Generative AI is being used by NASA to accelerate complex tasks, reducing weeks of work to days. It can enhance data querying, improve enterprise knowledge management, and provide access to all data using natural language. Challenges in managing and modernizing financial data systems are discussed, with a focus on reducing hallucinations with the help of generative AI.
Generative AI can accelerate complex tasks and improve efficiency, particularly in question answering and data accessibility.
Generative AI can be utilized as a mechanism to discern human intent, reducing errors and hallucinations in querying and accessing data.
Deep dives
Generative AI speeding up processes at NASA
Generative AI solutions are helping NASA reduce the time it takes to complete complex tasks from weeks to days. This technology is expected to have a significant impact in various sectors, including enterprises. Kendall Clark, CEO of Star Dog, mentions that generative AI can accelerate the completion of complex tasks and improve efficiency. One area where generative AI will have a major impact is in question answering, replacing the traditional process of query writing. This technology allows for easier and faster access to data, speeding up the decision-making process.
Transition from knowledge management to data management
The discussion in the podcast also highlights the evolution from knowledge management to data management. Kendall Clark addresses the challenges and complexities that enterprises face in managing large volumes of data. He emphasizes the importance of managing both structured and unstructured data, as well as the growing need to connect data from various sources. The application of generative AI, such as LLM (Language and Learning Models), plays a significant role in knowledge organization and data accessibility. By utilizing generative AI, companies can effectively manage and utilize data to enhance productivity and decision-making processes.
Addressing hallucinations and leveraging generative AI
One challenge discussed in the podcast is the issue of hallucinations in generative AI systems. Kendall Clark presents a solution to this problem by using generative AI as a mechanism to discern human intent rather than as a direct source of data. By leveraging generative AI to determine intent, organizations can translate natural language queries into queries that can be executed by the platform, reducing the chance of errors or hallucinations. This approach provides a more reliable and controlled way of accessing and querying data, especially in regulated industries where accuracy and precision are crucial.
Generative AI won't be building Falcon 9s or new space shuttles just yet. But can it help with all the work that goes into running an organization that builds the future?
According to Kendall Clark, CEO of Stardog, yes.
Generative AI that democratizes access to data and insight and knowledge speeds up organizations can help with launching space ships, or anything else. For NASA, a generative AI solution is apparently helping the team to do in days what used to take weeks.
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