Gartner warns there's a lot of hype surrounding AGI and organizations would be best to ignore vendors' claims of having commercial-grade products or platforms ready today with this technology.
![2020 gartner hype cycle 2020 gartner hype cycle](https://emtemp.gcom.cloud/ngw/globalassets/en/marketing/images/tile/tile-hype-cycle-digital-marketing.png)
They're also recommending organizations look at insight engines' potential to deliver value across a business. Gartner recommends projects involving Natural Language Processing (NLP), machine learning, chatbots and computer vision to be prioritized above other AI initiatives. Gartner clients are wisely moving to minimum viable product and accelerating AI development to get results quickly in the pandemic. Before the pandemic, pilot projects' success or failure was, for the most part, dependent on if a project had an executive sponsor and how much influence they had.
![2020 gartner hype cycle 2020 gartner hype cycle](https://cmte.ieee.org/futuredirections/wp-content/uploads/sites/44/2020/09/hype-cycle-for-emerging-technologies-2020-310x165.png)
![2020 gartner hype cycle 2020 gartner hype cycle](https://janzz.technology/wp-content/uploads/2020/12/janzztechnology_gartner-hype-cycle_en-1.jpg)
GARTNER is a registered trademark and service mark of Gartner, Inc. Gartner, Hype Cycle for Artificial Intelligence 2020, Svetlana Sicular, Shubhangi Vashisth, 27 July 2020.
2020 gartner hype cycle free#
Get these insights FREE now: Courtesy of Uniphore! On the other hand, AI has come to the rescue. On one hand, the COVID-19 pandemic has starkly exposed the brittleness of AI solutions in fraud detection, supply chain management and recommendations that stopped working properly when incoming data abruptly changed. We believe that, if artificial intelligence (AI) as a general concept were positioned on this Hype Cycle, it would be rolling off the Peak of Inflated Expectations.