The state of AI in 2019: Breakthroughs in machine learning, natural language processing, games, and knowledge graphs
A tour de force on progress in AI, by some of the world's leading experts and venture capitalists.
Read More →Salesforce open sources research to advance state of the art in AI for common sense reasoning
Deep learning is great for many applications, but common sense reasoning is not one of them. New research from Salesforce promises to alleviate this, advancing previous results by a considerable margin.
Read More →Getting your corporate data ready for prescriptive analytics: data quantity and quality in equal measures
Good news: there's nothing special about getting your data ready for prescriptive analytics. Bad news: you need to do what's needed to get your data ready for any type of analytics – and that's hard work.
Read More →A guide for prescriptive analytics: The art and science of choosing and applying the right techniques
Prescriptive analytics is nothing short of automating your business. But there's lots of hard work, and many stages you need to go through before you get there.
Read More →Breaking up Facebook? Try data literacy, social engineering, personal knowledge graphs, and developer advocacy
Yes, Facebook is a data-driven monopoly. But the only real way to break it up is by getting hold of its data and functionality, one piece at a time. It will take a combination of tech, data, and social engineering to get there. And graphs — personal knowledge graphs.
Read More →A standard for storing big data? Apache Spark creators release open-source Delta Lake
From data lakes to data swamps and back again. Data reliability, as in transactional support, is one of the pain-points keeping organizations from getting the most out of their data lakes. Delta Lake is here to address this.
Read More →Google Cloud gives open-source data vendors a break. Will that save open source?
Google will give open-source data vendors that offer their software on Google Cloud a share of the proceeds. It's a good move, and a good thing. But there's more than meets the eye here.
Read More →Safety in data: Implementing data-driven road safety
Using data to improve road safety sounds like a good idea, but the devil is in the details.
Read More →The new Cloudera-Hortonworks Hadoop: 100 percent open source, 50 percent boring
How do you bring Hadoop to the AI, hybrid, and multi cloud era, making it so easy to use and reliable that it's boring? How do you build a sustainable business doing that, while switching to a 100-percent open source model? The new Cloudera raises more questions than it offers answers at this point
Read More →Nvidia GPUs for data science, analytics, and distributed machine learning using Python with Dask
Nvidia wants to extend the success of the GPU beyond graphics and deep learning to the full data science experience. Open source Python library Dask is the key to this.
Read More →