How to implement AI solutions for immediate business outcomes
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The promise of AI is immense, yet many organizations struggle to move beyond pilot projects and achieve tangible returns. Are you finding it takes too long to get models into production, or are you stuck in "POC purgatory" with great ideas but no clear path to execution?
This webinar cuts through the complexity, offering a proven approach to transform your high-priority AI initiatives into real-world impact with speed.
You’ll learn how to:
- Accelerate the path from AI concept to production through expert-led implementation strategies.
- Equip internal teams with repeatable, high velocity development practices.
- Demonstrate immediate impact through incremental value delivery.
- Drive cultural adoption by aligning AI initiatives with mission priorities and day-to-day workflows.
Dylan Storey
Senior director, data science services
I am a scientifically minded leader with a background that includes microbial food safety research and a genome science PhD. I enable companies to build and maintain organizations and platforms for the capture and organization of data so that they may make better decisions based on evidence. My data work experience has been focused on empowering data-driven decision making and expanding data capabilities through training, technology, and process improvement. I have built high-performing teams that consistently deliver the highest throughput without burnout or churn, and I emphasize leadership by example and with empathy. I spent nearly a decade leveraging high performance computing to analyze and manage large, complex data sets in my academic research. My professional interests include process and decision automation through machine learning and common sense, software development, data engineering/architecture, and reproducible research. I earned my PhD from University of Tennessee and completed both my BS and MS at Cal State Fresno.
Andrew Coleman
Vice president of professional services
Andrew Coleman is VP of Professional Services, Global Support, and SRE at Domino Data Lab, where he leads global teams delivering AI/ML solutions to enterprise customers in highly regulated environments. Andrew specializes in secure platform implementations and AI/ML solutions for Fortune 100 companies operating under strict compliance requirements. He has deep expertise in software engineering, Professional Services, cloud architecture and has guided defense contractors and government agencies through MLOps engagements that meet stringent security and regulatory standards.