A Fear of Missing Out and a Fear of Messing Up : A Strategic Roadmap for ChatGPT Integration at Work
Does your organization allow ChatGPT at work? The answer might depend on where you work. Many organizations
do not allow ChatGPT at work. The truth is that for the organizations, ChatGPT is a fear of missing out and a fear of messing up. But, just like any other past new technologies such as Cloud computing and social media, the
organizations eventually integrate ChatGPT or other Large Language Model (LLM). This paper is for those especially
Biometrics who want to initiate ChatGPT integration at work.
This paper presents how Biometric department can lead the integration of LLM, focusing on the exemplary model
ChatGPT, across an entire enterprise, even in situations where the organization restricts or prohibits ChatGPT usage at work.
The roadmap outlines key stages, starting with an introduction to LLM and ChatGPT, followed by potential risks and
concerns and the benefits and diverse use cases. The roadmap will emphasize how Biometrics function leads the
building of a cross-functional team to initiate ChatGPT integration and build the policy and guidelines. Then, the
roadmap discusses the crucial aspect of training, emphasizing user education and engagement based on company
polices. The roadmap finishes with a Proof of Concept (PoC) to validate and evaluate the ChatGPT’s applicability to
organizational needs and its compliance to company policies.
This paper can serve as a valuable resource navigating the implementation journey of ChatGPT, providing insights
and strategies for successful integration, even within the confines of organizational limitations on ChatGPT usage.
do not allow ChatGPT at work. The truth is that for the organizations, ChatGPT is a fear of missing out and a fear of messing up. But, just like any other past new technologies such as Cloud computing and social media, the
organizations eventually integrate ChatGPT or other Large Language Model (LLM). This paper is for those especially
Biometrics who want to initiate ChatGPT integration at work.
This paper presents how Biometric department can lead the integration of LLM, focusing on the exemplary model
ChatGPT, across an entire enterprise, even in situations where the organization restricts or prohibits ChatGPT usage at work.
The roadmap outlines key stages, starting with an introduction to LLM and ChatGPT, followed by potential risks and
concerns and the benefits and diverse use cases. The roadmap will emphasize how Biometrics function leads the
building of a cross-functional team to initiate ChatGPT integration and build the policy and guidelines. Then, the
roadmap discusses the crucial aspect of training, emphasizing user education and engagement based on company
polices. The roadmap finishes with a Proof of Concept (PoC) to validate and evaluate the ChatGPT’s applicability to
organizational needs and its compliance to company policies.
This paper can serve as a valuable resource navigating the implementation journey of ChatGPT, providing insights
and strategies for successful integration, even within the confines of organizational limitations on ChatGPT usage.
Leveraging Gen AI (ChatGPT, Gemini) API for Advanced Analysis in SAS, Python and R
Since its release, ChatGPT has rapidly gained popularity, reaching 100 million users within 2 months. Not only we could use ChatGPT for prompting, but we could build application / codes using API. The paper explores the integration of Gen AI (e.g., OpenAI, Gemini) API into biometric data analysis workflows using SAS, Python, and R programming languages. The paper will display the workflow of Gen AI integration and provide sample codes for SAS, Python, and R programming. First, the paper will show how to create API in OpenAI ( paid) and Gemini ( free version). Secondly, it will help to create the input data containing prompts and the questions to Gen AI. Thirdly, it will create codes (e.g., SAS, Python, R) to read the input data and to generate output data. Fourth, it will show how to read output data to obtain the results from ChatGPT. The paper also presents a document-based question-answering system leveraging LangChain, Retrieval-Augmented Generation (RAG), and OpenAI models. It will show how we could build a simple chatbot for ADaM IG. Finally, the paper will explore the potential use cases of Gen-AI application to revolutionize biometric function, outlining innovative solutions and strategies for leading this technological advancement such as code conversion, code generation, prompt-driven data visualization, content development (e.g., SAP, CSR, Narratives), AI Agent driven automation and many more. Furthermore, it will address the inherent risks associated with Generative AI-generated output and propose mitigation strategies.
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About the Instructor
Kevin Lee is a seasoned Data Scientist and Biometrics Leader with over two decades of experience in advanced technologies, focusing on SAS, multi-lingual programming especially Python, data sciences, and machine learning within the pharmaceutical industry. His passion for leadership and innovative technologies has driven continuous advancements in the field.
Recently, Kevin has expanded his expertise to include Generative AI (Gen AI) and Python programming, building on his strong foundation in SAS. He is captivated by the transformative potential of Gen AI, particularly in its integration with SAS and Python programming. Kevin is enthusiastic about sharing his extensive knowledge and expertise in Gen AI, Large Language Models (LLM), ChatGPT, and Copilot to push the boundaries of technological advancement in the programming field. As a dedicated lifelong learner, Kevin has delivered around 150 papers and taught AI courses at the major university. He is excited to bring his unique blend of experience and enthusiasm to his upcoming courses, "Gen AI for SAS Programmers" and "Python Programming for SAS Programmers." Outside of his professional pursuits, Kevin loves watching sports like football, baseball, and soccer, despite his wife's attempt on other hobbies such as landscaping and home improvements. |
