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Yes, security is a top priority for Dot. We ensure data protection and information security when handling customer data. Please read more:
https://docs.getdot.ai/security-and-privacy
Dot is powered by OpenAI's leading large language models GPT-4 and Ada.
Data sent to these models will never be used for training: https://openai.com/policies/api-data-usage-policies
ChatGPT is known for hallucinations, but Dot ensures trustworthy analytics by:
1. Basing answers on your company's data model and semantic layer
2. Employing an automated component to validate results
3. Providing an evaluation framework for data teams to test Dot's performance
4. Offering full auditability, detailing Dot's steps in reaching a result.
Dot offers no-code integrations for data warehouses (Snowflake, BigQuery, Redshift, Postgres), semantic layers (dbt, Looker), and communication tools (Slack, Teams). It automatically adapts to your team's usage, providing seamless performance.
For optimal success, maintain a well-defined, governed data model, as this simplifies both data analysts' and Dot's tasks.
No, AI like Dot enhances productivity by automating specific tasks. Data teams handle diverse responsibilities such as data integration, quality control, and business guidance.
Dot streamlines ad hoc requests, freeing up engineers' time to focus on other hard problems.