10 Ways We Can Steal Your Data

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 | 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 | January 8, 2020

AI in manufacturing is a game-changer. It has the potential to transform performance across the breadth and depth of manufacturing operations. However, the massive potential of this new Industrial 4.0 era will only be realized if manufacturers really focus their efforts on where AI can add most value and then drive the solutions to scale.

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.

whitePaper | September 23, 2022

According to the research published by Microsoft3 on Global Customer Service, 58% of customers feel the importance of Customer Experience (CX), and 61% stopped doing business with a brand due to poor CX and go for different brands.

whitePaper | July 20, 2022

The growing diversity of actors and circumstances involved in AI/ML deployment makes establishing a set of ethical participatory practices especially difficult for this field. Even among practitioners working at the same organization, there can be substantial differences in both their knowledge about how AI/ML systems were created or will be used and their ability to incorporate inclusive practices. Additionally, the greater availability of AI development platforms, including “no-code” platforms, means that algorithmic models can be deployed without having deep expertise, expanding the number of circumstances automated systems are deployed in. This means many more instances where automated systems are being deployed without consideration of how the algorithms were developed, the provenance of the datasets and nature of the bias on which they were trained and tested, and the ethical implications of their development and deployment.