April Platform Update: Bring Your Own Data into Datastreamer

This month's platform update introduces a feature we have wanted to ship for a long time: the ability to plug your own unstructured data, or external data from any vendor, directly into Datastreamer. Once your data is connected, the platform automatically transforms it into a unified schema and applies AI models that pull value out of unstructured text at scale.

Three easy steps to save months of time

Connecting a data source takes roughly ten minutes. Once it is connected, you can run advanced queries on data that used to be unstructured and apply the platform's AI enrichment. These are capabilities that normally take months to build in-house.

For the full walkthrough, see the bring your own data documentation. If you would like help getting set up, you can book a call and we will provision your API key.

The data pipeline of the future

Integrating external data into analytics products and specialized AI models has historically been difficult. This update is built to remove that friction. With it, you can:

• Build data pipelines in minutes, without a large engineering investment.
• Get more value from your data through advanced AI models, including sentiment analysis, PII redaction, and more.
• Expand your data coverage with access to billions of external data points.
• Scale with lower data costs, on managed infrastructure optimized for massive volumes of text data.

Keep reading

Two resources worth a look alongside this update:

• Get More ROI from Twitter Enterprise Data
• The Challenges (and Solutions) of Building Generative AI Models