Skip to content

Details

Add to your calendar: https://hubs.li/Q04ftPyG0

The agentic era has arrived. The gaps haven't closed.

In 2024, the challenge was getting generative AI into production. In 2026, organizations are deploying agents into mission-critical, externally-facing workflows with near-zero tolerance for failure. The pain points haven't disappeared. They've gotten harder.

In this 30-minute session, Nikki Rouda, Senior Director of Product Marketing at DataRobot, walks through the 2026 Unmet AI Needs report, a global survey of 413 AI leaders and practitioners across regulated industries. You'll get the data behind five findings reshaping how teams build, run, and govern enterprise agents:

- Why ongoing operations now cost more than the initial build for 71% of teams
- What's behind the 94% Day 2 failure rate and which failure modes hit hardest
- Why 64% of respondents are deploying outside the public cloud, and what that means for tooling choices
- How the average agentic stack ballooned to 12.6 distinct tools and what teams are doing about it
- Why governance — not capability — is the top blocker for scaling to 100+ agents

You'll leave with a clear read on where the industry actually is, the questions to ask before your next agent ships, and practical framing for the conversations you're having with your own team this quarter.

## ​Useful Links

Related topics

Machine Learning
Data Analytics
Data Science for Business
Python
Open Source

You may also like