Is ChatGPT a Catalyst for Innovation?
Photo Credit Avi Bender

Is ChatGPT a Catalyst for Innovation?

AI Driven Business Process Innovation

(This article appeared in the ACT-IAC Innovation Newsletter published June 6, 2023) #innovation #chatgpt #businessprocess #solutionsales #solutionsarchitect #cloud #designthinking #problemsolving #federalcontracting #creativethinking #knowledgeworkers


About two years ago I started writing about business model innovation and the ways we can create an operational environment to promote creativity, problem solving, and deliver on the mission. I touched upon such topics as data, first principles of design, and ways to better formulate strategies to achieve mission outcome. The underlying theme about everything I write is the need to ask insightful and probing questions for which there may not be immediate answers. All too often we attempt to solve problems by getting the best answers and best technology but not necessarily by asking the right questions and therefore not solving the core problem. This then brings me to AI as it may be applied in the Federal civilian government to deliver citizen services. Advances in natural language processing, deep learning, computer vision and other AI tools have made it easier and more convenient to get answers much faster than to understand the actual problem.

What I find intriguing about AI, in its many forms, is that unlike past innovations that changed operating models and eliminated certain repetitive manual and administrative work this new AI wave will hit the knowledge worker the hardest. I define knowledge workers across all industries and government as the staff who support decision making, data analyses, and who provide business acumen and technical insight by leveraging their education, acquired life skills, and experience. We were technology and data consumers and leveraged tools to analyze and synthesize data into information for others to understand and make decisions. In other words, we as knowledge workers still had a role to play because deriving insights and communicating results were unique intellectual skills. No longer.

Knowledge workers (including myself) will derive both great benefits and also face stiff career challenges from OpenAI algorithms like ChatGPT. What ChatGPT has demonstrated so far is that a question asked of Google or Bing that took some thoughtful time to research, analyze, verify, and synthesize can now be answered relatively reliably and in a perfect narrative in a few seconds within reach of a mobile device. Position papers and even speeches can be crafted via AI and communicated expertly. Algorithms may soon be able to review Request for Proposals (RFP’S) and automatically prepare written responses. Algorithms have computational powers, and they too work from their home offices somewhere in the cloud and don’t require personal engagement and in person collaboration. We just don’t have to think as hard as we did prior to the Internet and prior to ChatGPT. We can depend on algorithms to do the thinking for us.

The NLP algorithms are now so powerful in scanning, extracting, synthesizing, and preparing informative answers based upon an existing knowledge base. But what they can’t do, for now, is define a problem, and create a new product, tool, or service on their own. There is still a need for the knowledge worker to think, ask questions, imagine, discover, and leverage these powerful AI tools for business process innovation. AI is a tremendous enabler for the knowledge worker who can ask questions, engage in collaboration, and imagine broader possibilities through diversity of human thinking.

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
  • AI as an Infrastructure Shared Service

    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…

  • 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
  • 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