GPT · 官方动态 · 2026/09/10

Now everyone can put data to work

来自 OpenAI 的官方更新，已整理为站内阅读版本。

GPT 官方动态

Meet the Data agent in ChatGPT Work. Connect company data, uncover insights, and build interactive dashboards with AI using natural language.

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Now everyone can put data to work | OpenAI

September 10, 2026

Product

Now everyone can put data to work

Meet the new Data agent in ChatGPT Work: turn your company’s data into answers, interactive dashboards, and action, just by asking.

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Connect to the company data and context your business trusts

People across every business have questions that data can answer. Why did sales slow down? Where is spending rising? Which issues threaten renewals in our largest accounts, and what should we fix first? Getting those answers often means waiting for a report or asking someone else to run the analysis.

We’re introducing a new Data agent in ChatGPT Work⁠(opens in a new window) to help more people answer those questions themselves. It connects to your company data, investigates what changed, and builds interactive dashboards you can share. Direct and refine the analysis in one conversation, without writing queries or learning a new analytics tool.

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Connect to the company data and context your business trusts

The Data agent connects to approved data sources including Amazon Redshift, Datadog, Google BigQuery, ClickHouse, Databricks, MongoDB, Snowflake, and more. It can also bring files and documents from Google Drive and SharePoint into the analysis.

It uses your organization’s business terms, metric definitions, custom calculations, and data relationships to interpret the data. This context comes from semantic layers and trusted sources such as Databricks Genie Ontology, dbt, GitHub, Snowflake Horizon, and BI dashboards.

Platform partners

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“With the Data agent in ChatGPT Work, users can connect directly to Amazon Redshift, making it as easy as asking a question to explore data, surface insights, and make faster decisions across their organization.”

—Naresh Chainani, Director of Engineering, AWS

“Connecting ClickHouse to the Data agent in ChatGPT Work puts real-time analytics in front of all business users making decisions big or small.”

—Ryadh Dahimene, Director of Product Management, ClickHouse

“Thousands of organizations rely on Databricks Genie to deliver trusted answers on their enterprise data. Genie has the rich context for bridging the gap from data to insights. We are thrilled to partner with OpenAI to make it easy for all ChatGPT users to tap into Genie’s data intelligence.”

—Ken Wong, Senior Director, Product Management, Databricks

“Our customers have built a trusted foundation for enterprise data and context in Snowflake. With the Data agent in ChatGPT Work, employees can tap into that data and access controls to investigate business questions—while OpenAI models simultaneously bring intelligence to experiences like Snowflake CoCo and CoWork. Teams share a common, governed understanding of their business wherever they choose to work.”

—Umesh Unnikrishnan, Head of Developer Experiences, Snowflake

“Our customers’ most important data lives in Atlas, updating in real time as their business runs—every order, every session, every event landing as it happens. Now the Data agent in ChatGPT Work can reach that data directly, so instead of waiting on a report built from yesterday’s numbers, anyone can ask a plain-language question and get an answer grounded in what’s happening right now.”

—Pablo Stern, Chief Product Officer, AI and Emerging Products, MongoDB

“Connecting Redis to the Data agent in ChatGPT Work lets agents go beyond querying data to acting on it in real time, with context and access controls our customers already trust. Teams spend less time wiring systems together and more time putting that data to work.”

Rowan Trollope, CEO, Redis

“G2’s trusted B2B software data with the Data agent in ChatGPT Work helps teams understand buyer needs, competitive dynamics, and emerging trends. It brings insights from verified customer reviews, buyer intent signals, and market intelligence directly into the workflows where teams make decisions.”

—Godard Abel, CEO and co-founder, G2

AWS
ClickHouse
Databricks
Snowflake
MongoDB
Redis
G2
AWS
ClickHouse
Databricks
Snowflake
MongoDB
Redis
G2

Enterprise administrators choose which data connections are available and which roles can use them. Queries enforce the connected account’s existing permissions, including table, row, and column restrictions.

Turn questions into analysis and action

Ask follow-up questions to investigate the results and review the evidence behind each finding.

Turn the analysis into an interactive dashboard with built-in visualizations. Your team can edit, share, and refresh it as needed. Share your brand guidelines to tailor outputs to your organization’s look and feel.

Adoption and retention Business performance analysis Operational performance Product growth Financial analysis

Follow the customer journey from installation and first use to ongoing activity. Find where customers get stuck and uncover opportunities to improve adoption.

**Prompt:**Create a dashboard tracking adoption of our product—from installation and first use to ongoing activity and retention. Help us find where customers get stuck.

The Data agent can also build and interact with dashboards in Omni, Oracle BI, Power BI, Sigma, Tableau, and ThoughtSpot. Direct the work in plain language in the tools your team already uses.

BI tools

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“Connecting Tableau with ChatGPT Work brings trusted business semantics into a place employees already work, so the answers they get are grounded in the same data model their teams rely on. Users can easily transform insights into action by asking questions, exploring evidence, and publishing new views directly to Tableau using built-in design and analytics best practices.”

—Southard Jones, EVP & Chief Product Officer, Tableau

“Power BI helps people make better decisions with a trusted semantic layer used by hundreds of thousands of enterprises. With the Data agent in ChatGPT Work, users have a new option to create Power BI dashboards by simply describing their business questions, making it easier for more people to understand their data and act on it.”

—Bogdan Crivat, Corporate Vice President, Microsoft Fabric

“Our customers use Sigma for revenue forecasts and operational planning because the metrics, workbooks, and analysis behind them are governed and shared. Bringing that into ChatGPT Work means the fastest place to ask a question is now also the place where answers are grounded in semantics.”

—Hassen Karaa⁠(opens in a new window), SVP of Product, Sigma

“Analytics should work where your teams work. With the Data agent in ChatGPT Work, teams can build ThoughtSpot AI analytics in minutes using natural language. Business users get governed answers based on definitions they already trust, while developers ship working embedded analytics apps from a single prompt.”

—Bhargav Addala, SVP, Product Management, ThoughtSpot

Tableau
Microsoft Power BI
Sigma
ThoughtSpot
Tableau
Microsoft Power BI
Sigma
ThoughtSpot

Ask ChatGPT Work to recommend next steps and identify who needs to be involved. It can share the findings through Slack or email and carry out the actions you approve through connected tools.

Built from the tools we use to analyze data at OpenAI

We use the capabilities behind the Data agent broadly across OpenAI. Nearly all of our product team and over two-thirds of our GTM organization use data agents in ChatGPT Work to analyze company data themselves. Our data team made this possible by creating shared business definitions, setting access rules, and putting safeguards in place for sensitive data. Learn more by reading this post⁠(opens in a new window) and attending our webinar⁠(opens in a new window).

NTT Data, Thermo Fisher, ServicePiston, and other organizations in our Alpha program are using the Data agent in ChatGPT Work to analyze sales and spending, catch reporting errors, and decide which opportunities to pursue and how to staff them.

Customer examples

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“At NTT DATA, licensing costs, effort, and technical expertise have made it difficult to expand the use of dashboards across our organization. With the Data agent in ChatGPT Work, many non-engineers, particularly in sales and corporate functions, have been able to build and update their own dashboards using plain language.”

—Yuji Shono, Head of Global AI Office, NTT DATA Group

“At Thermo Fisher Scientific, we’re using the Data agent in ChatGPT Work with data from our existing environment to help our teams prepare more effectively and to identify opportunities with our supply base. We see potential for clearer analysis and better-informed decisions that can help us better serve customers.”

—Bharadwaj Ramachandran, Senior Manager AI Solutions

“At ServiceTitan, we used the Data agent in ChatGPT Work to build a dashboard showing that users of Atlas, our AI sidekick, launched campaigns at roughly three times the rate of nonusers. That finding is helping us simplify onboarding and help more customers adopt Atlas.”

—Ankur Bhatt, VP Engineering, Agent OS and Applied AI, ServiceTitan

“At Zipline, we’re using the Data agent in ChatGPT Work to explore our company data and build dashboards just by asking in natural language. In early testing, it surfaced profound findings that would have taken one of our best people hours of digging through the data to uncover.”

—Ryan Oksenhorn, Co-founder, Zipline

“At Empower, we used the Data agent in ChatGPT Work to combine organizational and AI usage data, uncover adoption trends, and do our own analysis. What impressed us was how easily it made sense of free-form survey responses, surfacing top use cases and insights that would otherwise have taken significant manual effort to uncover.”

—Tori Langlois, Innovation Lab Enablement Lead, Empower

“Our leadership team used the Data Agent in ChatGPT Work to better understand every part of our business—from analyzing the sales funnel and Intercom ticket volume to reviewing Brex card spend. Each leader could quickly build custom views and dig deeper into the trends that mattered most.”

—Shivam Shah, Co-founder and COO, Piston

“Within two days, different teams across marketing and finance were using the Data agent in ChatGPT Work to turn raw data into interactive dashboards tailored to each office. It’s made sophisticated reporting more accessible, helping us deliver clear, shareable insights to leaders across the firm.”

—Paul Griz, Senior Manager, Information Technology, Doeren Mayhew

“At CookUnity, our Growth team used the Data agent in ChatGPT Work to build and refine a high-season conversion dashboard just by asking. We checked the results against internal reports and cut the time needed to plan our seasonal acquisition spending.”

—Dave Senior, Head of Applied AI, CookUnity

“At Turing, our Business Operations team used the Data agent in ChatGPT Work to explore operational metrics and ask follow-up questions. It surfaced drivers behind changes, helping us reduce manual reporting and prioritize improvements to onboarding and customer satisfaction.”

—Usama Nadeem, Senior Data Scientist, Turing

“As an OpenAI evaluation partner, we’d already seen strong results from the Data agent in ChatGPT Work through our robust evaluations. Using it internally at micro1 gave us the chance to see that value firsthand. Our operations team built its own dashboards by asking questions in plain language, and in half an hour, rebuilt our performance tracking dashboards while catching errors in the original.”

—Carlos Arroyo, Strategic Project Lead at micro1

“We use it to understand where demand is strongest across industries, accounts, and AI use cases, and how changes in our pipeline align with delivery capacity. Our business development and delivery leaders can edit, share, and refresh those scorecards to prioritize opportunities and match the right expertise to client needs.”

—Thanos Giannakopoulos, Tech Director AI&ML, Unit8

NTT DATA
Thermo Fisher Scientific
ServiceTitan
Zipline
Empower
Piston
Doeren Mayhew
CookUnity
Turing
micro1
Unit8
NTT DATA
Thermo Fisher Scientific
ServiceTitan
Zipline
Empower
Piston
Doeren Mayhew
CookUnity
Turing
micro1
Unit8

Get started with the Data agent

You’ll find the Data agent listed as Data⁠(opens in a new window) in the Plugins directory in ChatGPT Work. Administrators can make it available or install it for their teams through Workspace settings > Plugins. They can also enable and configure the relevant data-source plugins, such as Databricks and Snowflake, and manage who can use them.

If Data isn’t already installed, find it in the Plugins directory and select Install plugin, or go directly to the Data listing⁠(opens in a new window). Complete any required account-connection steps, then start a conversation with @Data and ask your business question.