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April 2017 eSummit: Designing to Manage Risk in Connected Everything

Designing to Manage Risk in Connected Everything by Wayne Anderson As more and more low-compute devices provide data that was kinetic but inaccessible in yesterday’s industry, we face a new challenge: how to accomplish business operations, realizing new value – while not also greatly increasing risk.  Learn more about approaches to design and apply

April 2017 eSummit: Machine Learning

Machine Learning by Krishnapriyan Sridharan Over his career spanning 19 years, Krishnapriyan Sridharan has focused on providing Technology Leadership & Strategic Direction, and Business / Technology architecture Consulting to Organization across multiple business domains. Most recently, he’s been helping a major Healthcare provider in transforming the IT infrastructure to a Digital Enterprise. Krishnapriyan Sridharan

4 Iasa August eSummit – Distributed AI Systems for Optimizing Human and Machine Intelligence

by Mark Montgomery This talk is based on two decades of R&D in AI systems, including several years in exploring use cases with management teams in global companies. Highlights of the talk include: Governance within the confines of applicable laws: Physics, economics and governments Benefits of a unified network architecture: Interoperability, scalability and ROI Quick

5 Iasa August eSummit – Designing Distributed Machine Learning Systems with Apache Spark 2.0

By Adj. Prof. Giuseppe Mascarella & Jacek Laskowski Apache Spark 2.0 and Scala have been designed to build mission critical applications that address the needs of processing distributed etherogenus data sets. For architects, Spark integrates Data Warehouse and Development domains, it can handle 100X faster the multi-node multi-threaded computing needs of demanding scenarios. In this session