The Data Science Meetup starts at 7pm in the TPL.
** 1 – Blockchain – Gerard Cognet-Fante **
Blockchain is a shared, replicated ledger and deliver the foundation for a new generation of transactional applications that establish trust and transparency. IBM has established itself as a thought leader in blockchain through its ongoing contributions to the Linux Foundation Hyperledger project, which aims to build a truly open blockchain fabric that meets the needs of business. It is also working extensively with clients worldwide to help them understand what blockchain can do for them and how they can move on their path to adopt this exciting technology. The session will cover experiences made in projects, use cases and a demonstration.
** 2 – Serverless Cloud Functions for IOT Applications – Tim Waizenegger **
Cloud functions are a new cloud platform service. Developers write small program functions that are only executed on demand by the platform, triggered by different events.
This demo shows an example IOT application using a temperature/humidity sensor and e-ink display, both connected to wifi. We will explore how Cloud Functions can be used to interact with such devices and how we can realize IOT applications with them.
** 3 – Watson Studio & Knowledge Catalog overview + demo – Thomas Schaeck**
Watson Studio IBM Cloud enables Data Scientists, Data Engineers, Business Analysts and AI Experts to collaborate on projects as teams to access, analyze, and visualize data, as well as machine learning, deep learning, and visual recognition. … train models and use them from applications via APIs. Projects in Watson Studio can also access data and analytics assets in the Watson Knowledge Catalog or share data and analytics assets from Knowledge Catalog projects to share and reuse assets across the enterprise.