Geotab Data Bootcamp recap 2019
Table of contents
A recap of the first ever Geotab Data Bootcamp 2019.
Fleet and connected vehicle professionals gathered for the first ever Geotab Data Bootcamp, a four day event featuring instructor-led and hands-on workshops. The goal of the event was to give business leaders and professionals the opportunity to learn about managing and delivering solutions using big data. The workshops focused on AI, machine learning, and data-related topics hosted by various subject matter experts. Registration filled very quickly but don’t worry if you missed it, here is the event recap.
Day 1: Core concepts
Attendees had the opportunity to hear from thought leaders from Google, Deloitte and other industry experts on how to effectively leverage business data and AI. The bootcamp was divided into two streams:
- Management stream: Featuring thought leaders and data scientists from Geotab, as well as guest speakers who discussed core concepts in AI and machine learning for business.
- Technical stream: Consisting of hands-on training in AI, data engineering and visualization, with an emphasis on telematics.
Day 2: Big data basics with a telematics twist
Geotab’s CEO, Neil Cawse kicked off a full day of management focused sessions while emphasizing the importance of big data. He provided insight on how Geotab leverages big data to drive growth and innovation. The main message from his talk was to start tapping into your own business intelligence today.
Data privacy, AI and telematics strategy were more hot topics on Day 2. Keynote speakers from Google, Element.ai, and Deloitte shared insights with attendees on how to best leverage data and AI in business. A fleet case study from Second Harvest was also highlighted.
Day 3: Building on the basics
Daniel Lewis, Senior Data Scientist at Geotab, kicked off Day 3. Attendees had the opportunity to build their own — and for some, their very first — machine learning model. Armed with new-found knowledge, they explored how this can be applied to business processes like predictive and preventative maintenance. Attendees also picked up skills in data preparation and data storytelling, including hands-on experience with some popular dashboarding platforms.
Day 4: Building it all together
The last day of the bootcamp was about bringing it all together. Key themes included:
- Data pipelines and harnessing your raw data for predictive maintenance
- Building algorithms for driving patterns to automatically create and classify zones
- Visualizing large volumes of data, including how to map them and solve complex problems by organizing and analyzing large datasets
The day finished with a hands-on session that had all attendees build a fully functioning MyGeotab Add-In, which leveraged the application and connected to BigQuery for line of business data. At the end of the bootcamp, attendees received a well-earned a certificate of completion.
Thank you to everyone who attended this successful training program. We look forward to hosting more bootcamp events.
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Bob Bradley is the Associate Vice President, Data Solutions for Geotab, transforming data insights from connected vehicles into actionable solutions for customers and partners
Geotab's blog posts are intended to provide information and encourage discussion on topics of interest to the telematics community at large. Geotab is not providing technical, professional or legal advice through these blog posts. While every effort has been made to ensure the information in this blog post is timely and accurate, errors and omissions may occur, and the information presented here may become out-of-date with the passage of time.
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