Databricks, a San Francisco-based startup valued at $38 billion, has launched an artificial intelligence assistant designed to help data analysis companies analyze complex corporate data using everyday language.
Joining the ranks of tech giants like Adobe and Intel, Databricks is at the forefront of leveraging chatbots capable of human-like conversations to sift through business data, such as sales transactions and reports, to provide insights.
LakehouseIQ: Simplifying Data Analysis without Coding
Databricks’ primary product enables efficient storage and analysis of massive corporate data. However, this process typically requires data scientists to write code for data manipulation. The newly introduced system, LakehouseIQ, allows users to ask questions naturally without the need for coding. An AI system interprets the queries, retrieves the necessary data, and produces relevant answers.
Databricks aims to provide even greater value with LakehouseIQ by training the AI system on a company’s specific data. Besides, it will allow it to quickly grasp crucial information like fiscal year dates and industry-specific terminology. This customization ensures the AI assistant understands the unique jargon and domain of each organization.
FiscalNote Selected as Inaugural Partner for Databricks’ Data Marketplace
FiscalNote, a leading AI-driven enterprise SaaS technology provider, has been chosen as one of the launch partners for Databricks’ innovative data analysis marketing. This collaboration expands FiscalNote’s customer base by over 9,000, presenting new opportunities for customer acquisition.
Dataiku, the platform for Everyday AI, has received the prestigious 2023 Databricks AI Partner of the Year Award. This recognition underscores Dataiku’s commitment to innovation and collaboration in the dynamic AI and ML landscape.
Dataiku and Databricks: Empowering Data Analysis Report
The partnership between Dataiku and Databricks emphasizes their dedication to meeting the evolving needs of organizations. They aim to foster collaborations and support data analysis companies and AI initiatives on a large scale. Through this collaboration, users can seamlessly blend Apache SparkTM code and visual recipes in Dataiku, powered by the Databricks Lakehouse Platform, driving the success of data and AI projects.
