Kinetica, provider of the fastest, in-memory database accelerated by GPUs, today announced it will present on real-time analytics, GPU-enabled databases, data-centric accelerated computing, and accelerating analytics for finance this month in webinars with partners IBM and NVIDIA. It also launched a Bay Area GPU-Accelerated Computing Meetup with its first event at meetup with NVIDIA on January 25 in Santa Clara. Details on Kinetica presentations include:
Join IBM and Kinetica on this webinar to explore an unconventional approach to modern analytics. Ride the next wave of accelerated analytics by unleashing one of the most powerful, commercially available databases onto IBM’s data-centric accelerated server, providing real-time analytics for massive, complex and streaming datasets.
|When:||Thursday, January 19 at 1:00 PM CST|
|Where:||Webinar Registration Here|
|What:||Kinetica’s Eric Mizell, VP of global solution engineering, and IBM System’s David H. Coutts, Distinguished Engineer, OpenPOWER Technical Computing, will present, “In-Memory, GPU-Accelerated Database with Power changes the Game.” In this webinar, attendees will learn about a new category of database designed from the ground up to deliver truly real-time insights leveraging today’s GPU-accelerators and high performance architectures to deliver performance that’s 10-100x faster than even the most modern in-memory databases for OLAP workloads, geospatial visualization and integration with common AI frameworks. Learn how the death of Moore’s Law along with a shift to increasingly data-intensive workloads is causing many organizations to think beyond commodity servers for today’s modern data-intensive analytics workloads. Hear how applied real-time analytics is already having a significant impact across a variety of disciplines and industries.|
This group is for those excited about the revolution behind GPU computing and GPU-accelerated analytics. Kinetica started this group to connect and educate all who are interested in learning more about advances in GPU enterprise applications that deliver truly real-time actionable analytics. Meetups will take place in various venues in San Francisco and in the South Bay providing a chance to learn about new advances in GPU technology for the enterprise, discuss new applicable use cases, and create a community where people can collaborate and overcome modern data challenges through the power of the GPU.
Register to receive updates on future meetups here.
The first meetup will show how GPU computing has new applications in financial services, retail, energy, telco and healthcare to conquer supply chain, logistics, fraud detection, regulatory compliance, customer 360 and a wide range of other business challenges.
|When:||Wednesday, January 25 at 6:00 – 8:15 PM PST | Register|
|Where:||NVIDIA Building E (Marco Polo Room), 2770 Scott Blvd, Santa Clara, CA|
|What:||Kinetica’s Mark Brooks, principal solutions engineer, and Chris Prendergast, managing director of global business development and alliances, along with NVIDIA’s John Barco, sr. director Deep Learning and Analytics, and Charlie Boyle, sr. director product marketing, will discuss, “How GPU Computing Is Revolutionizing Real-Time Analytics.” At this meetup, attendees will learn how GPUs have evolved from being primarily a consumer-gaming focused component to having new business applications for real-time data analytics; brute-force compute power of GPUs enables high performance analytics without the need for extensive tuning, indexing, and partitioning; and businesses can leverage GPU computing to create significant improvements for visualization of geospatial and temporal datasets.|
Attend this webinar to learn how financial companies are using accelerated analytics to capitalize on big data.
|When:||Tuesday, January 24 at 10:00 am PST|
|What:||Kinetica’s Eric Mizell, VP of global solution engineering, and NVIDIA’s Charlie Boyle, sr. director product marketing, will be joined by featured speaker Gerald A. Hanweck, PhD, CEO and founder of Hanweck to present, “See How GPUs are Accelerating Analytics for Finance.” This webinar will discuss the impact of AI, Machine Learning and distributed computing within quantitative finance on calculating portfolio and lending risk, detecting fraud, and managing cyber threats. It will showcase the value of applying deep learning for more informed and automated trading decisions; discuss how aggregate queries on real-time transaction data can more accurately detect fraud; and demonstrate how calculating risk and exposure in real time vs. overnight can lead to higher profits.|
Kinetica helps many of the world’s largest companies solve some of the world’s most complex problems, including Citibank, GSK, OVO, Softbank, and Telkomsel, among others. The Kinetica Streaming Data Warehouse combines historical and streaming data analysis with powerful location intelligence and AI in a single platform, all easily accessible via API and SQL, for instant results. Organizations across automotive, energy, telecommunications, retail, healthcare, financial services, and beyond can load and analyze their entire collection of data simultaneously, delivering instant insight. 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.