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Getting to Know You: How Lippo Group Leverages a GPU Database to Understand Their Customers and Make Better Business Decisions

By Rebecca Golden | January 26, 2018

Lippo Group is a prominent conglomerate with significant investments in digital technologies, education, financial services, healthcare, hospitality, media, IT, telecommunications, real estate, entertainment and retail. Lippo Group has a large global footprint around the world, with properties and services not only in Indonesia, but also in Singapore, Hong Kong, Los Angeles, Shanghai, Myanmar, and Malaysia.…

On-Demand Self-Service Analytics for Your Organization

By Rebecca Golden | January 24, 2018

As GPUs become the standard compute fabric for the enterprise, we’re hearing more questions around operationalization of workloads on Kinetica.  For workloads which are unpredictable in terms of time, an always-on Kinetica instance makes complete sense.  However, for workloads which have predefined compute intervals and are ephemeral in nature, you may want to prop up…

Build Smarter Business Apps with a Modern GPU Database

By Rebecca Golden | January 19, 2018

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…

Drinking from the “Data Fire Hose”

By Rebecca Golden | December 19, 2017

I’m two weeks into my new role at Kinetica and I am drinking from the proverbial “fire hose.” Every day I’m reading about the technology explosion across business analytics, artificial intelligence, and big data platforms. The innovation is amazing, and what excites me more is the market opportunity driving it. The world is dramatically changing!…

How to Explain GPUs to Your CEO

By Andrew Wooler | December 13, 2017

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…