Unlock Business Value Through the Combination of Analytics and Artificial Intelligence

whitePaper | September 28, 2022

As the speed of enterprise operations surge and expectations for quick responses rise, decision making increasingly migrates from data centers to the network’s edge. Whether it’s on the shop floor, where busy production lines must not stand idle, a doctor in a surgical suite waiting for answers, a fire crew needing orders to fight a frantically advancing wildfire, scientists looking for insights that will help a recovering coral reef, or a retail environment where impatient customers wait for help in making a purchase, enterprises must configure their systems to collect information, to develop actionable insights, and to provide decisions or answers in real time.

whitePaper | March 8, 2020

On February 19, 2020, the European Commission (Commission) published proposals for the regulation of Artificial Intelligence (AI) with potentially far-reaching implications both for users and developers worldwide. The proposals are contained in a densely written 26-page “White Paper” which in this alert we distill down to 10 take-away points. The White Paper, together with the other strategy documents published at the same time1, is vital reading for any business which participates in the data economy, and in particular companies that operate across borders.

whitePaper | August 10, 2020

Data is the most important asset businesses have. As the world has become increasingly digital, data has grown in volume and value. In fact, this most valuable resource of modern society doubles in volume every year and that growth rate is likely to accelerate even further. Of course, this creates a challenge: how to store data securely and how to be sure that every operation with data is secured? Today loss of data means loss of everything: business, identity, future, and even life in some cases.

whitePaper | November 1, 2021

Robotics, automation, Internet of Things (IoT), and data are not new in manufacturing. Manufacturing is one of the most data-rich and first industries piloting artificial intelligence at the edge. It’s been estimated, however, that about 95% of all industrial data goes unused. The reason? Legacy equipment and operational systems that tend to be proprietary and siloed are incapable of communicating with each other.

whitePaper | August 26, 2022

Evolving data centers into intelligent hubs for digitized business processes poses numerous challenges for IT managers. Many organizations are already adopting hybrid IT concepts to make their data center operations more flexible. However, they also have to keep an eye on new requirements such as IoT, AI, blockchain, container technology as well as data security, legal regulations and climate change. How can all this be seamlessly integrated and managed? And, what will matter next for the data center of the future?

whitePaper | July 31, 2020

IT organizations face constant change. There’s the overarching transition to cloud, which raises questions about what workloads to move when. And there are application-level transitions imposed by vendors when they end support for older versions of software, forcing companies to upgrade. Microsoft SQL Server is swept up in both of these transitions. Organizations rely on SQL Server for everything from ERP to analytics, and thousands of them are running the 2008 or older versions that are now end of support.