Your Predictive Foundation Is the Shortest Path to Agentic AI
Every week, another vendor promises that agents will replace everything you’ve built. Meanwhile, the AI teams actually shipping agents into production are doing the opposite, they’re building directly on top of the data pipelines and predictive systems they’ve governed and monitored for years.
That’s not an accident. Production agents need data pipelines, lineage, evaluation frameworks, and guardrails. The enterprises that already did the hard work of operationalizing predictive AI have a head start that’s impossible to fake.
What you’ll learn:
- Why predictive AI is the load-bearing architecture underneath durable agent workflows, not a legacy system to retire
- How leading enterprises are turning years of predictive investment into the launchpad for a governed agent workforce, no reset required
- What the Dell AI Factory with NVIDIA makes possible when agent workloads need to run at enterprise scale on infrastructure you control, on-premise, hybrid, or air-gapped
- The governance and evaluation patterns that separate production agents from perpetual pilots
- A live look at how the DataRobot platform connects predictive models to multi-agent orchestration
Who should watch:
- CIO, CTO, Head of AI
- Chief Data Officer
- VPs of AI/ML, Data Science, Platform Engineering
- ML Engineers, AI Architects
The generative AI space is changing quickly, and the flexibility, safety and security of DataRobot helps us stay on the cutting edge with a HIPAA-compliant environment we trust to uphold critical health data protection standards. We’re harnessing innovation for real-world applications, giving us the ability to transform patient care and improve operations and efficiency with confidence
DataRobot provides us with innovative ways to test new ideas. Given a problem and a dataset, DataRobot allows us to generate multiple prototypes 20% faster. And the process facilitates the learning evolution of our data scientists.
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