HomeEnterprise IoT SummitShaping driver behavior with machine learning

Shaping driver behavior with machine learning

Share on FacebookShare on Google+Tweet about this on TwitterShare on LinkedInEmail this to someone

Shaping driver behavior with machine learning

Bob Newkirk, Chief Advisor – IoT Market Development 

Bob Newkirk heads strategy and partnerships for Tourmaline Labs, a leading-edge provider of connected-vehicle and driver-behavior intelligence. Telematics service providers (TSPs), insurance firms, auto OEMs, and others, now have the means to easily acquire, interpret and analyze telemetry-based metrics. Tourmaline Labs achieves this through a proven framework of machine-learning algorithms, patented AI behavior modeling and knowledge-centric analytics, designed by a team of seasoned engineers and industry SME’s formerly with Qualcomm, PARC, CalAmp, NetworkFleet (now Verizon), @Road (now Trimble) and TeleTrac, among others.
Tourmaline Labs channel partners include KORE Position Logic and other leading TSPs, who are paving the way with fleet, transportation, distribution and other telematics solutions that solve the UBI, driver-performance and logistics challenges of tomorrow.
Prior to RampWise, Bob was the Director of Channels at CalAmp (NASDAQ: CAMP), a pure-play pioneer in the connected vehicle mobile resource management (MRM) and broader Industrial Internet of Things (IoT) marketplace. CalAmp recently acquired LoJack, a renowned vehicle protection, tracking and recovery front-runner, to create a new industry leader uniquely positioned to deliver innovative and comprehensive connected car and vehicle telematics services worldwide.

IoT big data
Previous post
What IoT and Big Data tell us about the future of Fleets
Next post
Utilizing IoT for improved traffic safety, intelligent transportation and connected cars