Amazon Quicksight Q
Launched in 2016, Amazon QuickSight is a scalable, serverless, embeddable, ML-powered business intelligence (BI) service built for the cloud.
At re:Invent, AWS introduced the new Amazon QuickSight Q, a ML-powered capability for Amazon QuickSight that allows users to type questions about business data in natural language and get answers in seconds.
“You don‘t have to know the tables, you don’t have to know the data stores, you don’t have to figure out how to ask the question the right way -- you just ask it the way you speak,” Jassy said. “Q will do auto-filling and spellchecking, so that it makes it even easier to get those queries written.”
Amazon QuickSight Q uses sophisticated deep learning, natural language processing, schema understanding and semantic parsing of SQL code generation, according to Jassy.
“It is not simple,” he said. “However, customers don‘t need to know anything about that machine learning.”
AWS trained the models over millions of data points and different vertical domains, according to Jassy, who said Amazon Quicksight Q would “completely change the BI experience.”
“It‘s pretty amazing how fast machine learning is continuing to evolve,” Jassy said. “And although we have over 100,000 customers who are using our machine learning services -- a lot more than you’ll find anywhere else -- and a much broader array of machine learning services than you’ll find elsewhere, we understand that it is still very early days in machine learning, and we have a lot to invent.”
AWS’ re:Invent messaging on ML was so pervasive that CloudCheckr’s Valentine said he foresees a future where “AWS isn’t viewed as a public cloud company at all and is instead an IT solution provider powered by ML.”