In today’s fast-paced world of “now,” combined with the exponential growth of data and connected devices (IoT), organizations strive to get from data to real-time insights to action at sub-second latency. Ingesting, aggregating and analyzing massive amounts of real-time data
In today’s fast-paced world of “now,” and the exponential growth of data and connected devices (IoT), organizations strive to get from data to advanced analytics to action with a latency of only sub-seconds. Those who successfully achieve this will gain
Today we can’t help but notice a rapid growth in adoption of Artificial Intelligence (AI) innovations across industries such as financial services, healthcare, transportation, telco and retail. As AI leads the next big wave in computing, many organizations are focused
Across all industries, machine learning and predictive analytics are being leveraged to build apps that create high-value markets. Join GigaSpaces and top industry leaders from ActiveViam, Intel, Crédit Agricole, and Capgemini for a panel discussion and drinks in Paris on
Join GigaSpaces and top industry leaders from Avaya, Intel and Capgemini in New York City on February 27th for our East Coast Insight-Driven Organization Event, where we will share insights and details about how In-Memory Computing helps industry leaders achieve instant
Industry leaders from Société Générale, Intel, CapGemni, and ActiveViam took the stage at our Insight-Driven Organization Event in Paris last week to share insights and details about their approach on how to become an insight-driven organization. The combination of thought
Join us on February 21, 2017 for an executive gathering to hear how GigaSpaces XAP helps Société Générale and ClubMed solve scalability and distribution challenges in their most demanding transactional applications while lowering total cost of ownership. Learn how ClubMed
In a typical large-scale banking operation, hundreds of systems process trades of different asset classes and markets. This is an expensive environment on which to innovate. There is still much to be desired when it comes to building resilient data-centric architectures.