IWB Blog
A collection of observations, news and resources on the changing nature of innovation, technology, leadership, and other subjects.
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Category: Artificial Intelligence
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“Since OpenAI announced ChatGPT in November of 2022, many business executives have focused their attention on generative AI,” wrote Babson College professor Tom Davenport, and technology and business strategist Peter High in “How Gen AI and Analytical AI Differ — and When to Use Each,” an article published in the Harvard Business Review (HBR) issue of…
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“The emergence of generative artificial intelligence (AI) has attracted significant attention for its potential economic impact,” wrote economists Erik Brynjolfsson, Danielle Li, and Lindsey Raymond in a recently published article, “Generative AI at Work.” “Although various generative AI tools have performed well in laboratory settings, questions remain about their effectiveness in the real world, where…
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Wikipedia defines Agentic AI as “a class of artificial intelligence that focuses on autonomous systems that can make decisions and perform tasks without human intervention.” A recent IBM website, “What is Agentic AI,” adds that: “Agentic systems provide the flexibility of LLMs, which can generate responses or actions based on nuanced, context-dependent understanding, with the…
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Hard Fork is a weekly podcast from the NY Times that examines the impact of the latest developments in technology on the economy and society. The podcast is hosted by Kevin Roose, NY Times technology journalist, and Casey Newton, founder of the Platformer newsletter. A few weeks ago the podcast discussed Is AI a ‘Normal'…
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The 2025 AI Index Report was released in early April by the Stanford Institute for Human-Centered Artificial Intelligence, — it’s eigth annual analysis of the impact, progress, and trends of AI. Led by an interdisciplinary group of experts from across academia and industry, the AI Index report aims to be the world’s most authoritative source…
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“Our data is everywhere and powering everything,” noted “Pathways to Open Data,” a report by Linux Foundation Research published in March of 2025. “From marketing, to healthcare, to government services, to the emerging phenomenon of programming AI agents, organizations leverage data to be as efficient and effective as possible. However, data is often siloed within…
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After decades of promise and hype, AI has (finally) come of age. The 2010s saw increasingly powerful deep learning systems surpass human levels of performance in tasks like image and speech recognition, skin and breast cancer detection, and winning at championship-level Go. The 2020s saw the advent of generative AI systems, with their impressive ability…
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“Until the early 2000s, paper maps did not exist — they were simply called maps” wrote Reid Hoffman and Greg Beato in “Informational GPS,” one of 12 essays in The Digitalist Papers, a roadmap of the possible futures that the AI revolution might produce. Before May of 2000, the Global Positioning System (GPS) was deliberately limited…
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I’ve been following the evolution of AI since the 1970s, especially the more recent era of data-centric AI systems based on highly sophisticated models trained with large amounts of information and powerful computer technologies. We were wowed when in 1997 Deep Blue won a celebrated chess match against then reigning champion Gary Kasparov, — one…
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“AI is changing the cost and availability of expertise, and that will fundamentally alter how businesses organize and compete,” said “Strategy in an Era of Abundant Expertise,” a Harvard Business Rreview (HBR) article by Harvard Business School professor Karim R. Lakhani and Microsoft corporate strategists Bobby Yerramilli-Rao, John Corwin, and Yang Li. At its most…