Data 4 Breakfast

Jamie Hankinson is the CEO & Co-founder at Eli Technologies Corp, a Vancouver-based real estate technology company developing software products for the residential and commercial real estate industry. Jamie calls in to talk to the guys about Eli Report, a software that analyzes strata documents and summarizes the results in a unique way. Hank, Jordan, and Cal also talk about their experiences being on a strata council, machine learning and document analysis, funny strata stories, childhood video games, the introduction of the Low Latency Round, and much more!

Hank McQueen is the Senior Development Manager at Concert Properties, a real estate company based in Vancouver whose commercial assets are valued at over $5 billion. Hank calls into the podcast to share how data can be used to build better homes and smarter more efficient cities. The guys also talk about Hank's early days as a firefighter, working with the City of Toronto, the value of digital marketing, the best 90's business movies and how COVID-19 may change the way cities are built in the future.

Kyle Treleaven is the Vice President and General Manager at BrainStation, a global technology school offering corporate training, Diploma programs, and certificate courses. These programs are built around the most important components of the ever-evolving digital product lifecycle which are data, design, development, marketing, and product. Kyle calls into the podcast to talk with Jordan and Cal about the power of online education systems, data-driven learning, how various industries are adjusting to COVID-19, and what's next for BrainStorm.

Alistair Clark, a former athlete with Rugby Canada and Head of Product at “I Will Teach You to be Rich” calls into the podcast to talk with Jordan and Cal about practical aspects of Data Science. Alistair is currently undertaking a Master’s of Data Science Degree at UBC and shares how the science is emerging as a vital part of business today. The guys discuss how applications use data to solve business matters and predict trends, the power of machine learning and decision making, coding and the future of Data Science.