Business Intelligence, Big Data Management

Better together: AVEVA™ Predictive Analytics and the AVEVA™ PI System™ maximize mining plant ROI

December 23, 2022

Better together: AVEVA™ Predictive Analytics and the AVEVA™ PI System™
From volatile markets and tough competition to the increasingly stringent demands of government regulators and customers alike, there’s no shortage of challenges ahead for the mining industry. To navigate these obstacles and others all while improving profitability, mining companies are seeking innovative ways to optimize the reliability, efficiency, and safety of their operations. Many industry leaders are already finding the answers they are looking for in their operations data.

Spotlight

AlgonoX Technologies

Every business needs 'Cognitive Automation' to become future ready. We at Algonox, help businesses re-imagine their processes/operations through the powerful interplay of mainstream automation with cognitive capabilities of Artificial Intelligence and Machine learning.

OTHER WHITEPAPERS
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Build Modern Data Streaming Analytics Architectures on AWS

whitePaper | December 1, 2022

Amazon's trademarks and trade dress may not be used in connection with any product or service that is not Amazon's, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon.

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Implementing a Modern Data Catalog to Power Data Intelligence

whitePaper | August 9, 2022

This report shows you how a data catalog can help you easily find and then use the data you need.

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Top 5 Trends in Data & BI Governance

whitePaper | August 19, 2022

Metric Insights recently partnered with Donna Burbank on a webinar on trends for Data & BI governance in 2022. Burbank is the managing director at Global Data Strategy, Ltd., an international information management consulting company that specializes in the alignment of business drivers with data-centric technology.

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How AI-Powered Analytics Transforms LIMS Data into Valuable,Action-Ready Insights

whitePaper | December 5, 2022

When modern LIMS software overtook traditional paper-based record-keeping in the lab, operations in every industry improved. Automated data collection drove efficiencies at the bench. Cloud solutions accelerated knowledge-sharing between partners. Built-in security and permission features enhanced data integrity. There’s hardly a lab in operation right now that hasn’t gained from this leap towards digital transformation.

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Data Beyond Borders 3.0

whitePaper | July 6, 2023

Cross border data flows came to prominence under Japan’s G20 Presidency in 2019, with the Data Free Flow with Trust (DFFT) framework. Since then, the G20 Presidencies have set DFFT as a major priority in the promotion of worldwide digitisation, building the pillars that led G7 leaders to endorse and commit to a roadmap for cooperation on DFFT. Cross-border e-commerce has had a 45-fold increase1 in a decade, reaching an estimated USD2.7 trillion by 2023.2 Nearly two-thirds of global commerce is related to digital technology, with companies and governments investing an estimated USD6.8 trillion in digital transformation initiatives between 2020 and 2023.3

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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

AlgonoX Technologies

Every business needs 'Cognitive Automation' to become future ready. We at Algonox, help businesses re-imagine their processes/operations through the powerful interplay of mainstream automation with cognitive capabilities of Artificial Intelligence and Machine learning.

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