In this action-packed session we will examine several fast data business use-cases, along with technologies that are making solutions to meet high-velocity data challenges, while allowing for the integration of artificial intelligence, machine learning (AI/ML) and other algorithms during high-frequency/low-latency data processing. We will also explore and discuss the role of cloud-based deployments for these solutions.

According to a Forrester survey of businesses:

• 75% of organizations are considering data from IoT sources a high or critical priority
• Nearly 90% require data to typically be ingested and analyzed in a day
• 73% are using or planning to use machine learning (ML) for streamed data

In this era, batch processing for business intelligence (BI) is no longer a competitive option. High-velocity data is becoming one of the biggest challenges and opportunities for business today. It is highly-difficult to turn this ever increasing amount of data, along with the velocity of data streams, into real-time insights that provide competitive value to business; in this presentation you will learn how to address and overcome these challenges, and gain the BI insights that you need in real-time.

Joe Sherwin

Sr. Solution Architect,
Hazelcast

Joe Sherwin is a senior level Solution Architect at Hazelcast with 22 years of experience in the design, development and implementation of application systems within multi-tier distributed computing environments.

Working with clients such as Vanguard, Fannie Mae, Federal Reserve Bank, Citi Group, Bear Stearns, Fixed Income Clearing Corporation, Comcast Corp, Webster Bank, Gartner Group, The Hartford Life Company, IBM Global Services, Mass Mutual, Lincoln National Financial Corporation, Bank of America, and Barnes and Noble Online Group, Joe has been instrumental in the development of large-scale mission critical E-commerce, insurance and financial systems.

Joe has experience architecting and implementing solutions using CORBA, RMI, Java EE compliant distributed Object architectures and in-memory high transaction/low latency solutions using Hazelcast IMDG, GemFire, Ehcache & Oracle Coherence, and solutions deployable on IaaS or PaaS platforms like Cloud Foundry, Amazon Web Services, Rackspace and Heroku.