Ada from BoostKPI is a privacy-first, comprehensive AI data analyst that excels at reporting, generating insights, and finding root causes of KPI anomalies in high cardinality, time series datasets.
Today marks a huge leap forward in data analytics, as we officially unveil Ada (for Ai Data Analyst) - the first privacy-first AI Data Analyst, revolutionizing how businesses interact with their data.
🔍 Why Ada?
In an era where data privacy is paramount, Ada stands out by offering comprehensive insights without compromising your data's confidentiality. While existing tools like analytics dashboards highlight the “known knowns” and make it possible to check the “known unknowns”, Ada uncovers the important “unknown unknowns” that are often overlooked. With the capability to sift through billions of data segments, Ada identifies the root causes of your business challenges, providing actionable insights like never before.
💡 Features that Set Ada Apart:
- Unparalleled Analysis: Delve into billions of data segments to uncover the root causes impacting your business.
- Cost-Effective Solution: At 10x cheaper than hiring a data analyst, Ada is not just advanced but also economically advantageous.
- Granular Alerting: Stay ahead of the curve with Ada's precise alerting, ensuring you're always informed about the critical metrics that matter most.
- Proven Track Record: Trusted by public companies like Wish.com and unicorns like Smugmug.com, Moloco.com, and InMobi.com, Ada is not just a tool but a transformational force in data analysis.
🎉 Try Ada Today
With GPT integration, you can try out a limited version of Ada at https://chat.openai.com/g/g-sKhL... . Just upload a csv file at the GPT store or use one of the demo datasets to get going. Learn more at https://docs.boostkpi.com/docs/d... For a free POC, go to https://boostkpi.com Ada integrates with multiple data warehouses like Amazon RedShift, Google BigQuery, Databricks, and Snowflake.
Join us on this exciting journey and see why Ada is the game-changer your business has been waiting for.
@debabrata_dash Thank you for the support.
The inspiration for applying GPT to structured data stemmed from a desire to close the gap between the complexities of data analysis and its accessibility. By leveraging GPTs, we can offer a user-friendly interface that simplifies the process of querying, analyzing, and understanding structured data. This innovation enables businesses to harness their data more effectively, eliminating the need for deep data science knowledge.
To maintain reliability and prevent inaccuracies, we've implemented measures to avoid hallucinations and ensure accurate outcomes for our users. In advanced analyses, such as our drilldown feature, which identifies key segments contributing to most changes from potentially millions or billions of possibilities, we adopted an orchestration strategy. Here, GPT serves as the user-facing component, supported by a specialized ML algorithm designed to handle billions of segments swiftly. This approach, combining multiple ML algorithms with GPT, guarantees an exceptional user experience.
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