Osterman Research - Improve Performance of Microsoft Office 365

July 31, 2020

Microsoft 365 provides organizations with a range of efficient, new-style productivity and collaboration tools that are widely embraced across the world. However, Microsoft 365 comes with some shortcomings in certain key areas, such as security, auditing, archiving, backup and recovery, data protection, and more. Relying solely on the native capabilities in Microsoft 365 can lead to challenges, such as missed security threats and the inability to recover accidentally deleted data – all of which can be costly.

Spotlight

NetCentrics Corporation

NetCentrics Corporation leverages an innovative, agile, ‘what’s-next’ approach to our customers’ IT and cyber challenges. From digital transformation, data analytics, machine learning, and artificial intelligence, these key technologies, along with thought leadership, allow us to deliver solutions critical to mission success. As a recognized leader, we meet or exceed security posture expectations through forward thinking, and subject matter expertise.

OTHER WHITEPAPERS
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insideBIGDATA Guide to Optimized Storage for AI and Deep Learning Workloads

whitePaper | June 24, 2022

This new technology guide from DDN shows how optimized storage has a unique opportunity to become much more than a siloed repository for the deluge of data constantly generated in today’s hyper-connected world, but rather a platform that shares and delivers data to create competitive business value. The intended audience for this important new technology guide includes enterprise thought leaders (CIOs, director level IT, etc.), along with data scientists and data engineers who are a seeking guidance in terms of infrastructure for AI and DL in terms of specialized hardware. The emphasis of the guide is “real world” applications, workloads, and present day challenges.

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Powering the modern life insurance carrier with advanced AI and data

whitePaper | December 27, 2022

Welcome back to our white paper series about how to use AI and data throughout the new business and underwriting processes. In the first white paper we discussed the importance of product design and the benefits of using AI.

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Green Mechanical

whitePaper | April 16, 2020

Since its inception in 1983, Green Mechanical has grown from 1 to 3 offices, taking on larger, more complex projects. However, success came with its own unique challenges. With employees spread across multiple cities and states, Green Mechanical built custom workflows for various systems to ensure collaborators had access to the information they needed. That meant employees had to keep track of multiple remote logins to complete simple tasks like printing job cost reports. Additionally, some employees used digital processes, while others used pen-and-paper. As a result, teams were often working off outdated information.

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China’s Advanced AI Research

whitePaper | July 29, 2022

China is following a national strategy to lead the world in artificial intelligence by 2030, including by pursuing “general AI” that can act autonomously in novel circumstances. Open-source research identifies 30 Chinese institutions engaged in one or more of this project‘s aspects, including machine learning, brain-inspired AI, and brain-computer interfaces. This report previews a CSET pilot program that will track China’s progress and provide timely alerts.

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Growing your business with APIs.

whitePaper | January 15, 2022

An API is a set of routines, protocols and tools for building software applications. They are typically used to expose data or services that can be consumed by other applications. Depending on their purpose, APIs can be used internally, with partners or made available to the general public. This may not sound like something the average consumer cares about, but behind every mobile app and every modern online experience there is at least one API.

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Applying Artificial Intelligence to Built Environments through Machine Learning

whitePaper | January 5, 2020

Machine learning (ML) is an application of artificial intelligence (AI) that allows systems to automatically learn and improve from exposure to more data without being explicitly programmed. ML focuses on the development of computer programs that can access data and use it to learn for themselves.1 While AI represents the broader concept of machines being able to carry out tasks in an intelligent way, machine learning is a current application of AI based on the idea that we can give machines access to data, and they can use that data to learn for themselves.

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Spotlight

NetCentrics Corporation

NetCentrics Corporation leverages an innovative, agile, ‘what’s-next’ approach to our customers’ IT and cyber challenges. From digital transformation, data analytics, machine learning, and artificial intelligence, these key technologies, along with thought leadership, allow us to deliver solutions critical to mission success. As a recognized leader, we meet or exceed security posture expectations through forward thinking, and subject matter expertise.

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