{"id":48936,"date":"2023-11-30T07:21:59","date_gmt":"2023-11-30T12:21:59","guid":{"rendered":"https:\/\/centricconsulting.com\/?p=48936"},"modified":"2023-11-29T09:22:43","modified_gmt":"2023-11-29T14:22:43","slug":"fix-your-data-win-at-ai-heres-how-to-get-started","status":"publish","type":"post","link":"https:\/\/centricconsulting.com\/blog\/fix-your-data-win-at-ai-heres-how-to-get-started\/","title":{"rendered":"Fix Your Data, Win At AI. Here\u2019s How To Get Started."},"content":{"rendered":"
A few years ago, one of Uber\u2019s self-driving<\/a> cars hit and killed a pedestrian crossing a street outside a crosswalk. What went wrong? When the technologists trained the car to recognize pedestrians, they mostly used images containing a crosswalk. They had inadvertently \u201ctaught\u201d the AI system that the crosswalk was the important part.<\/p>\n While most companies implementing AI into their operations aren\u2019t dealing with anything so important as human life, there\u2019s a salient lesson here: Feed AI systems bad data, you\u2019ll get bad results. AI will undoubtedly become the next big business differentiator, but only for companies that can get their data under control.<\/strong><\/p>\n Responsible AI is such a buzzword these days because so many companies have a serious data problem \u2014 they don\u2019t know what data they have. It\u2019s inconsistent and unsecure. And feeding unknown, unmanaged data into an AI system is just asking for a data breach, regulatory violation, misinformed strategic decisions, unintended bias, or reputational damage to happen.<\/p>\n The problem is many companies have a data mess on their hands. Either they have a haphazard strategy or no strategy at all for data governance<\/a>, the rules and processes for collecting, using and storing data.<\/p>\n Organizations don\u2019t pause to figure out their data strategy, intent on chasing after flashier, revenue-generating projects.<\/strong> However, when companies want to put that data together \u2014 say, for an AI tool \u2014 they can\u2019t do it because there aren\u2019t any overarching rules around how to handle data. They\u2019re left with a big mess that takes a hefty amount of time and investment to untangle.<\/p>\n Retroactively applying data governance to all the data in an organization is a colossal undertaking. Thankfully, it\u2019s not necessary to go that big to embark on your next AI project<\/a>.<\/p>\nBad Data, Bad AI<\/h2>\n
A Pragmatic Approach To Fixing Your Data<\/h2>\n