Unlocking the Power of Generative AI and Large Language Models.

40AU invited esteemed experts Dr. Edmund Jackson and Dr. Jules White to delve into the transformative potential of generative AI and its far-reaching applications across diverse domains.

Generative AI: A New Interface to Computation

Our journey into the world of generative AI begins with Dr. Julie White, Associate Dean for Strategic Learning Programs at Vanderbilt University, framing it as a paradigm shift—a new interface to computation. Unlike conventional graphical user interfaces (GUIs), this innovative approach empowers users to interact with AI systems using natural language prompts. Dr. White emphasizes that this transformation simplifies complex tasks through text-based prompts, effectively broadening the scope of tasks that can be accomplished with computing.

Generative AI simplifies complex tasks through text-based prompts, enabling users to achieve results that previously necessitated extensive software engineering.

Dr. White, an Assistant Professor of Computer Science in the Dept. of Electrical Engineering and Computer Science at Vanderbilt University, further illustrates the incredible capabilities of generative AI by demonstrating its impact on document analysis. Users can now upload documents and pose questions, enabling the extraction of valuable insights from even the most complex and lengthy documents, such as policy manuals. This functionality not only saves time but also enhances decision-making processes.

Generative AI swiftly analyzes documents, extracts pertinent information, and provides answers—a valuable tool for industries grappling with vast amounts of textual data.

Another fascinating facet of generative AI is its proficiency in generating software. Traditionally, coding for tasks like parsing receipts or creating reports necessitated extensive programming expertise. However, generative AI empowers users to offer plain text instructions, and the AI autonomously generates the required code.

Generative AI empowers non-developers to effortlessly create software solutions, reducing barriers to entry for tasks in automation and data analysis.

Visualization and Presentation Made Effortless: Generative AI’s transformative potential extends to data visualization and presentation creation. It can convert data into visually engaging charts and even generate entire PowerPoint presentations, all based on user preferences and data analysis. This simplification streamlines the data-driven decision-making process.

Generative AI streamlines data visualization and presentation creation, enabling users to effectively communicate insights.

AI that Builds AI: Our exploration concludes with the revelation of generative AI’s ability to autonomously construct tools and software to solve specific problems. This concept is likened to a shovel that, before digging, identifies obstacles, crafts necessary tools, removes obstructions, and resumes digging—a metaphor for how generative AI builds tools to overcome challenges encountered during tasks.

Generative AI can autonomously create software tools to address specific challenges, unlocking doors to innovation and automation in various domains.

Affordability and Access to AI: One critical concern raised is whether AI technology will become too expensive for individuals and smaller businesses to afford. As AI tools advance, affordability and accessibility will be crucial factors in determining their widespread adoption.

Diversity of AI Solutions: The future of AI is likely to feature a diverse landscape of AI solutions, ranging from large-scale providers like OpenAI and Google to specialized tools. This diversity will cater to various industries and use cases, offering tailored solutions for specific needs.

Quality Control and Filtering: Incorporating large volumes of data into AI systems, such as company emails, raises questions about quality control. Ensuring that AI systems filter out irrelevant or inappropriate information is essential to maintain data integrity.

Knowledge Curation: AI systems can struggle with discerning the quality of information. Human curation and the application of policies and procedures are vital for determining what should be included in knowledge bases.

Specialist AI Models: The trend in AI development is shifting towards creating specialist AI models that excel in specific tasks. These specialized models can offer improved reliability and speed for particular applications.

Coordination of AI Models: Coordinating multiple specialized AI models to answer complex questions can be an effective approach. Combining the strengths of different AI models can enhance the overall performance and capabilities of AI systems.

Balancing Mega AI and Specialized AI: The future AI landscape may feature both mega AI providers and a multitude of specialized AI tools. Finding the right balance between these two categories will be crucial for achieving the best results in various domains.

Favorite AI Tools: When it comes to AI tools, preferences may vary. Some participants mentioned OpenAI’s GPT-3 and Google’s Gemini as their preferred tools, highlighting the diversity of AI offerings available.

Continuous Exploration: AI technology is still evolving, and the journey of exploration and discovery continues. The willingness to adapt and learn is essential for both individuals and businesses looking to leverage AI effectively.

Collaboration and Innovation: As we collectively navigate the evolving AI landscape, sharing insights and experiences can help drive progress in the field. From simplifying complex tasks to enhancing decision-making and empowering non-developers to create software, generative AI is poised to revolutionize industries across the board.


Dr. Jules White is a prominent figure in the world of computer science and AI. Currently serving as the Associate Dean for Strategic Learning Programs at Vanderbilt University, he brings a wealth of expertise to the field. Dr. White holds the position of Assistant Professor of Computer Science in the Department of Electrical Engineering and Computer Science at Vanderbilt University, where he has significantly contributed to academic research. He has been recognized for his outstanding work with the National Science Foundation CAREER Award, a prestigious accolade in the field.

Throughout his career, Dr. White’s research has been nothing short of exceptional, earning him multiple Best Paper Awards and an impressive publication record of over 160 papers. Beyond academia, he has also made substantial strides in the practical application of his research. As Dean of Strategic Learning Programs, Dr. White led Vanderbilt’s online MS in Computer Science to the top spot, securing the #1 ranking by Fortune for online MS in Computer Science degrees—an accomplishment that underscores his dedication to advancing education in the digital age.

Dr. White’s research focus extends to critical domains such as cyber-security and mobile/cloud computing, touching on areas as diverse as healthcare and manufacturing. His work has been licensed and transitioned to industry, where it has had a significant impact. Notably, his innovations won an Innovation Award at CES 2013, a massive event attended by over 150,000 people, and were recognized as finalists for the Technical Achievement Award at SXSW Interactive. Furthermore, his contributions to the field of mobile technology earned a top-three spot in the Accelerator Awards at SXSW 2013.

Demonstrating his prowess beyond research and innovation, Dr. White has also excelled in the entrepreneurial arena. He has successfully secured over $12 million in venture backing for his startup companies, showcasing his ability to bridge the gap between academic research and real-world applications.

Dr. Edmund Jackson is a trailblazer in the application of data and AI to enhance the quality and effectiveness of American healthcare. His personal mission led him to make significant contributions in the field, and his journey took him to Nashville, where he joined HCA Healthcare as Chief Data Scientist. Over the course of eight years, Dr. Jackson played a pivotal role in applying data science to address the challenges faced by the nation’s largest private healthcare company.

Under his leadership, Dr. Jackson’s teams developed a multitude of data science products that had a profound impact on healthcare outcomes. Among these, “SPOT,” a data science-enabled sepsis workflow solution, emerged as a life-saving innovation, earning recognition and several industry awards. It continues to make a difference by saving lives on a daily basis.

However, Dr. Jackson’s contributions go beyond individual products. His team’s signature creation at HCA, “NATE,” stands as a testament to his vision. NATE is a real-time, AI-enhanced digital twin of the HCA system, revolutionizing various workflows—from emergency response to discharge planning and clinical decision support.

Dr. Jackson’s academic journey is equally impressive. With degrees in electronic engineering, including a BscEng and MScEng, and a Ph.D. in statistical signal processing from Cambridge University, his educational background underscores his deep-rooted expertise in the field.

Dr. Edmund Jackson’s career exemplifies the transformative potential of AI and data science in healthcare. His work not only drives innovation but also makes a tangible difference in patient care and outcomes, reflecting his commitment to enhancing the healthcare landscape in the United States.

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