{"id":32781,"date":"2023-07-06T03:00:00","date_gmt":"2023-07-06T10:00:00","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=32781"},"modified":"2023-06-30T13:39:17","modified_gmt":"2023-06-30T20:39:17","slug":"power-to-the-data-report-podcast-ai-washing","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2023\/07\/06\/power-to-the-data-report-podcast-ai-washing\/","title":{"rendered":"Power to the Data Report Podcast: AI Washing"},"content":{"rendered":"\n<p>Hello, and welcome to the \u201cPower-to-the-Data Report\u201d&nbsp;<a href=\"https:\/\/insidebigdata.com\/category\/resources\/podcast\/\" target=\"_blank\" rel=\"noreferrer noopener\">podcast<\/a>&nbsp;where we cover timely topics of the day from throughout the Big Data ecosystem. I am your host Daniel Gutierrez from insideBIGDATA where I serve as Editor-in-Chief &amp; Resident Data Scientist.<\/p>\n\n\n\n<p>Today\u2019s topic is &#8220;AI Washing,&#8221; an aspect of today&#8217;s significant hype cycle surrounding artificial intelligence.  AI Washing is a marketing effort wherein vendors claim their products and\/or services offerings involve AI technology when they really don&#8217;t or the connection to AI is minimal. <\/p>\n\n\n\n<figure class=\"wp-block-audio\"><audio controls src=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2023\/06\/20230630_Power_to_the_Data_Report_podcast_AI_Washing.mp3\"><\/audio><\/figure>\n\n\n\n<p><em>Sign up for the free insideBIGDATA&nbsp;<a href=\"http:\/\/inside-bigdata.com\/newsletter\/\" target=\"_blank\" rel=\"noreferrer noopener\">newsletter<\/a>.<\/em><\/p>\n\n\n\n<p><em>Join us on Twitter:&nbsp;<a href=\"https:\/\/twitter.com\/InsideBigData1\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/twitter.com\/InsideBigData1<\/a><\/em><\/p>\n\n\n\n<p><em>Join us on LinkedIn:&nbsp;<a href=\"https:\/\/www.linkedin.com\/company\/insidebigdata\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.linkedin.com\/company\/insidebigdata\/<\/a><\/em><\/p>\n\n\n\n<p><em>Join us on Facebook:&nbsp;<a href=\"https:\/\/www.facebook.com\/insideBIGDATANOW\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.facebook.com\/insideBIGDATANOW<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Hello, and welcome to the \u201cPower-to-the-Data Report\u201d\u00a0podcast\u00a0where we cover timely topics of the day from throughout the Big Data ecosystem. I am your host Daniel Gutierrez from insideBIGDATA where I serve as Editor-in-Chief &#038; Resident Data Scientist. Today\u2019s topic is &#8220;AI Washing,&#8221; an aspect of today&#8217;s significant hype cycle surrounding artificial intelligence.  AI Washing is a marketing effort wherein vendors claim their products and\/or services offerings involve AI technology when they really don&#8217;t or the connection to AI is minimal. <\/p>\n","protected":false},"author":37,"featured_media":32738,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[526,182,180,67,268,56,97,83,1],"tags":[437,1330,324,95],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Power to the Data Report Podcast: AI Washing - 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\/2023\/07\/06\/power-to-the-data-report-podcast-ai-washing\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Power to the Data Report Podcast: AI Washing - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"Hello, and welcome to the \u201cPower-to-the-Data Report\u201d\u00a0podcast\u00a0where we cover timely topics of the day from throughout the Big Data ecosystem. I am your host Daniel Gutierrez from insideBIGDATA where I serve as Editor-in-Chief &amp; Resident Data Scientist. Today\u2019s topic is &quot;AI Washing,&quot; an aspect of today&#039;s significant hype cycle surrounding artificial intelligence. AI Washing is a marketing effort wherein vendors claim their products and\/or services offerings involve AI technology when they really don&#039;t or the connection to AI is minimal.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/insidebigdata.com\/2023\/07\/06\/power-to-the-data-report-podcast-ai-washing\/\" \/>\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=\"2023-07-06T10:00:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-06-30T20:39:17+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2023\/06\/Power-Data-column-banner_special.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1100\" \/>\n\t<meta property=\"og:image:height\" content=\"550\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Daniel Gutierrez\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@AMULETAnalytics\" \/>\n<meta name=\"twitter:site\" content=\"@insideBigData\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Daniel Gutierrez\" \/>\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\/2023\/07\/06\/power-to-the-data-report-podcast-ai-washing\/\",\"url\":\"https:\/\/insidebigdata.com\/2023\/07\/06\/power-to-the-data-report-podcast-ai-washing\/\",\"name\":\"Power to the Data Report Podcast: AI Washing - insideBIGDATA\",\"isPartOf\":{\"@id\":\"https:\/\/insidebigdata.com\/#website\"},\"datePublished\":\"2023-07-06T10:00:00+00:00\",\"dateModified\":\"2023-06-30T20:39:17+00:00\",\"author\":{\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2540da209c83a68f4f5922848f7376ed\"},\"breadcrumb\":{\"@id\":\"https:\/\/insidebigdata.com\/2023\/07\/06\/power-to-the-data-report-podcast-ai-washing\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/insidebigdata.com\/2023\/07\/06\/power-to-the-data-report-podcast-ai-washing\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/insidebigdata.com\/2023\/07\/06\/power-to-the-data-report-podcast-ai-washing\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/insidebigdata.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Power to the Data Report Podcast: AI Washing\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/insidebigdata.com\/#website\",\"url\":\"https:\/\/insidebigdata.com\/\",\"name\":\"insideBIGDATA\",\"description\":\"Your Source for AI, Data Science, Deep Learning &amp; 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\/2540da209c83a68f4f5922848f7376ed\",\"name\":\"Daniel Gutierrez\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/5780282e7e567e2a502233e948464542?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/5780282e7e567e2a502233e948464542?s=96&d=mm&r=g\",\"caption\":\"Daniel Gutierrez\"},\"description\":\"Daniel D. Gutierrez is a Data Scientist with Los Angeles-based AMULET Analytics, a service division of AMULET Development Corp. He's been involved with data science and Big Data long before it came in vogue, so imagine his delight when the Harvard Business Review recently deemed \\\"data scientist\\\" as the sexiest profession for the 21st century. Previously, he taught computer science and database classes at UCLA Extension for over 15 years, and authored three computer industry books on database technology. He also served as technical editor, columnist and writer at a major computer industry monthly publication for 7 years. 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