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Richie and Todd explore why fear quietly limits careers, treating failure as data rather than a verdict, the people skills that outlast raw IQ, using AI without losing your voice, building habits, escaping the success trap, and much more.
Experts share their perspectives on how data science and analytics work is changing.
Experts explore how data engineering teams are changing in the age of AI.
Authors of the book The Generative AI Career Masterplan share a practical masterplan for building a career in generative AI.
Industry experts explore what AI really means for enterprise security.
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.
Tom Nassr (CEO at XRAY) walks you through how to adopt and use Claude Skills in an enterprise setting.
Rhys Phillips, Marketing Manager at DataCamp, walks you through how to create Claude Skills from scratch with a marketing lens.
Richie and Reynold explore self-service analytics with Genie, the ontology layer that grounds AI in enterprise data, governance and permissions for AI agents, Lakebase and LTAP, real-time analytics, the future of Spark and classic machine learning, and much more.
Experts explore what sovereign AI means in practice and how businesses can benefit from owning more of their stack.
Richie and Dan explore why AI reliability has lagged behind capability, how hallucinations hide in plain sight, the limits of humans-in-the-loop and LLM-as-judge, building reliability into model architecture, agentic systems and verifiable actions, and much more.
Afi Gbadago shows you how to build a banking workflow application from the ground up using Django, MongoDB, and Voyage AI.
Shahd Alkhashashna and Jon Spence share how TD Bank designed and deployed its AI upskilling program.
Rajesh Iyer and Madelaine Daianu explore what it really takes to innovate with AI in financial services.
Anjali Jain, Enterprise AI Architect at Metro Bank, guides you through building a no-code AI banking agent.
Industry experts explore how AI intersects with ESG strategy.
Richie and James explore how AI scientist agents are already outperforming human experts, the Virtual Lab framework for teams of agents, a new training paradigm called learning to discover, scaling agentic systems, and much more.
Experts explore how to create well-designed software while using AI-driven workflows.