{"id":14737,"date":"2023-06-01T16:15:57","date_gmt":"2023-06-01T10:45:57","guid":{"rendered":"https:\/\/www.vue.ai\/blog\/?p=14737"},"modified":"2024-04-16T15:41:07","modified_gmt":"2024-04-16T10:11:07","slug":"7-takeaways-from-our-flagship-ai-transformation-conference-rebuild-23-jamaica","status":"publish","type":"post","link":"https:\/\/www.vue.ai\/blog\/trends-and-analysis\/7-takeaways-from-our-flagship-ai-transformation-conference-rebuild-23-jamaica\/","title":{"rendered":"What 42 AI practitioners can teach you about digital transformation"},"content":{"rendered":"Reading Time: <\/span> 5<\/span> minutes<\/span><\/span>\n

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Protagonists, propagandists, and practitioners of the AI-verse jammed in Jamaica on the 27th<\/sup> & 28th<\/sup> of April, 2023 for the third edition of REBUILD – the knowledge-sharing retreat from Vue.ai. Workflow automation to AI transformation, change management to customer experience, C-suite attendees exchanged notes on their AI initiatives to outpace innovation, to unlock new levels of consumer insight. Participants walked away with these takeaways.<\/p>\n\n\n\n

Tech\u2019s Pas de Deux<\/em>: AI Transformation and Change Management, in perfect harmony<\/strong> <\/span>\"\"<\/p>\n\n\n\n

Two guardrails guide Daniel G\u00e1ndara, VP – IT Product Development, MercadoLibre.com<\/strong> in aligning some 15,000 engineers across more than half a dozen countries, to adopt new technologies. (1) Does it move a metric \/ KPI tied to the company\u2019s P&L? (2) Does it improve user experience? Other secret ingredients in his recipe to brew a successful IT operation include a critical focus on the underlying data (a viewpoint seconded by Timo Weis, AVP & Data Strategist, Infosys<\/strong>), bringing in the right people to nurture them with the right work culture and, building a community of external partners for learning and sharing of experiences. \"\"<\/p>\n\n\n\n

Bypass the bias<\/span><\/strong>
The potential for bias is a heavy anchor in the sea of AI\u2019s possibilities. This is why governments such as the one in the state of NY mandate audits of all AI-generated work. The prolific preponderance of tribal knowledge in business landscapes necessitates a human in the AI loop to ensure good governance, said Amit Arora, Adjunct Associate Professor, Columbia University<\/strong>. <\/p>\n\n\n\n

Keep the data close, in-house<\/span><\/strong>\"\"
By retaining data processing and AI model building in-house, organizations secure data sovereignty and maintain strategic control over their intellectual assets, enabling them to safeguard proprietary insights and drive innovation from within, shared Murali<\/strong> Sundararajan<\/strong> as he explained his stints at Lowes<\/strong> and Victoria\u2019s Secret<\/strong>. <\/p>\n\n\n\n

Fundamental and foundational to the deployment of AI is the structuring and activation of \u201cclean\u201d data, elaborated Anand Chandrasekaran<\/strong>, Founder<\/strong> and CTO<\/strong>, Vue.ai<\/strong>. Modeling the interactions between the \u201cclean\u201d data and humans (end users, employees, etc) is at the core of all AI\/ML initiatives, at Vue.ai. Cascading down from auto-suggestions to auto-corrections to automation of the entire sequence, this enables efficient, at-scale implementation of AI. Touching upon the transition from a model-centric to a data-centric world that\u2018s underway, he elaborated the company\u2019s philosophy further, adding that in most cases the AI models developed by Vue.ai reside in the customer\u2019s environment. <\/p>\n\n\n\n

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