{"id":133474,"date":"2022-01-02T13:22:18","date_gmt":"2022-01-02T21:22:18","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2022\/01\/ai-in-2022-what-decision-you-need-to-make-in-the-new-year"},"modified":"2022-01-02T13:22:18","modified_gmt":"2022-01-02T21:22:18","slug":"ai-in-2022-what-decision-you-need-to-make-in-the-new-year","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2022\/01\/ai-in-2022-what-decision-you-need-to-make-in-the-new-year","title":{"rendered":"AI in 2022: What decision you need to make in the new year"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/ai-in-2022-what-decision-you-need-to-make-in-the-new-year2.jpg\"><\/a><\/p>\n<p>What does 2022 have in store for <a href=\"https:\/\/venturebeat.com\/2021\/05\/26\/kpmg-survey-finds-execs-are-worried-about-ai-hype-but-they-can-overcome-it\/\">AI in the enterprise<\/a>? Will it be a robust year of world-altering developments and implementation, or will organizations struggle to gain appreciable value from an exceedingly complex technology?<\/p>\n<p>In all likelihood, it will be a little of both. So as you chart a strategy for the coming year, keep an eye on what is really happening with AI right now and what remains on the drawing board.<\/p>\n<p>If we look at <a href=\"https:\/\/www.gartner.com\/en\/newsroom\/press-releases\/2021-09-07-gartner-identifies-four-trends-driving-near-term-artificial-intelligence-innovation\">Gartner\u2019s AI Hype Cycle for 2021<\/a>, it\u2019s clear that the company has placed the majority of AI developments on the up-slope of the Innovation Trigger curve and at the Peak of Inflated Expectations. This includes everything from AI-driven automation and orchestration platforms to neural networks, deep learning, and machine learning. This isn\u2019t to say that these applications are destined to crash and burn, just that they\u2019re still <a href=\"https:\/\/venturebeat.com\/2021\/08\/30\/ignore-the-ai-hype-focus-on-the-value\/\">more hype than reality<\/a> at the moment \u2013 and <a href=\"https:\/\/venturebeat.com\/2021\/08\/12\/takeaways-from-gartners-2021-hype-cycle-for-cloud-security-report\/\">Gartner expects<\/a> it will be two to five years before they become productive assets in the enterprise.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>What does 2022 have in store for AI in the enterprise? Will it be a robust year of world-altering developments and implementation, or will organizations struggle to gain appreciable value from an exceedingly complex technology? In all likelihood, it will be a little of both. So as you chart a strategy for the coming year, [\u2026]<\/p>\n","protected":false},"author":556,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1522,6],"tags":[],"class_list":["post-133474","post","type-post","status-publish","format-standard","hentry","category-innovation","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/133474","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/556"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=133474"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/133474\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=133474"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=133474"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=133474"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}