The modern data infrastructure and analytics stack represents the next generation of tools that help organizations ingest data from multiple sources as well as transform, store, and use it to accelerate and develop their own AI and ML applications. These tools also allow users to query the system in a conversational language without any additional technical assistance while obtaining insights in real time.

Developments in AI have helped automate tasks like ingestion and data transformation. This has allowed organizations to lower the risk of errors when handling data and obtain insights that may not be possible with traditional approaches.

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