Data Management for Artificial Intelligence

May 20, 2019

Artificial intelligence is the science of training systems to emulate human tasks through learning and automation. With AI, machines can learn from experience, adjust to new inputs and accomplish tasks without manual intervention. The explosion in market hype around the term is closely tied to advances in deep learning and cognitive science, but AI spans a variety of algorithms and methods. It doesn’t require the flashiest new technologies to still be considered an AI application. As a topic of interest for years – from science fiction plots to futurists’ prophecies – the promise of AI has always been at the forefront of our minds. But what was once a distant vision is becoming reality as organizations embrace the value of AI now

Spotlight

Zdaly

More data will be created in 2017 than during the previous 20,000 years of humanity. Yet, less than 0.5% of all data is used for decision making. Historically, decision making was intuition driven due to lack of data; today it is still intuition driven due to data-overload. To stay ahead, decision-makers need the capability to consume vast amounts of data quickly, and not rely solely on intuition. Zdaly helps you achieve this by leveraging Artificial Intelligence to empower Human Intelligence.

OTHER WHITEPAPERS
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Draft Recommendations for The Development of the Net-Zero Data Public Utility

whitePaper | September 22, 2022

This report introduces the Climate Data Steering Committee (the Committee or CDSC)’s proposed recommendations for the development of an open data utility for climate transition-related data: the Net-Zero Data Public Utility (the Utility or NZDPU). The Utility is designed to be built as part of ongoing enhancements to the United Nations Framework Convention on Climate Change (UNFCCC)'s Global Climate Action Portal and will therefore also support increased integration of private sector commitments and actions within the UNFCCC stocktaking and recognition processes.

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The Future of Unstructured Data Processing

whitePaper | July 25, 2022

Experts estimate that the average person generates more than 1.7 MB of digital data per second, amounting to over 2.5 quintillion bytes per day. However, as the world becomes increasingly digitized and networked, experts predict that, on average, people will produce 463 exabytes of data per day by 2025.

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Four Reasons Your Metadata Is Broken

whitePaper | April 1, 2021

Metadata is more important now than ever. New technologies have enabled businesspeople who have traditionally not been analysts to work with data. The consumerization of IT means people expect systems to be intuitive and require little training. With so many people using data to support so many kinds of decisions, it’s critical that your data is described, defined, and understood.

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Fault-Tolerant Components on AWS

whitePaper | November 15, 2019

Fault-tolerance is the ability for a system to remain in operation even if some of the components used to build the system fail. Even with very conservative assumptions, a busy e-commerce site may lose thousands of dollars for every minute it is unavailable. This is just one reason why businesses and organizations strive to develop software systems that can survive faults. Amazon Web Services (AWS) provides a platform that is ideally suited for building fault-tolerant software systems. The AWS platform enables you to build fault-tolerant systems that operate with a minimal amount of human interaction and up-front financial investment.

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Big Data Analytics and privacy & data protection

whitePaper | August 31, 2022

The rise of Big Data and Data Analytics provides great opportunities for organizations to realize new ways of doing business and will give a significant increase in added value. Organizations that do not ‘catch the Big Data Analytics train’ run the risk of falling behind. According to the European Commission1 the value of European citizens’ personal data has the potential to grow to nearly € 1 trillion a year by 2020.

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A comprehensive guide to implementing Master Data Management with the Microsoft Intelligent Data Platform

whitePaper | December 28, 2022

For companies looking to innovate, minimize costs, and monetize new opportunities, how they drive value from their data estate is a determining factor in whether they succeed or fail. Similar to the speed, scalability, and efficiencies offered by Cloud computing, the ability for companies to do the same with their data operations – although not yet realized for most – will have a similar impact.

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Spotlight

Zdaly

More data will be created in 2017 than during the previous 20,000 years of humanity. Yet, less than 0.5% of all data is used for decision making. Historically, decision making was intuition driven due to lack of data; today it is still intuition driven due to data-overload. To stay ahead, decision-makers need the capability to consume vast amounts of data quickly, and not rely solely on intuition. Zdaly helps you achieve this by leveraging Artificial Intelligence to empower Human Intelligence.

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