On September 1, 2021 Gartner published their 2021 "Market Guide for AI Trust, Risk and Security Management". Per Gartner, "This Market Guide identifies new capabilities that data and analytics leaders must have to ensure model reliability, trustworthiness and security, and presents representative vendors who implement these functions."1 At HPE, we believe HPE Ezmeral ML Ops was recognized for the advantages our solution provides to our customers. As such, we're proud to announce that Gartner listed HPE Ezmeral ML Ops as a Representative ModelOps Vendor in the 2021 "Market Guide for AI Trust, Risk and Security Management." Gartner defines the AI Trust, Risk and Security Management (TRiSM) market as being made up of multiple software segments.

My Gartner colleagues Farhan Choudhary Jeremy D'Hoinne and I just launched coverage of the AI Trust Risk & Security Management (TriSM) market. AI TriSM comprises multiple software segments that ensure AI model; governance, trustworthiness, fairness, reliability, efficacy, security and data protection. As users start operationalizing their AI models, their attention quickly turns to managing model risk and ensuring their AI can be trusted to perform as designed. In fact, our last Gartner enterprise AI survey found that'security or privacy concerns' are the number 1 barrier to AI model implementation so it's no wonder that's where user attention turns once models are put into production. Today the AI TriSM market is fragmented, and users must select solutions from multiple categories to manage many inherent risks and issues.

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Like Gartner, who report a 25% increase in end user inquiries on AIOps, we at BMC Software are also experiencing increased interest from customers who are challenged by increasing complexity and volumes of data which are beyond human scale to manage. The combination of big data, machine learning, analytics and automation is increasingly being recognized amongst IT leaders as having the potential to transform monitoring and event management and drive significant benefits across IT Operations processes. So, what are Gartner saying are the major changes in this updated 2019 Market Guide for AIOps?

SOUTHBOROUGH, Mass., – (March 08, 2018)–Virtusa Corporation (NASDAQ GS: VRTU), a global business consulting and IT outsourcing company that accelerates business outcomes for its clients,has been included in Gartner'sMarket Guide for Data Science and Machine Learning Service Providers. The report, published on October 31, 2017, states: "Data and analytics leaders looking for support for their data science and machine learning projects should use this research to identify and engage with candidate service providers to fill the analytics deficit and augment their existing data scientists with specific skills." According to Gartner, "the growing demand for DS&ML as a competitive differentiator is forcing organizations to acquire an even wider portfolio of skilled resources – from statisticians and data scientists, to chief analytics officers. However, there is a shortage of data science skills in the market, making it difficult to source the right skills." "We feel that we are one of the most visible DS&ML service partners worldwide and are proud to be recognized in Gartner's Market Guide," said Kumar Ramamurthy, senior vice president and global head, Data & Analytics, Virtusa.