Did you miss a session at the Data Summit? As data becomes the new oil, organizations across sectors are racing to leverage their (often siloed) information management systems and drive value across functions with viable AI applications. The need has surged the demand for competent data scientists and analytics professionals, but even with the proper talent, bringing data-driven products to life can be quite a task. According to two Gartner reports, just 53% of AI and ML projects make it to production and 85% of the lot typically fail to deliver on their intended results. Despite the challenges, including data quality issues, Gap, which is one of the biggest clothing and accessories retailers in the world, has come out with the successful implementation of data and AI to solve key business problems.