Strategic plans are becoming increasingly critical for improving health and safety in the construction industry. The ability to forecast risk using predictive analysis allows companies to be proactive and effective at reducing and preventing jobsite incidents.
In this episode of #BuiltDifferent, Matt and Chris joined Josh Kanner, Founder and CEO at Newmetrix to discuss using artificial intelligence (AI) to reduce project risks by utilizing data like StructionSite's and combining it with 15 centuries of historical data to provide valuable predictive insights.
👉 How a beer hangout birthed a new career in the AI space
👉 Josh early stages at Vela Systems (now known as BIM360)
👉 The big jump: going from idea to business
👉 Partnering with early adopter customers
👉 Technological challenges in the industry
👉 Reconciling cost and time
👉 Building Newmetrix
👉 Adding valuable meaning to data using AI
👉 Understanding trade stacking from StructionSite’s data
👉 Improving predictions with StructionSite photos
👉 Photo data as a vital metric
👉 Optimizing data usage for specific predictive purposes
👉 What is site documentation
👉 How Newmetrix is built different
👉 How to document jobsite data to capture the relevant predictive data for safety risk evaluation
👉 Expanding the possibilities of construction risk management
If you're interested in how the Newmetrix platform uses AI technology to reduce risk in the AEC (architecture, engineering and construction) jobsites, tune in to this episode of Built Different, a Podcast by StructionSite.
👉 Apple: https://apple.co/3Ln48Wx
👉 Spotify: https://spoti.fi/3K63YB6
And connect with Josh and Newmetrix here:
👉 Josh’s LinkedIn: https://www.linkedin.com/in/joshkanner/
👉 StructionSite Website: https://structionsite.com
👉 Newmetrix Website: https://www.newmetrix.com/
Built Different is a podcast by StructionSite & hosted by Matt Daly and Chris Jervey, where we listen, question the status quo, and continue to find better ways to build the world. It is a podcast for boots-on-the-ground hard workers who aim to get the job done.