AmbassadorVignesh Govindarajan RavichandranAssistant Vice President - Quality Engineering United StatesVerified Community AmbassadorJoin / Sign In to ConnectIdentified ExpertiseData & Analytics1Data Center1Enterprise Applications0Data Governance0Content Vignesh is FollowingWhat is your typical weekly work schedule look like?AvailabilityCulture & Values+1 more< 40 hrs40 - 55 hrs56 - 65 hrs66 - 75 hrs76 - 85 hrs> 85 hrsView Results46k viewscircle iconLightbulb on9 Upvotescircle icon1 CommentLightbulb offUpvoteConversationCommentSaveSaveShareShareHow rooted is GenAI in your work?Applications & PlatformsCloud+15 moreCannot work without GenAISlowly getting into itI can work without GenAIIDKView Results35.2k viewscircle iconLightbulb on9 Upvotescircle icon5 CommentsLightbulb offUpvoteConversationCommentSaveSaveShareShareHow does one articulate the business case for effective data governance?Data & AnalyticsData CenterVignesh Govindarajan RavichandranAssistant Vice President - Quality Engineering 2 years agoIdentify the value drivers of data governance for your organization, such as improving data quality, enhancing data security, increasing data accessibility, or complying with data regulations.Understand the pain points or ...read moreLightbulb on3 Lightbulb offUpvotereply-iconCommentRead More Comments19k viewscircle iconLightbulb on17 Upvotescircle icon7 CommentsLightbulb offUpvoteConversationCommentSaveSaveShareShareLooking for a Governance framework for GenAI, does anyone have any helpful insights to share?Vignesh Govindarajan RavichandranAssistant Vice President - Quality Engineering 7 months agoWe utilized the below rules:1. Categorize internal/external plus audited (facts, authorized data providers)/ unaudited (email content, chats etc which might or might not be true) data2. Build a data governance process ...read moreLightbulb on1 Lightbulb offUpvotereply-iconCommentRead More Comments3k viewscircle icon4 CommentsLightbulb offUpvoteConversationCommentSaveSaveShareShare
Understand the pain points or ...read more