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Four trends on the Gartner Hype Cycle for Artificial Intelligence, 2021 are driving near-term artificial intelligence (AI) innovation.

Sep 07, 2021 · Four trends on the Gartner, Inc. Hype Cycle for Artificial Intelligence, 2021 are driving near-term artificial intelligence (AI) innovation. These trends include responsible AI; small and wide data approaches; operationalization of AI platforms; and efficient use of data, model and compute resources.

22.09.2021 · Gartner’s 2021 Hype Cycle for Emerging Technologies is out, so it is a good moment to take a deep look at the report and reflect on our AI …

Gartner analysts described 34 types of AI technologies in the report and also noted that the AI hype cycle is more fast-paced, with an above- ...

Operationalizing AI initiatives. Gartner expects that by 2025, 70% of organizations will have operationalized AI architectures due to the rapid ...

Gartner Artificial Intelligence Hype Cycle for 2021 describes AI-specific innovations that are in various. Trend No. 1: Operationalizing AI ...

Oct 07, 2021 · Source: Gartner Hype Cycle for Artificial Intelligence, 2021 #1 Data for AI. Data is critical and especially “b u siness-specific” data is important for any analytics to be meaningful on top ...

04.10.2020 · These and many other new insights are from the Gartner Hype Cycle for Artificial Intelligence, 2020, published on July 27 th of this year and provided in the recent article, 2 Megatrends Dominate ...

07.09.2021 · Four trends on the Gartner, Inc. Hype Cycle for Artificial Intelligence, 2021 are driving near-term artificial intelligence (AI) innovation. These trends include responsible AI; small and wide data approaches; operationalization of AI platforms; and efficient use of data, model and compute resources.

Sep 12, 2019 · This Gartner Hype Cycle highlights how AI is reaching organizations in many different ways. Explore the latest: 2021 Hype Cycle for AI Between 2018 and 2019, organizations that have deployed artificial intelligence (AI) grew from 4% to 14%, according to Gartner’s 2019 CIO Agenda survey .

Gartner Research on Hype Cycle for Artificial Intelligence, 2019

28.09.2020 · While five new AI solutions enter this year’s Hype Cycle for AI, the democratisation of AI and the industrialisation of AI megatrends dominate the AI landscape in 2020. Despite the global impact of COVID-19, 47% of artificial intelligence (AI) investments were unchanged since the start of the pandemic and 30% of organisations actually planned ...

Democratization of Artificial Intelligence

The 4 Trends That Prevail on the Gartner Hype Cycle for AI, 2021 · 1: Operationalizing AI initiatives · 2: Efficient use of data, models and ...

Gartner Hype Cycle for AI 2021 · Machine Learning · Deep Learning · Chatbots · Natural Language Processing · AI Cloud Services · Semantic Search · Computer Vision.

Small Data is now a category in the Hype Cycle for AI for the first time. Gartner defines this technology as a series of techniques that enable ...

24.07.2017 · Hype Cycle for Artificial Intelligence, 2017. Published: 24 July 2017 ID: G00314732 Analyst(s): Tom Austin, Kenneth Brant Summary A "virtuous cycle" for a new generation of artificial intelligence builds along several critical market dimensions.

07.10.2021 · Source: Gartner Hype Cycle for Artificial Intelligence, 2021 #1 Data for AI. Data is critical and especially “b u siness-specific” data is important for …