{"id":14817,"date":"2023-06-27T15:27:50","date_gmt":"2023-06-27T09:57:50","guid":{"rendered":"https:\/\/www.vue.ai\/blog\/?p=14817"},"modified":"2023-10-20T14:16:55","modified_gmt":"2023-10-20T08:46:55","slug":"data-ai-abracadabra","status":"publish","type":"post","link":"https:\/\/www.vue.ai\/blog\/trends-and-analysis\/data-ai-abracadabra\/","title":{"rendered":"Data. AI. Abracadabra."},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_65 counter-hierarchy ez-toc-counter ez-toc-transparent ez-toc-container-direction\">\n<p class=\"ez-toc-title\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-69f63538a94e4\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-69f63538a94e4\" checked aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.vue.ai\/blog\/trends-and-analysis\/data-ai-abracadabra\/#first-you-wrestle-eventually-you-embrace\" title=\"First you wrestle, eventually you embrace\u00a0\">First you wrestle, eventually you embrace\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.vue.ai\/blog\/trends-and-analysis\/data-ai-abracadabra\/#data-dilemmas-in-companyland\" title=\"Data dilemmas in companyland\">Data dilemmas in companyland<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.vue.ai\/blog\/trends-and-analysis\/data-ai-abracadabra\/#machine-mandated-dress-codes-and-other-ai-implementation-woes\" title=\"Machine-mandated dress codes and other AI implementation woes\">Machine-mandated dress codes and other AI implementation woes<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.vue.ai\/blog\/trends-and-analysis\/data-ai-abracadabra\/#enterprises-and-ai-%e2%80%93-is-there-love-in-between\" title=\"Enterprises and AI &#8211; Is there love in between?\">Enterprises and AI &#8211; Is there love in between?<\/a><\/li><\/ul><\/nav><\/div>\n<span class=\"rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">Reading Time: <\/span> <span class=\"rt-time\">5<\/span> <span class=\"rt-label rt-postfix\">minutes<\/span><\/span>\n<p style=\"font-size:2px\">AI inspires loyalty and loathing alike, in good measure. Implementing AI at scale is challenging, for sure. But scaling teams, processes and tools in an integrated, cohesive manner offsets the setbacks and sets one up for a seamless transformation experience. How do businesses today view this tectonic shift led by AI? What are their considerations in charting the way forward? At a panel discussion convened by Vue.ai, at the REBUILD &#8217;23 Jamaica retreat, enterprise leaders revealed what it is about the technology that keeps them awake and metrics to sleep on, while considering AI partners to collaborate with.<\/p>\n\n\n\n<p>AI inspires loyalty and loathing alike, in good measure. Implementing AI at scale is challenging, for sure. But scaling teams, processes and tools in an integrated, cohesive manner offsets the setbacks and sets one up for a seamless transformation experience. How do businesses today view this tectonic shift led by AI? What are their considerations in charting the way forward? At a panel discussion convened by Vue.ai, at the REBUILD &#8217;23 Jamaica retreat, enterprise leaders revealed what it is about the technology that keeps them awake and metrics to sleep on, while considering AI partners to collaborate with.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"536\" src=\"https:\/\/www.vue.ai\/blog\/wp-content\/uploads\/2023\/06\/speakers-non-retaiul-panel-1-1024x536.jpg\" alt=\"\" class=\"wp-image-14835\" srcset=\"https:\/\/www.vue.ai\/blog\/wp-content\/uploads\/2023\/06\/speakers-non-retaiul-panel-1-1024x536.jpg 1024w, https:\/\/www.vue.ai\/blog\/wp-content\/uploads\/2023\/06\/speakers-non-retaiul-panel-1-300x157.jpg 300w, https:\/\/www.vue.ai\/blog\/wp-content\/uploads\/2023\/06\/speakers-non-retaiul-panel-1-768x402.jpg 768w, https:\/\/www.vue.ai\/blog\/wp-content\/uploads\/2023\/06\/speakers-non-retaiul-panel-1-150x79.jpg 150w, https:\/\/www.vue.ai\/blog\/wp-content\/uploads\/2023\/06\/speakers-non-retaiul-panel-1.jpg 1200w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"first-you-wrestle-eventually-you-embrace\"><\/span><strong>First you wrestle, eventually you embrace\u00a0<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Most change management plans work this way and AI transformation is no different. The panelists discussed the on-ground logistics of periodically surveying their world around for signals to act on, in the specific context of AI adoption. In both product- and services-oriented companies, Product Managers act as sentinels, sensitizing the management on the evolving tech scenarios and on the changes coming round the corner. Taking cognizance of the rapidly evolving landscapes, managements too have added ears to the ground to evaluate the availability of new-age opportunities and increase the top line. Companies such as Citigroup closely monitor the trends in music and app downloads for insights on user preferences. And certainly, a crucial part of change management is to have honest communication amongst the stakeholders, regarding the implications of AI and the new opportunities it could usher in.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"data-dilemmas-in-companyland\"><\/span><strong>Data dilemmas in companyland<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>AI can lay the groundwork; but human intervention is still necessary to eliminate bias. That\u2019s the basis of laws, such as the one promulgated in April 2023 by the state of New York, that requires human audits of AI-generated work, said Amit Arora. Amidst the rising reliance on AI algorithms to achieve greater business efficiencies, prioritizing their nuanced deployment is paramount for organizations, declared Amit. Sectors such as healthcare and insurance carry a very low margin for error, operating within highly regulated environments and thus requiring greater oversight to ensure safe and reliable decision outputs for end users. On the other hand, industries such as retail and telecom have more flexibility in AI implementation.<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube video-container wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Make AI Great Again\" width=\"1778\" height=\"1000\" src=\"https:\/\/www.youtube.com\/embed\/1HlIVUyu4jw?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen><\/iframe>\n<\/div><figcaption><em><span style=\"color:#339999\" class=\"has-inline-color\">What is it about AI that keeps the C-Suite awake and which metrics to sleep on, when considering partners to collaborate with? Enterprise leaders tell all at REBUILD \u201823 Jamaica.<\/span><\/em><\/figcaption><\/figure>\n\n\n\n<p>For the effectiveness of the audits, Carol Grunberg proposed audits by external members \u2013 conducted by individuals unfamiliar with the industry&#8217;s inner workings \u2013 to help uncover biases and ensure fair AI practices.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"machine-mandated-dress-codes-and-other-ai-implementation-woes\"><\/span><strong>Machine-mandated dress codes and other AI implementation woes<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>When the Board asks about the AI roadmap, the C-Suite feels nudged to answer in the affirmative. Lack of clarity in expectations amongst the leadership teams leads to communication gaps, hindering the application of right methodologies towards AI, lamented Amit Arora. Environmental, Social and Governance (ESG) issues related to the AI rollout are also increasingly dear to organizations, he pointed out. Convincing the management of one use case at a time by demonstrating the financial benefits of adopting AI was Dr.Karthik\u2019s prescription to increasing the technology\u2019s footprint across various functions. Should the AI technology be developed in-house or in collaboration with a partner? Or should it be outsourced completely? Where would the IP ownership rest? <em>(see related #POVue)<\/em> Is there an opportunity to white-label the developed technology for other organizations to deploy and gain incremental revenues? A few of the points to ponder over as panelists discussed the challenges organizations face in adopting AI and the factors that hinder its large-scale deployment.\u00a0<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube video-container wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Your data. Your AI. Your IP.\" width=\"1778\" height=\"1000\" src=\"https:\/\/www.youtube.com\/embed\/bZgvcBiwVFA?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen><\/iframe>\n<\/div><figcaption><em><span style=\"color:#339999\" class=\"has-inline-color\">The owner of the data is the owner of the IP for the AI algorithms that connect the data to specific use cases, asserted Anand Chandrasekaran, Founder and CTO, elaborating Vue.ai\u2019s stance on IP ownership of the AI programs developed for its clients.<\/span><\/em><\/figcaption><\/figure>\n\n\n\n<p>Being a critical aspect of both product- and services-led organizations, customer experience is also a domain that lends itself well to leverage automation for innovation. Acknowledging the opportunities AI presents to engage, educate and excel in customer delight, Washington voiced the need to strengthen AI in the two key areas of data bias and ethics.&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"536\" src=\"https:\/\/www.vue.ai\/blog\/wp-content\/uploads\/2023\/06\/POVue-anand-ip-ownership-1024x536.jpg\" alt=\"\" class=\"wp-image-14823\" srcset=\"https:\/\/www.vue.ai\/blog\/wp-content\/uploads\/2023\/06\/POVue-anand-ip-ownership-1024x536.jpg 1024w, https:\/\/www.vue.ai\/blog\/wp-content\/uploads\/2023\/06\/POVue-anand-ip-ownership-300x157.jpg 300w, https:\/\/www.vue.ai\/blog\/wp-content\/uploads\/2023\/06\/POVue-anand-ip-ownership-768x402.jpg 768w, https:\/\/www.vue.ai\/blog\/wp-content\/uploads\/2023\/06\/POVue-anand-ip-ownership-150x79.jpg 150w, https:\/\/www.vue.ai\/blog\/wp-content\/uploads\/2023\/06\/POVue-anand-ip-ownership.jpg 1200w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"enterprises-and-ai-%e2%80%93-is-there-love-in-between\"><\/span><strong>Enterprises and AI &#8211; Is there love in between?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Citing proven use cases in tele-ophthalmology to diagnose Diabetic Retinopathy, in tele-radiology to draw automated interpretations and insights from X-Ray, CT and MRI images, in the tele-diagnosis and differentiation of COVID vs non-COVID pneumonia and of cardiac attack vs gastritis, Dr.Karthik expanded on the utility of AI in healthcare. Personalization of insurance premia based on individualized risk assessments and accelerating drug discovery were other areas where AI\u2019s impact in healthcare has been demonstrated.<\/p>\n\n\n\n<p>Juxtapose this against a global group such as Citi that faces a different set of challenges \u2013 internal and external. Aggregation of customer records from across a multitude of touchpoints, developing unified user journeys, compiling a golden source of user profiles and sharing the information across the entire organization, spread over wide geographies is a challenge that AI could help solve, revealed Carol Grunberg. The mixed nature of client data, including its quality and structured-vs-non-structured-ness is a challenge for AI to measure up to. Demonstrating the ability to learn from data and adapting quickly is critical to advancing disruption and generating value across the chain, emphasized Washington Drumond, explaining his organization\u2019s priorities.&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube video-container wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\nhttps:\/\/youtu.be\/E8NTDmFS4vM\n<\/div><figcaption><span style=\"color:#339999\" class=\"has-inline-color\"><em>AI can lay the groundwork; but human intervention is still necessary to eliminate bias. Amidst the rising reliance on AI algorithms to achieve greater business efficiencies, prioritizing their nuanced deployment is paramount.<\/em><\/span><\/figcaption><\/figure>\n\n\n\n<p>Although AI can auto-generate medical prescriptions at scale, a human doctor&#8217;s intervention is required by law for validation. Dr. Karthik Anantharaman stressed the importance of AI getting up to speed in order to facilitate at-scale deployment while minimizing human interventions in healthcare. The see-saw balance between disruption\/innovation unleashed by AI on the one hand and data governance mandates on the other is a play to be well rehearsed, if companies are to effectively use AI to improve efficiencies, per Washington Drumond.<\/p>\n\n\n\n<p>The session was moderated by Shelly who explained the utility of AI in a spectrum of use cases right from automobiles (Tesla) to clinical analysis (Cure.ai). Valuable takeaways on the whole from the discussion, as business leaders geared up to drop anchor in these unchartered waters.<\/p>\n","protected":false},"excerpt":{"rendered":"<p><span class=\"rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">Reading Time: <\/span> <span class=\"rt-time\">5<\/span> <span class=\"rt-label rt-postfix\">minutes<\/span><\/span> Enterprise leaders reveal what it is about AI that keeps them awake and metrics to sleep on, while considering AI partners to collaborate with. <\/p>\n","protected":false},"author":23,"featured_media":14818,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[143],"tags":[1488,1487],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Data. AI. Abracadabra. | Vue.ai Blog<\/title>\n<meta name=\"description\" content=\"Enterprise leaders reveal what it is about AI that keeps them awake and metrics to sleep on, while considering AI partners to collaborate with.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.vue.ai\/blog\/trends-and-analysis\/data-ai-abracadabra\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data. AI. 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