Semantics and virtualization, data integration and data governance on the way to the cloud
It's official – data analytics is swiftly moving to the cloud. AtScale is facilitating this, and CEO Chris Lynch shares his insights the hows and whys, in light of the unveiling of AtScale's Adaptive Analytics 2020.1
Read More →DevOps and observability in the 2020s
What do the data tell us on the direction modern software development is going? Cloud, open source, machine learning — it's all here, but blind spots remain.
Read More →Quantum Orchestration Platform: A virtual machine for quantum computing
Startup Quantum Machines unveils what could be a key to accelerating quantum computing adoption, already used in production
Read More →5 technology trends for the roaring 20s, part 1: Blockchain, cloud, open source
Data is changing the paradigm in everything from business to social interactions. Here is what will shape the data landscape for the years to come.
Read More →Deep Learning Software vs. Hardware: NVIDIA releases TensorRT 7 inference software, Intel acquires Habana Labs
NVIDIA's software library latest release brings significant performance improvements, which NVIDIA says enable conversational AI. But Intel is stepping up its game too, by acquiring Habana Labs, an AI chip startup that promises top performance on the hardware level.
Read More →K is for Knowledge: Application and data integration for better business, using metadata and knowledge graphs
Being disrupted by Big Tech is one of the greatest concerns for any business. Good news: There may be a path to accelerate digital transformation and out-compete Big Tech, by leveraging domain knowledge.
Read More →Logz.io moves toward application observability in the cloud, raises questions on open source
Logz.io unveils its cloud offering for infrastructure monitoring based on open source platforms Elastic and Grafana. Its strategy may give it an edge, but also raises open source sustainability questions
Read More →NVIDIA GPUs now work with Arm processors, Magnum open source I/O accelerates data workloads for AI
NVIDIA expands its ecosystem, flexes its software muscle, and takes a bet on new processors, workloads, and use cases. The developments paint a new picture in the AI chip race in the cloud and the edge.
Read More →Want to discover the knowledge graphs in your enterprise data? Siren just secured $10 Million to help do that
Siren promises the benefits of knowledge graphs, without the hassle of reinventing your existing data management and infrastructure
Read More →The O word: do you really need an ontology? The Year of the Graph Newsletter: November / October 2019
How do you manage your enterprise data in order to keep track of it and be able to build and operate useful applications? This is key question all data managements systems are trying to address, and knowledge graphs, graph databases and graph analytics are no different. What is different about knowledge graphs is that they […]
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