Aible, the pioneer in impact-optimized enterprise AI, has scored highest in the Automated Machine Learning (AutoML) services Use Case in Gartner’s 2021 “Critical Capabilities for Cloud AI Developer Services” report. In Gartner’s evaluation of 13 AutoML providers, Aible scored the highest in the AutoML Use Case.
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DataOps emerged seven years ago to refer to best practices for getting proper analytics, and research firm Gartner calls it a major trend encompassing several steps in the data lifecycle. Just as the DevOps trend led to a better process for collaboration between developers and operations teams, DataOps refers to closer collaboration between various teams handling data and operations teams deploying data into applications.
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Gartner’s Magic Quadrant report on data science and machine learning (DSLM) platform companies assesses what it says are the top 20 vendors in this fast-growing industry segment. Data scientists and other technical users rely on these platforms to source data, build models, and use machine learning at a time when building machine learning applications is increasingly becoming a way for companies to differentiate themselves.
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By 2025, more than 75% of venture capital and early-stage investor executive reviews will be informed using AI and data analytics. In other words, AI might determine whether a company makes it to a human evaluation at all, deemphasizing the importance of pitch decks and financials. That’s according to a new whitepaper by Gartner, which predicts that in the next four years, the AI- and data-science-equipped investor will become commonplace.
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The latest Gartner Magic Quadrant for Data Science and Machine Learning Platforms has just been released, and IBM is delighted to be recognized as a Leader in the space.
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Gartner’s latest Hype Cycle has a distinct AI flavour, highlighting the technology’s importance over the next decade.
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