Скачать или смотреть Future of Work Expert Insights | Tech Innovation with Angela Hood, Jeremy Fennema & Ram Srinivasan

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About This Episode 

In this compelling episode of The Future of Work® Podcast, we dive into the transformative intersection of artificial intelligence, human‑centered automation and workplace evolution. We’re joined by three industry trail‑blazers: Angela Hood, founder and CEO of ThisWay Global — a company that uses AI to mitigate bias, match talent and unlock human potential across thousands of organizations. Jeremy Fennema, a seasoned IT executive and fractional CTO, who brings over two decades of experience in digital transformation, agile innovation and applying AI inside enterprise workflows. And Ram Srinivasan, an executive consultant and AI adoption leader at JLL, MIT alumnus and author of The Conscious Machine, who explores how AI can amplify human potential rather than replace it.

Together, they unpack critical topics for the future of work — how remote/virtual and in‑office working models will co‑exist, why AI adoption is non‑negotiable for knowledge workers, how organizational practices must evolve to manage bias and human‑centered systems, what the shifting skillsets are for tomorrow’s workforce, and how companies can move beyond the hype of AI into measurable value.  

From talent sourcing and diversity ROI to developers, testers and QA in an AI‑augmented world, this conversation is rich with strategic insights and practical take‑aways for leaders, technologists and everyone working at the intersection of people and technology. 

What You’ll Learn
 
-Why remote and hybrid work models are no longer optional for knowledge workers, and how companies must be transparent about their policies. 
-How AI tools like code‑assistants are changing the role of developers and testers, and why quality assurance becomes more critical than ever. 
-The importance of diversity, bias mitigation and human‑centered automation in AI systems. 
-How generative AI (LLMs, large‑object models) is being applied as a general‑purpose technology across work, and how non‑engineers can adopt them. 
-Why resisting AI adoption means the risk of being bypassed in your career or organization. 
-How organizations should shift skillsets: developers become overseers of -AI‑generated code; testers become guardians of security and quality.
-The myth that you must be an AI engineer to use AI, and instead how you can become a “director” of AI tools.
-How talent matching and sourcing are being transformed by AI at scale, and what that means for HR and recruiting. 
-What it means to build human‑flourishing systems in the workplace of the future rather than simply automate for efficiency. 
-Practical steps leaders can take now to prepare their workforce, systems and culture for the AI‑driven future of work.

Read the transcript here:
https://allwork.space/2025/10/future-...
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