Irving Wladawsky-Berger
A collection of observations, news and resources on the changing nature of innovation, technology, leadership, and other subjects.
RECENT POSTS
CATEGORIES
- Artificial Intelligence (271)
- Blockchain and Identity (61)
- Blogging (28)
- Cloud Computing (84)
- Complex Systems (675)
- Cybersecurity (24)
- Data Science and Big Data (276)
- Digital Money and Payments (68)
- Diversity (73)
- Economic Issues (782)
- Education and Talent (416)
- Future of Work (191)
- Healthcare Systems (53)
- Innovation (810)
- Management and Leadership (690)
- Media and Communications (43)
- Open Source (37)
- Political Issues (525)
- Services Innovation (285)
- Smart Systems (274)
- Society and Culture (881)
- Supercomputing (28)
- Technology and Strategy (728)
- Uncategorized (5)
- Various Other Subjects (20)
- Virtual/Augmented Reality (27)
- Web3 (10)
Subscribe to this blog via email
Category: Data Science and Big Data
-
Is AI a “Rational” Bubble?
No comments on Is AI a “Rational” Bubble?“In the expectation that artificial intelligence will be transformative, large American tech firms poured over $400bn into data centres and other necessary infrastructure during 2025; by one estimate, a staggering $7trn will be spent by the end of the decade,” wrote The Economist in its November 10 issue on “The World Ahead 2026.” “Yet revenues…
-
“As artificial Intelligence (AI) reshapes culture, science, labor markets, and the aggregate economy, experts debate its value, risks, and how quickly it will integrate into everyday life,” noted “The Longitudinal Expert AI Panel,” a recently published report. “Leaders of AI companies forecast transformative AI systems that cure all diseases, replace whole classes of jobs, and…
-
“In small factories across America, agile automatons are making everything from parts for AI supercomputers to the hulls of America’s future autonomous naval weapons,” wrote technology columnist Christopher Mims in a recent WSJ article, “America’s Manufacturing Resurgence Will Be Powered by These Robots.” “Once a luxury reserved for big manufacturers, smaller, smarter, more flexible and less…
-
A new report, “The State of Sovereign AI: Exploring the Role of Open Source Projects and Global Collaboration in Global AI Strategy,” was recently published by Linux Foundation (LF) Research, LF AI & Data, and Futurewei Technologies. “The term ‘sovereign AI’ has been used to describe efforts aimed at developing AI capabilities with minimal reliance…
-
In May of 2025, Linux Foundation Research, the Eclipse Foundation, and the open source community GOSIM jointly organized the Open Source AI Strategy Forum in Paris. The Forum aimed to address the critical challenges facing collaboration in open source AI with global experts from industry, academia, open source communities, and foundations. Two months later they published…
-
The September 16, 2023 issue of The Economist included a special focus on “How AI Can Revolutionize Science” with three articles on the topic. “Debate about artificial intelligence (AI) tends to focus on its potential dangers: algorithmic bias and discrimination, the mass destruction of jobs and even, some say, the extinction of humanity,” noted the issue’s…
-
“Organizations are beginning to create the structures and processes that lead to meaningful value from gen AI,” said “The State of AI — How organizations are rewiring to capture value,” a report published by Quantum Black, McKinsey’s AI unit, in March of 2025. The report noted that organizations are taking steps to drive gen AI’s…
-
In December of 2024, the IBM Institute for Business Value (IBV) released “5 Trends for 2025” a report that examined how business leaders can empower people to innovate in the age of AI without putting the business at risk. “2024 was a year of letting go,” said the report in its Introduction. “As a combination…
-
“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…
-
“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…