The third session has been more an "educational presentation" around deep learning, and how at high level a deep learning system work, however we have seen in this talk some interesting topics: The fourth session has been one also an interesting session, because the speaker clearly explained the current possibilities and limits of the current application development landscape and in particular of the enterprise bots. Key take away: Bots are far from being smart and people don't want to type text. Suggested approach bots are new apps that are reaching their "customers" in the channels that they already use (slack for example) and those new apps using the context and channel functionalities have to extend and at the same time simplify the IT landscape. Example: bot in a slack channel that notifies manager of an approval request and the manager can approve/deny directly in slack without leaving the app. The fourth and the fifth talk have been rather technical/educational on specific frameworks (IBM System ML for Spark) and on models portability (PMML) with some good points around hyper parameter tuning using a spark cluster in iterative mode and DNN auto encoders.