Top Technology Trends for 2022 :AI Engineering
Per Gartner, "despite the hype, it might surprise you to hear that AI is still undervalued. Most AI value is generated from one-off, point-to-point solutions."
"For AI to deliver transformative value, enterprises need to industrialize the creation, deployment and monitoring of AI models in the business ecosystem in which they operate." According to Gartner "by 2025, the 10% of enterprises that establish AI engineering best practices will generate at least three times more value from their AI efforts than the 90% of enterprises that do not." In its new report about the top strategic technology trends for 2022, Gartner gives recommendations and best practices on how to enable AI Engineering, a discipline of Ai whose role is to Industrialize AI to rapidly deliver new kinds of business value and compound this value over time. Modern AI platforms not only provide the necessary tools for structuring and managing data, but for AI engineering as well. Do not hesitate contact us to learn more, and download the full Gartner report here.
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. Gartner research publications consist of the opinions of Gartner research organization and should not be construed as statements of fact. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. Gartner,Top Strategic Technology Trends for 2022: AI Engineering,Kevin Gabbard, Soyeb Barot, Jitendra Subramanyam,18th October 2021