AI as an Infrastructure Shared Service
source: Microsoft Generative AI Design

AI as an Infrastructure Shared Service


Avi Bender

(republished from the ACT-IAC Innovation Newsletter April 2024)

Now that we are all in agreement that AI will transform government operations how do we get started?? Each agency is currently evaluating AI opportunities in cybersecurity, internal business process improvements,? and in meeting their specific mission objectives to better serve the public.? It seems to me that much of the focus is directed at the agency’s application layer and that may not be an optimal approach in the long term.? There are currently data apps and algorithms that can already support applications for fraud detection and other data centric applications across the Federal government. ?Using AI for these bespoke solutions, by well-funded agencies, ?seems like a good start.? But not all agencies have the financial and people resources to build out both the infrastructure and the applications.? Funding constraints and lengthy procurement cycles will hamper an agency’s ability to be nimble and innovative.? The good news is that the commercial marketplace provides a great roadmap for leveraging AI through the data center infrastructure.

I believe we should take a macro view of the civilian government as a “sovereign nation” to create a common (remember shared services) AI infrastructure to support large language models and machine learning.? That infrastructure should be a managed AI data center operation, either on or off premise- for the entire civilian government.? The sovereign knowledge of Federal employees, their contractors, coupled with the power of an AI infrastructure will be powerful and transformative- for all agencies.? Instead of applying AI in discrete use case instances for the benefit of one business unit why not think big and leverage a much broader knowledge set for the whole government.

For many years the value of cross agency shared services was sold as a cost-effective capability that could be shared by many agencies.? ?That business model met limited success with Cyber, ?HR and payroll systems. To further encourage shared services contract vehicles were also established to make procurement a better shared services across agencies.? However, these instruments for acquiring and sharing like procurement services are procedural and legal with a focus on the mechanics of the acquisition and the law.?These essential acquisition instruments typically created by one agency for the benefit of many, may actually fragment both knowledge and attempts at innovation because each agency operates within its own space of knowledge and perceived “unique” requirements.? We have an opportunity to think big and intelligently about business outcomes that leverage new tools in AI – for the whole government- rather than operating within agency moats that were created before AI changed everything.

Avi Bender is the Managing Director of Bender Advisory Services LLC. Avi was formerly the Director of NTIS US Department of Commerce, the first CTO of the US Census Bureau, and the Director for Enterprise Architecture at the IRS.

要查看或添加评论,请登录

Avi Bender的更多文章

  • A Unified Strategy for Federal Agency Deployment of Artificial Intelligence (AI)

    A Unified Strategy for Federal Agency Deployment of Artificial Intelligence (AI)

    Avi Bender Civilian agencies are facing complex security, trust, and governance challenges in deploying AI enterprise…

    6 条评论
  • Is Your Agency AI Ready?

    Is Your Agency AI Ready?

    Artificial Intelligence (AI) algorithms consume and analyze large volumes of data, in real time, regardless of how well…

    2 条评论
  • Is ChatGPT a Catalyst for Innovation?

    Is ChatGPT a Catalyst for Innovation?

    AI Driven Business Process Innovation (This article appeared in the ACT-IAC Innovation Newsletter published June 6…

  • Business Process Innovation: Post Covid

    Business Process Innovation: Post Covid

    Avi Bender #innovation #collaboration #remotework #missioncritical #partnerships #governmentcontracting…

    2 条评论
  • First Principles for Business Model Innovation | Avi Bender

    First Principles for Business Model Innovation | Avi Bender

    In this ACT-IAC Innovation blog, published June 7, 2022 , I look at innovation as a business model based on First…

    1 条评论
  • Business Model Innovation

    Business Model Innovation

    The process of innovation in the Federal government is synonymous with a program, a lab, or a change agent with a…

    1 条评论
  • Data Science and Supply Chain Modernization

    Data Science and Supply Chain Modernization

    When we “modernize” IT, what exactly is being upgraded or improved? Are we improving the performance of applications…

    6 条评论
  • Data Science Skills for Innovation

    Data Science Skills for Innovation

    Photo Credit: Avi Bender , Georgetown, DC Data scientists are in great demand both in the Federal government and in the…

    9 条评论
  • Innovation Begins with a Conversation

    Innovation Begins with a Conversation

    After dinner the other day, I offered my three year old granddaughter a large chocolate chip cookie for dessert and she…

    2 条评论

社区洞察

其他会员也浏览了