DataGPT Launches Out of Stealth to Help Users Talk Directly to Their Data Using Everyday Language

Flagship Solution Emerges as First ‘Conversational AI Data Analyst’ that Instantly Finds Answers Hidden Across Large Corporate Data Sets Using Multi-Step Reasoning

DataGPT, the leading provider of conversational AI data analytics software, announced the launch of the DataGPT AI Analyst, uniting the creative, comprehension-rich side of a large language model (LLM) with the logic and reasoning of advanced analytics techniques (the “left brain”). This combination makes sophisticated analysis accessible to more people without compromising accuracy and impact.

Companies everywhere are struggling to conduct analysis as quickly as business questions evolve. Current business intelligence (BI) solutions fall short, lacking iterative querying needed to dig deeper into data. Similarly, consumer-facing generative AI tools are unable to integrate with large databases. Despite investing billions in complex tooling, 85% of business users forgo them, wasting time and money as data teams manually parse through rigid dashboards, further burdened by ad hoc and follow-up requests. Conversational AI data analysis offers the best of both worlds.

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“Our vision at DataGPT is crystal clear: we are committed to empowering anyone, in any company, to chat directly to their data,” said Arina Curtis, CEO and co-founder, DataGPT. “Our DataGPT software, rooted in conversational AI data analysis, not only delivers instant, analyst-grade results, but provides a seamless, user-friendly experience that bridges the gap between rigid reports and informed decision making.”

DataGPT can proactively uncover insights for anyone, in any company. Non-technical business users and department managers can type questions into a familiar chat window interface using the same natural language they would when chatting with a colleague. They can ask questions like “why is my revenue down this week?” and easily dig deeper into the data using follow-on prompts that uncover additional levels of detail, like “tell me more about the drop from influencer partnerships.” DataGPT can process billions of rows of data in real time and provides both insights and visualizations, a key differentiator from other available offerings.

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Key benefits of DataGPT include:

• Lightning Cache – DataGPT’s proprietary database is 90 times faster than traditional databases, enabling 15 times cheaper analysis and running queries 600 times faster than standard business intelligence tools.
• Data Analytics Engine – General purpose LLMs struggle with computationally complex questions. Ask DataGPT a question, and it will execute millions of queries and calculations to determine the most relevant and impactful insights.
• Data Analyst Agent – Smart enough to handle the ambiguities of human speech and accurately interpret which data elements are of interest to the user, our self-hosted LLM manages contextual interpretations and avoids the inaccuracies (“hallucinations”) of generic foundation models.

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By empowering anyone to ask any question of their data, DataGPT is putting skilled analysis capabilities into the hands of the everyday user, boosting efficiency, and helping companies build a modern, advanced data culture. These newly attainable insights can unlock previously undiscovered revenue streams and free up nearly 500 hours each quarter for busy data teams, allowing them to focus on higher-yield projects. DataGPT plans to open source its database in the near future.

“DataGPT has transformed our business, taking the investments we’ve made in our data and making those insights more broadly available to any team across our company,” said Michelle Bellettiere, Head of Data Analytics, Plex. “Instead of relying on data analysts’ time, I can get an instant read on our daily performance, allowing me to understand in minutes information that could take hours to track down in other tools. With DataGPT, I’m closer to our data than ever before without sacrificing other priorities.”

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