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 →Salesforce Research: Knowledge graphs and machine learning to power Einstein
Explainable AI in real life could mean Einstein not just answering your questions, but also providing justification. Advancing the state of the art in natural language processing is done on the intersection of graphs and machine learning.
Read More →Graph data standardization: It’s just a graph, making gravitational waves in the real world
AWS, Google, Neo4j, Oracle. These were just some of the vendors represented in the W3C workshop on web standardization for graph data, and what transcribed is bound to boost adoption of the hottest segment in data management: Graph.
Read More →Open source AI chips making Green Waves: Bringing energy efficiency to IoT architecture
What if machine learning applications on the edge were possible, pushing the limits of size and energy efficiency? GreenWaves is doing this, based on an open-source parallel ultra low power microprocessor architecture. Though it's early days, implications for IoT architecture and energy efficiency could be dramatic.
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