ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR OPTIMIZING DEVOPS, IT OPERATIONS, AND BUSINESS

October 10, 2018

Enterprise Management Associates (EMA) research shows that leveraging artificial intelligence and machine learning (AI/ML) for DevOps, IT operations management, and business management is the top priority for enterprises in 2018 and beyond. AI/ML brings data-driven intelligence to DevOps, IT operations, and the enterprise to optimize processes, recognize relevant trends, proactively prevent issues, rapidly detect and resolve problems, and enable human staff to make optimal and fact-driven decisions.

Spotlight

Exacaster

Exacaster is a big data predictive analytics technology company developing advanced machine-learning algorithms and tools that address and automate key customer management decisions in Telecommunications and Retail. The Exacaster Platform, the company's flagship product, helps telecom and retail marketers visualize data, predict customer behavior, execute model-driven or event-triggered multi-channel campaigns and measure their impact. We bring proven customer acquisition, value management and retention processes that rely on data and not on gut feeling.

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

whitePaper | December 23, 2022

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.

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Bridging the Data Talent Gap: How Enterprises are Reimagining the AI, Data and Analytics Workforce

whitePaper | July 12, 2022

In many ways, 2022 has been an exercise in dealing with the reeling of the Covid-19 pandemic. All over the world, supply chain issues have led to a myriad of challenges for enterprises, leading to deep shifts in how we do business and unraveling many of our assumptions about how society operates.

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Why Open Architectures Matter in BI: A White Paper on Openness

whitePaper | September 1, 2022

Lock-in occurs when the cost or effort of moving away from a particular choice (platform, vendor) outweighs the benefit of doing so, even if that choice is good for the business overall. The pain of moving is simply too great to consider doing it.

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Replanteamiento del acceso a las aplicaciones gestión de una fuerza laboral moderna

whitePaper | February 26, 2020

El cambio de paradigma que se está extendiendo por el ámbito tecnológico y empresarial es cada día más evidente. La transición a cloud computing está llegando a su punto de inflexión. Las fusiones y adquisiciones han proliferado. Además, con un número cada vez mayor de usuarios finales que operan fuera del entorno empresarial, los departamentos de TI deben prestar servicio a un ecosistema de usuarios cada vez más diverso, distribuido y exigente

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PulseNet 2.0 White Paper

whitePaper | May 1, 2023

This document is intended to provide a high-level overview of the proposed data architecture for PulseNet 2.0. If the details come across as vague, that merely reflects where we are in the development phase. Further questions are welcome and can be directed to pulsenet@cdc.gov with “PulseNet 2.0” in the subject line.

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Data & AI Survey Report 2021/2022

whitePaper | September 2, 2022

This year, unlike previous years, we asked professionals the most difficult elements of a successful data strategy instead of the most important.

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Spotlight

Exacaster

Exacaster is a big data predictive analytics technology company developing advanced machine-learning algorithms and tools that address and automate key customer management decisions in Telecommunications and Retail. The Exacaster Platform, the company's flagship product, helps telecom and retail marketers visualize data, predict customer behavior, execute model-driven or event-triggered multi-channel campaigns and measure their impact. We bring proven customer acquisition, value management and retention processes that rely on data and not on gut feeling.

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