g-f(2)2125 State Governments and AI: A Roadmap for Transformation

 

genioux Fact post by Fernando Machuca and Copilot

Introduction:

The McKinsey article "Deploying generative AI in US state governments: Pilot, scale, adopt" provides a comprehensive guide on how US state governments can leverage generative AI (gen AI) to transform their services and service delivery.

genioux GK Nugget:

"Generative AI has the potential to redefine services and revamp service delivery for US state governments." — Fernando Machuca and Copilot

genioux Foundational Fact:

The article suggests that state leaders set risk guardrails and prepare to move at scale while piloting lower-risk applications. This approach brings real-time application and learning to the process of setting up robust enterprise governance and an adoption roadmap.

The 10 most relevant genioux Facts:

1. Generative AI can work on unstructured data, enabling organizations to leapfrog older approaches to digital innovation.
2. State leaders are advised to set risk guardrails and prepare to move at scale while piloting lower-risk applications.
3. The article provides a four-pronged framework that state leaders can use to create longer-term gen AI strategies for their governments.
4. A step-by-step guide is provided to help ensure these strategies address five critical areas: adoption, governance, technology and data, talent, and operations.
5. Some state leaders have already initiated efforts to set an adoption roadmap and organizing principles for gen AI.
6. Given the speed of gen AI development and adoption, leaders are piloting early use cases and preparing for a broader rollout at the same time.
7. The unique potential of gen AI is highlighted, which unlike traditional AI, can work on unstructured data.
8. The article suggests that real-time application and learning are crucial to the process of setting up robust enterprise governance and an adoption roadmap.
9. The article emphasizes the importance of addressing five critical areas in gen AI strategies: adoption, governance, technology and data, talent, and operations.
10. The article mentions that the speed of gen AI development and adoption necessitates that leaders pilot early use cases and prepare for a broader rollout simultaneously.

Conclusion:

The McKinsey article underscores the transformative potential of generative AI in US state governments. It provides a roadmap for state leaders to pilot, scale, and adopt gen AI, emphasizing the importance of setting risk guardrails, preparing for scale, and addressing critical areas in their strategies.

REFERENCE

The g-f GK Article

Trey Childress, Sameer Chowdhary, Drew Erdmann, Gayatri Shenai, and Tim War, Deploying generative AI in US state governments: Pilot, scale, adopt, McKinsey, February 21, 2024.

Classical Summary:

The McKinsey article "Deploying generative AI in US state governments: Pilot, scale, adopt" discusses the potential of generative AI (gen AI) in redefining services and revamping service delivery for US state governments¹. The article suggests that state leaders set risk guardrails and prepare to move at scale while piloting lower-risk applications¹. This approach brings real-time application and learning to the process of setting up robust enterprise governance and an adoption roadmap¹.

The article also highlights the unique potential of gen AI, which unlike traditional AI, can work on unstructured data¹. This could enable organizations to leapfrog older approaches to digital innovation¹. The article provides a four-pronged framework that state leaders can use to create longer-term gen AI strategies for their governments¹. It also provides a step-by-step guide to help ensure these strategies address five critical areas: adoption, governance, technology and data, talent, and operations¹.

The article mentions that some state leaders have already initiated efforts to set an adoption roadmap and organizing principles for gen AI¹. Given the speed of gen AI development and adoption, leaders are piloting early use cases and preparing for a broader rollout at the same time¹.

Source: Conversation with Bing, 3/25/2024

(1) Deploying generative AI in US state governments: Pilot, scale, adopt. https://www.mckinsey.com/industries/public-sector/our-insights/deploying-generative-ai-in-us-state-governments-pilot-scale-adopt.

(2) Deploying generative AI in US state governments: Pilot, scale, adopt. https://piazza.com/class_profile/get_resource/llug8fzp1x63qa/lsyx17rcm9j423.

(3) Want generative AI? Just ‘pilot, scale, adopt,’ says McKinsey. https://statescoop.com/generative-ai-state-government-framework-mckinsey/.

ABOUT THE AUTHOR(S)

Trey Childress

Trey Childress is an Associate Partner at McKinsey & Company based in New York City³. He specializes in advising governments, corporations, NGOs, and ventures on how to execute their strategies and coaches entrepreneurs on how to best manage uncertainty and change¹². He has co-authored articles on topics such as deciding if AI should be part of a company's growth strategy² and the state transformation mandate during COVID-19¹. His work involves helping organizations move from strategy to execution¹.

Source: Conversation with Bing, 3/25/2024

(1) Trey Childress - Associate Partner at McKinsey & Company | ZoomInfo. https://www.zoominfo.com/p/Trey-Childress/3303331829.

(2) The state transformation mandate during COVID-19 | McKinsey. https://www.mckinsey.com/industries/public-sector/our-insights/the-state-transformation-mandate-during-covid-19.

(3) Deploying generative AI in US state governments: Pilot, scale, adopt. https://www.mckinsey.com/industries/public-sector/our-insights/deploying-generative-ai-in-us-state-governments-pilot-scale-adopt.

(4) Trey Childress’s Profile | Muck Rack. https://muckrack.com/trey-childress.

Sameer Chowdhary 

Sameer Chowdhary is a Partner at McKinsey & Company based in Dallas¹². He leads McKinsey’s work in payer operations and is a core leader in McKinsey’s transformation center of excellence in North America¹². His expertise lies in helping health insurance organizations achieve operational excellence and optimize their cost baselines¹².

He specializes in healthcare and business technology, and has advised payer and provider organizations on analytics and operations-related topics². He has also helped these organizations boost their bottom line by introducing and optimizing processes related to claims processing, enrollment and billing, medical management, payment accuracy, and claims recovery².

Sameer has co-authored several articles on topics such as AI's role in a company's growth strategy and the state transformation mandate during COVID-19¹². He has also worked on projects related to procurement practices, physician productivity, and data analytics².

In addition to his work at McKinsey, Sameer has contributed to the field of healthcare through his published work on topics like deploying generative AI in US state governments, government productivity, and bridging the talent gap in state government post-pandemic².

Source: Conversation with Bing, 3/25/2024

(1) Sameer Chowdhary | McKinsey & Company. https://bing.com/search?q=Sameer+Chowdhary+McKinsey+summary.

(2) Sameer Chowdhary | McKinsey & Company. https://www.mckinsey.com/our-people/sameer-chowdhary.

(3) Zero-based budgeting for health plans | McKinsey. https://www.mckinsey.com/industries/healthcare/our-insights/zero-based-budgeting-for-health-plans-dealing-with-uncertainty-ahead.

Drew Erdmann 

Drew Erdmann is an Associate Partner at McKinsey & Company¹². He has co-authored articles on topics such as evaluating threats, overcoming cognitive biases, and constructing scenarios¹. He has also worked on overcoming obstacles to effective scenario planning². His work involves helping organizations move from strategy to execution¹². He has experience in advising governments, corporations, NGOs, and ventures on how to execute their strategies and coaches entrepreneurs on how to best manage uncertainty and change¹².

Source: Conversation with Bing, 3/25/2024

(1) Focused on foresight: An interview with the US’s ... - McKinsey & Company. https://www.mckinsey.com/industries/public-sector/our-insights/focused-on-foresight-an-interview-with-the-uss-national-intelligence-officer-for-warning.

(2) JUNE 2015 Overcoming obstacles to effective scenario planning. https://www.mckinsey.com/~/media/McKinsey/Business%20Functions/Strategy%20and%20Corporate%20Finance/Our%20Insights/Overcoming%20obstacles%20to%20effective%20scenario%20planning/Overcoming%20obstacles%20to%20effective%20scenario%20planning.pdf.

(3) Drew Erdmann’s Profile | McKinsey Quarterly Journalist | Muck Rack. https://muckrack.com/drew-erdmann.

Gayatri Shenai

Gayatri Shenai is a Partner at McKinsey & Company based in New York¹. She uses digital and analytics to help public- and private-sector institutions transform operational performance and improve their competitive position¹. She has deep expertise in helping organizations harness the power of digital, technology, and analytics to improve their business operations¹.

She has served a wide variety of public- and private-sector organizations, helping them develop, launch, and execute transformative change at the intersection of strategy, digital, and operations¹. Her experience spans across the financial-services, healthcare, and public sectors¹.

Gayatri is a passionate champion of diversity and inclusion and has been closely involved in McKinsey’s decade-long research on women’s advancement¹. She is an active panelist, participating in numerous public events, including South by Southwest, UN conferences, and the WIN Summit¹. She is a co-founder of the McKinsey Women in Technology & Operations Conference¹.

She has co-authored several articles on topics such as deploying generative AI in US state governments, government productivity, and bridging the talent gap in state government post-pandemic¹.

Source: Conversation with Bing, 3/25/2024

(1) Gayatri Shenai | McKinsey & Company. https://www.mckinsey.com/our-people/gayatri-shenai.

(2) A McKinsey leader unites women in tech to prepare ... - McKinsey & Company. https://www.mckinsey.com/about-us/new-at-mckinsey-blog/a-mckinsey-leader-unites-women-in-tech-to-prepare-for-the-future-of-work.

(3) The road to parity for women in tech - McKinsey & Company. https://www.mckinsey.com/featured-insights/themes/the-road-to-parity-for-women-in-tech.

Tim Ward

Tim Ward is a Senior Partner at McKinsey & Company with over 20 years of consulting experience¹⁴. Since joining McKinsey in 2004, his work has spanned a wide range of topics for state governments, health plan and healthcare providers, higher-education institutions, and not-for-profit organizations¹. He leads McKinsey’s work with US state and local governments, bringing the best of their cross-sector expertise in digital, analytics, transformation, service operations, and beyond¹. He also served as the managing partner of McKinsey's Southern California office³.

Tim has co-authored several articles on topics such as deploying generative AI in US state governments, government productivity, and bridging the talent gap in state government post-pandemic¹. He has also worked on identifying and delivering efficiency and effectiveness opportunities across state governments, designing and implementing new systems of care and support, and leading major payer-transformation programs¹.

Tim is a Trustee of Big Brothers Big Sisters of Greater Los Angeles and serves on the Executive Committee of the CEO Leadership Alliance – Orange County¹. He was awarded the Hicks and Webb Medley Prize in economics while attending University College Oxford¹.

Source: Conversation with Bing, 3/25/2024

(1) Tim Ward | McKinsey & Company. https://www.mckinsey.com/our-people/tim-ward.

(2) Tim Ward - Senior Partner at McKinsey & Company | ZoomInfo. https://www.zoominfo.com/p/Tim-Ward/1589523140.

(3) Tim Ward | McKinsey & Company | United States of America. https://biography.omicsonline.org/united-states-of-america/mckinsey-company/tim-ward-446929.

(4) A new era of US infrastructure grants | McKinsey. https://www.mckinsey.com/industries/public-sector/our-insights/a-new-era-of-us-infrastructure-grants.

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References

“genioux facts”: The online program on "MASTERING THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)2125, Fernando Machuca and Copilot, March 23, 2024, Genioux.com Corporation.

 

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