2018 Machine Learning Predictions from the Experts Themselves

Our vast experience with planning data science conferences across a multitude of industries has enabled us to host, listen and learn valuable insights into the industry's most ambitious goals and research advancements. As the data science community heads towards 2018, we asked our top speakers to comment on 2017's most impactful achievements in Artificial Intelligence and make a few predictions for 2018. We summarize the most notable insights in this post, and offer expert commentary on the advancements, predictions and lessons learned regarding machine learning algorithms and deep learning systems. Daniel Monistere, SVP-Client Solutions at Nielsen points out the technology advancement electronic devices have met and the increase in their storage and data gathering capabilities. Also, applications have become intelligent being able to collect user data.