{"id":5045,"date":"2021-05-22T17:00:17","date_gmt":"2021-05-22T17:00:17","guid":{"rendered":"https:\/\/www.abrahamsconsulting.com\/blog\/?p=5045"},"modified":"2021-05-22T17:00:17","modified_gmt":"2021-05-22T17:00:17","slug":"when-it-comes-to-artificial-intelligence-throw-away-that-tired-old-tech-rulebook","status":"publish","type":"post","link":"https:\/\/www.abrahamsconsulting.com\/blog\/when-it-comes-to-artificial-intelligence-throw-away-that-tired-old-tech-rulebook\/","title":{"rendered":"When it comes to artificial intelligence, throw away that tired old tech rulebook"},"content":{"rendered":"<p>Emerging technologies always demand new approaches to risks and opportunities. They often force us to rethink and modify our existing methodologies in favor of more integrated and interconnected processes. <\/p>\n<p>In this regard, artificial intelligence is definitely no exception. However, there&#8217;s still a lot of mysticism around what implications AI might have for today&#8217;s businesses and what measures organizations must take to ensure the successful execution of their AI initiatives. <\/p>\n<p>In this article, you&#8217;ll learn about four ways in which ways AI is poised to turn the enterprise landscape on its head and how your business can better prepare for its ventures into artificial intelligence.<\/p>\n<p><a href=\"https:\/\/stuf.in\/b62cck\" target=\"_blank\" rel=\"noopener\">Read More&#8230;<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>It&#8217;s expected that the number of professionals working in AI-focused roles will nearly double in the next three years. This shift will not only require changes to businesses&#8217; digital environments, but to their organizational structures as well. Read this article to learn four ways in which businesses need to evolve to fully prepare for the advent of #ArtificialIntelligence.<\/p>\n","protected":false},"author":2,"featured_media":5044,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1136],"tags":[],"class_list":["post-5045","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>When it comes to artificial intelligence, throw away that tired old tech rulebook - TechTonic Times<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.abrahamsconsulting.com\/blog\/when-it-comes-to-artificial-intelligence-throw-away-that-tired-old-tech-rulebook\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"When it comes to artificial intelligence, throw away that tired old tech rulebook - TechTonic Times\" \/>\n<meta property=\"og:description\" content=\"It&#039;s expected that the number of professionals working in AI-focused roles will nearly double in the next three years. This shift will not only require changes to businesses&#039; digital environments, but to their organizational structures as well. 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