{"id":46317,"date":"2021-11-23T02:09:00","date_gmt":"2021-11-23T07:09:00","guid":{"rendered":"http:\/\/blog.cybercon1.com\/?p=46317"},"modified":"2021-11-23T02:09:00","modified_gmt":"2021-11-23T07:09:00","slug":"artificial-intelligence-everyone-wants-it-but-not-everyone-is-ready","status":"publish","type":"post","link":"https:\/\/www.cyberconservices.com\/index.php\/2021\/11\/23\/artificial-intelligence-everyone-wants-it-but-not-everyone-is-ready\/","title":{"rendered":"Artificial intelligence: Everyone wants it, but not everyone is ready"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">By\u00a0<a href=\"https:\/\/www.zdnet.com\/meet-the-team\/us\/joe-mckendrick\/\">Joe McKendrick<\/a> &#8211; <strong>Artificial intelligence<\/strong> technologies have reached impressive levels of adoption, and are seen as a competitive differentiator. But there comes a point when technology becomes so ubiquitous that it is no longer a competitive differentiator &#8212; think of the cloud. Going forward, those organizations succeeding with AI, then, will be those that apply human innovation and business sense to their AI foundations.\u00a0<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Such is the challenge identified in a\u00a0<a rel=\"noreferrer noopener\" href=\"https:\/\/www.relx.com\/~\/media\/Files\/R\/RELX-Group\/documents\/press-releases\/2021\/2021-relx-emerging-tech-exec-summary.pdf\" target=\"_blank\">study<\/a>\u00a0released by RELX, which finds the use of <strong>AI<\/strong> technologies, at least in the United States, has reached 81% of enterprises, up 33 percentage points from 48% since a previous RELX survey in 2018. They&#8217;re also bullish on AI delivering the goods &#8212; 93% report that <strong>AI <\/strong>makes their business more competitive. This ubiquity may be the reason 95% are also reporting that finding the skills to build out their AI systems is a challenge. Plus, these systems could be potentially flawed: 75% worry that<strong> AI<\/strong> systems may potentially introduce the risk of bias in the workplace, and 65% admit their systems are biased. \u00a0<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">So there&#8217;s still much work to be done.\u00a0 It comes down to the people that can make <strong>AI<\/strong> happen, and make it as fair and accurate as possible.\u00a0<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8220;While many <strong>AI <\/strong>and machine learning deployments fail, in most cases, it&#8217;s less of a problem with the actual technology and more about the environment around it,&#8221; says Harish Doddi, CEO of Datatron. Moving to AI &#8220;requires the right skills, resources,\u202fand\u202fsystems.&#8221;\u00a0<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It takes a well-developed understanding of <strong>AI<\/strong> and ML to deliver visible benefits to the business. While AI and ML have been around for many years, &#8220;we are still barely scratching the surface of uncovering their true capabilities,&#8221; says Usman Shuja, general manager of connected buildings for Honeywell. &#8220;That said, there are many valuable lessons to be gleaned from others&#8217; missteps. While it&#8217;s arguably true that <strong>AI <\/strong>can add significant value to practically any department across any business, one of the biggest mistakes a business can make is to implement AI for the sake of implementing <strong>AI<\/strong>, without a clear understanding of the business value they hope to achieve.&#8221;  <a href=\"https:\/\/www.google.com\/url?rct=j&amp;sa=t&amp;url=https:\/\/www.zdnet.com\/article\/artificial-intelligence-everyone-wants-it-but-not-everyone-is-ready\/&amp;ct=ga&amp;cd=CAEYACoTMjY5NTQ2MDAwMTczODEyMjEzNTIaNDc3ZTJlNTE2ZWYxZDQ3OTpjb206ZW46VVM&amp;usg=AFQjCNHAxoftAlG6e_P6wBydcYuzOH0sUA\">Read On:<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>By\u00a0Joe McKendrick &#8211; Artificial intelligence technologies have reached impressive levels of adoption, and are seen as a competitive differentiator. But there comes a point when technology becomes so ubiquitous that it is no longer a competitive differentiator &#8212; think of the cloud. Going forward, those organizations succeeding with AI, then, will be those that apply [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":46318,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[638,640],"tags":[639,641],"class_list":["post-46317","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-artificial-intelligence-ai","tag-ai","tag-artificial-intelligence-2"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.1.1 - aioseo.com -->\n\t<meta name=\"description\" content=\"By Joe McKendrick - Artificial intelligence technologies have reached impressive levels of adoption, and are seen as a competitive differentiator. 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