Featured Articles
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LinkedIn on the ‘Great Reshuffle’: Green skills, green jobs, and blind spots
LinkedIn embarked on an ambitious analysis of data from its nearly 800 million members worldwide…
Graph data science: What you need to know
Whether you’re genuinely interested in getting insights and solving problems using data, or just attracted…
Google sets the bar for AI language models with PaLM
Google’s new large language model (LLM) called PaLM (Pathways Language Model) is the first outcome…
Massaging AI language models for fun, profit and ethics
Do AI language models really demonstrate intelligence? What about morality? Is it ok to tweak…
Trustworthy AI: How to ensure trust and ethics in AI
A pragmatic and direct approach to ethics and trust in artificial intelligence (AI) — who…
Andrew Ng predicts the next 10 years in AI
Did you ever feel you’ve had enough of your current line of work and wanted…
How Netflix built its real-time data infrastructure
What makes Netflix, Netflix? Creating compelling original programming, analyzing its user data to serve subscribers…
The state of AI ethics: The principles, the tools, the regulations
What do we talk about when we talk about AI ethics? Just like AI itself,…
Working from home means working different hours, but not necessarily more
The National Bureau of Economic Research analyzed the side effects of remote work using data…
What will applied AI look like in 2022?
AI adoption has skyrocketed throughout the last 18 months. Besides Joe McKendrick, who wrote the…
2022 technology trend review, part two: AI and graphs
AI and graphs have a few things in common: they are multi-faceted, ubiquitous in their…
LinkedIn and Intel tech leaders on the state of AI
AI is on a roll. Adoption is increasing across the board, and organizations are already…