Bytecode, a leading data analytics consultancy, has partnered with Google Data Cloud to deliver AI-powered analytical agents. This collaboration aims to empower organizations to leverage the power of generative AI and Looker’s trusted analytics for faster and more reliable insights.
One of the key challenges in adopting generative AI in analytics is integrating Large Language Models (LLMs) with an organization’s specific business terminology and metrics. While LLMs excel at understanding and generating natural language, they often lack an understanding of the specific business context.
Bytecode’s solution addresses this problem by leveraging Looker’s semantic modeling layer, which provides unified definitions of business metrics and dimensions. By combining LLMs with Looker, organizations can create analytical agents that can understand natural language queries and deliver accurate, contextually relevant insights.
Bytecode provides an example of one of their clients, OfficeSpace, a SaaS workplace management platform. OfficeSpace has integrated AI agents into their core product to enable faster and easier management of desk reservations and space management experiences. By leveraging Gemini models and Looker, OfficeSpace can go beyond dashboards and deliver accurate, governed insights directly within their chat experience.
Bytecode emphasizes the importance of a robust training process to ensure the accuracy and reliability of the analytical agents. The training process involves providing Gemini with common business questions and the expected results, allowing the model to understand the relationship between natural language and Looker queries.
Overall, Bytecode’s collaboration with Google Data Cloud represents a significant step towards making generative AI a practical tool for data-driven decision-making. By combining the power of LLMs with Looker’s semantic modeling layer, organizations can empower their users with faster and more reliable insights, ultimately leading to better business outcomes.
