Moving from research to reality for deep learning and AI

May 2, 2019

Many of the available tools on the market were born from research environments, and the data science expertise required to use them is scarce and very challenging to recruit. But now, an emerging operational AI model is poised to change all this with a new generation of AI platforms that simplify the application of AI for industries and organizations.

Spotlight

Vulcan Cyber

Vulcan Cyber is the world's first continuous vulnerability remediation platform. We eliminate the most critical risks caused by vulnerabilities while at the same time avoiding any unexpected impact to business operations. Vulcan reduces dwell time from months to hours. Our comprehensive data collection aggregates data from dozens of scanning tools while its advanced exposure analytics deliver unprecedented insight into the true risk of existing vulnerabilities in the deployed enterprise stack.

OTHER WHITEPAPERS
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What Businesses with AI in Production Can Teach Those Lagging Behind

whitePaper | August 25, 2022

Businesses are in different stages with their artificial intelligence (AI) technologies. Even today, after many years of evaluating AI, only one third of organizations have actually put AI into production (31%1 ). Organizations that started somewhat later are currently prototyping their AI solutions (20%). Companies that only recently came on board with AI are experimenting with AI technologies for their business cases (25%). And a relatively large portion (24%) have only just begun evaluating AI for their business cases.

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Upcoming European AI Regulation: What to expect & how to prepare

whitePaper | July 20, 2022

In recent years, the use of AI in organisations has drastically increased. As a result, lawmakers around the world have been paying close attention to the developments in the field of AI too. While there is no comprehensive legal body in Switzerland and the EU that regulates the use of AI today, there are clear signs that Swiss and European organisations should prepare for stricter regulation.

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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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Bringing Job Costing to the Field

whitePaper | April 16, 2020

In construction, we are often designing and constructing made-to-order assets, so there is immediately less certainty. We may be dealing with multiple projects for different people, with different schedules, and run by different project managers. Each will be in a different location, with different site footprints, different ground conditions, different access routes, etc. And, partly influenced by their locations, we are often dealing with different suppliers we might select local designers, subcontractors, plant, materials, and product suppliers based on their proximity to the site.

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Low-Code Analysis

whitePaper | December 22, 2022

This study is promoted by Mobile World Capital Barcelona and NTT DATA in the framework of the Barcelona Digital Talent alliance. Mobile World Capital Barcelona is an initiative driving the digital advancement of society while helping improve people’s lives globally.

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HFS Enterprise AI Services Top 10

whitePaper | January 12, 2020

“The services market for artificial intelligence technologies is rapidly maturing on the back of several years of learning and a realization—delivering AI is unlike delivering any other technology thus far. Delivering on the promise of AI calls for far more collaboration between service providers, tech vendors, and enterprise clients.” The biggest differentiator in enterprise AI services, as described by most of the customer leaders, is the quality of people—not just the quantity available for a specific skill. Domain understanding and data engineering capabilities are top priorities. A culture of innovation, experimentation, collaboration, and co creation with customers is the key winning formula here.”

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Spotlight

Vulcan Cyber

Vulcan Cyber is the world's first continuous vulnerability remediation platform. We eliminate the most critical risks caused by vulnerabilities while at the same time avoiding any unexpected impact to business operations. Vulcan reduces dwell time from months to hours. Our comprehensive data collection aggregates data from dozens of scanning tools while its advanced exposure analytics deliver unprecedented insight into the true risk of existing vulnerabilities in the deployed enterprise stack.

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