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Garbage In, Garbage Out: AI In The AEC & The Importance Of Clean Data

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Manage episode 407279965 series 3561673
Content provided by Joe Giegerich. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Joe Giegerich or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

How To Help AI Reach Its Full Potential In The Industry

AI and Data driven decisions are the hot topics and buzzwords of the day. But what does that all really mean in practical terms and what are the prerequisites and best practices as it relates to what machine learning and AI can achieve to drive data driven decisions.

Artificial Intelligence (AI) is only as powerful as the data that feeds it, making the quality of data critically important for AI systems to deliver accurate and valuable results. On this episode of the ProjectReady podcast, we delve into the intersection of AI and the Architecture, Engineering, and Construction (AEC) industry, exploring the challenges and opportunities of leveraging AI in decision-making processes with Digital Transformation expert Jeff Walter, and Salla Eckhardt, Senior Vice President at OAC Services, Inc

Ultimately, the goal of this episode is to challenge the notion that AI, alone, is the key to data-driven decisions and assert that the real challenge lies in providing accurate, comprehensive, and scalable data. After all, as the old adage goes “Garbage In becomes Garbage Out.”

With the sheer volume of data spanning across a project’s phases and actors the AEC has its own unique challenges. And what is key is to understand the human interactions and collaboration driven by the workflows and content that comprise the history of a project's transactions.

With the focus on the importance of high-quality data and its integration across the AEC industry to feed AI’s potential, listeners will learn more about:

  • The need to bring together disparate data sources and contextualize them effectively

  • How scalable taxonomies driven by metadata provide the foundation for AI to make a significant impact.

  • Use of AI today and the potential of AI in the AEC industry.

Learn More

To learn more about ProjectReady, visit www.project-ready.com. To request a free demonstration of ProjectReady, click here.

About ProjectReady

From bid to closeout, ProjectReady's modern collaborative project information management solution facilitates connection, communication, and collaboration across AEC team members, project owners, and systems in play on a project. ProjectReady's integrated data environment (IDE) facilitates governed connections between people, systems, and organizations - improving trust, reducting errors, and improving profitability.

  continue reading

29 episodes

Artwork
iconShare
 
Manage episode 407279965 series 3561673
Content provided by Joe Giegerich. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Joe Giegerich or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

How To Help AI Reach Its Full Potential In The Industry

AI and Data driven decisions are the hot topics and buzzwords of the day. But what does that all really mean in practical terms and what are the prerequisites and best practices as it relates to what machine learning and AI can achieve to drive data driven decisions.

Artificial Intelligence (AI) is only as powerful as the data that feeds it, making the quality of data critically important for AI systems to deliver accurate and valuable results. On this episode of the ProjectReady podcast, we delve into the intersection of AI and the Architecture, Engineering, and Construction (AEC) industry, exploring the challenges and opportunities of leveraging AI in decision-making processes with Digital Transformation expert Jeff Walter, and Salla Eckhardt, Senior Vice President at OAC Services, Inc

Ultimately, the goal of this episode is to challenge the notion that AI, alone, is the key to data-driven decisions and assert that the real challenge lies in providing accurate, comprehensive, and scalable data. After all, as the old adage goes “Garbage In becomes Garbage Out.”

With the sheer volume of data spanning across a project’s phases and actors the AEC has its own unique challenges. And what is key is to understand the human interactions and collaboration driven by the workflows and content that comprise the history of a project's transactions.

With the focus on the importance of high-quality data and its integration across the AEC industry to feed AI’s potential, listeners will learn more about:

  • The need to bring together disparate data sources and contextualize them effectively

  • How scalable taxonomies driven by metadata provide the foundation for AI to make a significant impact.

  • Use of AI today and the potential of AI in the AEC industry.

Learn More

To learn more about ProjectReady, visit www.project-ready.com. To request a free demonstration of ProjectReady, click here.

About ProjectReady

From bid to closeout, ProjectReady's modern collaborative project information management solution facilitates connection, communication, and collaboration across AEC team members, project owners, and systems in play on a project. ProjectReady's integrated data environment (IDE) facilitates governed connections between people, systems, and organizations - improving trust, reducting errors, and improving profitability.

  continue reading

29 episodes

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