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Go to:Infusing business analytics based apps with AI isn’t easy. Today the world of AI is quite disconnected from the world of business analytics today. To converge the two, you need to master the entire AI pipeline, from data wrangling to modeling to actually operationalizing the models in order to deploy them within the application to…
It’s no wonder we are in the midst of a major IoT (Internet of Things) boom when you consider that IoT-enabled products can solve business problems and predict failures far faster than ever imagined. But all this potential is just theory if you don’t have enough processing power to analyze all of your data. Beyond…
<Hello world!> My name is Paul Appleby and I’m thrilled to be taking on the role of CEO at Kinetica. I couldn’t be more excited about the opportunity as how we manage data is at the epicenter of the 4th Industrial Revolution, impacting every industry and every region across the globe. When I was at…
What if you could hydrate billions of rows per minute from a data lake, as needed, into a powerful, flexible high-performance analytics speed layer? Hadoop and cloud-based object stores (such as S3 and ADLS) have become the de facto stores for the vast volumes of data generated by modern business. Query frameworks such as Hive,…
Today’s analytical workloads require faster query performance, advanced analysis methods, and more frequent data updates. Kinetica meets these needs with its GPU-accelerated analytical database for real-time insights on large and streaming datasets. We believe that there are still many people who might not know much about Kinetica. Are you one of them? Continue reading—there are…
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