Speakers

Philippe Cases

CEO, Readwrite Labs

I am the Co-Founder and CEO of Topio Networks, an industry catalyst accelerating the formation markets by creating communities. Topio Networks has a community of 1.2 million professionals dedicated to making the business of connected things a reality.

In addition to running the company, I specialize my practice in Artificial Intelligence and Big Data, Mobility and Smart Cities authoring or coauthoring landscapes in Artificial Intelligence, Big Data, Mobility (connected cars and automated vehicles). I am also a frequent speaker at industry conferences and run the weekly readwrite labs webinar.

Prior to Topio, I was a General Partner of venture funds and made investments consistently as a Venture Capitalist in data technology with companies such as RIghtpoint (Acq. by e.piphany) , Adknowledge (Acq. by CMGI), Inquira (Acq, by Oracle), Vue Technology (Acq. by Sensormatic), Jaspersoft (Acq. by Tibco), Silk Technology (Acq. By Palantir), and Akili Interactive.

I have been my entire life interested by innovation: while in engineering school, I helped launch my school local radio station and my home town first job fair. During my first job in the mid-1980s, I became interested in Big Data and AI. At the time, I helped develop one of the first commercial rule engines to select loans and build a report generator focused on evaluating company financial risks. Both products have been used at the time in the bank branches.

As part of being an investor, I spotted SaaS as a trend in 1997 and made my first investments in the space then. Following the early 2000 meltdown, I developed a model to spot financial trends and evaluate timing of investment opportunities. This approach contributed to my firm top decile fund return in the two funds I was involved with. The landscapes that you are seeing now are directly inherited from this methodology.

Session Track: IIoT for Products & Service

Times for this session to be announced soon

IP1479B - On The Edge: Assessing the Current State of Edge Computing

A diverse range of high growth application areas including AI, IoT, network functions virtualization (NFV), Augmented Reality, video, cloud gaming & self-driving vehicles are creating new demands that cannot be met by existing infrastructure. A new architecture, Edge Computing, is required to deal with low latency, application autonomy, data security and bandwidth thinning, which all require greater capability closer to the point of consumption.

This presentation will review the first use cases of edge computing and the initial market feedback, the technologies necessary to implement edge computing, and their level of maturity. Attendees will walk away understanding sizing in the market, insights into edge computing, challenges, trends to watch, latency and its discontents, and fixing the middle mile.

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