Kinetica to Host Webinar on Using an AI Database for Machine Learning and Deep Learning Featuring Research Analyst Michael Gualtieri

SAN FRANCISCO, Sept. 11, 2017 -- Kinetica, provider of the world’s fastest GPU-accelerated relational database, today announced it will host a live webinar featuring Forrester Research that will examine the potential and reality of AI, a demystification of the AI development lifecycle, and, finally, the characteristics of an AI database.

The webinar is titled, “Introducing The AI Database: A Prerequisite to Operationalizing Machine and Deep Learning,” and will be held on Wednesday, September 13 at 10:00 am PDT / 1:00 pm EDT.  Featured speakers will include Kinetica’s VP, Advanced Technology Group, Mate Radalj and guest Forrester Research VP and Principal Analyst, Michael Gualtieri.

To register, please visit here.

Pragmatic AI is here and the results are real for enterprises that know the ropes. Powerful predictive models, computer vision, and natural language understanding are a few of the applications that enterprises of all kinds can apply to a broad number of use cases. The good news is that much of the work to infuse applications with AI can be performed by data scientists and perseverant developers who are willing to learn new machine learning frameworks like TensorFlow on GPU systems. The incessant challenge is that AI needs powerful and performant data management and processing capabilities to support the full AI development lifecycle and quickly create accurate models.

Attend this webinar to learn:

• State of AI within enterprises – separating hype from the reality
• Practical considerations for successfully managing AI development life-cycles – differentiating factors, risks, and best practices
• How an AI database uses modern processors such as GPUs and next-generation CPUs to delivers the ease-of-use, scale, and speed to quickly train, deploy and manage machine and deep learning models

Kinetica will also host a webinar with NVIDIA titled “GPUs for Accelerating Analytics and Machine Learning” on September 14 at a time convenient for Asia-Pacific audiences. In the USA, this will be on September 13 at 7:00 pm PDT.  For more information and to register, please visit here.

About Kinetica
Headquartered in San Francisco, Calif., Kinetica is the provider of the only GPU database to combine data warehouse, advanced analytics, visualizations, and is optimized for running machine learning and deep learning models. With Kinetica, users can simultaneously ingest, explore, analyze and visualize fast-moving, complex data within milliseconds to make critical decisions and find efficiencies, lower cost, generate new revenue and improve customer experience. Customers in verticals such as financial services, retail, healthcare, utilities and public sector use Kinetica for fast OLAP, convergence of AI and BI, and geospatial analytics. Amazon, Cisco, Dell, Google, HP, IBM, Microsoft, NVIDIA and Tableau are part of the Kinetica ecosystem of cloud, hardware, server and software partners. Investors include Canvas Ventures, Citi Ventures, GreatPoint Ventures, and Meritech Capital Partners. Learn more at www.kinetica.com.

Media Contact:
Beth Winkowski
Winkowski Public Relations, LLC for Kinetica
978-649-7189
[email protected]