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Fri, April 24DeepTech TechLead
As AI becomes integral to software development, keeping humans actively involved is essential for ensuring ethical, accurate, and context-aware systems. This session explores how continuous human guidance strengthens everything from chatbots to advanced AI agentic systems. It examines the current state of AI-driven development, where human oversight remains critical, and how it enables more responsible decision-making and complex problem-solving. The session also features a live demonstration of creating a governed chatbot using company-specific data, in just 60 seconds instead of six months, illustrating how human-in-the-loop design leads to faster, safer, and more trustworthy AI outcomes.
What You Will Learn
How to integrate human feedback loops into AI and software development workflows
The boundaries between automated and human decision-making in AI systems
A practical demonstration of rapidly building a governed, company-specific chatbot
Who Should Attend
AI developers, software engineers, data scientists, and technology leaders focused on building responsible, context-aware, and human-guided AI applications.
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Ari is Databrick's Global Head of Evangelism, and a leading influencer in AI, databases, and sports analytics. “The Real Moneyball guy”, the popular movie was partly based on Ari’s analytical and scouting experiences innovating Major League Baseball, and later creating the Cubs and Dodgers analytics departments. He is President of the Independent Investigation into the Fate of Raoul Wallenberg, Sweden's humanitarian hero. His background in data includes having been President of the worldwide Oracle users group when they acquired MySQL, Java, and Peoplesoft. He traveled the world with McLaren Formula 1, assisting the racing strategy team to bring AI models to production. Ari was named Caltech’s “Alumni of the Decade”, Crain Chicago’s “40 Under 40”, and IBM’s “Data Science Celebrity”, and the History Channel made a documentary on one of Kaplan’s analytical investigations.
