Data Lakes or Digital Integration Hubs: Which one is better suited to solve the “IT GAP”?

By |2022-07-14T08:35:57+00:00June 30, 2022|

Enterprises, more than ever, require modernization of their backend and middleware architecture to improve performance for the digital age, facilitate lower TCO of their infrastructure, and optimize the moving parts of the IT and digital services departments. Becoming a digital leader with a strong emphasis on transaction affiliation and the [...]

Digital Integration Hub – Do It Yourself or Out-of-the-Box? The Best Option for your Data

By |2022-07-05T07:36:50+00:00June 14, 2022|

1, 2, 3…. Xn  - this is a very simple representation of the exponential growth in services and APIs with which an organization must contend. To store and process this data, most organizations start with a basic architecture that meets their requirements for their initial stages. Once they reach the [...]

IT teams, do you have what it takes? Accelerating digital applications on top of traditional systems

By |2022-05-02T13:47:51+00:00May 2, 2022|

As Covid-19 transformed society, IT departments scrambled to reshape operations and adapt the way they handle data management and access. One thing is sure – there is no going back to the way the world was per-Covid.  The genie is out of the bottle when it comes to how customers [...]

Accelerating Data Lakes for Faster, Smarter Insights

By |2020-10-06T10:20:36+00:00June 17, 2019|

We’re Living in a Data-Driven Eravoic Today, most organizations are focused on becoming data-driven, as they try to take advantage of data lake technologies, streaming and associated technologies for the processing of data in motion. This drive to become data-driven means increasing investments in data processing, analytics and machine learning [...]

How to Simplify and Accelerate Analytics and Machine Learning on Cloud, On-premise and Hybrid Environments with GigaSpaces and Red Hat

By |2020-10-09T09:57:39+00:00May 9, 2019|

Obtaining real-time insights and acting on them within a critical time frame, at scale and across any environment is a challenge for many enterprises. “Few (Enterprises) have embedded AI into standard operating processes in multiple business units or functions, and about one-third are only piloting the use of AI.” McKinsey [...]