The Gartner Hype Cycle for Endpoint Security, 2020, is shown below: Details Of What’s New In Gartner’s Hype Cycle for Endpoint Security, 2020. Five new technology categories are included in this year’s Hype Cycle for AI, including small data, generative AI, composite AI, responsible AI and things as customers. Machine Learning, just like Artificial Intelligence, is often overhyped. According to the Gartner Hype Cycle for AI in Retail, 2020, “Common business use cases for AI in retail include fraud and anomaly detection, marketing, demand forecasting, multichannel order execution, smart check-out and robotic operational assistance. For example, relationship analytics based on graph techniques can identify illegal behavior and criminal activity.” Gartner Magic Quadrant For Analytics and Business Intelligence Platforms, 11 February 2020, James Richardson, Rita Sallam, Kurt Schlegel, Austin Kronz, Julian Sun The Gartner Peer Insight Logo is a trademark and service mark of Gartner, Inc., and/or its affiliates, and is used herein with permission. Source : Gartner, Hype Cycle for Natural Language Technologies, 2020, Bern Eliot et al., 06 July 2020 Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. For example, in the case of trying to select and prioritize an AI strategy you might logically look at the Hype Cycle for Artificial Intelligence (2019 the most current is above). Read Article Enquero was mentioned as a Sample Vendor in Gartner report 2020 Hype Cycle for Analytics and Business Intelligence, 2020 in the analytics catalog According to The Hype Cycle for Analytics and Business Intelligence, 2020,“The analytics catalogs represent a productized technique that has existed for years in the form of data catalogs, but now […] Hype Cycle for Human Capital Management Technology, 2020 Published: 27 July 2020 ID: G00447990 Analyst(s): Helen Poitevin This Hype Cycle informs application leaders who are supporting HCM technology transformations about the latest technological innovations on the market. Hype Cycle for Business Intelligence and Data Warehousing, 2005 visibility Virtual Data Federation/EII BAM/Real-Time BI SOA-Enabled BI EBISs Convergence EBIS/BI Platforms Advanced Analytics Collaborative BI Embedded Analytics Visual BI Development Tools 64-bit Hardware Data Warehouse Appliance Open Source BI Text Mining Open Source DBMS Cross-Enterprise Analytics Metadata Tools … It includes technologies that enable a composable enterprise, aspire to regain society’s trust in technology and alter the state of your brain. *Gartner, Hype Cycle for Analytics and Business Intelligence, 2019 by Austin Kronz, Jim Hare, Peter Krensky, 5 August 2020. Sources: 5 Trends Drive the Gartner Hype Cycle for Emerging Technologies, 2020 by Kasey Panetta. your password “This Hype Cycle highlights technologies that will significantly affect business, society and people over the next five to 10 years,” said Brian Burke, Research VP, Gartner. Earlier this year, Gartner published its famous hype cycle for emerging technologies — The Gartner’s Hype Cycle for Emerging Technologies 2020 listed a host of artificial intelligence (AI) technologies with different functionalities that will dramatically transform industries and business sectors. ATLANTA, Sept. 10, 2020 -- Exponential AI, a leading AI-Based Intelligent Decision and Automation Platform Company, today announced that it has been recognized in the Gartner’s Hype Cycle for Artificial Intelligence, 2020 in both categories of Decision Intelligence and Composite AI. Since its initial appearance in Gartner’s Hype Cycle, Everseen has solidified its role as an integral component in the retail tech landscape. Hype Cycle: A hype cycle is a graphical representation model produced by Gartner Inc. that helps organizations understand the maturity and adoption of new and emerging technologies and how they can be used to address and solve real business problems. The Gartner, Inc. 2020 Hype Cycle for Supply Chain Strategy shows that the Internet of Things (IoT) has reached the bottom of the Trough of Disillusionment.The market will begin to climb out of this trough, as the technology advances and practitioners succeed in defining the best opportunities for the unique measurement and tracking capabilities of IoT. For the second year, Microsoft is positioned furthest to the right for completeness of vision and furthest up in the ability to execute within the leaders’ quadrant. Hype Cycle for Digital Disclaimer: Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. It will help them prioritize investments by providing insights into the While it is on top of Hype Cycle, it is vital to be able to differentiate between hype and facts to yield maximum from existing ML offerings. Relationship analytics: According to the Hype Cycle for Analytics and Business Intelligence, “Many of the highest value applications are focused on discovery, where the questions to be answered are not known in advance. Artificial intelligence (AI) Artificial intelligence (AI) still resides at the beginning of the Hype Cycle and it will be another decade until it reaches maturity. You might be unaware that there is a completely different Hype Cycle for Data Science and Machine Learning (a little more nuts and bolts) or you might come across the Hype Cycle for Emerging Technologies. Published August 18, 2020.