Become a Data Scientist with OAC
Mike Vickers, Rittman Mead
The concept of Business Intelligence is undergoing a significant change: from guessing based on trends of the past to implementing sophisticated machine learning models to predict the future. Not everybody, however, can follow the wave: the skill set needed to create, train and evaluate ML models is complex and most of the times different to the one in the hands of the typical analyst. The figure of Data Scientist is now rare and most companies can’t afford to include enough people with such role to cover all the analytics needs. Oracle Analytics Cloud aims to solve this problem by democratizing the concept of Data Science: data cleansing, enrichment, model training and evaluation are now tasks that can be performed visually in the tool lowering the barrier of Machine Learning. Are you evaluating if OAC can enhance your company forecasting ability? Are you an analyst looking to move your first steps into machine learning? Are you an experienced ML professional and want to know how to integrate your models into the tool used by your analysts? This presentation is your Kickstarter!
Mike has been one of Rittman Mead's Principal Consultants since joining in 2009. He has over 20 years experience delivering BI solutions, across both Oracle and non-Oracle platforms. Mike is deputy chair of the UKOUG Business Analytics SIG and Business Analytics Community Lead since 2015. He has presented at previous UKOUG, BA SIG and ORCAN events as well as the Rittman Mead BI Forum.