Summary

Not all the important data is present in a structured format. A significant amount of important information is found in unstructured forms such as audio, videos, documents, recordings, and so on. The progress that’s been made in ML has enabled us to analyze these unstructured data sources on a large scale to extract actionable insights and inform key business decisions. Google has worked on this ML research problem extensively to come up with state-of-the-art solutions for voice, vision, NLP, speech, and more.

In this chapter, we learned about different offerings from Google for understanding and extracting information from unstructured data formats, including audio, videos, images, documents, phone call recordings, and more. After reading this chapter, we should now have a good understanding of each of these offerings, including their key features and potential use cases. After discussing them in detail, we should now be able to find new use cases to apply these...