Ryan Aytay, CEO of Tableau, has shared insights into the company's initiatives to improve data analytics adoption through the integration of AI. Tableau is collaborating with Salesforce to leverage its Einstein Copilot and Data Cloud capabilities, enabling customers to access a unified source of truth from multiple data sources. Aytay emphasizes Tableau's mission to cater to all individuals within an organization, not just analysts, and highlights the development of tools like Pulse for real-time data and insights delivery. The company aims to address the challenges posed by the fragmented data landscape and provide trusted data insights through the Salesforce Data Cloud. Aytay underscores the importance of ensuring the safety and trustworthiness of AI, mentioning the potential for conversational analytics and integrations with Slack. He also emphasizes Tableau's flexibility and commitment to meeting customer needs, including on-premise AI technology. Additionally, Aytay discusses Tableau's pricing strategy, which prioritizes delivering ROI to customers and avoiding unnecessary costs. In the Asia-Pacific region, Aytay observes a growing interest in AI and data analytics, particularly in countries like Indonesia. He emphasizes the need for AI to deliver tangible returns and highlights Tableau's investments in the region, such as data residency and security measures.
Meanwhile, analytics software company Databricks is launching its own AI-powered graphics generator for its enterprise customers. The visualization tool is deeply embedded in the entire product and has the intelligence to understand data. Databricks is experiencing sales growth of about 60% in the first half of the year. The demand for AI adoption is coming from companies across the planet. However, over 85% of organizations are struggling to get AI into production. Databricks is not in a rush to go public and will do so when it makes sense for the company.
In another development, Prophecy Inc. has introduced an AI copilot for Databricks called Data Transformation Copilot. This tool streamlines the preparation of raw data for analytics and AI applications by integrating visual interfaces, compiler technology, and generative AI. Prophecy's customer base includes users in the banking, insurance, healthcare, and technology industries. The copilot allows users to build their own pipelines, reducing dependency on platform teams and making users more productive and self-sufficient. Prophecy's integration with Databricks supports preparing unstructured data for AI, along with the Unity Catalog and Delta Lake. The copilot is designed to make all data users productive on the platform they already have.
Oracle has been recognized as a Leader in the 2024 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms. The recognition is based on Oracle's Ability to Execute and Completeness of Vision. Oracle Analytics Cloud, an AI-powered solution, helps customers analyze data and make decisions more effectively. Oracle continues to innovate with new solutions like Fusion Data Intelligence and updates to Oracle Analytics Cloud. Fusion Data Intelligence leverages Oracle Cloud Infrastructure services and provides analytics and AI capabilities for finance, supply chain, HR, and customer service teams. Oracle also integrates OCI AI Services into its Analytics Cloud, enhancing data storytelling and enabling users to generate AI outputs using third-party cloud services. Oracle offers integrated suites of applications and secure, autonomous infrastructure in the Oracle Cloud.
Otto for Excel is an AI-powered spreadsheet tool designed to streamline data management by automating thousands of tasks in minutes. It offers customizable columns, advanced filtering, and granular cell controls for precision. The tool also includes a built-in AI Assistant that provides insights and helps users navigate their data. Otto is available for immediate use with flexible pricing options. Upcoming features include data analysis graphs. With its advanced features and upcoming enhancements, Otto for Excel aims to become an indispensable tool for efficient data management.
Microsoft has developed an AI tool called SpreadsheetLLM that applies large language model capabilities to spreadsheets. The tool, based on a concept called SheetCompressor, reorganizes spreadsheets into a form that LLMs can use as a data source. It includes functions for compression, translation, and data format aggregation. SpreadsheetLLM opens the door to using LLM technology to revolutionize the way spreadsheets are used, from automating data entry to data analysis and presentation of complex information. The research team suggests that this will make spreadsheets and the data they hold much more accessible and useful. [720913cf]