In this milestone 100th episode, we sit down with Daniel Brown, a Microsoft MVP based in Adelaide, to explore how AI is transforming the rugged world of opal mining. Daniel shares the fascinating story of how he developed Opal AI, a computer vision system that uses Microsoft’s Custom Vision and Azure services to identify precious opals in the harsh environment of Coober Pedy. By leveraging AI to detect opal, and safety hazards in real-time, Daniel demonstrates how edge computing can bring tangible efficiency and safety improvements to a traditionally manual industry.
The discussion delves into the practical challenges of deploying AI in the Australian outback, from using black light properties for opal detection to dealing with connectivity limitations that require robust offline edge processing. Daniel explains how he built and refined his models with over 5,000 tagged images, sharing practical advice for others looking to start their own AI projects using tools like customvision.ai with as few as 15 starter images.
Beyond the technical insights, the episode captures the intersection of ancient geology and cutting-edge technology, highlighting how AI can uncover treasures that are over 100 million years old while automating and securing mining operations.
We also celebrate our 100th episode, reflecting on nine years of community-driven conversations, learning, and evolving alongside the cloud ecosystem.
Daniel Brown is a visionary leader and a driving force in the world of Microsoft 365 and Copilot, based in the vibrant city of Adelaide, South Australia. With a passion for empowering individuals and organisations through technology, Daniel has been at the forefront of innovation, helping businesses harness the full potential of Microsoft's suite of productivity and AI tools for over 2 decades.
Daniel's expertise extends across a wide range of Microsoft technologies, with a particular laser type focus for Microsoft Copilot and Microsoft 365. With his deep understanding of this groundbreaking AI-driven platform, Daniel has helped numerous organizations revolutionize their approach to productivity and collaboration. You can connect with Daniel on LinkedIn (https://www.linkedin.com/in/danielbrownau/)
Be sure to check out the user groups:
* Adelaide Microsoft Copilot User Group (https://www.linkedin.com/company/adelaidecopilotusergroup)
* Adelaide Microsoft 365 User Group (https://www.linkedin.com/company/am365ug)
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In this milestone 100th episode, we sit down with Daniel Brown, a Microsoft MVP based in Adelaide, to explore how AI is transforming the rugged world of opal mining. Daniel shares the fascinating story of how he developed Opal AI, a computer vision system that uses Microsoft’s Custom Vision and Azure services to identify precious opals in the harsh environment of Coober Pedy. By leveraging AI to detect opal, and safety hazards in real-time, Daniel demonstrates how edge computing can bring tangible efficiency and safety improvements to a traditionally manual industry.
The discussion delves into the practical challenges of deploying AI in the Australian outback, from using black light properties for opal detection to dealing with connectivity limitations that require robust offline edge processing. Daniel explains how he built and refined his models with over 5,000 tagged images, sharing practical advice for others looking to start their own AI projects using tools like customvision.ai with as few as 15 starter images.
Beyond the technical insights, the episode captures the intersection of ancient geology and cutting-edge technology, highlighting how AI can uncover treasures that are over 100 million years old while automating and securing mining operations.
We also celebrate our 100th episode, reflecting on nine years of community-driven conversations, learning, and evolving alongside the cloud ecosystem.
Daniel Brown is a visionary leader and a driving force in the world of Microsoft 365 and Copilot, based in the vibrant city of Adelaide, South Australia. With a passion for empowering individuals and organisations through technology, Daniel has been at the forefront of innovation, helping businesses harness the full potential of Microsoft's suite of productivity and AI tools for over 2 decades.
Daniel's expertise extends across a wide range of Microsoft technologies, with a particular laser type focus for Microsoft Copilot and Microsoft 365. With his deep understanding of this groundbreaking AI-driven platform, Daniel has helped numerous organizations revolutionize their approach to productivity and collaboration. You can connect with Daniel on LinkedIn (https://www.linkedin.com/in/danielbrownau/)
Be sure to check out the user groups:
* Adelaide Microsoft Copilot User Group (https://www.linkedin.com/company/adelaidecopilotusergroup)
* Adelaide Microsoft 365 User Group (https://www.linkedin.com/company/am365ug)
We've all been prompted to create a Passkey when logging in to online services like Google - but are Passkeys ready for enterprise use? Do we still need MFA? What's is FIDO2? We asked Microsoft MVP Darren Robinson to help us dive into the world of Passkeys & verifiable credentials. Darren helps us understand the different types of Passkeys, their use-cases and, he shares some strategies for dealing with those pesky legacy apps and authentication protocols.
Darren Robinson is an Identity Architect and Microsoft MVP with over 30 years' experience in technical sales, holistic strategy, detailed design and implementation of On Premises, Hybrid and Cloud Identity & Access Management solutions across all industry verticals. You can connect with Darren on Github (https://github.com/darrenjrobinson) or check out his blog (https://blog.darrenjrobinson.com)
The Cloud Architects Podcast
In this milestone 100th episode, we sit down with Daniel Brown, a Microsoft MVP based in Adelaide, to explore how AI is transforming the rugged world of opal mining. Daniel shares the fascinating story of how he developed Opal AI, a computer vision system that uses Microsoft’s Custom Vision and Azure services to identify precious opals in the harsh environment of Coober Pedy. By leveraging AI to detect opal, and safety hazards in real-time, Daniel demonstrates how edge computing can bring tangible efficiency and safety improvements to a traditionally manual industry.
The discussion delves into the practical challenges of deploying AI in the Australian outback, from using black light properties for opal detection to dealing with connectivity limitations that require robust offline edge processing. Daniel explains how he built and refined his models with over 5,000 tagged images, sharing practical advice for others looking to start their own AI projects using tools like customvision.ai with as few as 15 starter images.
Beyond the technical insights, the episode captures the intersection of ancient geology and cutting-edge technology, highlighting how AI can uncover treasures that are over 100 million years old while automating and securing mining operations.
We also celebrate our 100th episode, reflecting on nine years of community-driven conversations, learning, and evolving alongside the cloud ecosystem.
Daniel Brown is a visionary leader and a driving force in the world of Microsoft 365 and Copilot, based in the vibrant city of Adelaide, South Australia. With a passion for empowering individuals and organisations through technology, Daniel has been at the forefront of innovation, helping businesses harness the full potential of Microsoft's suite of productivity and AI tools for over 2 decades.
Daniel's expertise extends across a wide range of Microsoft technologies, with a particular laser type focus for Microsoft Copilot and Microsoft 365. With his deep understanding of this groundbreaking AI-driven platform, Daniel has helped numerous organizations revolutionize their approach to productivity and collaboration. You can connect with Daniel on LinkedIn (https://www.linkedin.com/in/danielbrownau/)
Be sure to check out the user groups:
* Adelaide Microsoft Copilot User Group (https://www.linkedin.com/company/adelaidecopilotusergroup)
* Adelaide Microsoft 365 User Group (https://www.linkedin.com/company/am365ug)
