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AI & Enterprise Architecture: AI with Arun Show: Episode 13 with TIAA's Geeta Pyne
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This video is an interview with Geeta Pyne, who is Sr MD and chief enterprise architect at #TIAA .She talks about #architecture , #security , #ResponsibleAI and #AIGovernance, prioritization of AI use cases and business impact. Here are some key points from the interview: Architecture: Geeta Pyne discusses the importance of having a well-defined architecture for AI projects. She says that this will help to ensure that the AI system is scalable, reliable, and secure. Security: Geeta Pyne also talks about the importance of security when it comes to AI. She says that it is important to protect AI systems from unauthorized access and use. Responsible AI: Geeta Pyne believes that it is important to use AI responsibly. She says that we need to be aware of the potential risks of AI and take steps to mitigate them. AI governance: Geeta Pyne also discusses the importance of AI governance. She says that we need to have clear guidelines and policies in place to ensure that AI is used ethically and responsibly. Prioritization of AI use cases: Geeta Pyne also talks about the importance of prioritizing AI use cases. She says that we need to focus on the AI use cases that will have the biggest business impact. Overall, this is a very informative interview with Geeta Pyne. She provides a lot of valuable insights into the use of AI in the enterprise. Navigate your way thru the video: 0:00 - Intro and Geeta's journey in her early days at #isro 11:44 - Geeta's thinking about AI use cases, prioritization framework, AI governance, security & responsible AI 25:59 - Future trends in AI and Enterprise Architecture 30:53 - Rapid Fire Round with Geeta @AIwithArunShow #aiwitharunshow #TIAA #GeetaPyne #BusinessImpact #AIPrioritization #AIEnterprise #aistrategy @isroofficial5866 @vmware @broadcom @intuit #CareerAdvice#CareerJourney#techindustry #WomenInTech#leadership #GitaPyne#NVIDIA#DeepLearning#DataScience#TechCareer#CareerTips#CareerInspiration#WomenInLeadership#AIinBusiness#TechInnovation#AI#ArtificialIntelligence#MachineLearning#CareerChange#Motivation#BuiltToLead #NVIDIA
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