In-Memory Computing Summit Silicon Valley 2018. Q&A Terry Erisman
What is the main theme of the fourth annual In-Memory Computing Summit North America?
The In-Memory Computing Summit North America 2018, taking place October 2 and 3 in Silicon Valley, is the only event held in North America focused on the full range of in-memory computing-related technologies and solutions. The theme of this year’s conference is “Powering the Digital Enterprise with In-Memory Computing.” The emphasis is on the role of in-memory computing in digital transformation and omnichannel customer experience initiatives. This includes the use of in-memory computing to support machine learning and deep learning use cases as well as the Internet of Things and other use cases which generate Big Data which must be ingested, processed and acted upon in real-time.
Situated in Silicon Valley at the Hyatt San Francisco Airport, the Summit features presentations by some of world’s leading in-memory computing experts. It is attended by technical decision makers, business decision makers, architects, CTOs, developers and more, making it the perfect forum for any organization trying to understand how to maximize the performance of their current applications or build their next-generation solutions.
What stood out for you from last year’s Silicon Valley Summit, and what are you most excited about for this year’s event?
The In-Memory Computing Summit 2017 in Silicon Valley was attended by nearly 400 registrants representing 200 organizations from 11 countries on 5 continents. More than 45 industry leaders delivered breakout sessions and five keynote addresses. Great speakers from Sberbank, Workday, SNIA, GridGain Systems and many more explored the future of in-memory computing, demonstrated the impact the technology is having on application performance, and provided insight and practical advice on a broad range of in-memory computing topics. Videos of the keynotes are available on the In-Memory Computing Summit 2017 website.
We are very excited about this year’s event because so much has happened in the industry over the last year, and the sessions will cover the range of in-memory computing developments and use cases. We also have another group of great speakers, including from American Airlines, ING Belgium, Salesforce.com, Agilent, Intel Corp., Oracle, Neeve Research, ScaleOut Software and more.
What experts are going to speak at this year’s event?
The speakers at this year’s North American conference have terrific stories to share across a range of technical topics, use cases and implementations. Just some of the speakers and topics include:
- Narendra Paruchuri, American Airlines – In-Memory Computing Patterns for High Volume, Real-Time Applications
- David Follen, ING Belgium – Exploring the Full Potential of Apache Ignite Using Classless Design
- Ravikanth Durgavajhala, Intel Corp. – Expansion of System Memory using Intel Memory Drive Technology
- Douglas Hood, Oracle – Using the World’s Fastest OLTP DB in the Cloud and On Premises
- Kevin Goldstein, Neeve Research – How IMC Powers Next Generation Trading
- Sam Drake, TimesTen Architect, Oracle – A Brief History of In-Memory Databases
- Praveen Innamuri and Zhidong Ke, Salesforce.com – How We Effectively Scaled the Contact Insights Computation From 0 Orgs to 20K Orgs with Our Spark Data Pipeline
- William Bain, ScaleOut Software – In-Memory Computing Brings Operational Intelligence to Business Challenges
- Dmitriy Setrakyan, GridGain Systems – Memory-Centric Architecture – A New Approach to Distributed Systems
How has the In-Memory Computing market changed with respect to last year?
Organizations in every industry continue to strive to obtain the performance, speed and scale they need for their digital transformation and omnichannel customer experience initiatives. We are especially seeing an increase in interest around the need to implement applications based on IoT and machine learning/deep learning. It’s exciting that there is also an ever-increasing recognition that in-memory computing is the key to enabling enterprises to cost-effectively achieve their goals of introducing new service-based business models, gaining better business insight, and improving customer engagement. The spread of in-memory use cases is reflected in the broad range of industries represented by breakout session speakers.
In-Memory Computing technologies have also advanced over the past year, including:
- The maturing of in-memory computing platforms that bring together multiple capabilities into a unified experience to simplify deployment and management.
- The evolution of memory-centric architectures that use a persistent store capability to enable the data in in-memory databases or in-memory data grids to be instantly available in case of a server restart and to allow tradeoffs between system performance and the amount of data held in RAM versus on disk.
- The introduction of continuous learning frameworks that can be deployed using integrated, fully distributed machine learning and deep learning libraries that have been optimized for massively parallel processing.
Terry Erisman, Vice President of Marketing, GridGain Systems