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 →Streamlio, an open-core streaming data fabric for the cloud era
Apache Kafka replacement and beyond. This is open-core Streamlio's claim to fame, and today's announcement of a managed cloud service brings it one step closer to reality.
Read More →For CockroachDB, transactions first, then analytics is a feature — not a bug
An open-source database that is resilient, supports automatic geo-scaling on-premise and in the cloud, and SQL. CockroachDB already is all that. Next in the roadmap: Analytics, with Hybrid Transactional Analytical Processing.
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.
Read More →2019 will be another ‘Year of the Graph’: OpenCorporates is evidence No. 1
Graph databases are crossing the chasm to mainstream use cases, adding features such as machine learning to their arsenal and becoming more cloud and developer friendly. Last year was a breakout year, and graph database growth and evolution is well under way in 2019.
Read More →Habana, the AI chip innovator, promises top performance and efficiency
Habana is the best kept secret in AI chips. Designed from the ground up for machine learning workloads, it promises superior performance combined with power efficiency to revolutionize everything from data centers in the cloud to autonomous cars.
Read More →Confluent shows open source, paradigm shifts, cloud, and commercial success can all co-exist
Confluent just became a unicorn. We discuss why, what happens from now on, and how this is significant for the entire data ecosystem and the world at large with CEO Jay Kreps
Read More →Alibaba Blinks: Building an open source, data-driven cloud empire in real-time
Acquiring data Artisans, the vendor leading development of open source Apache Flink framework for real-time data processing, is the latest move from Alibaba. Where does this fit in Alibaba's strategy to grow its cloud?
Read More →Data, crystal balls, looking glasses, and boiling frogs: Reviewing 2018, predicting 2019
Data gets flexible. Machine learning reigns supreme and transforms everything, including software and hardware. Regulation, governance and licensing interplay with the brave new data world. The years of the graph are only getting started. And frogs are boiling. These are the trends shaping the software, hardware, data, machine learning and AI landscape
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