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How Advances In Artificial Intelligence Are Benefiting Construction – Part 1

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Manage episode 292523832 series 1444115
Contenu fourni par AGCofAmerica and AGC of America. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par AGCofAmerica and AGC of America ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
On this episode, Josh Levy of Document Crunch, Paul James of BOND Brothers and Brian Perlberg of ConsensusDocs dive deep into how AI and Machine Learning are being used to assess contract risk and inform approaches to construction risk management. They discuss finding the right balance using technology versus operational discretion when bidding contracts, negotiating contracts, administrating projects, and managing insurance compliance. Hear their first-hand experiences on how AI powered contract review software for the construction industry can reduce costs, improve efficiencies and lead to a better industry understanding of what is fair and considered a best practice. Guests: Josh Levy, Co-Founder at Document Crunch www.documentcrunch.com Paul M. James, Senior Vice President, Risk Management & General Counsel at BOND Brothers, Inc. https://bondbrothers.com Brian Perlberg, Executive Director and Senior Counsel at ConsensusDocs https://www.consensusdocs.org Document Crunch, curated by legal professionals and risk management experts in the construction industry, harnesses state of-the-art artificial intelligence/machine learning technology to quickly identify what curators believe are the most important provisions in contract documents, and to also provide key insights and rationale, as well as sample contract provisions and other language. Special Offer for ConstructorCast listeners: Register at https://agc.documentcrunch.com/ for • Free Upload ($300 Value) • 10% off All Future Uploads at Document Crunch
  continue reading

93 episodes

Artwork
iconPartager
 
Manage episode 292523832 series 1444115
Contenu fourni par AGCofAmerica and AGC of America. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par AGCofAmerica and AGC of America ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
On this episode, Josh Levy of Document Crunch, Paul James of BOND Brothers and Brian Perlberg of ConsensusDocs dive deep into how AI and Machine Learning are being used to assess contract risk and inform approaches to construction risk management. They discuss finding the right balance using technology versus operational discretion when bidding contracts, negotiating contracts, administrating projects, and managing insurance compliance. Hear their first-hand experiences on how AI powered contract review software for the construction industry can reduce costs, improve efficiencies and lead to a better industry understanding of what is fair and considered a best practice. Guests: Josh Levy, Co-Founder at Document Crunch www.documentcrunch.com Paul M. James, Senior Vice President, Risk Management & General Counsel at BOND Brothers, Inc. https://bondbrothers.com Brian Perlberg, Executive Director and Senior Counsel at ConsensusDocs https://www.consensusdocs.org Document Crunch, curated by legal professionals and risk management experts in the construction industry, harnesses state of-the-art artificial intelligence/machine learning technology to quickly identify what curators believe are the most important provisions in contract documents, and to also provide key insights and rationale, as well as sample contract provisions and other language. Special Offer for ConstructorCast listeners: Register at https://agc.documentcrunch.com/ for • Free Upload ($300 Value) • 10% off All Future Uploads at Document Crunch
  continue reading

93 episodes

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