{"id":30800,"date":"2022-11-04T06:00:00","date_gmt":"2022-11-04T13:00:00","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=30800"},"modified":"2022-11-05T10:22:34","modified_gmt":"2022-11-05T17:22:34","slug":"ai-for-the-future-of-work","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2022\/11\/04\/ai-for-the-future-of-work\/","title":{"rendered":"AI For the Future of Work."},"content":{"rendered":"
\n
\"\"<\/figure><\/div>\n\n\n

AI has been a buzzword and businesses are all at different stages of implementing it. But is it actually solving anything? MIT Sloan and Boston Consulting Group (BCG) answer that question in a new report Achieving Individual \u2013 and Organization- Value with AI<\/strong><\/a>.  <\/p>\n\n\n\n

Among respondents who report that their organization obtains moderate, significant, or extensive value from AI, the vast majority (85%) claim that they personally obtain value from AI through the following:  <\/p>\n\n\n\n

AI as your workplace performance coach <\/strong><\/p>\n\n\n\n

AI tools help individuals excel in their independence by helping them learn from past actions, projecting outcomes of current actions, and even offering feedback on your past actions in order to improve work performance. <\/p>\n\n\n\n

Using AI for a better customer service experience<\/strong> <\/p>\n\n\n\n

If using AI would make your customer service interactions improve, why wouldn\u2019t you use it? For example, Walgreens found that if they can better predict when a customer\u2019s pharmacy order will be ready, it improves both<\/em> customer satisfaction and worker satisfaction. In this new study from MIT Sloan and BCG, it was noted that AI is making worker\u2019s lives easier, in simple ways that we may not always be aware of. <\/p>\n\n\n\n

Sign up for the free insideBIGDATA newsletter<\/a>.<\/em><\/p>\n\n\n\n

Join us on Twitter: https:\/\/twitter.com\/InsideBigData1<\/a><\/em><\/p>\n\n\n\n

Join us on LinkedIn: https:\/\/www.linkedin.com\/company\/insidebigdata\/<\/a><\/em><\/p>\n\n\n\n

Join us on Facebook: https:\/\/www.facebook.com\/insideBIGDATANOW<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

AI has been a buzzword and businesses are all at different stages of implementing it. But is it actually solving anything? MIT Sloan and Boston Consulting Group (BCG) answer that question in a new report\u00a0Achieving Individual \u2013 and Organization- Value with AI. Among respondents who report that their organization obtains moderate, significant, or extensive value from AI, the vast majority (85%) claim that they personally obtain value from AI.\u00a0<\/p>\n","protected":false},"author":10513,"featured_media":30801,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[526,115,87,180,56,84,1],"tags":[437,324,710,96],"acf":[],"yoast_head":"\nAI For the Future of Work. - insideBIGDATA<\/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:\/\/insidebigdata.com\/2022\/11\/04\/ai-for-the-future-of-work\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI For the Future of Work. - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"AI has been a buzzword and businesses are all at different stages of implementing it. But is it actually solving anything? MIT Sloan and Boston Consulting Group (BCG) answer that question in a new report\u00a0Achieving Individual \u2013 and Organization- Value with AI. Among respondents who report that their organization obtains moderate, significant, or extensive value from AI, the vast majority (85%) claim that they personally obtain value from AI.\u00a0\" \/>\n<meta property=\"og:url\" content=\"https:\/\/insidebigdata.com\/2022\/11\/04\/ai-for-the-future-of-work\/\" \/>\n<meta property=\"og:site_name\" content=\"insideBIGDATA\" \/>\n<meta property=\"article:publisher\" content=\"http:\/\/www.facebook.com\/insidebigdata\" \/>\n<meta property=\"article:published_time\" content=\"2022-11-04T13:00:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2022-11-05T17:22:34+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2022\/11\/MITSloan_BCG_report.png\" \/>\n\t<meta property=\"og:image:width\" content=\"300\" \/>\n\t<meta property=\"og:image:height\" content=\"393\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Editorial Team\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@insideBigData\" \/>\n<meta name=\"twitter:site\" content=\"@insideBigData\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Editorial Team\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/insidebigdata.com\/2022\/11\/04\/ai-for-the-future-of-work\/\",\"url\":\"https:\/\/insidebigdata.com\/2022\/11\/04\/ai-for-the-future-of-work\/\",\"name\":\"AI For the Future of Work. - insideBIGDATA\",\"isPartOf\":{\"@id\":\"https:\/\/insidebigdata.com\/#website\"},\"datePublished\":\"2022-11-04T13:00:00+00:00\",\"dateModified\":\"2022-11-05T17:22:34+00:00\",\"author\":{\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9\"},\"breadcrumb\":{\"@id\":\"https:\/\/insidebigdata.com\/2022\/11\/04\/ai-for-the-future-of-work\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/insidebigdata.com\/2022\/11\/04\/ai-for-the-future-of-work\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/insidebigdata.com\/2022\/11\/04\/ai-for-the-future-of-work\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/insidebigdata.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"AI For the Future of Work.\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/insidebigdata.com\/#website\",\"url\":\"https:\/\/insidebigdata.com\/\",\"name\":\"insideBIGDATA\",\"description\":\"Your Source for AI, Data Science, Deep Learning & Machine Learning Strategies\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/insidebigdata.com\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9\",\"name\":\"Editorial Team\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g\",\"caption\":\"Editorial Team\"},\"sameAs\":[\"http:\/\/www.insidebigdata.com\"],\"url\":\"https:\/\/insidebigdata.com\/author\/editorial\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"AI For the Future of Work. - insideBIGDATA","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/insidebigdata.com\/2022\/11\/04\/ai-for-the-future-of-work\/","og_locale":"en_US","og_type":"article","og_title":"AI For the Future of Work. - insideBIGDATA","og_description":"AI has been a buzzword and businesses are all at different stages of implementing it. But is it actually solving anything? MIT Sloan and Boston Consulting Group (BCG) answer that question in a new report\u00a0Achieving Individual \u2013 and Organization- Value with AI. Among respondents who report that their organization obtains moderate, significant, or extensive value from AI, the vast majority (85%) claim that they personally obtain value from AI.\u00a0","og_url":"https:\/\/insidebigdata.com\/2022\/11\/04\/ai-for-the-future-of-work\/","og_site_name":"insideBIGDATA","article_publisher":"http:\/\/www.facebook.com\/insidebigdata","article_published_time":"2022-11-04T13:00:00+00:00","article_modified_time":"2022-11-05T17:22:34+00:00","og_image":[{"width":300,"height":393,"url":"https:\/\/insidebigdata.com\/wp-content\/uploads\/2022\/11\/MITSloan_BCG_report.png","type":"image\/png"}],"author":"Editorial Team","twitter_card":"summary_large_image","twitter_creator":"@insideBigData","twitter_site":"@insideBigData","twitter_misc":{"Written by":"Editorial Team","Est. reading time":"1 minute"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/insidebigdata.com\/2022\/11\/04\/ai-for-the-future-of-work\/","url":"https:\/\/insidebigdata.com\/2022\/11\/04\/ai-for-the-future-of-work\/","name":"AI For the Future of Work. - insideBIGDATA","isPartOf":{"@id":"https:\/\/insidebigdata.com\/#website"},"datePublished":"2022-11-04T13:00:00+00:00","dateModified":"2022-11-05T17:22:34+00:00","author":{"@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9"},"breadcrumb":{"@id":"https:\/\/insidebigdata.com\/2022\/11\/04\/ai-for-the-future-of-work\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/insidebigdata.com\/2022\/11\/04\/ai-for-the-future-of-work\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/insidebigdata.com\/2022\/11\/04\/ai-for-the-future-of-work\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/insidebigdata.com\/"},{"@type":"ListItem","position":2,"name":"AI For the Future of Work."}]},{"@type":"WebSite","@id":"https:\/\/insidebigdata.com\/#website","url":"https:\/\/insidebigdata.com\/","name":"insideBIGDATA","description":"Your Source for AI, Data Science, Deep Learning & Machine Learning Strategies","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/insidebigdata.com\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9","name":"Editorial Team","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g","caption":"Editorial Team"},"sameAs":["http:\/\/www.insidebigdata.com"],"url":"https:\/\/insidebigdata.com\/author\/editorial\/"}]}},"jetpack_featured_media_url":"https:\/\/insidebigdata.com\/wp-content\/uploads\/2022\/11\/MITSloan_BCG_report.png","jetpack_shortlink":"https:\/\/wp.me\/p9eA3j-80M","jetpack-related-posts":[{"id":22700,"url":"https:\/\/insidebigdata.com\/2019\/05\/26\/survey-96-of-enterprises-encounter-training-data-quality-and-labeling-challenges-in-machine-learning-projects\/","url_meta":{"origin":30800,"position":0},"title":"Survey: 96% of Enterprises Encounter Training Data Quality and Labeling Challenges in Machine Learning Projects","date":"May 26, 2019","format":false,"excerpt":"IDC predicts worldwide spending on artificial intelligence (AI) systems will reach $35.8 billion in 2019, and 84% of enterprises believe investing in AI will lead to greater competitive advantages (Statista). However, nearly eight out of 10 enterprise organizations currently engaged in AI and machine learning (ML) report that projects have\u2026","rel":"","context":"In "Google News Feed"","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2018\/08\/alegion-430x300.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":19327,"url":"https:\/\/insidebigdata.com\/2017\/11\/07\/ai-world-industrys-premier-event-focused-enterprise-ai-boston-december-11-13\/","url_meta":{"origin":30800,"position":1},"title":"AI World – Industry’s Premier Event Focused on Enterprise AI – Boston, December 11-13","date":"November 7, 2017","format":false,"excerpt":"AI World will be held December 11-13, 2017 at the Boston Marriott Copley in Boston, MA. Now in its' second year, AI World has become the industry's largest event focused on the state of the practice of enterprise AI and machine learning. AI World's mission is to enable enterprise business\u2026","rel":"","context":"In "AI Deep Learning"","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2017\/11\/AIWorld_2017_brochure.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":25067,"url":"https:\/\/insidebigdata.com\/2020\/09\/30\/how-can-we-best-identify-and-nurture-promising-ai-startups\/","url_meta":{"origin":30800,"position":2},"title":"How Can We Best Identify and Nurture Promising AI Startups?","date":"September 30, 2020","format":false,"excerpt":"In this special guest feature, Salvatore Minetti, CEO, Fountech.Ventures, outlines a number of important points for how we ought to help promising early-stage startups build towards commercial success. Investment alone is not enough, and solving key societal problems will only happen if we properly support and nurture the innovative AI\u2026","rel":"","context":"In "AI Deep Learning"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":17016,"url":"https:\/\/insidebigdata.com\/2017\/01\/29\/amplifying-human-potential-towards-purposeful-artificial-intelligence-a-perspective-for-cios\/","url_meta":{"origin":30800,"position":3},"title":"Amplifying Human Potential: Towards Purposeful Artificial Intelligence \u2013 A Perspective For CIOs","date":"January 29, 2017","format":false,"excerpt":"Infosys (NYSE: INFY), a global leader in consulting, technology, and next-generation services, released multinational research findings on artificial intelligence (AI) business impact, market maturity and expectations. The research report, Amplifying Human Potential: Towards Purposeful Artificial Intelligence, polled 1,600 senior business decision makers at large organizations across the world.","rel":"","context":"In "AI Deep Learning"","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2017\/01\/Infosys_AI_report.png?resize=350%2C200","width":350,"height":200},"classes":[]},{"id":31461,"url":"https:\/\/insidebigdata.com\/2023\/01\/24\/mit-experts-on-what-you-need-to-know-now-about-data-analytics\/","url_meta":{"origin":30800,"position":4},"title":"MIT Experts on What You Need to Know Now about Data Analytics","date":"January 24, 2023","format":false,"excerpt":"In a new series, \"The Analytics Edge,\" published by MIT Sloan School of Management\u2019s\u00a0Ideas Made to Matter, MIT Sloan faculty, alumni, and industry experts share practical tips for developing and cultivating a strong analytics practice designed to give companies and organizations a distinct advantage for the future.","rel":"","context":"In "Analytics"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":29320,"url":"https:\/\/insidebigdata.com\/2022\/05\/26\/the-promise-of-ai-maturity-theory-vs-practice\/","url_meta":{"origin":30800,"position":5},"title":"The Promise of AI Maturity – Theory vs. Practice","date":"May 26, 2022","format":false,"excerpt":"In this sponsored post, Phil Hall, Chief Growth Officer at LXT, discusses the results of their recent executive survey \"The Path to AI Maturity.\" The report highlights that investment in artificial intelligence is strong at mid-to-large US organizations, and 40% rate themselves at the three highest levels of AI maturity,\u2026","rel":"","context":"In "AI Deep Learning"","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2022\/05\/Key-business-drivers.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]}],"_links":{"self":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/30800"}],"collection":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/users\/10513"}],"replies":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/comments?post=30800"}],"version-history":[{"count":0,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/30800\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media\/30801"}],"wp:attachment":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media?parent=30800"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/categories?post=30800"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/tags?post=30800"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}