Out of the Sandbox, Into the Lab:
Engineering AI Experiments with Intent & Business Impact
AI is full of promise, but right now, many teams are chasing it with guesswork. From inconsistent results to unscalable hacks, experimentation often lacks the structure needed to deliver ROI.

This talk introduces a battle-tested, scientific workflow that helps both technical and business teams align on outcomes, drive repeatability, and accelerate business impact with confidence. Whether you’re leading a dev team or guiding AI investment strategy, this talk will show you how to bring discipline - and meaningful progress - to your AI initiatives. Science is the fastest path to a real AI solution with impact, if you do it right.

Join us and start building AI that performs and delivers.

Friday, June 27, 12pm ET on Zoom
Who Should Join
    • Technical & product leaders
    • Engineering & research leaders
    • Innovation-focused execs
What  You'll Learn
      • Structure experiments with hypotheses
      • Isolate and control variables
      • Compare models and prompts
Why Attend
    • Eliminate wasteful AI cycles
    • Align tech with business ROI
    • Accelerate go-to-market clarity
Meet Dr. Rebecca Bilbro
Co-founder & CTO, Rotational Labs
Dr. Rebecca Bilbro, co-founder and CTO of Rotational Labs, is a trailblazer in applied AI and machine learning engineering. She co-created Yellowbrick, a Python library that enhances model diagnostics by integrating scikit-learn and matplotlib APIs, facilitating more intuitive model steering.

At Rotational Labs, Dr. Bilbro leads initiatives that empower companies to harness their domain expertise and data, resulting in the successful deployment of large language models and data-driven products. Her efforts have bridged the gap between data science and engineering, fostering the creation of innovative AI solutions. Dr. Bilbro earned her Ph.D. from the University of Illinois, Urbana-Champaign, focusing her research on domain-specific languages within engineering.
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