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AI

The Ultimate Combo: Artificial intelligence and data centers

For artificial intelligence to be devoted to scaring us to death through iconic movies like 2001 or Terminator is a thing of the past, today it has other, much more interesting and practical purposes. For example, crowning itself by playing a fundamental role in data processing and analysis. Yes, that’s her, the futuristic AI, increasingly faster, more efficient and, now, necessary to manage data centers.

Embedding Artificial Intelligence At Work: From Efficiency Gains To Leadership Expertise

With the increasing adoption of artificial intelligence (AI) applications at the workplace, the debate about the future of work, workers, and the workplace has intensified. The polarised nature of debate ranges from job losses versus new-technology job creation through performance efficiency versus performance effectiveness to liberating humans from drudgery versus being controlled by machines. While several other polarities are evident in this debate, the truth always lies somewhere in between.

A Roadmap to Modernise IT Service and Operations Management

In the last decade or so AI has gone from a buzzword to table stakes. Data reveals that organizations that have adopted AI into their service management strategy have begun to reap the benefits. It is therefore imperative for businesses to invest in Intelligent Service Management to not just empower their agents but also keep up with rising employee expectations.

Achieve Breakthrough Performance in Your Microsoft Environment

In a world where 1.145 trillion MB of data is generated every day, the art of database management has become more important than ever. I use the word “art” because it captures a sense of the wizardry needed to effectively manage data. After all, our world is dominated by mobile devices and hybrid IT environments. Database migrations happen regularly, and data resides both on-premises and in the cloud. All these things have brought a new complexity to database management.

Making Artificial Intelligence Real

“We need to be an AI-enabled company.” Replace the “AI” with any technology from history and this comment becomes a common refrain across businesses lured by the promises of new technology and fueled by FOMO (a fear of missing out). As enterprise strategists and former CXOs who have lived through many “technology is the solution, now what was the problem?” conversations, we talk extensively about this issue.

ML/AI In Hours Not Months

Take ML/AI from Prototype to Production in Hours not Months with D2iQ. D2iQ delivers the leading independent platform for enterprise-grade Kubernetes. Starting with a comprehensive Kubernetes distribution built on pure upstream open-source, D2iQ provides management and ancillary platform applications that are tightly integrated, secured, and tested at scale.

Wind River Supports Intel Industrial SoCs Designed for Real-Time and AI-Driven Intelligent Systems

Wind River announces support for Intel Atom x6000 Series and Intel Pentium and Celeron N and J Series processors and 11th Gen Intel Core processors and Intel Celeron processors. This development is part of a multi-year effort to optimize Wind River software for Intel industrial system-on-a-chip offerings (SoCs).

Peripheral vision for CIOs starts with AI-powered service operations

Lisa Wolfe, product marketing director at ServiceNow, co-wrote this blog. The stream of global disruptions these past couple of years has not only put business continuity plans to the test, but has also tested the ability of organizations to simply survive. To operate at the “speed of a digital business” and to endure the next wave of unexpected change will require peripheral vision—the ability to help predict and fix issues before they impact employees or the business.

Five worthy reads: Preparing for AI adoption amidst a serious skills shortage

Five worthy reads is a regular column on five noteworthy items we’ve discovered while researching trending and timeless topics. In the era of mass AI adoption, aimed at enabling disruptive technology innovations, this week we will explore the concern over skill shortages in the AI market. Illustration by Balaji K.R. Artificial intelligence(AI) remains a major technology driver for 2022 and beyond. It has been ranked in the top technology trends consistently for several years.

Feature Engineering For Machine Learning: The Ultimate Guide

Almost all industries use artificial intelligence (AI) and machine learning (ML) today. As part of the so-called disruptive technologies, they've upended current technologies and have affected people in the way they work, do business, and spend their leisure time. And, with the pace these techs are advancing, they'll continue to be at the forefront of technological progress in the next few years.