AI-POWERED DATA OPERATIONS FOR MODERN DATA APPLICATIONS

whitePaper | June 3, 2021

Data growth continues at an exponential rate even as cloud architectures make data management more complex and advanced applications necessitate more data movement. So what can be done to enable clean data capture and movement across an enterprise? Read this white paper to learn the requirements for data orchestration at scale and discover how you can build a holistic data architecture that enables successful DataOps.

whitePaper | July 28, 2022

Data protection has become an integral and essential part of any successful business. The need to provide a powerful, scalable, and simple disaster and operational recovery solution is at an all-time high.

whitePaper | November 18, 2022

It’s time to treat data like a product, not an afterthought. A new paradigm has emerged among forward-thinking data teams: treat your data like a product. This may sound easy in theory, but it’s far from it! Product development processes have become incredibly sophisticated, with resources dedicated to reliability, adoption, feature roadmaps, and more.

whitePaper | August 25, 2022

This paper discusses how hybrid cloud and data analytics together enable new business value to be created in financial services organisations, proposes ways in which analytics can be embedded successfully and outlines how Atos, Microsoft and Dell EMC are collaborating to help bring these advantages about.

whitePaper | June 16, 2022

It seems like the business world has gone crazy for machine learning (ML) and artificial intelligence (AI), viewing the technologies as the essential keys to the very future of the enterprise. In fact, a recent survey from ESIThoughtLab found that two-thirds of business leaders see AI as critically important for their future. And yet, the respondents report that only 25% of AI projects are in widespread deployment and 40% of all projects are generating negative or no returns.

whitePaper | March 29, 2023

Migrating to a new analytics environment can be a complex, timeconsuming and resource-intensive undertaking. Significant investments have been sunk into existing analytic environments, and migrating to a new platform can involve months of effort. When organizations go to this level of effort and expense, ideally, they should achieve more than simply migrating the existing environment. A migration provides an excellent opportunity to look to the future, rethink the environment, and deliver new capabilities to the business that can improve efficiency and serve as a source of competitive advantage.