{"id":15286,"date":"2023-07-20T02:00:35","date_gmt":"2023-07-20T09:00:35","guid":{"rendered":"https:\/\/softwareengineeringdaily.com\/?p=15286"},"modified":"2023-08-28T16:24:43","modified_gmt":"2023-08-28T23:24:43","slug":"data-centric-ai","status":"publish","type":"post","link":"https:\/\/softwareengineeringdaily.com\/2023\/07\/20\/data-centric-ai\/","title":{"rendered":"Data-Centric AI with Alex Ratner"},"content":{"rendered":"<p><a href=\"https:\/\/i0.wp.com\/softwareengineeringdaily.com\/wp-content\/uploads\/2023\/07\/alex.png\"><img fetchpriority=\"high\" decoding=\"async\" data-attachment-id=\"15287\" data-permalink=\"https:\/\/softwareengineeringdaily.com\/2023\/07\/20\/data-centric-ai\/alex-5\/\" data-orig-file=\"https:\/\/i0.wp.com\/softwareengineeringdaily.com\/wp-content\/uploads\/2023\/07\/alex.png?fit=218%2C258&amp;ssl=1\" data-orig-size=\"218,258\" data-comments-opened=\"0\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"alex\" data-image-description=\"\" data-image-caption=\"\" data-medium-file=\"https:\/\/i0.wp.com\/softwareengineeringdaily.com\/wp-content\/uploads\/2023\/07\/alex.png?fit=218%2C258&amp;ssl=1\" data-large-file=\"https:\/\/i0.wp.com\/softwareengineeringdaily.com\/wp-content\/uploads\/2023\/07\/alex.png?fit=218%2C258&amp;ssl=1\" class=\"size-full wp-image-15287 alignright\" src=\"https:\/\/i0.wp.com\/softwareengineeringdaily.com\/wp-content\/uploads\/2023\/07\/alex.png?resize=218%2C258&#038;ssl=1\" alt=\"\" width=\"218\" height=\"258\" data-recalc-dims=\"1\" \/><\/a>Companies have high hopes for Machine learning and AI to support real-time product offerings, prevent fraud and drive innovation. But there was a catch &#8211; training models require labeled data that machines can digest. As data volumes increase, the opportunity to get great ML results rises, but so does the problem of labeling all the data to get that excellent result.<\/p>\n<p>Enter Snorkel AI\u2019s programmatic data labeling and MLops platforms like Snorkel Flow. Today we are interviewing <a href=\"https:\/\/twitter.com\/ajratner\/with_replies\">Alex Ratner<\/a>, one of the founders of <a href=\"https:\/\/snorkel.ai\/\">Snorkel AI<\/a>. Snorkel AI evolved from research Alex led as part of his Ph.D. research at Stanford, focused on programmatic data labeling to enable much faster and more accurate ML training and retraining.<\/p>\n<p>Alex is a born teacher who always has enthusiasm for the topic. Today he will share the newest evolutions of the product at Snorkel, shed light on why doing ML well requires programmatic data labeling, and talk about foundation models in actual enterprise settings and generally.<\/p>\n<p><span style=\"font-weight: 400;\"><a href=\"https:\/\/i0.wp.com\/softwareengineeringdaily.com\/wp-content\/uploads\/2023\/04\/jocelyn.png\"><img decoding=\"async\" data-attachment-id=\"14942\" data-permalink=\"https:\/\/softwareengineeringdaily.com\/2023\/04\/06\/streaming-analytics\/jocelyn-2\/\" data-orig-file=\"https:\/\/i0.wp.com\/softwareengineeringdaily.com\/wp-content\/uploads\/2023\/04\/jocelyn.png?fit=209%2C249&amp;ssl=1\" data-orig-size=\"209,249\" data-comments-opened=\"0\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"jocelyn\" data-image-description=\"\" data-image-caption=\"\" data-medium-file=\"https:\/\/i0.wp.com\/softwareengineeringdaily.com\/wp-content\/uploads\/2023\/04\/jocelyn.png?fit=209%2C249&amp;ssl=1\" data-large-file=\"https:\/\/i0.wp.com\/softwareengineeringdaily.com\/wp-content\/uploads\/2023\/04\/jocelyn.png?fit=209%2C249&amp;ssl=1\" class=\"size-full wp-image-14942 alignleft\" src=\"https:\/\/i0.wp.com\/softwareengineeringdaily.com\/wp-content\/uploads\/2023\/04\/jocelyn.png?resize=209%2C249&#038;ssl=1\" alt=\"\" width=\"209\" height=\"249\" data-recalc-dims=\"1\" \/><\/a>Starting her career as a software developer, Jocelyn Houle is now a Senior Director of Product Management at <\/span><a href=\"https:\/\/securiti.ai\/\"><span style=\"font-weight: 400;\">Securiti.ai,<\/span><\/a><span style=\"font-weight: 400;\"> a unified data protection and governance platform. Before that, she was an Operating Partner at <\/span><a href=\"https:\/\/growthventures.capitalone.com\/\"><span style=\"font-weight: 400;\">Capital One Ventures<\/span><\/a><span style=\"font-weight: 400;\"> investing in data and AI startups. Jocelyn has been a founder of two startups and a full life cycle, technical product manager at large companies like Fannie Mae, Microsoft and Capital One.\u00a0 Follow Jocelyn on <\/span><a href=\"https:\/\/www.linkedin.com\/in\/jocelyn\/\"><span style=\"font-weight: 400;\">LinkedIn <\/span><\/a><span style=\"font-weight: 400;\">\u00a0or Twitter <\/span><a href=\"https:\/\/twitter.com\/jocelynbyrne\"><span style=\"font-weight: 400;\">@jocelynbyrne.<\/span><\/a><\/p>\n<p style=\"text-align: center;\">Sponsorship inquiries: <a href=\"https:\/\/cms.megaphone.fm\/organizations\/619b680e-d813-11ea-9750-e7ecac406436\/podcasts\/e60108fe-e328-11ea-b2b6-1348249f900a\/episodes\/3913370a-bc44-11ed-ace6-8b1f96d82bba\/sponsor@softwareengineeringdaily.com\" target=\"_blank\" rel=\"noopener noreferrer\">sponsor@softwareengineeringdaily.com<\/a><\/p>\n<p><a href=\"http:\/\/softwareengineeringdaily.com\/wp-content\/uploads\/2023\/08\/SED1550-Data-Centric-AI-with-Alex-Ratner.txt\">Please click here to view this show\u2019s transcript<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Companies have high hopes for Machine learning and AI to support real-time product offerings, prevent fraud and drive innovation. But there was a catch &#8211; training models require labeled data that machines can digest. As data volumes increase, the opportunity to get great ML results rises, but so does the problem of labeling all the<\/p>\n","protected":false},"author":3,"featured_media":15288,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","enabled":false}}},"categories":[1363,1081,2143,5755,5761,14],"tags":[518,5775,888,311],"class_list":["post-15286","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-all-episodes","category-data","category-exclusive-content","category-hosts","category-jocelyn-byrne-houle","category-podcast","tag-ai","tag-alex-ratner","tag-data","tag-machine-learning"],"jetpack_publicize_connections":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Data-Centric AI with Alex Ratner - Software Engineering Daily<\/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:\/\/softwareengineeringdaily.com\/2023\/07\/20\/data-centric-ai\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data-Centric AI with Alex Ratner - Software Engineering Daily\" \/>\n<meta property=\"og:description\" content=\"Companies have high hopes for Machine learning and AI to support real-time product offerings, prevent fraud and drive innovation. But there was a catch &#8211; training models require labeled data that machines can digest. As data volumes increase, the opportunity to get great ML results rises, but so does the problem of labeling all the\" \/>\n<meta property=\"og:url\" content=\"https:\/\/softwareengineeringdaily.com\/2023\/07\/20\/data-centric-ai\/\" \/>\n<meta property=\"og:site_name\" content=\"Software Engineering Daily\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-20T09:00:35+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-08-28T23:24:43+00:00\" \/>\n<meta property=\"og:image\" content=\"http:\/\/softwareengineeringdaily.com\/wp-content\/uploads\/2023\/07\/snorkel_image.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1218\" \/>\n\t<meta property=\"og:image:height\" content=\"646\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"SE Daily\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@software_daily\" \/>\n<meta name=\"twitter:site\" content=\"@software_daily\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"SE Daily\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/softwareengineeringdaily.com\/2023\/07\/20\/data-centric-ai\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/softwareengineeringdaily.com\/2023\/07\/20\/data-centric-ai\/\"},\"author\":{\"name\":\"SE Daily\",\"@id\":\"https:\/\/softwareengineeringdaily.com\/#\/schema\/person\/822f06fe7d6f895baba29a9c0a3aa6c8\"},\"headline\":\"Data-Centric AI with Alex Ratner\",\"datePublished\":\"2023-07-20T09:00:35+00:00\",\"dateModified\":\"2023-08-28T23:24:43+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/softwareengineeringdaily.com\/2023\/07\/20\/data-centric-ai\/\"},\"wordCount\":261,\"publisher\":{\"@id\":\"https:\/\/softwareengineeringdaily.com\/#organization\"},\"image\":{\"@id\":\"https:\/\/softwareengineeringdaily.com\/2023\/07\/20\/data-centric-ai\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/i0.wp.com\/softwareengineeringdaily.com\/wp-content\/uploads\/2023\/07\/snorkel_image.png?fit=1218%2C646&ssl=1\",\"keywords\":[\"AI\",\"Alex Ratner\",\"data\",\"Machine Learning\"],\"articleSection\":[\"All Content\",\"Data\",\"Exclusive Content\",\"Hosts\",\"Jocelyn Byrne Houle\",\"Podcast\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/softwareengineeringdaily.com\/2023\/07\/20\/data-centric-ai\/\",\"url\":\"https:\/\/softwareengineeringdaily.com\/2023\/07\/20\/data-centric-ai\/\",\"name\":\"Data-Centric AI with Alex Ratner - 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