KeywordsAI, HR technology, product strategy, user expectations, data strategy, automation, innovation, user interface, regulation, contextual intelligenceSummaryIn this episode of the HR Tech Scale-Up Show, Howard Flint and Olivier Vidal discuss the integration of AI in HR technology. They explore the evolving user expectations, the importance of data strategy, and the challenges faced by legacy systems in adapting to AI. Olivier shares insights on innovative AI platforms and the need for HR tech founders to focus on unique assets and user journeys to leverage AI effectively. The conversation also touches on the regulatory landscape and the importance of building trust in AI solutions.TakeawaysAI is not just about language models; it's a broader spectrum.User expectations are evolving rapidly with AI capabilities.You don't have an AI strategy until you have a data strategy.Building unique features requires leveraging unique data assets.AI-first platforms differ fundamentally from traditional software.Trust and regulation are critical in the AI landscape.Innovative platforms are focusing on outcomes rather than just software.User interface design is crucial for engagement in HR tech.Legacy systems need significant re-engineering to integrate AI.Understanding user journeys is essential for effective AI application.Sound Bites"AI is a strategy, there is a set""What unique assets do we have?""User expectations are the sky"Chapters00:00Introduction to AI in HR Technology02:46Understanding AI Beyond Language Models05:32User Expectations and AI Integration08:14The Push vs. Pull of AI Development10:33Examples of AI-First Platforms13:12User Interface and Experience in HR Tech15:29Re-engineering Legacy Systems for AI16:32Architecture Differences in AI Platforms18:37Data as a Core Asset in AI Strategy21:14Trust, Risk, and Regulation in AI23:24Key Takeaways for HR Tech Founders

Ver todos los episodios