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How GPU-accelerated Modern Database Technologies are Shaping the Future of Data and Analytics

A joint event with : 451 Research

Fast, accurate, and actionable information is the lifeblood of business. Enterprises need to quickly turn raw data into actionable information and make it available to the right people at the right time for business success. Despite data’s promise, most enterprises struggle to harness the value due to performance, cost, and resource challenges. Newer solutions such as GPUs, distributed in-memory processing, and advanced in-database analytics have emerged to help enterprises capture, analyze, and act on data in real time. Kinetica provides businesses the fastest and most scalable GPU-accelerated, in-memory analytics database that’s used to solve real-world business and analytics problems for all types of data in motion and at rest.

Attend this webinar as Jim Curtis, Senior Analyst, 451 Research is joined by Kinetica’s Manan Goel, VP of Products, to learn:

  • Understand trends in the evolving database market and how GPUs are fitting in, enabling new commercial and consumer applications in databases, artificial intelligence, and real-time analytics
  • Why converging machine learning, deep learning, streaming and location analytics, and BI on one analytics database will benefit your business
  • How simultaneous high-speed data ingest and real-time analytics deliver actionable insights from streaming and IOT data
  • How to simplify data science and bring the power of advanced analytics to the business unit

James Curtis

James Curtis is a Senior Analyst for the Data Platforms and Analytics Channel at 451 Research. He has had experience covering the BI reporting and analytics sector and currently covers Hadoop, NoSQL and related analytic and operational database technologies.

James has over 20 years’ experience in the IT and technology industry, serving in a number of senior roles in marketing and communications, touching a broad range of technologies. At iQor, he served as a VP for an upstart analytics group, overseeing marketing for custom, advanced analytic solutions. He also worked at Netezza and later at IBM, where he was a senior product marketing manager with responsibility for Hadoop and big data products. In addition, James has worked at Hewlett-Packard managing global programs and as a case editor at Harvard Business School.

James holds a bachelor’s degree in English from Utah State University, a master’s degree in writing from Northeastern University in Boston, and an MBA from Texas A&M University.

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