DataRobot

Your job description is about to get an upgrade. In our recent webinar, guest speaker Forrester’s Rowan Curran highlights a shift we can’t ignore: the move from being a traditional worker to an Agent Supervisor. As agents take on sub-tasks, the human role evolves into managing and orchestrating these "digital coworkers." 🤝 It’s a new nuance in the workforce transition. Catch the recap for a look into the future of software development and beyond: https://bit.ly/4mwxYLk

Here’s what DataRobot was talking about this week: ⚖️ The #1 hurdle for multi-agent systems? Governance. We polled our audience, and 66% named Governance & Oversight as their top challenge. In the agentic era, human-in-the-loop and regulatory compliance aren’t "nice-to-haves"—they are the marks of AI maturity. 📺 🛠️ Pilots don't pay integration debt Scaling breaks on four fronts: departments, high-stakes decisions, 100x data volumes, and deep system integration (ERP/CRM). If you're relying on batch exports, your data is holding you back. 📈 🧠 The "AI Problem" is actually a human problem Debanjan Saha talked about why ethical AI requires looking beyond the algorithm. To move forward, organizations need representative data, clear fairness definitions, and governance that isn't afraid to ask hard questions. Bias is a call for organizational self-reflection. 💻 Dev to Dev: The "Refinement Trenches" Is AI making life easier or just shifting the pressure? While prototyping is faster, developers are spending more time fixing edge cases and LLM errors. Leadership needs to understand this new distribution of effort. 🏟️ Next Stop: Dell Technologies World In a sea of demos, the winners are the ones moving past the pilot stage. We’ll be at Dell Technologies World showing how AI agents are evolving into a true agentic workforce that automates and optimizes across the entire business. See you next week!

In a sea of demos: who's actually winning in enterprise AI? Spoiler🤫It's the ones helping enterprises get past the pilot stage. At Dell Tech World, we’ll be showing how AI agents are evolving into a true agentic workforce: systems that automate, predict, and optimize across your entire business. Join us for a demo at Booth #106: https://bit.ly/3OkBLPq

Dev to dev: Is AI making our lives easier, or just shifting the pressure? While C-suite leaders see AI tools as a way to speed everything up, the reality on the ground can differ. We’re moving faster in the prototyping phase, but spending way more time in the "refinement trenches" fixing edge cases and managing the errors that LLMs leave behind. One of our developers shares why this "time-shifting" is changing the way we work, and why leadership needs to understand the new distribution of effort.

The "AI problem" is actually a human problem that technology has made impossible to ignore. To move toward truly ethical AI, organizations have to look beyond the algorithm. It requires a commitment to three things: 1️⃣ Using more representative data. 2️⃣ Establishing clear definitions of fairness. 3️⃣ Implementing governance that demands hard questions. Debanjan Saha on why bias is a call for organizational self-reflection:

What if your “AI-ready” data is actually holding you back? Agentic AI scaling breaks on four fronts at once: across departments, into higher-stakes decisions, under 10–100x data volume, and through real integration with systems like ERP and CRM (not batch exports). We focus on production orchestration and deep integration, because pilots don’t pay integration debt. See what readiness really requires: https://bit.ly/4cesQYW

Multi-agent systems are the future, but what’s keeping them grounded? We polled our audience, and 66% named Governance & Oversight as their top challenge. In the world of agentic AI, human-in-the-loop oversight and regulatory compliance are no longer "nice-to-haves"—they are the marks of AI maturity. Ready to close the gap? Catch the full replay to see how teams are scaling AI with confidence: https://bit.ly/4mwxYLk

ICYMI🚨Here's what DataRobot was talking about this week: 🚧 The gap that's killing agentic AI: functionally complete vs. production ready 50 agents at 100K requests/day can run $50K/month. Context leaks under load. Multi-agent handoffs break without warning. Closing that gap takes more than a good demo. 📊 The Unmet AI Needs 2026 report is out — and the findings sting 94% of teams hit unexpected costs post-deployment. 7.3 months average from idea to production. The infrastructure for the agentic era still isn't there. 🏆 CRN's 20 Hottest AI Software Companies included: us! The market is catching up to what we've been building. 🤝 Trust is the currency that lets AI scale Debanjan Saha on why it compounds — and what that means for deployment speed, partnerships, and permission to grow. 🗺️ We just wrapped the DC, OKC & Tampa leg of the Dell ETC Roadshow 150+ Federal Field Sales experts. One clear takeaway: DataRobot + Dell infrastructure is how federal agencies win. 📍 DC again on May 7 — we're back to building hands-on How do you move agents from pilot to production? Come find out. See you next week. 👋

Your enterprise needs to move agentic AI pilots to real, scalable production. We'll show you how:

We just wrapped up an incredible roadshow circuit across DC, OKC, and Tampa 🤖 It was a privilege to connect with 150+ Dell Technologies Federal Field Sales experts and Channel Partners during the ETC Roadshow series. The takeaway: When we combine the DataRobot Agent Workforce Platform with Dell’s world-class infrastructure, federal agencies win.