AI in Corporate Legal - Meeting Challenges and Predicting the Future

July 4, 2019

AI is not just hype. According to a 2018 Gartner CIO survey, while only four percent of companies are using an AI solution, by 2030, AI will eliminate 80 percent of the work of today’s project management discipline, particularly mundane tasks like data collection, tracking, and reporting. Rather than eliminating jobs, however, AI is predicted to support business goals while helping workers become more efficient.

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Cubecorp

Cubecorp operates in the US and Latin America. We specialize in Enterprise Software Development, ERP Business Solutions and BPO, offering a broad array of technical and functional solutions and services. Cubecorp is your SmartSourcing partner for IT solutions.

OTHER WHITEPAPERS
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ARTIFICIAL INTELLIGENCE AT THE EDGE OF MANUFACTURING

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.

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Multilayered cybersecurity: part ofmodern cyber protection

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.

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THE INTELLIGENT ENTERPRISE FOR CARGO COMPANIES

whitePaper | November 15, 2019

The demands of running global supply chains can be unrelenting – perfection of operations, innovation in support of lastmile delivery, and assurances of sustainability in the pursuit of delivering the “perfect order” as promised. Now, transportation companies face the additional challenge of sharpening their core competencies while increasing the pace of innovation, adapting emerging technologies, and sharing data with their customers to improve transparency and efficiency. Long characterized by capital-intensive assets, forward-looking cargo companies are turning their attention to the data that comes from their own assets and infrastructure as well as from their customers. It is a complex transition, one that requires knowledge-based labor, automation, and predictive planning to turn transportation companies into digital platforms.

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WHY MACHINE LEARNING IS THE FUTURE OFPREDICTIVE AND INDUSTRIAL MAINTENANCE

whitePaper | July 10, 2020

There’s no arguing that preventing failures and accidents is critical for industry. Unexpected incidents can grind operations to a halt for extended periods of time and necessitate expensive repairs. Just 12 hours of downtime for an oil production platform could cost six to eight million dollars in lost production opportunity alone. A single day of grounding for a plane costs roughly four to five million dollars. Because of these disruptions, industrial sectors are always on the lookout for newer, better maintenance methods, and the approach on everyone’s lips right now is predictive maintenance. While everyone agrees on the name, there is less consensus on what it means or how to implement it. But to truly unlock the potential of predictive maintenance, it needs to be paired with artificial intelligence (AI) and machine learning (ML).

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Unpacking AI Procurement in a Box: Insights from Implementation

whitePaper | May 9, 2022

This document is published by the World Economic Forum as a contribution to a project, insight area or interaction. The findings, interpretations and conclusions expressed herein are a result of a collaborative process facilitated and endorsed by the World Economic Forum but whose results do not necessarily represent the views of the World Economic Forum, nor the entirety of its Members, Partners or other stakeholders

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What´s New in Denodo Platform 8.0

whitePaper | August 12, 2020

Denodo Platform 8.0 is a significant step forward in realizing the vision of a logical data fabric as a unified data delivery platform that bridges the gap between IT infrastructure and consuming business applications. Denodo Platform 8.0 is based on the same data virtualization technology that Denodo has developed over the years to unify data integration, metadata management, security, and data governance. Denodo Platform 8.0 greatly accelerates the delivery of governed data to all data consumers, in the most appropriate format for each, across multiple distributed heterogeneous systems

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Spotlight

Cubecorp

Cubecorp operates in the US and Latin America. We specialize in Enterprise Software Development, ERP Business Solutions and BPO, offering a broad array of technical and functional solutions and services. Cubecorp is your SmartSourcing partner for IT solutions.

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