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August 31, 2016
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White Glove Technologies, now part of mindSHIFT Technologies, is a trusted technology advisor and leading provider of managed services for small and mid-sized organizations.
whitePaper | April 14, 2021
While the new era of remote work has provided some businesses with surprising productivity boosts as high as 13%, many are still struggling to secure their suddenly expanded network of remote endpoints and IT resources against a growing onslaught of cyberthreats.
whitePaper | March 30, 2022
Artificial Intelligence is one of the fastest growing technologies of the 21st century and accompanies us in our daily lives when interacting with technical applications. However, reliance on such technical systems is crucial for their widespread applicability and acceptance. The societal tools to express reliance are usually formalized by lawful regulations, i.e., standards, norms, accreditations, and certificates. Therefore, the TÜV AUSTRIA Group in cooperation with the Institute for Machine Learning at the Johannes Kepler University Linz, proposes a certification process and an audit catalog for Machine Learning applications.
whitePaper | November 23, 2022
The modern distributed workplace—including enterprises with thousands of branches and remote workers—requires updated approaches to cloud, networking, and security infrastructure. Cloud migration has opened the door to a huge increase in sophisticated applications, requiring networks that can carry traffic to an increasingly remote workforce. In turn, this creates a unique set of new requirements for security, including special capabilities to handle unpredictable locations of users, applications, and traffic flows.
whitePaper | October 18, 2022
The term Artificial Intelligence for IT Operations (AIOps) combines big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.
whitePaper | August 1, 2020
The majority of enterprise companies have hundreds of apps deployed in the cloud, and that trend is expected to continue, according to a new survey by IDG. That said, 52% of companies find that securing those apps continues to be challenging. But that doesn’t mean that the remaining 48% are fully confident in their cloud app security or are fully aware of all of the facets of cloud security they should be considering. “Cloud security is a broad issue,” says Jim Fulton, Director, Cloud & Edge Protection Solutions for Forcepoint. “From what I’ve seen, about 10% of companies really understand all of the facets.
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.
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