The artificial intelligence (AI) chips market is expected to grow by USD 73.49 billion at over 51% CAGR during 2021-2025, according to the latest market research report by Technavio. The report provides a detailed analysis of the market by analyzing the impact of the COVID-19 pandemic on businesses. According to Technavio, the COVID-19 pandemic will have a positive impact on the growth of the artificial intelligence (AI) chips market. The report expects the market value to increase in 2021 as compared to 2020. Many businesses currently are going through response, recovery, and renewal phases.

Quickly shifting to remote work has enterprises looking to meet the ops needs of a suddenly distributed team, and there are open source options to get them there. The recent mad rush to scale to remote work may prove to be a key chapter in DevOps and AIOps evolution. This need for rapid, widescale change is creating a real conundrum concerning AIOps, DevOps, and ITSM, as organizations seek the best monitoring and incident response solution for their now distributed enterprises. The key question both the DevOps and IT service management (ITSM) communities need to answer is how quickly they can pivot and adapt to increasing demands for operational intelligence. Artificial intelligence for IT Operations (AIOps) brings together artificial intelligence (AI), analytics, and machine learning (ML) to automate the identification and remediation of IT operations issues.

IT operations leaders are being asked to manage increasingly complex environments that span from the mainframe to a range of cloud and distributed platforms. This informative whitepaper explores how leading organizations are keeping pace with growing demands by connecting and innovating mainframe as part of their modern hybrid IT environment and simplifying mainframe management with the assistance operational intelligence and machine learning.

Part 5 covers NoOps, Analytics, Machine Learning and AI. These AI-powered, automated and autonomous systems will automate deployment, monitoring, management, securing and remediation of IT environment. If your current APM solution is not already integrated/capable of integrating into these larger systems, you'll want to use 2018 to get yourself acquainted and start your projects. "NoOps" will no longer be a thing as infrastructure and operations/run teams become more involved in the development aspects of the software engineering and take back the Ops. In today's fast-changing, dynamic virtual environments, IT managers can no longer afford to be reactive or to use trial-and-error to address issues.

Machine Learning is now on top of the Gartner hype cycle, and almost everyone in the world of digital marketing or e-Commerce talks about it or, at least, has heard about it. But although this term is discussed quite often, only a few do really know what it is or what it can do for them. Even less are aware about its limits. Within this article, we want to shed light on this dark through introducing you to the concept of machine learning, showing its application in online shops and comparing it to Operational Intelligence and Prescriptive Analysis for a better understanding. Basically, Machine Learning is a part of Artificial Intelligence (AI) that generates knowledge from experiences, i.e. historical data.