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コンテンツは Major Projects Association によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Major Projects Association またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal
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What can ChatGPT do for major projects?

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Manage episode 385162678 series 3007068
コンテンツは Major Projects Association によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Major Projects Association またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal

MPA Executive Director, Andy Murray, talks to project data/AI specialist Lawrence Rowland on the latest updates to ChatGPT and how major projects can use Generative AI platforms such as ChatGPT, Microsoft’s Co-Pilot and Google Bard.

Lawrence describes himself as someone who sits in the intersection of exploring project management practices and the application of disruptive technology. Since the launch of the public version of ChatGPT by OpenAI in December 2022, Lawrence has been posting once a week on LinkedIn a copy of his experimentation of using ChatGPT - from producing scope statements from site photographs to producing estimates based on local market rates based on a scope statement.

Andy explores with Lawrence what he has learned, discusses how transformative Generative AI is likely to be, what members and practitioners could be doing right now and where is it likely to go next, particularly with the recent launch of ChatGPT ‘assistants’ where organisations can train it on their own policies, frameworks and historical project performance data.

Lawrence Rowland

Lawrence began as an engineer on large capital projects with WSP and Motts, and moving onto Bechtel and Booz Allen. He spent ten years in project and portfolio management with CPC and Pcubed, before transitioning to data analytics and AI for projects, working originally for Projecting Success. He now helps project services firms find relevant immediate AI applications for their business.

Follow him for daily posts on how to get started on LinkedIn or write to him at lawrence.rowland@reactai.com.

  continue reading

31 つのエピソード

Artwork
iconシェア
 
Manage episode 385162678 series 3007068
コンテンツは Major Projects Association によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Major Projects Association またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal

MPA Executive Director, Andy Murray, talks to project data/AI specialist Lawrence Rowland on the latest updates to ChatGPT and how major projects can use Generative AI platforms such as ChatGPT, Microsoft’s Co-Pilot and Google Bard.

Lawrence describes himself as someone who sits in the intersection of exploring project management practices and the application of disruptive technology. Since the launch of the public version of ChatGPT by OpenAI in December 2022, Lawrence has been posting once a week on LinkedIn a copy of his experimentation of using ChatGPT - from producing scope statements from site photographs to producing estimates based on local market rates based on a scope statement.

Andy explores with Lawrence what he has learned, discusses how transformative Generative AI is likely to be, what members and practitioners could be doing right now and where is it likely to go next, particularly with the recent launch of ChatGPT ‘assistants’ where organisations can train it on their own policies, frameworks and historical project performance data.

Lawrence Rowland

Lawrence began as an engineer on large capital projects with WSP and Motts, and moving onto Bechtel and Booz Allen. He spent ten years in project and portfolio management with CPC and Pcubed, before transitioning to data analytics and AI for projects, working originally for Projecting Success. He now helps project services firms find relevant immediate AI applications for their business.

Follow him for daily posts on how to get started on LinkedIn or write to him at lawrence.rowland@reactai.com.

  continue reading

31 つのエピソード

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