At the level of enterprise, AI makes sense when it is combined with the data of that company. AI drives value by working with the data.

Google has launched BigQuery Studio. It is a new way to deal with the data. Data provides new insights to the companies. Many organisations seek to derive value from investments made into big data and AI.

There are challenges in analyzing big data. Google, therefore, has launched BigQuery Studio. It is in fact a serverless data warehouse. It allows one to edit programing languages (SQL, Python and Spark) and ML at large scale (say petabyte scale). BigQuery Studio and AI people are the two sides to provide access to all services that the organisation needs. BigQuery Studio deals with the data — discovery, exploration, analysis and prediction of data. It could be started in a programming note book which later be opened in a programming note book which later can be opened in other services, say Vertex AI (ML platform). It allows teams to access data from where they are working. The controls are added.

Both generation and processing of data could be seen in BigQuery Studio.It then gets used in AI. The ML code can directly be infused in BigQuery as infrastructure.

BigQuery Studio facilitates the progression of an organisation adopting AI to cloud. It is a big market, and Google wants a sizeable market share.