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Recently published
The Future of Data Science and Analytics Work
Experts share their perspectives on how data science and analytics work is changing.
Webinars
The New Data Engineering Team
Experts explore how data engineering teams are changing in the age of AI.
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The Generative AI Career Masterplan
Authors of the book The Generative AI Career Masterplan share a practical masterplan for building a career in generative AI.
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Did AI Kill Cybersecurity?
Industry experts explore what AI really means for enterprise security.
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AI for Optimizing Customer Lifetime Value
Tobi Konitzer, VP of AI at GrowthLoop, shows you how to use AI to optimize customer KPIs and drive more effective go-to-market execution.
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Sovereign AI: Take Control of Your AI Stack
Experts explore what sovereign AI means in practice and how businesses can benefit from owning more of their stack.
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How TD Bank Is Building AI Talent
Shahd Alkhashashna and Jon Spence share how TD Bank designed and deployed its AI upskilling program.
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Use AI to Innovate in Financial Services
Rajesh Iyer and Madelaine Daianu explore what it really takes to innovate with AI in financial services.
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How Does AI Affect your ESG Goals?
Industry experts explore how AI intersects with ESG strategy.
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How to Create a Great UX While Vibe Coding
Experts explore how to create well-designed software while using AI-driven workflows.
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How to Use Physical AI in Manufacturing & Construction
Experts explore how physical AI is being applied in real-world manufacturing and construction environments.
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How Data & AI are Changing Soccer Analytics
Industry experts explore how data and AI are applied across the sport.
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Roll out Microsoft Copilot at Scale in Your Enterprise
Experts show you how to lead a successful Copilot rollout at enterprise scale.
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How AI is Changing Enterprise Search
Marin Smiljanic, the CEO at OmniSearch, and Christian Ward, the CDO at Yext, will explore how AI is transforming search across organizations.
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The Four Gaps Between Demo Agents and Production Systems
Yuval Belfer, a Senior Developer Advocate at AI21 Labs, will unpack the four key gaps that prevent AI systems from making it to production: validation, contextualization, latency, and decomposition.
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AI Use Cases in L&D
Experts explore practical ways to apply AI across learning programs.
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DataCamp Quarterly Roadmap 2026Q2
Claire Williams walks you through the upcoming roadmap for Q2.
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Claude in the Enterprise
Industry experts discuss what it takes to successfully introduce tools like Claude Code into enterprise environments.
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