Over the next few weeks Big Data LDN will be revisiting some of the highlights from our 2019 Conference in November as part of our Refresh series. More than 130 sessions at Big Data LDN 2019 were recorded split across 8 distinct content streams; DataOps, Data-Driven, Self-Service Analytics, Customer Experience, Governance and Master Data Management, AI, Fast Data and  BluePrint (Data Architecture). We will be releasing a video daily, delivered by a leading member of the user, vendor or consultancy community on a range of topics.

AI and predictive analytics hold a great promise for organisations. Fraud detection, next-best action, operational efficiency and forecast analysis are among the many business challenges that AI and analytics can help solve. However, bad data is currently hindering AI since machine learning (ML) models are only as good as the data you feed them.

Our first session, delivered by Greg Hanson of Informatica, considers an end-to-end data engineering approaches to achieve clean data you can trust for successful AI initiatives incorporating data discovery, ingestion, integration, quality, prep, and governance.