We have been automated, what to do in 2026? - Christophe Blefari - Nao Labs
Автор: ForwardDataConf
Загружено: 2026-01-05
Просмотров: 453
🔥 How is AI automation impacting entry-level data and engineering jobs, and what are the implications for career paths?
🔥 What is an AI agent, how does it function as a "Y loop on top of token interpretation," and how does it orchestrate tasks?
🔥 Why is "context engineering" the crucial skill for data professionals in 2026, and what elements should it encompass?
Christophe Blefari, co-founder of Nao Labs with a decade of experience in data engineering, tackles the pressing question of AI's impact on data professions. His talk explores how AI automation is reshaping the landscape, from code generation to data analysis, and what strategies data professionals should adopt to thrive in 2026, focusing on "context engineering."
PS: Did you know Jeff Bezos predicts the end of most careers, with only workers who can invent and generate original ideas remaining valuable?
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🎬 CHAPITRES
00:00:00 Introduction: AI Automation and the Future of Work
00:41:00 The Automation Landscape: Claims and Figures
03:20:00 Automated Tasks and the Rise of AI Agents
06:24:00 Understanding AI Agents: Structure and Orchestration
09:47:00 Daily Tasks of Data People and the Quest for Self-Service
14:50:00 What to do in 2026: The Importance of Context Engineering
19:10:00 Conclusion: Creativity, Learning, and the Human Element
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TITRES ET HASHTAGS ===
AI Automation & Data Jobs: What's Next for Data Professionals? Hashtags: #AIAutomation #DataCareers #FutureOfWork #ContextEngineering #DataStrategy
Mastering AI Agents: The Y Loop & Context Engineering for Data Teams Hashtags: #AIAgents #DataEngineering #LLMs #SemanticLayer #DataModeling
Thriving in 2026: Creativity, Context, and the Evolving Data Landscape Hashtags: #DataSkills #AIImpact #Innovation #DataCulture #NaoLabs
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