Improving government projects with data and AI - Revision history

Editor at 08:08, 27 March 2024

2024-03-27T08:08:09Z

← Older revision		Revision as of 08:08, 27 March 2024
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	--[[User:Association_for_Project_Management\|Association for Project Management]]		--[[User:Association_for_Project_Management\|Association for Project Management]]

−	[[Category:~~Articles_needing_more_work~~]]	+	= Related articles on Designing Buildings =
		+
		+	* AI and construction.
		+	* AI building design tools.
		+	* Big data.
		+	* Building data exchange.
		+	* Common data environment.
		+	* Construction project professionals and AI.
		+	* Data-centric business model.
		+	* Data and behaviours in construction.
		+	* Data and infrastructure productivity.
		+	* Data drop.
		+	* Data manager.
		+	* Data protection laws.
		+	* Data readiness.
		+	* General Data Protection Regulations (GDPR).
		+	* Global Unique IDs (GUIDs).
		+	* How data can stop waste.
		+	* Making the most of big data.
		+	* Mind the AI gap.
		+	* Open data.
		+	* Structured data.
		+	* Top big data tools used to store and analyze data.
		+	* Treating data as part of infrastructure.
		+	* Unstructured data.
		+	* Virtual reality and big data disrupting digital construction.
		+	* Will AI ever be able to design buildings?.
		+
		+	[[Category:DCN_Dataset]] [[Category:DCN_Guidance]] [[Category:DCN_News]] [[Category:DCN_Organisation]] [[Category:DCN_Product_Knowledge]] [[Category:DCN_Report]] [[Category:DCN_Software]] [[Category:News]] [[Category:Organisations]] [[Category:Publications_/_reports]] [[Category:Research_/_Innovation]] [[Category:Policy]] [[Category:Regulations]] [[Category:Public_procedures]] [[Category:Roles_/_services]]

Editor at 08:00, 27 March 2024

2024-03-27T08:00:37Z

← Older revision		Revision as of 08:00, 27 March 2024
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	APM has also produced a new series of case studies on AI that explore its current use within the project profession and roadmaps to adoption.		APM has also produced a new series of case studies on AI that explore its current use within the project profession and roadmaps to adoption.
		+
		+	-----
		+	This article appears on the APM news and blog site as '[https://www.apm.org.uk/news/new-report-explains-how-data-and-ai-will-help-improve-government-projects/ New report explains how data and AI will help improve government project]s' dated March 20, 2024
		+
		+	--[[User:Association_for_Project_Management\|Association for Project Management]]

	[[Category:Articles_needing_more_work]]		[[Category:Articles_needing_more_work]]

Editor at 07:56, 27 March 2024

2024-03-27T07:56:22Z

← Older revision		Revision as of 07:56, 27 March 2024
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	The report explains that delivery against these ambitions will be a collective effort led by IPA and the Projects Council, working closely with Heads of Profession across government, CDDO, 10DS and the professional bodies.		The report explains that delivery against these ambitions will be a collective effort led by IPA and the Projects Council, working closely with Heads of Profession across government, CDDO, 10DS and the professional bodies.

−	[[File:~~National Data and AI strategy logos 1000~~.jpg]]	+	[[File:National_Data_and_AI_strategy_logos_1000.jpg\|link=File:National_Data_and_AI_strategy_logos_1000.jpg]]

	Professor Adam Boddison OBE, Chief Executive of APM, said: “The potential for AI and data analytics to improve project outcomes is clear. We’re pleased to have worked with the IPA, the CCDO and the MPA on this report, which lays out a clear framework for creating conditions that will allow innovation to thrive across government projects, while also ensuring success can be shared across the projects community.		Professor Adam Boddison OBE, Chief Executive of APM, said: “The potential for AI and data analytics to improve project outcomes is clear. We’re pleased to have worked with the IPA, the CCDO and the MPA on this report, which lays out a clear framework for creating conditions that will allow innovation to thrive across government projects, while also ensuring success can be shared across the projects community.

195.52.145.196 at 07:40, 27 March 2024

2024-03-27T07:40:07Z

← Older revision		Revision as of 07:40, 27 March 2024
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−	[[File:~~Data Analytics and AI in Government Project Delivery 1000~~.jpg]]	+	[[File:Data_Analytics_and_AI_in_Government_Project_Delivery_1000.jpg\|link=File:Data_Analytics_and_AI_in_Government_Project_Delivery_1000.jpg]]

	The use of data analytics and AI will enable better outcomes, efficient modern delivery and influential leadership on government projects, according to a new report published by the Infrastructure and Projects Authority (IPA).		The use of data analytics and AI will enable better outcomes, efficient modern delivery and influential leadership on government projects, according to a new report published by the Infrastructure and Projects Authority (IPA).

−	The report, Data Analytics and AI in Government Project Delivery, sets the IPA's direction of travel to harness the benefits of project data and AI for government projects and project-focused organisations in the UK.	+	The report, [https://www.gov.uk/government/publications/data-analytics-and-ai-in-government-project-delivery Data Analytics and AI in Government Project Delivery], sets the IPA's direction of travel to harness the benefits of project data and AI for government projects and project-focused organisations in the UK.

	The report has been produced by the IPA in partnership with Association for Project Management (APM), as well as the Central Digital & Data Office (CDDO), the Major Projects Association (MPA), and the No.10 Data Science team.		The report has been produced by the IPA in partnership with Association for Project Management (APM), as well as the Central Digital & Data Office (CDDO), the Major Projects Association (MPA), and the No.10 Data Science team.
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	In addition to providing detail around the opportunities, challenges and conditions for success associated with the future use of project data analytics and artificial intelligence to deliver government projects, the report also lists the IPA’s next steps for harnessing the benefits of AI and project data. These include:		In addition to providing detail around the opportunities, challenges and conditions for success associated with the future use of project data analytics and artificial intelligence to deliver government projects, the report also lists the IPA’s next steps for harnessing the benefits of AI and project data. These include:

−	Updating the Government Project Delivery Capability Framework, and the associated government accreditation scheme.	+	* Updating the Government Project Delivery Capability Framework, and the associated government accreditation scheme.
		+	* Developing a common set of standards and taxonomy for project data.
		+	* Building infrastructure across government project data and tools to enable greater insight, benchmarks and the ability to predict performance.
		+	* Working across government to oversee pilot schemes to innovate and experiment.
		+	* Continue working with professional bodies, academia and industry.

−	~~Developing~~ a ~~common set~~ of ~~standards~~ and ~~taxonomy for project data~~.	+	The report explains that delivery against these ambitions will be a collective effort led by IPA and the Projects Council, working closely with Heads of Profession across government, CDDO, 10DS and the professional bodies.

−	~~Building infrastructure across government project data~~ and ~~tools to enable greater insight, benchmarks and the ability to predict performance.~~	+	[[File:National Data and AI strategy logos 1000.jpg]]
−		+
−	~~Working across government to oversee pilot schemes to innovate and experiment.~~	+
−		+
−	~~Continue working with professional bodies, academia and industry.~~	+
−		+
−	The report explains that delivery against these ambitions will be a collective effort led by IPA and the Projects Council, working closely with Heads of Profession across government, CDDO, 10DS and the professional bodies.	+

	Professor Adam Boddison OBE, Chief Executive of APM, said: “The potential for AI and data analytics to improve project outcomes is clear. We’re pleased to have worked with the IPA, the CCDO and the MPA on this report, which lays out a clear framework for creating conditions that will allow innovation to thrive across government projects, while also ensuring success can be shared across the projects community.		Professor Adam Boddison OBE, Chief Executive of APM, said: “The potential for AI and data analytics to improve project outcomes is clear. We’re pleased to have worked with the IPA, the CCDO and the MPA on this report, which lays out a clear framework for creating conditions that will allow innovation to thrive across government projects, while also ensuring success can be shared across the projects community.
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	“We hope this report will be a useful resource, not only to those working on government projects, but for all project, programme and portfolio professionals who are considering introducing these new technologies into their workflows.”		“We hope this report will be a useful resource, not only to those working on government projects, but for all project, programme and portfolio professionals who are considering introducing these new technologies into their workflows.”

−	The report is available to read now.	+	[https://www.gov.uk/government/publications/data-analytics-and-ai-in-government-project-delivery The report is available to read now.]

	Learn more about AI and data analytics in project management		Learn more about AI and data analytics in project management
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	APM has published many resources on AI and data analytics, some of which are cited in the IPA’s report. These include:		APM has published many resources on AI and data analytics, some of which are cited in the IPA’s report. These include:

−	Getting Started in project Data	+	* [https://www.apm.org.uk/v2/media/2fehl0pm/getting-started-in-project-data.pdf Getting Started in project Data]
−		+	* [https://www.apm.org.uk/v2/media/g2chezrx/developing-project-data-analytics-skills.pdf Developing Project Data Analytics Skills]
−	Developing Project Data Analytics Skills	+

	APM has also produced a new series of case studies on AI that explore its current use within the project profession and roadmaps to adoption.		APM has also produced a new series of case studies on AI that explore its current use within the project profession and roadmaps to adoption.

	[[Category:Articles_needing_more_work]]		[[Category:Articles_needing_more_work]]

Editor at 06:10, 27 March 2024

2024-03-27T06:10:44Z

← Older revision		Revision as of 06:10, 27 March 2024
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		+	[[File:Data Analytics and AI in Government Project Delivery 1000.jpg]]
		+
	The use of data analytics and AI will enable better outcomes, efficient modern delivery and influential leadership on government projects, according to a new report published by the Infrastructure and Projects Authority (IPA).		The use of data analytics and AI will enable better outcomes, efficient modern delivery and influential leadership on government projects, according to a new report published by the Infrastructure and Projects Authority (IPA).

Editor: moved Data, AI and improving government projects to Improving government projects with data and AI

2024-03-27T05:55:46Z

moved Data, AI and improving government projects to Improving government projects with data and AI

← Older revision

Revision as of 05:55, 27 March 2024

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The use of data analytics and AI will enable better outcomes, efficient modern delivery and influential leadership on government projects, according to a new report published by the Infrastructure and Projects Authority (IPA).

The report, Data Analytics and AI in Government Project Delivery, sets the IPA's direction of travel to harness the benefits of project data and AI for government projects and project-focused organisations in the UK.

The report has been produced by the IPA in partnership with Association for Project Management (APM), as well as the Central Digital & Data Office (CDDO), the Major Projects Association (MPA), and the No.10 Data Science team.

In addition to providing detail around the opportunities, challenges and conditions for success associated with the future use of project data analytics and artificial intelligence to deliver government projects, the report also lists the IPA’s next steps for harnessing the benefits of AI and project data. These include:

Updating the Government Project Delivery Capability Framework, and the associated government accreditation scheme.

Developing a common set of standards and taxonomy for project data.

Building infrastructure across government project data and tools to enable greater insight, benchmarks and the ability to predict performance.

Working across government to oversee pilot schemes to innovate and experiment.

Continue working with professional bodies, academia and industry.

The report explains that delivery against these ambitions will be a collective effort led by IPA and the Projects Council, working closely with Heads of Profession across government, CDDO, 10DS and the professional bodies.

Professor Adam Boddison OBE, Chief Executive of APM, said: “The potential for AI and data analytics to improve project outcomes is clear. We’re pleased to have worked with the IPA, the CCDO and the MPA on this report, which lays out a clear framework for creating conditions that will allow innovation to thrive across government projects, while also ensuring success can be shared across the projects community.

“We hope this report will be a useful resource, not only to those working on government projects, but for all project, programme and portfolio professionals who are considering introducing these new technologies into their workflows.”

The report is available to read now.

Learn more about AI and data analytics in project management

APM has published many resources on AI and data analytics, some of which are cited in the IPA’s report. These include:

Getting Started in project Data

Developing Project Data Analytics Skills

APM has also produced a new series of case studies on AI that explore its current use within the project profession and roadmaps to adoption.

[[Category:Articles_needing_more_work]]