{"version":"1.0","provider_name":"Stanford AI Symposium","provider_url":"https:\/\/conferences.law.stanford.edu\/aisymposium","author_name":"Monika Peschke Suhr","author_url":"https:\/\/conferences.law.stanford.edu\/aisymposium\/author\/peschke\/","title":"Powering Business and Operations with AI and Data Science - Stanford AI Symposium","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"7iD7fndkOD\"><a href=\"https:\/\/conferences.law.stanford.edu\/aisymposium\/sessions\/session_2\/\">Powering Business and Operations with AI and Data Science<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/conferences.law.stanford.edu\/aisymposium\/sessions\/session_2\/embed\/#?secret=7iD7fndkOD\" width=\"600\" height=\"338\" title=\"&#8220;Powering Business and Operations with AI and Data Science&#8221; &#8212; Stanford AI Symposium\" data-secret=\"7iD7fndkOD\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/conferences.law.stanford.edu\/aisymposium\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","description":"It is increasingly evident that AI and Data Science will play a critical role in powering the future of operations. But how can you tell the noise apart from the substance, and how can you deploy AI and ML systems in practice so that they are reliable, scalable, and work well with humans in the loop? In this session, we will dive into some of the recent advancements in AI and Data Science, learn how they will impact operations, and examine some of the foundational principles around how to build organizations and company cultures that will maximally leverage the benefit of AI and Data. The goal of the session is to teach enduring tools and principles that will aid participants\u2019 thinking in the long term, and not to engage in a broad review of the latest AI advancements and applications."}