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 (291)
- Blockchain and Identity (62)
- Blogging (28)
- Cloud Computing (84)
- Complex Systems (687)
- Cybersecurity (26)
- Data Science and Big Data (281)
- Digital Money and Payments (68)
- Diversity (75)
- Economic Issues (801)
- Education and Talent (422)
- Future of Work (202)
- Healthcare Systems (53)
- Innovation (825)
- Management and Leadership (704)
- Media and Communications (43)
- Open Source (38)
- Political Issues (536)
- Services Innovation (286)
- Smart Systems (276)
- Society and Culture (900)
- Supercomputing (29)
- Technology and Strategy (742)
- Uncategorized (10)
- Various Other Subjects (20)
- Virtual/Augmented Reality (27)
- Web3 (10)
Subscribe to this blog via email
Category: Data Science and Big Data
-
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…
-
“Technical standards define guidelines and specifications across products, services, or systems to ensure consistency, compatibility, and quality,” said “The State of Open Standards,” a recent report by “Linux Foundation Research” in its Introduction. “They are fundamental in facilitating trade, ensuring product safety, and enabling interoperability between different technologies and systems. With such an interconnection of…
-
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'…
-
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…
-
“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…
-
“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…