Nvidia’s acquisition of Arm strengthens its ecosystem, brings economies of scale to the cloud, expansion to the edge
Nvidia is after a double bottom line in the AI chip market: Better performance and better economics. Arm's acquisition helps with the economies of scale in the data center and expands Nvidia's footprint to the edge
Read More →AI and automation vs. the COVID-19 pandemic: Trading liberty for safety
Reports on the use of AI to respond to COVID-19 may have been greatly exaggerated. But does the rush to pandemic-fighting solutions like thermal scanners, face recognition and immunity passports signal the normalization of surveillance technologies?
Read More →Graph, machine learning, hype, and beyond: ArangoDB open source multi-model database releases version 3.7
A sui generis, multi-model open source database, designed from the ground up to be distributed. ArangoDB keeps up with the times and uses graph, and machine learning, as the entry points for its offering.
Read More →Explainable AI: From the peak of inflated expectations to the pitfalls of interpreting machine learning models
We have reached peak hype for explainable AI. But what does this actually mean, and what will it take to get there?
Read More →Open source observability marches on: New Relic and Grafana Labs partnership brings benefits to developers
The perfect observability storm with open source leading the way, and a partnership that makes sense
Read More →Explainable AI: A guide for making black box machine learning models explainable
In the future, AI will explain itself, and interpretability could boost machine intelligence research. Getting started with the basics is a good way to get there, and Christoph Molnar's book is a good place to start.
Read More →Data governance and context for evidence-based medicine: Transparency and bias in COVID-19 times
In the early 90s, evidence-based medicine emerged to make medicine more data-driven. Three decades later, we have more data, but not enough context, or transparency.
Read More →Garbage in, garbage out: Data science, meet evidence-based medicine
Did you ever wonder how data is used in the medical industry? The picture that emerges by talking to the experts leaves a lot to be desired.
Read More →Graph Therapy. The Year of the Graph Newsletter Vol. 20, June / May 2020
Parts of the world are still in lockdown, while others are returning to some semblance of normalcy. Either way, while the last few months have given some things pause, they have boosted others. It seems like developments in the world of Graph are among those that have been boosted. An abundance of educational material on […]
Read More →Data Lakehouse, meet fast queries and visualization: Databricks unveils Delta Engine, acquires Redash
Data warehouses alone don't cut it. Data lakes alone don't cut it either. So whether you call it data lakehouse or by any other name, you need the best of two worlds, says Databricks. A new query engine and a visualization layer are the next pieces in Databricks' puzzle.
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