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Decentralized Intelligence, Data Precision, Cross-Industry Collaboration, and the Evolution of AI
Exploring AI's Impact in The Workplace
This Week on AI and The Future of Work: A Chat with Ray Wang, CEO of Constellation Research
When we take it back to the future of work, the smart organizations are going to realize when and where to insert a human. Aging populations are really going to need some level of augmentation, and AI will need to make up for all the work that cannot be done because the replacement of the population is not going to be there. We're going to go from 8 billion to 7 billion to 6 billion to... wait. How do we actually build a road? Who's going to be there to take care of seniors? How are you going to actually deliver teaching, right? Where do you learn your skills? So all of that is going to change. From a macro perspective, it's a great thing because we're aging out.
The goal here isn't more AI. The goal is actually to make better decisions, faster decisions, and more precise decisions. That decision velocity is where we're headed. So if, for example, a vendor decides this is going to replace two other vendors, that's great. But did you really get to better decisions? And if the answer is yes, then you've succeeded.
This week on the podcast, we feature R "Ray" Wang, CEO and founder of Constellation Research. Ray’s decades of experience in enterprise technology provide a unique perspective on how AI and digital transformation are reshaping industries.
With a career that spans consulting at Deloitte, leadership roles at Oracle and Peoplesoft, and groundbreaking research at Forrester, Ray has been at the forefront of AI’s evolution in enterprise software. As the host of Disrupt TV, a live-streamed show with over 130 million impressions monthly, Ray continues to engage audiences with forward-thinking insights that cut through the hype surrounding AI.
The Human-AI Dynamic: Why decentralized human intelligence is the ultimate model for AI and how human variability challenges centralized AI systems.
AI Readiness: The gap between visionary AI vendors and those struggling to meet market demands—and its impact on success.
Data Precision: How achieving precision varies across industries and why it’s crucial for AI-driven decision-making.
Cross-Industry Collaboration: A vision for a future where companies share data to improve inventory prediction, demand forecasting, and pricing strategies.
AI Maturity Levels: Ray’s breakdown of the five stages of AI maturity and what they mean for enterprise evolution.
Regulation and Bias: How cultural values influence AI regulation and the balance between centralized oversight and vendor self-assessment.
More than just a conversation about AI, this episode is a masterclass on how technology can drive better decisions, faster and more precisely. Ray’s insights offer actionable takeaways for organizations navigating today’s rapidly changing landscape.
Don’t miss this fascinating discussion—listen now!
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