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Databricks Recognized as a Leader in 2021 Gartner Magic Quadrant for Cloud Database Management Systems

Databricks is the only cloud native vendor to be recognized as a Leader in both 2021 Gartner Magic Quadrant Reports: Cloud Database Management Systems and Data Science and Machine Learning Platforms

Mona Named a Cool Vendor in the 2021 Gartner Cool Vendors in Enterprise AI Operationalization and Engineering Report

Mona Named a ‘Cool Vendor’ in the 2021 Gartner ‘Cool Vendors in Enterprise AI Operationalization and Engineering’ Report Share Article AI monitoring has emerged as a critical component in the MLOps stack, enabling companies to sustain the value of their AI/ML investments through continuous performance visibility. ATLANTA (PRWEB) May 25, 2021 Mona, the leading AI monitoring company, today announced it has been named a Cool Vendor in the 2021 Gartner ‘Cool Vendors in Enterprise AI Operationalization and Engineering report (1). The Mona platform helps AI teams continuously optimize their production environments through real-time visibility into data and model performance. “The recognition as a Gartner Cool Vendor gives our team great pride”, said Yotam Oren, co-founder and CEO of Mona. “Gartner research validates the emergence of AI monitoring, as a critical component of the MLOps stack”.

MIL-OSI Economics: IBM Launches New Watson Capabilities to Help Businesses Build Trustworthy AI

Source: IBM Updates to IBM Watson Studio, IBM OpenPages with Watson and IBM Planning Analytics with Watson designed to help address key barriers to trust in data and AI models– Leading global brands including Lufthansa are using IBM Watson to infuse trust into their workflows ARMONK, N.Y., April 21, 2021 /PRNewswire/  IBM (NYSE: IBM) today announced new capabilities for IBM Watson designed to help businesses build trustworthy AI. These capabilities further expand Watson tools designed to help businesses govern and explain AI-led decisions, increase insight accuracy, mitigate risks and meet their privacy and compliance requirements. An IBM-commissioned survey found that trust, transparency and explainability are top-of-mind concerns for businesses, with 84% of AI professionals surveyed agreeing that consumers are more likely to choose services from a company that offers transparency and an ethical framework on how its data and AI models are built, managed and used. However,

AI engineering can help organizations get the most out of Artificial Intelligence deployments

4x-image / Getty Images What exactly is AI? A common definition is it s the simulation of human intelligence in machines that are programmed to think as humans do and impersonate their actions. AI can refer to any system that exhibits traits associated with the human mind, such as the ability to learn and solve problems. Technology products and services bolstered with AI capabilities can lead to significant benefits for organizations: increased efficiency, automation of manual processes, enhanced decision making, improved customer service and experience, and the ability to solve complex problems to name a few. However, IT and business leaders need to be adept at separating the hype from the reality. As research firm Gartner notes, many organizations struggle to put a realistic value on AI. Business leaders tend to overestimate the impact of the technology and underestimate its complexity, it says.

Dataiku Welcomes Shaun McGirr, AI Evangelist to Help Customers Maximise Value From AI

Dataiku Welcomes Shaun McGirr, AI Evangelist to Help Customers Maximise Value From AI Media Leading AI unicorn welcomes industry-recognised senior data scientist to its U.K. team LONDON, 16 March, 2021 Dataiku, the world’s most advanced Enterprise AI platform, today announced that Shaun McGirr has been hired as AI Evangelist, to be based out of the company’s London headquarters. Shaun McGirr McGirr has over 15 years of experience working with data as a practitioner across multiple industries, including doctorate-level training in applied statistics, consulting, and automotive. He will focus on helping customers maximise value on their paths to Enterprise AI, while coaching and advising teams internally. Prior to joining Dataiku, McGirr served as Head of Data Science & Business Intelligence at Cox Automotive UK, where he led a team helping customers access, understand, and engage with data to improve decision-making. He is also co-host of the Half Stack Data Science podc

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