This Meetup will focus on Signal Processing (analyzing, synthesizing, & modifying signal data) & Predictive Analytics (analyzing current & historical facts to make predictions about future or otherwise unknown events) within the context of IoT. These data analytics & machine learning techniques are often employed for the efficient servicing of connected devices & machines before failure or catastrophe, thereby reducing the time, money & pain of owner, operator, or customer.
Joining us to discuss these topics are:
Stuart Feffer, Co-Founder & CEO @ Reality AI
About Reality AI (https://re Intended for use by R&D departments at companies creating devices & equipment instrumented with sensors, Reality AI Tools generate detection code that can be incorporated into our customers products, running either in the cloud, or at the edge on inexpensive, commodity hardware. Works with any type of sensor, alone or in sensor fusion. Best for higher sample-rate applications. Customers in automotive, industrial & consumer products sectors. Reality AI holds 10 patents & 6 patents-pending, all in the field of machine learning as applied to sensors & signals.
Speaker Bio: Coming soon!
Talk abstract: Sensors are everywhere - wearables, connected devices, even old industry products are now becoming instrumented & turning smart. But working with sensor data - particularly sensor data in the form of signals - can be very difficult. High sample-rate signals like sound, vibration, accelerometry & electrical signals are usually the domain of the signal processing engineer, but there are new machine learning & AI-driven techniques that make these types of data much easier to work with, & much easier to blend with data from other sensors. This session will help you better understand:
The difference between time-series & signal data in sensors
How to determine the right approach for working with each
How to use the latest machine learning & AI techniques on this kind of data
Differences using an embedded solution, & what tools are available to help
Artem Kroupenev, VP Product @ Augury (https://www.augury.com/)
About Augury (www.augury.com): Augury brings internet-age technologies into the maintenance world & combines them with the gold-standard practices of Predictive Maintenance. Ideal for use in factories, commercial buildings & even homes, our platform enables facility owners & service companies to deploy quick, cost-efficient & scalable predictive maintenance strategies that reduce environmental impact, energy usage & operational costs. We teamed up certified Vibration Analysis experts with Machine Learning algorithm experts in order to build the mechanical diagnostics platform of the Internet of Things.
Speaker Bio: Artem is VP of Product at Augury, where he oversees the development of Augurys current & future machine diagnostic & predictive maintenance solutions. He has over 10 years of experience in product, innovation & business development, & has co-founded & helped grow enterprise-focused startups in Israel, New York & West Africa. Prior to joining Augury, Artem was entrepreneur in residence at Bionic, a leading enterprise innovation consultancy based in NYC. In his previous roles, he served as Co-founder & COO of Choozer, & Co-founder & VP Product of HDID. Artem holds & BA & MA from IDC Herzliya in Israel.
Talk abstract: Coming soon!
