foundation and Lopez Research. The podcast shares advice, strategies and techniques on how to use AI solutions such as conversational AI, computer vision and automation to make businesses more efficient. New episodes are released every week on Wednesdays.
The AI with Maribel Lopez (AI with ML)
From AI Chaos to Production: Why 2026 is the Year Enterprise AI Gets Real
Maribel Lopez reports live from AWS re:Invent 2025 in Las Vegas, unpacking why the AI experimentation phase is officially over. With statistics that say 95% of AI projects are failing and enterprise budgets tightening, 2026 demands production-quality AI—not more proof-of-concepts. This episode explores the critical shift from building agents to deploying them safely at scale.
Key Themes
The Reality Check (2025 Recap)
- MIT study reveals 95% AI project failure rate
- McKinsey and BCG document widespread implementation struggles
- Board-level AI initiatives now demand real ROI, not just innovation theater
- The POC gold rush is over—experimentation budgets are drying up
Agentic AI Grows Up The conversation has evolved from "can we build agents?" to "can we trust them in production?" Three critical roadblocks:
- Security & Orchestration: How agents interact without creating vulnerabilities
- Policy & Governance: Preventing rogue agents and establishing guardrails
- Observability: Real-time monitoring to ensure agents perform as intended
AWS re:Invent 2025 Highlights
Agent Core Improvements
- Enhanced policy frameworks defining agent boundaries and permissions
- Human-in-the-loop controls for high-stakes decisions
- Better cross-stack orchestration for multi-agent workflows
The Discoverability Problem
- AWS Marketplace now features natural language search
- Upload requirements documents instead of filling rigid forms
- AI-suggested prompts help non-technical users navigate complex decisions
- Smarter filtering for nuanced needs (performance vs. cost vs. compliance)
The Full-Stack Maturity
- Recognition that AI "takes a village"—no single vendor owns the entire stack
- Growing emphasis on open standards (A2A, MCP) for SaaS integration
- Tools designed for all skill levels, not just data scientists
Key Takeaway
Enterprise AI in 2026 isn't about doing more—it's about doing it right. The winners will be organizations that prioritize governance, observability, and practical deployment over flashy demos.
Host: Maribel Lopez
Recorded: AWS re:Invent, Las Vegas, December 2025
Follow-up: Stay tuned for next week's deep-dive episode with demos and vendor interviews
