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Business
Reducing cloud waste by optimizing Kubernetes with machine learning
Applications are proliferating, cloud complexity is exploding, and Kubernetes is prevailing as the foundation for…
The Ring Zero of real-time data processing: Redpanda scores $50M Series B funding to grow its streaming platform
Maintaining compatibility with the de-facto market standard while reimplementing and extending it. It’s easier said…
H2O.ai brings AI grandmaster-powered NLP to the enterprise
Hydrogen Torch, H2O’s latest product, is designed to deliver the AI capabilities of web giants…
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,…
Crypto industry status report: A multitude of blockchains
A new comprehensive report is out, using data science and analytics to slice and dice…
Technical
Streaming graph analytics: ThatDot’s open-source framework Quine is gaining interest
What do you get when you combine two of the most up-and-coming paradigms in data…
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…
StreamNative releases report with insights into data streaming ecosystem
The appeal of processing data in real-time is on the rise. Historically, organizations adopting the…
NVIDIA unveils Hopper, its new hardware architecture to transform data centers into AI factories
NVIDIA just announced Hopper, a new GPU architecture that promises significant performance improvements for AI…
Socio-Technical
Own your newsfeed, own your data
A guide to keeping all your news sources and items in one place We all…
What’s next for AI: Gary Marcus talks about the journey toward robust artificial intelligence
Gary Marcus is one of the more prominent, and controversial, figures in AI. Going beyond…
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.…
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,…
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…
Scientific fact-checking using AI language models: COVID-19 research and beyond
Fact or fiction? That’s not always an easy question to answer. Incomplete knowledge, context and…
Use Cases
Beyond experts: Jobs, tasks, and skills for a data driven Future of Work
Understanding and keeping track of the relationship between jobs, tasks and skills is essential for…
Data-driven disaster relief: Measuring the impact of emergency response
With natural disasters picking up in frequency and intensity, the role of NGOs in disaster…
Radio data and the future of broadcasters: Using attribution analysis to measure consumer behavior
Is it possible to determine how effective radio advertising really is? TagStation says yes, using…
The best programming language for data science and machine learning
Hint: There is no easy answer, and no consensus either. Arguing about which programming language…
AI-powered DevOps is how CA wants to reinvent software development and itself
How does non-deterministic software sound? Making data-driven software to help make data-driven software may seem…
Business analytics: The essentials of data-driven decision-making
Data shows that data-driven organizations perform better. But what does it take to get there?…