Investor Alert

Oct. 30, 2019, 8:02 a.m. EDT

GridGain Announces Keynote Speakers and Sponsors for Fifth Annual In-Memory Computing Summit North America

Sponsors Include Oracle, Hazelcast, ScaleOut Software, IBM, Intel and Azul Systems

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FOSTER CITY, Calif., Oct 30, 2019 (GLOBE NEWSWIRE via COMTEX) -- GridGain Systems, provider of enterprise-grade in-memory computing solutions based on Apache Ignite(TM), today announced the keynote speakers and sponsors for the In-Memory Computing Summit North America, taking place November 13-14, 2019 at the Hyatt Regency San Francisco Airport. Experts from 24 Hour Fitness, IBM, Oracle, Hazelcast, the Storage Networking Industry Association (SNIA) and GridGain Systems will discuss how digital transformation, Big Data and Fast Data are driving the adoption of mature and new in-memory computing technologies and strategies such as HTAP, compute grids, NVDIMMs and more. The conference sponsors include Platinum sponsors Oracle, Hazelcast, and GridGain in addition to sponsors ScaleOut Software, Azul Systems, IBM and Intel.

Organized by GridGain Systems, the In-Memory Computing Summit (IMCS) is held annually in both Europe and North America. They are the only industry-wide events that focus on the full range of in-memory computing-related technologies and solutions. Attendees will learn about the role of in-memory computing in the digital transformation of enterprises and key technology advancements in in-memory computing solutions. The conference is attended by technical decision makers, business decision makers, architects, CTOs, developers and more who make or influence decisions about in-memory computing, Big Data, Fast Data, IoT and HPC solutions.

Keynote Speakers

Wednesday, November 13

Nikita Ivanov, Co-founder and CTO, GridGain Systems - "The Future of In-Memory Computing in a Rapidly Changing World"

In-memory computing is facing a rapidly evolving technology landscape. Cloud computing has been growing rapidly. Non-volatile RAM products are now widely available. At the same time, digital transformation is unleashing massive quantities of data, often streaming data, which requires real-time ingestion, processing and analysis. These evolving use cases are driving the deployment of hybrid in-memory computing architectures - known as HTAP, HOAP or Translytical - which support real-time transactions and analytics on the same data set. This keynote will lay out the path forward and the benefits for companies as the in-memory computing industry evolves to support these emerging technologies and use cases.

Mythili Venkatakrishnan, Distinguished Engineer, IBM - "Leveraging In-Memory Compute Grids with Core Systems of Record"

Increasing market pressures in key industries such as banking are leading enterprises to leverage in memory compute grids for efficient and flexible integration with core systems of record. In-memory compute grids implemented in this way can significantly accelerate a company's digital transformation journey through leverage of data and transactional gravity aligned with a modular approach. In addition, these open in-memory techniques enable the ability to easily flow more real-time insights across production core systems, distribution and servicing components to digital channels.

Tirthankar Lahiri, Vice President, Data and In-Memory Technologies, Oracle - "Autonomous Data Management: The Next Generation Data Platform"

The classic dilemma faced by a data architect is whether to use multiple single-purpose data management solutions for different use cases, or a single monolithic data management solution for all use cases. This presentation will review the pros and cons of these approaches, and then show how Oracle's machine learning-enhanced Autonomous Database enables a converged data management solution with in-memory computing, one that combines the benefits of both approaches without the drawbacks of either.

Thursday, November 14

Arthur Sainio, Co-Chair, SNIA Persistent Memory and NVDIMM Special Interest Group and Director, Product Marketing, SMART Modular Technologies - "How Persistent Memory Can Benefit Artificial Intelligence and Machine Learning Applications"

Persistent memory is being used to increase the performance of write-latency-sensitive applications, effectively providing a persistent storage model with DRAM performance. This keynote will discuss how NVDIMMs are an ideal solution for high-performance AI and ML servers.

Craig Gresbrink, Solutions Architect, 24 Hour Fitness - "Fitness + In-Memory Computing = Getting Ahead of the Game"

Over the past six years, 24 Hour Fitness has replaced its legacy systems with best-in-class cloud-based systems. Replacement of each piece of the application landscape has created opportunities to implement use cases with in-memory solutions, providing value to the business and ultimately to customers. This keynote will compare historical approaches to various use cases with in-memory solutions.


By sponsoring the In-Memory Computing Summit North America, organizations enhance their visibility and reputation as leaders in in-memory computing. They can interact with key in-memory computing business and technical decision makers, connect with technology purchasers and influencers, and help shape the future of in-memory computing. Current sponsors include:

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