COGNITIVE WORLD
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Since 2016, Cognitive World has been focused on the practical value of enterprise AI solutions.
Learn more about our purpose and our think tank.
COGNITIVE WORLD on FORBES features over a thousand editorial articles by our think tank and contributor members and our COGNITIVE WORLD think tank on VentureBeat features even more.
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Emerging Lens
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When I interviewed Professor Ben Zhao from the University of Chicago, I didn’t just learn about computers and AI. I learned about kindness, fairness, and standing up for people who are being hurt by technology. Professor Zhao was named in Time Magazine’s AI 100 List in 2024 for his amazing work, but what impressed me most was how much he cares about helping artists.
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Andrew Spanyi Meets with Alan Trefler to Discuss the Role of Mindset in Deploying AI Solutions Today
Andrew Spanyi met with Alan Trefler, the founder and CEO of Pegasystems, to discuss the state of AI and how enterprises can gain the most value in applying Gen AI today. They discussed a range of topics including the poor track record of Gen AI pilots, the importance of customer focus in deploying AI, the role of collaboration and Agentic AI, and that the fact is -- technology is not the real problem -- it’s mindset.
Andrew Spanyi met with Jim Sinur about the state of artificial intelligence (AI). Jim shared a couple of AI success stories - one in insurance and another in farming - which was refreshing since we hear so much about challenges with AI. When asked about the outlook for AI on the short to medium term, Jim discussed the likelihood of convergence. Jim Sinur was a former Gartner VP & Distinguished Analyst and is a member of Cognitive World’s Think Tank. His current focus is to help organizations thrive in the digital age. He also entertains people with his art and music.
Andrew Spanyi recently talked with Seth Earley about the state of AI in the enterprise. Seth shared his perspective on some of the challenges with AI and the importance of data in particular. He discussed the size of the gap between hype and actual performance in deploying AI, and the extent to which large language models (LLMs) may pose a threat to society in the medium term.
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The Health Data Dilemma: As artificial intelligence (AI) reshapes healthcare, ethical and effective health data management emerges as a pivotal challenge. One critical asset will determine the true potential of AI in healthcare: health data. This deeply personal information holds immense power to fuel groundbreaking innovation, drastically improve patient outcomes, and create profound value for individuals, healthcare professionals, and enterprises alike.
The promise of AI Agents is transformative – that's undeniable. But as enterprises race to adopt the Agent buzzword, we can't afford approaches that won't deliver on that promise. Perhaps the most dangerous misconception in enterprise AI today is that agents can simply be defined and managed through prompts alone. This prompt-centric approach creates fundamental challenges to implementing agents that enterprises must consider.
View think tank member Ganesh Padmanabhan’s Stories in AI.