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Knowing the Future Today: Predicting Safety Risk with AI and BIM 360

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说明

There is a well-established precedent for predictive analytics in business. In 2009, Google built a predictive model using years of data to determine which employees were most likely to quit. Suffolk and Autodesk partner Smartvid.io partnered to explore if predictive analytics could be applied to safety in construction. In this class, Jit Kee Chin, Suffolk’s EVP and chief data officer, and Josh Kanner, founder and CEO of Smartvid.io, will discuss how 10 years of BIM 360 Field software and other data sources were combined to create a safety predictive model. We’ll show examples of the data, discuss machine-learning frameworks for computer vision as well as predictive analytics, and we’ll present the results of the modeling exercise, how it can be displayed to the user, and what may come next. Attendees will participate in a discussion on what this new ability to see into the future could mean for the operations, human resources, and legal structures of construction?

主要学习内容

  • Understand the difference between machine learning for observation (for example, computer vision) and prediction
  • Learn how to connect your BIM 360 data to external systems to extract additional safety insights
  • Learn past examples and gain ideas for the future of predictive analytics in practice
  • Learn how to impress colleagues, friends, and family with an example of AI for construction

讲师

  • Joshua Kanner
    Josh Kanner is Founder & CEO of Smartvid.io, an AI-powered cloud platform that helps companies identify highest risk projects and act to prevent incidents from occurring.. Most recently he was co-founder of Vela Systems, a pioneer in the use of web and tablet workflows for construction and capital projects. There he led the company’s product, marketing and business development functions. Vela Systems grew from bootstrapped beginnings to include over 50% of the ENR Top Contractors as customers and deployments all over the globe. The company was successfully acquired by Autodesk in 2012 and has been rebranded as BIM 360 Field. Prior to founding Vela Systems, Josh was responsible for product management and strategy at Emptoris (now part of IBM), a web-based strategic sourcing software company with customers including Motorola, GlaxoSmithKline, Bank of America, and American Express. He still gets excited to put on a hard hat and walk a job.
  • Jit Kee Chin
    Jit Kee Chin is the Chief Data Officer and Executive Vice President at Suffolk and is responsible for leveraging big data and advanced analytics to improve the organization’s core business. Ms. Chin is also responsible for helping to position Suffolk to achieve its vision of fundamentally reinventing the future of construction in the digital age, working closely with the company’s Innovation and Strategy teams. Prior to her role at Suffolk, Ms. Chin spent 10 years with management consulting firm McKinsey and Company where she counseled senior executives on strategic and commercial topics. Most recently, she was a Senior Expert in Analytics in McKinsey’s Boston office where she specialized in the design and implementation of end-to-end analytics transformations. Prior to that role, Ms. Chin was an Associate Principal in McKinsey’s London office. Ms. Chin holds a PhD in Physics from the Massachusetts Institute of Technology and a BS from the California Institute of Technology.
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