Kinetica, provider of the instant insight engine for the Extreme Data Economy, today announced Chief Marketing Officer Daniel Raskin will speak about how businesses can thrive in the post big data era; and VP of Product Marketing Dipti Borkar will speak about using extreme data analytics powered by GPUs to achieve a 360-degree view of the customer at NVIDIA’s GPU Technology Conference (GTC) taking place March 26 – 29 at the San Jose McEnery Convention Center. Kinetica will also showcase its insight engine in Booth #720.
Speaking Sessions at GTC San Jose
“The Extreme Data Economy: How Businesses Thrive in the Post Big Data Era” Daniel’s session is scheduled for March 28th at 9:00 AM at GTC San Jose.
“We are in the post big data era, whereby the new enterprise imperative is to build the data-powered business,” said Raskin. “As more users, devices and things come online, we are facing a tsunami of unpredictable data that requires complex analysis and machine learning. The new normal requires companies to use instant insight engines to drive competitive differentiation. To enable this level of agility, companies require accelerated parallel computing and NVIDIA GPUs to bring unparalleled speed, streaming data analysis, visual foresight, and machine learning to break through the old data bottlenecks.”
In this session, Raskin will discuss new data-powered use cases businesses will need to address, as well as how advances in computing technology, particularly accelerated parallel computing, will translate data into instant insight and power business in motion.
“Delivering an Extreme Data Analytics API for a Customer 360 View Using the Power of GPUs” Dipti’s session is scheduled for March 28th at 4:00 PM at GTC San Jose.
“Big data analytic technologies have been around for several years, but the advent of GPUs has allowed for analytics to achieve intelligence in motion for customers. Kinetica’s insight engine leverages this brute force power to deliver enterprises a comprehensive, advanced analytical solution for streaming data, business intelligence and artificial intelligence,” said Borkar. “In fact, aggregating disparate data sources into a single view and providing ‘now’ analysis is a complex problem that can be solved today with the power of GPUs.”
In this session, Dipti will discuss how Lippo Group, one of the largest business conglomerates in Indonesia, was able to integrate data from multiple lines of business across several industries into a single insights engine, featuring an API layer with sub-second latency. She’ll discuss how their “deep and fast analytics” approach is opening up new opportunities for improved customer engagement for business in motion. Dipti will also share how Kinetica’s technology leverages the power of GPUs to deliver accelerated analytics, including a before and after architectural comparison of the deployment and query performance metrics.
Additionally, Kinetica can be found at Gartner Data & Analytics Summit on March 5 – 8 in Grapevine, TX; Strata Data Conference on March 6 – 8 in San Jose, CA; and at FinovateEurope on March 6 – 9 in London, UK.
Kinetica helps many of the world’s largest companies solve some of the world’s most complex problems, including the US Air Force, NORAD, USPS, Citibank, Telkomsel, MSI, OVO, and Softbank, among others. Kinetica is the first streaming data warehouse in the cloud to combine historical, streaming, and location data analysis at unparalleled performance and scale, for instant results.
Organizations across the public sector, financial services, telecommunications, energy, healthcare, retail, automotive,and beyond can load and analyze fast-moving data simultaneously, delivering instant insight. Kinetica offers flexible deployment, pricing, and support models across private and public clouds.
Kinetica has a rich partner ecosystem, including Dell, HP, IBM, NVIDIA, and Oracle and is privately held, backed by leading global venture capital firms Canvas Ventures, Citi Ventures, GreatPoint Ventures, and Meritech Capital Partners. For more information and to try Kinetica, visit kinetica.com or follow us on LinkedIn and Twitter.