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The Quality Imperative: Why Leading Organizations Proactively Evaluate Software and AI Systems, And How You Can Too
As enterprise systems shift from deterministic software to probabilistic AI, forward-thinking organizations leverage proactive quality assessment to maximize value, minimize…
AI / Machine Learning
The Quality Imperative: Why Leading Organizations Proactively Evaluate Software and AI Systems, And How You Can Too
As enterprise systems shift from deterministic software to probabilistic AI, forward-thinking organizations leverage proactive quality…
Knowledge Graphs as the essential truth layer for Pragmatic AI
Organizations are facing a critical challenge to AI adoption: how to leverage their domain-specific knowledge…
The Six Pillars of AI Literacy: From Regulatory Compliance to Hands-on AI
The clock for AI Literacy is ticking. Why should you act now, what are the…
Are we entering the era of Peer to Peer AI? Long views on AI, Part 3
“Please consider the advent of DeepSeek as a historical pivot to the era of ‘Peer…
AI Chips in 2025: The end of “more GPUs is all you need”?
It’s early 2025, and we may already be witnessing a redefining moment for AI as…
Reviewing 2024, Previewing 2025: Technology, Data, AI, Media, Interconnectedness, Graphs, and Cosmo-localism
As the year draws to an end, it’s a good time to take stock of…
Data / Analytics / Data Science
Democratizing data with Graph RAG: What it is, What it can do, How to evaluate it
What is Graph RAG, what can it do, and how do you evaluate it? By George…
Data Rules: From interoperability to commensurability
“Data Rules” is a book about data, but not just about big data crunching. A…
Universal semantic layer: Going meta on data, functionality, governance, and semantics
What is a universal semantic layer, and how is it different from a semantic layer?…
Neo4j partners with Microsoft, unfolds strategy to power Generative AI applications with cloud platforms and Graph RAG
From better together to full native integration, Neo4j is creating an ecosystem around all major…
Data management in 2024. Open data formats and a common language for a sixth data platform
What data management in 2024 and beyond will look like hangs on one question. Can…
Aerospike Graph: A new entry in the graph database market, aiming to tackle complex problems at scale
“Graph database growth is going strong through the Trough of Disillusionment.” And “Graph Analytics go…
Knowledge Graphs as the essential truth layer for Pragmatic AI
Organizations are facing a critical challenge to AI adoption: how to leverage their domain-specific knowledge…
Reviewing 2024, Previewing 2025: Technology, Data, AI, Media, Interconnectedness, Graphs, and Cosmo-localism
As the year draws to an end, it’s a good time to take stock of…
Democratizing data with Graph RAG: What it is, What it can do, How to evaluate it
What is Graph RAG, what can it do, and how do you evaluate it? By George…
Universal semantic layer: Going meta on data, functionality, governance, and semantics
What is a universal semantic layer, and how is it different from a semantic layer?…
Neo4j partners with Microsoft, unfolds strategy to power Generative AI applications with cloud platforms and Graph RAG
From better together to full native integration, Neo4j is creating an ecosystem around all major…
How LinkedIn is moving towards a skills-based economy with the Skills Graph
What is a skills-based economy and how is LinkedIn moving from vision to implementation? As…
Innovation
AI Chips in 2025: The end of “more GPUs is all you need”?
It’s early 2025, and we may already be witnessing a redefining moment for AI as…
What is the right balance between innovation and regulation in AI? Long views on AI, Part 1
What AI model maker would take the risk to make any powerful model if they…
Useful Sensors launches AI in a Box, aiming to establish a different paradigm for edge computing and TinyML
Would you leave a Google Staff Research Engineer role just because you want your TV…
AI politics: From pausing to regulating AI, it’s all about winning hearts and minds
“The Letter” was just the beginning. Welcome to the AI politics show. Grab some popcorn,…
Quantum computing pioneer D-Wave looks at the technology’s past, present and future
Quantum computing could be a disruptive technology. It’s founded on exotic-sounding physics and it bears…
Red Hat and IBM team up to enhance AIops with an open-source project
AIops is what you get when you combine big data and machine learning to automate…
Other Topics
The Quality Imperative: Why Leading Organizations Proactively Evaluate Software and AI Systems, And How You Can Too
As enterprise systems shift from deterministic software to probabilistic AI, forward-thinking organizations leverage proactive quality…
Reviewing 2024, Previewing 2025: Technology, Data, AI, Media, Interconnectedness, Graphs, and Cosmo-localism
As the year draws to an end, it’s a good time to take stock of…
Data management in 2024. Open data formats and a common language for a sixth data platform
What data management in 2024 and beyond will look like hangs on one question. Can…
LinkedIn’s feed evolution: more granular and powerful machine learning, humans still in the loop
LinkedIn’s feed has come a long way since the early days of assembling the machine…
Striim brings cloud-modernization tool to AWS
Can real-time technology help companies save during economic hardship? Alok Pareek thinks it can. Pareek…
Red Hat and IBM team up to enhance AIops with an open-source project
AIops is what you get when you combine big data and machine learning to automate…