AI and the Future of Work: Artificial Intelligence in the Workplace, Business, Ethics, HR, and IT for AI Enthusiasts, Leaders and Academics
Host Dan Turchin, PeopleReign CEO, explores how AI is changing the workplace. He interviews thought leaders and technologists from industry and academia who share their experiences and insights about artificial intelligence and what it means to be human in the era of AI-driven automation. Learn more about PeopleReign, the system of intelligence for IT and HR employee service: http://www.peoplereign.io.
AI and the Future of Work: Artificial Intelligence in the Workplace, Business, Ethics, HR, and IT for AI Enthusiasts, Leaders and Academics
312: Ray Wang, CEO of Constellation Research, On Decentralized Intelligence, Data Precision, Cross-Industry Collaboration, and AI’s Evolution
R "Ray" Wang, CEO and founder of Constellation Research, brings decades of insight into enterprise technology to our podcast. As the head of one of the most respected tech research firms, Ray has a unique vantage point on the intersection of AI and digital transformation. With a background spanning consulting at Deloitte, key roles at Oracle and Peoplesoft, and pioneering tech research at Forrester, Ray has witnessed firsthand the evolution of AI in enterprise software.
He’s also the host of Disrupt TV, a live-streamed show reaching over 130 million impressions monthly. Known for his thought leadership on platforms like CNBC, Fox Business, and Bloomberg, Ray explores the big picture of AI—highlighting how its decentralization, variability, and potential are reshaping the future of work.
In this conversation, we discuss:
- Why decentralized human intelligence serves as the best model for AI and how human variability challenges centralized AI systems.
- The gap between visionary AI vendors and those unprepared for market demands, and how this disparity impacts success.
- The challenges of achieving data precision for AI-driven decision-making and how it varies across industries.
- A future of cross-industry data sharing, where companies collaborate across value chains to better predict inventory, demand, and pricing.
- Wang's perspective on the five maturity levels of AI and what each level represents in enterprise evolution.
- How cultural values and biases shape AI regulation, and the tension between centralized oversight and allowing AI vendors to self-assess.
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