Episode 024 - Is low-code Spatial AI possible? With Grant Case from Dataiku
Is point'n'click end-to-end low-code spatial AI... possible? What about *no code*? The answers are yes and yes. Knowledge of development patterns, code syntax, and typing speed are no longer barriers for entry. It's time to explore spatial data!
Dataiku's AI Platform Capabilities
This episode features Grant Case, the Vice President of Sales Engineering at Dataiku for the Australia Pacific Japan region. Grant discusses Dataiku’s AI platform and its capabilities in handling various data types, including structured, unstructured, and spatial data. Dataiku caters to different user personas, from low-code and no-code users to pro-coders, through its intuitive interface and integration with open-source libraries.
Grant shares examples of how Dataiku leverages large language models (LLMs) and digital twinning to enhance data understanding and decision-making processes.
Advancements in Large Language Models (LLMs)
The conversation shifts to the advancements in large language models (LLMs) and their impact on data analysis. Grant discusses how LLMs have opened up new possibilities for unstructured data use cases, such as natural language processing (NLP) and spatial analysis. He provides examples of how LLMs can assist in tasks like understanding business locations and mapping data.
Digital Twinning and Spatial Data Analysis
Grant highlights the concept of digital twinning, which involves creating virtual replicas of physical systems or environments. He discusses how digital twinning can be applied to various domains, such as disaster recovery, infrastructure planning, and manufacturing. Grant also shares examples of how Dataiku leverages LLMs and computer vision for spatial data analysis and decision-making.
Dataiku's Integration and Deployment Options
The discussion touches on Dataiku’s integration with open-source libraries and its deployment options. Grant emphasizes Dataiku’s ethos of being open to both proprietary and open-source technologies, allowing customers to choose the best solution for their needs. Dataiku supports cloud, on-premises, and hybrid deployment models to cater to different organizational requirements.
Data Governance and Future Developments
AB and Grant discuss the challenges of data governance and the role of Chief Data Officers (CDOs) in organizations. Grant shares his thoughts on future developments in the AI and data analytics space, including the concept of Retrieval Augmented Generation (RAG) and its applications.
Connect with Grant on LinkedIn here.
Watch the full episode on YouTube here.
