Nvidia doubles down on AI language models and inference as a substrate for the Metaverse, in data centers, the cloud and at the edge
At Nvidia's GTC event today, CEO Jensen Huang made announcements the company claims have the potential to transform multi-trillion dollar industries. We cherry-pick from the announcements, focusing on the hardware and software infrastructure that powers the applications that make the headlines.
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 →From big data to AI: Where are we now, and what is the road forward?
It took AI just a couple of years to go from undercurrent to mainstream. But despite rapid progress on many fronts, AI still is something few understand and fewer yet can master. Here are some pointers on how to make it work for you, regardless of where you are in your AI journey.
Read More →The past, present, and future of streaming: Flink, Spark, and the gang
Reactive, real-time applications require real-time, eventful data flows. This is the premise on which a number of streaming frameworks have proliferated. The latest milestone was adding ACID capabilities, so let us take stock of where we are in this journey down the stream — or river.
Read More →Controversy, thy name is Europe: Open credit scores, data-driven counter-forensics, and the regulation debate
Europe's biggest digital culture festival raises questions beyond the use of data.
Read More →The future of the future: Spark, big data insights, streaming and deep learning in the cloud
Apache Spark is hailed as being Hadoop's successor, claiming its throne as the hottest Big Data platform. What the founding fathers of Spark are saying and doing about its future and its positioning in the market has never been more timely.
Read More →Data Works, Hadoop 3.0 is round the corner, and ‘Horton Hatches the Egg’
What's coming in Hadoop 3.0? How is Hortonworks' strategy evolving? And what are some examples of open-source powered innovation in big data use cases?
Read More →Artificial intelligence in the real world: What can it actually do?
What are the limits of AI? And how do you go from managing data points to injecting AI in the enterprise?
Read More →What IBM, the Semantic Web Company, and Siemens are doing with semantic technologies
Defining semantics is a matter of semantics, not less so in the Big Data space.
Read More →Hadoop moving forward: a sneak peek at security & performance
As Hadoop is steadily making its way to the enterprise, the bar is raised in many ways. Since two of the most obvious requirements to be able to make it there are security and performance, i cherry-picked some related announcements made recently – shortly before and after Hadoop Summit, the biggest Hadoop event of the […]
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