Online: Edge Device Computing for Machine and Deep Learning

Edge computing is a distributed computing model in which computing takes place near the physical location where data is being collected and analyzed, rather than on a centralized server or in the cloud. According to Gartner "91% of today’s data is created and processed in centralized data centers. By 2022 about 75% of all data will need analysis and action at the edge."

Agenda

12:00 PM -- Greetings

12:05 PM -- Edge Device Computing for Machine and Deep Learning - Steve Milligan

01:30 PM -- Closings

Location

Zoom and YouTube Streaming
A link will be sent out prior to the event. Please note that Zoom is capped at 100, so if you do not get into the Zoom, you will be able to watch via YouTube.

Talks

Edge Device Computing for Machine and Deep Learning
This talk will explore a collection of Edge Devices owned and used by the speaker. We will explore the capabilities and challenges associated with these devices with the goal of understanding how they can be used in an agile development ecosystem that is efficient, supports prototyping, saves costs, and is easier to manage and maintain.

Speakers

Steve Milligan
Steve is the Head of a Data Analytics and Financial Services practice. As a licensed Certified Public Accountant (CPA), financial professional and agile practitioner, Steve helps to make the hard work associated with quantitative methods (data analytics, AI, ML, stochastic forecasting) easier for individuals and organizations to implement. Steve is certified by IC Agile to teach Business Analysis, Project Management and Agile Finance and enjoy delivering training sessions on these topics and is also an authorized IC Agile instructor and Expert.