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Business
Alation details its data intelligence strategy
Data quality, a subset of data intelligence, is a topic that many enterprise executives are…
Wayve and Microsoft partner to scale autonomous vehicles
Circa 2017, there was a lot of hype around autonomous driving. If one were to…
Viable aims to quantify qualitative customer feedback with AI
There is an implicit assumption in most analytics solutions: The data analyzed and the insights…
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…
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…
Technical
Trends in data and AI: Ben Lorica on cloud, platforms, models and Pegacorns
As Ben Lorica will readily admit, at the risk of dating himself, he belongs to…
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…
Top AI investors reveal State of AI in 2022
If you think artificial intelligence (AI) is moving at a breakneck speed and it’s almost…
4 AI research trends everyone is (or will be) talking about
Using AI in the real world remains challenging in many ways. Organizations are struggling to…
How to apply decision intelligence to automate decision-making
Decision intelligence is one of those terms that sound vaguely familiar, even if you’ve never…
What development of LLM best practices means for the enterprise
Large language models (LLMs) and multimodal AI are the cutting edge of AI innovation, with…
Socio-Technical
Averting the food crisis and restoring environmental balance with data-driven regenerative agriculture
Modern agriculture was broken long before pandemics, wars, supply chain disruptions, and fertilizer shortages. Regenerative…
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…
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…
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…
Use Cases
Optimizing hardware infrastructure with data and AI: Granulate scores $12 million Series A funding
How does boosting hardware performance between 20% and 80% sound? This is what startup Granulate…
Graph analytics and knowledge graphs facilitate scientific research for COVID-19
State of the art in analytics and AI can help address some of the most…
Data science vs the COVID-19 pandemic: Flattening the curve — but how?
Whether they are epidemiologists or not, a few people have attempted to use data and…
Machine learning vs payment fraud: Transparency and humans in the loop to minimize customer insults
What are customer insults, and what does machine learning have to do with it? False…
Data science vs social media disinformation: the case of climate change and the Australian bushfires
While a newly released World Weather Attribution study ties the Australian bushfires to anthropogenic climate…
Why autonomous vehicles will rely on edge computing and not the cloud
When driving a vehicle, milliseconds matter. Autonomous vehicles are no different, even though it may…