Now everyone can put data to work

UpdateSep 10, 2026VerifiedAdded Sep 22, 2026

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

AI agents BI

Read OpenAI's release notes

https://openai.com/index/put-data-to-work

Summaries of vendors' own notes. Product names and logos belong to their owners; logos via logo.dev.

More ChatGPT releases

ChatGPTSep 10, 2026

Introducing ChatGPT for Financial Services

Introducing ChatGPT for Financial Services, combining built-in financial data and GPT-6 Astra for research, modeling, and client-ready materials.

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ChatGPTSep 10, 2026

Expanding AI access and cyber defense for federal, state, local, and tribal governments

OpenAI and GSA will offer eligible federal, state, local, and tribal governments $0 license fees, 50% off usage, and expanded cyber defense support.

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ChatGPTSep 9, 2026

GPT-6 Astra: The next generation in intelligence for work

Meet GPT-6 Astra, OpenAI’s most capable model for business, with advanced reasoning, computer use, and stronger writing and design judgment.

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ChatGPTSep 8, 2026

Introducing ChatGPT Images 2.5

ChatGPT Images 2.5 helps turn your ideas, sketches, and reference photos into more personalized, polished images that better reflect your ideas.

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ChatGPTSep 16, 2026

Reimagining advertising with AI

Explore new AI-powered advertising experiences from OpenAI, including Sponsored Agents, tools for marketers, and integrations with HubSpot and Shopify.

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ChatGPTSep 17, 2026

Introducing Astra for Law

OpenAI for Law brings frontier intelligence for law, custom firm workflows, connected legal data sources, and legal-grade controls for confidential client work.

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ChatGPTSep 3, 2026

GPT-6 Astra: A new generation of intelligence

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ChatGPTSep 1, 2026

Healthcare organizations can now connect EHR and additional industry data to ChatGPT

ChatGPT can now connect to trusted healthcare data, helping clinicians securely access patient context, medical research, and more.

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Also shipped on Sep 10, 2026

Google Cloud BigQuerySep 10, 2026

BigQuery conversational analytics adds ML.CORRELATION in preview

Conversational analytics can now use ML.CORRELATION to calculate statistical correlations between a target column and one or more metric columns in a table.

PreviewSQLSource

Google Cloud BigQuerySep 10, 2026

BigQuery ML.METRICS evaluates predictions without a stored model

The preview ML.METRICS function computes classification or regression evaluation metrics on any table or query with actual and predicted values, with no need to create or reference a stored model.

PreviewSQLGovernanceObservabilitySource

Google Cloud BigQuerySep 10, 2026

You can use the AI.CAUSAL_EFFECT function to quantify the impact of specific interventions on time series data

You can use the AI.CAUSAL_EFFECT function to quantify the impact of specific interventions on time series data. This feature is in Preview .

PreviewSource

Google Cloud BigQuerySep 10, 2026

BigQuery Data Engineering Agent integrates with BigQuery Graph

The Data Engineering Agent now uses BigQuery Graph for extra context between source and destination schemas, improving schema mapping accuracy in data engineering pipelines. It is generally available.

GAAI agentsSQLData integrationSource

Snowflake SnowflakeSep 10, 2026

Using dbt artifacts for Slim CI and defer to production in dbt Projects on Snowflake (General availability)

Slim CI, defer to production, failed-execution recovery, and concurrent execution are now generally available for dbt Projects on Snowflake. Reuse dbt artifacts from recent production executions to accelerate development, streamline CI/CD workflows, and recover from failed production runs without maintaining a separate artifact store.

GAStreamingSource

Snowflake SnowflakeSep 10, 2026

External secret providers (Preview)

External secret providers are now in preview. If your organization already keeps API keys, database passwords, and similar values in AWS Secrets Manager, Azure Key Vault, or Google Cloud Secret Manager, Snowflake can read those values when a query needs them, so you don't have to maintain a second copy in a Snowflake secret .

PreviewSQLSecurityDeveloper toolsSource