The artificial intelligence for IT operations (AIOps) platform market is moving faster than can really be imagined, both in terms of vendors as well as the capabilities that make up AIOps solutions. This was driven by a continued increase of unmanageable data volumes and continued desire for business insights. To address these changes since the last Forrester Wave on AIOps two years ago, Forrester published the AIOps Reference Architecture, which defines the 18 functions required to deliver AIOps solutions. Additionally, we published guidance on the different perspectives of how to approach AIOps to address a growing organizational need to help put AIOps into practice. The Forrester Wave: Artificial Intelligence For IT Operations, Q4 2022 is focused on technology-centric AIOps solutions, which was a key element of the entry criteria in addition to single-code base and/or UI, stand-alone product, and domain-agnostic interoperability. Operationally aligned and process-centric AIOps vendors were not included in this research but will be highlighted in future Forrester research efforts.

C3 AI "…could become the de facto AI platform standard for the world's most complex industries" "Ahead of its time, C3 AI's strategy is to make AI application-centric by building a growing library of industry solutions, forging deep industry partnerships, running in every cloud, and facilitating extreme reuse through common data models," the report states. "We are pleased to be recognized as a leader in AI and ML platforms," said Thomas Siebel, C3 AI CEO. "I'm delighted to see C3 AI's significant investments in enterprise AI software be acknowledged. I believe that Forrester Research has made an important contribution, having published the first professional comprehensive analysis of enterprise AI and Machine Learning platforms," Siebel continued, "changing the dialogue from a focus on disjointed tools to the importance of cohesive enterprise AI platforms. This is certain to accelerate the market adoption of enterprise AI and simplify often protracted decision processes."

Azure Integration Services consisting of Logic Apps, API Management, Event Grid, and Service Bus helps customers connect applications, data, and services on-premises and in the cloud, helping enterprises create new revenue opportunities with an API-driven partner and developer ecosystem and boost productivity with secure and automated workflows. Our vision is to empower all kinds of organizations and users, from citizens to professional developers, to use Azure Integration Services to enable a composable enterprise. We believe that integration is an essential part of modern applications and should be available and accessible to all kinds of users; citizens to professional developers. We reach out to developers at the platform of their choice with Visual Studio and Visual Studio Code extensions, support for Azure DevOps, GitHub Actions, Application Insights, and Azure Monitor, offering an intuitive user experience and increasing developer productivity. With Power Automate and its Windows-integrated robotic process automation (RPA) capabilities, we enable citizen developers to leverage integration without writing code.

PwC announced that it was cited as a Leader in The Forrester Wave: AI Consultancies, Q1 2021. In the report, Forrester notes that "AI consultancy customers should look for providers that: Commenting on PwC, the report states that: "The PwC backstory has two facets -- client transformations and its own. PwC helps transform client businesses, but its own transformation is part of its story. PwC doubled down on its own upskilling and IP-building platform and then launched this for clients. One-off simulation projects are now scaled offerings for strategic planning, operations, and continuous scaling of business models. Even strategic innovation partnerships are points of excellence; one client specifically selected PwC because of the consultancy's relationship with Carnegie Mellon."

Today, we released the "The Forrester Wave: Artificial Intelligence For IT Operations, Q4 2020." We looked at the top 11 vendors in the market and evaluated them across 33 criteria. There are three Leaders in today's market: Devo, Dynatrace, and ScienceLogic. Another six vendors -- Datadog, Zenoss, LogicMonitor, Digitate, OpsRamp, and Broadcom -- are Strong Performers; Moogsoft and New Relic are Contenders. With the importance of delivering exceptional digital services at an all-time high, now is the time to consider investing in AIOps-enabled solutions.

LogicMonitor, the leading cloud-based IT infrastructure monitoring and observability platform for enterprises and Managed Service Providers (MSPs), announced it has been named a Strong Performer in "The Forrester Wave: Artificial Intelligence For IT Operations, Q4 2020." LogicMonitor is among the select companies that Forrester invited to participate in its Q4 2020 Forrester Wave evaluation, "Artificial Intelligence for IT Operations." Forrester provided an overview of 28 solution providers for its "Now Tech: AI for IT Operations, Q4 2020" report, and selected a subset of 11 to evaluate in the Wave report. "The Forrester Wave: Artificial Intelligence For IT Operations, Q4 2020" evaluates the strategy, current offering and market presence of vendors who provide platform solutions that leverage data to make smarter inferences on service health and provide a higher level of automation once those insights are found. According to Forrester, LogicMonitor's platform "is strong at core infrastructure monitoring, detecting anomalies for IT operations teams, and microservices and container monitoring."

LogicMonitor, the leading cloud-based IT infrastructure monitoring and observability platform for enterprises and Managed Service Providers (MSPs) announced it has been named a Strong Performer in "The Forrester Wave: Artificial Intelligence For IT Operations, Q4 2020." LogicMonitor is among the select companies that Forrester invited to participate in its Q4 2020 Forrester Wave evaluation, "Artificial Intelligence for IT Operations." Forrester provided an overview of 28 solution providers for its "Now Tech: AI for IT Operations, Q4 2020" report, and selected a subset of 11 to evaluate in the Wave report. "The Forrester Wave: Artificial Intelligence For IT Operations, Q4 2020" evaluates the strategy, current offering, and market presence of vendors who provide platform solutions that leverage data to make smarter inferences on service health and provide a higher level of automation once those insights are found. According to Forrester, LogicMonitor's platform "is strong at core infrastructure monitoring, detecting anomalies for IT operations teams, and microservices and container monitoring."

Unstructured text is the largest human-generated data source, offering a wealth of insights for organisations able to uncover them. SAS helps businesses capitalise on the massive amounts of text data, discovering trends and opportunities that otherwise would have been missed. As a result, SAS was named a Leader in AI-based text analytics in two reports, The Forrester Wave: AI-Based Document-Focused Text Analytics Platforms, Q2 2020 and The Forrester Wave: AI-Based People-Focused Text Analytics Platforms, Q2 2020. "Unstructured text data offers access to an array of insights from which businesses can benefit hugely," says Matthew Stainer, NLP Specialist, SAS UK & Ireland. "Understanding this data would be a mammoth task without technology to immediately spot patterns and interpret findings. With SAS Visual Text Analytics, organisations can unlock more value from their data than ever, which in turn can power better business decisions and boost customer experiences."

Drawing on the power of machine learning, predictive analytics and the Apache Hadoop platform, Epsilon helps some of the world's top brands get the right message to the right person at the right time. Although you probably don't realize it when you are interacting with some of the world's most admired brands, their communications are often coming to you through a company called Epsilon. As a Dell EMC case study explains, Epsilon is the digital powerhouse behind the marketing and loyalty programs of many Fortune 500 companies, including American Express, FedEx and Walgreens, to name just a few. Epsilon works with 15 of the top 20 global brands and 8 of the top 10 Fortune 500 companies.[1] If you stay at Marriott hotels, eat at Cracker Barrel restaurants or buy your office supplies at Staples, you may have interacted with Epsilon. In the course of its work, this global firm uses thousands of data points to customize individual messages for recipients, delivering content that gets maximum results.

Enterprise organizations recognize the key functions that artificial intelligence and machine learning will play in their businesses in the future, and, depending on what survey you have read in the last year, they are investing to make that future a reality. But what does it take to build a successful AI and machine learning practice? What does it take to go beyond building that practice and actually integrate AI and machine learning tools into the business itself where professionals across the organization touch it every day? How can we make these technologies which promise to provide a competitive edge into the lifeblood of the enterprise. A couple of new Forrester Wave reports, which evaluate predictive analytics and machine learning tools, provide a blueprint for the successful AI-driven business of the future.