{"id":3530,"date":"2021-05-10T14:36:24","date_gmt":"2021-05-10T18:36:24","guid":{"rendered":"https:\/\/chrisgrundemann.com\/?post_type=avada_portfolio&#038;p=3530"},"modified":"2021-05-11T14:36:42","modified_gmt":"2021-05-11T18:36:42","slug":"utilizing-ai-s-2-ep-18-taking-machine-learning-on-the-road-with-ibm-and-b-plus","status":"publish","type":"avada_portfolio","link":"https:\/\/chrisgrundemann.com\/index.php\/portfolio\/utilizing-ai-s-2-ep-18-taking-machine-learning-on-the-road-with-ibm-and-b-plus\/","title":{"rendered":"Utilizing AI S.2 Ep.18: Taking Machine Learning on the Road with IBM and B-plus"},"content":{"rendered":"<div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:1372.8px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_2_3 2_3 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:66.6666666667%;--awb-margin-top-large:20px;--awb-spacing-right-large:2.88%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:2.88%;--awb-width-medium:66.6666666667%;--awb-order-medium:0;--awb-spacing-right-medium:2.88%;--awb-spacing-left-medium:2.88%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-widget fusion-widget-element fusion-widget-area fusion-content-widget-area wpWidget-1 wp_widget_media_video\" style=\"--awb-fusion-border-size:0px;--awb-fusion-border-style:solid;\"><div class=\"widget widget_media_video\"><div style=\"width:100%;\" class=\"wp-video\"><video class=\"wp-video-shortcode\" id=\"video-3530-1\" preload=\"metadata\" controls=\"controls\"><source type=\"video\/youtube\" src=\"https:\/\/youtu.be\/Cumbxqf7BLA?_=1\" \/><a href=\"https:\/\/youtu.be\/Cumbxqf7BLA\">https:\/\/youtu.be\/Cumbxqf7BLA<\/a><\/video><\/div><\/div><\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-1 fusion_builder_column_1_3 1_3 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:33.3333333333%;--awb-margin-top-large:20px;--awb-spacing-right-large:5.76%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:5.76%;--awb-width-medium:33.3333333333%;--awb-order-medium:0;--awb-spacing-right-medium:5.76%;--awb-spacing-left-medium:5.76%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-1\"><p>The development of autonomous vehicles is an excellent example of machine learning applied to industrial IoT. In this episode, Alexander Noack of b-plus and Frank Kr\u00e4emer of IBM Germany join Chris Grundemann and Stephen Foskett to discuss data collection on the road, central processing, and AI model training. Machine learning is part of the development of autonomous vehicle development and is also used in the production of vehicles. It is also used to filter data and enhance processing, and this is the same concept found in many edge and industrial use cases. Edge computing is relevant beyond AI, and these technologies are complementary, with the edge moving right into vehicles, factories, retail outlets, medical facilities, and more.<\/p>\n<p>Three Questions:<\/p>\n<p>1. When will we see a fully self-driving car that can drive anywhere, any time?<\/p>\n<p>2. Are there any jobs that will be completely eliminated by AI in the next five years?<\/p>\n<p>3. How small can ML get?<\/p>\n<p>Will we have ML-powered household appliances? Toys? Disposable devices?<\/p>\n<\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":4261,"featured_media":3531,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"portfolio_category":[972],"portfolio_skills":[971],"portfolio_tags":[1004,1049,986,1071,975],"class_list":["post-3530","avada_portfolio","type-avada_portfolio","status-publish","format-standard","has-post-thumbnail","hentry","portfolio_category-public-speaking","portfolio_skills-podcast","portfolio_tags-ai","portfolio_tags-artificial-intelligence","portfolio_tags-gestaltit","portfolio_tags-ibm","portfolio_tags-podcast"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Utilizing AI S.2 Ep.18: Taking Machine Learning on the Road with IBM and B-plus ~ Chris 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