You can now generate text embeddings in BigQuery and apply them to downstream application tasks using familiar SQL commands.

TraceMark’s sustainable sourcing monitoring platform provides transparency into global supply chains about the sourcing of raw materials.

Carto’s conversational GIS relies on BigQuery to provide information to generative AI, while BigQueryML connects to Vertex AI and PaLM2.

Cloud computing is proliferating businesses across all industries. According to a recent survey by the Harvard Business Review, 81% of respondents said cloud is very or extremely important to their company’s growth strategy. Overall, nearly two-thirds of senior executives stated their businesses have accelerated their plans to migrate to the cloud.

Atlas AI‘s geospatial artificial intelligence platform that helps organizations anticipate changing societal conditions to help them make investment decisions.

The new BigQuery connector to Google Earth Engine improves ease-of-use and enables new analyses that combine raster and tabular data.

One of the most common challenges of analytics adoption is ensuring that your customers or end-users can see and extract value from their data and reporting tools. Providing people with new and improved embedded analytics tools is unfortunately not enough to guarantee that everyone will be able to use them without additional assistance or encouragement.

Today we have exciting news to share with the debut of our new capacity model pricing for Qlik Analytics! This is an extension of our capacity model we introduced this spring for data integration. This is also the latest in a series of evolutions here at Qlik aimed at helping organizations more easily use data and analytics to better inform business decisions across any part of their organization.

Finance teams today are facing unique challenges as they adapt to the post-pandemic landscape. Between shifts in the talent landscape and ongoing recession fears, finance leaders are now focused on steering their organizations through turbulent market conditions that require faster, more accurate forecasting and reporting capabilities to support agile decision-making.

In part one of this series, we discussed the evolution of Yellowfin’s Guided NLQ solution and focused on aspects of Guided NLQ that stand apart from the competition. In part two, we will look deeper at Sisense’s NLQ offering, Simply Ask, to provide an understanding of how Guided NLQ stacks up directly to other natural language query options.