By: Adam Pease
Amazon Web Services re:Invent event took place this week and talked about some of their advanced capabilities in artificial intelligence
At its re:Invent 2021 event this week, Amazon Web Services demonstrated several of its enhanced application capabilities with an emphasis on its artificial intelligence offerings. In particular, ease of use and no-code capabilities were themes that stood out in the cloud computing provider’s development and voice analytics tools. This blog reviews some AI highlights from the event.
No-Code and Low-Code with SageMaker Canvas
One focus of the event was promoting ease of use in artificial intelligence. Aragon has written about the importance of low-code and no-code solutions for streamlining the process of AI development in the past. We highlighted low-code development as an important trend earlier this year in our research about the state of the conversational AI market.
Amazon has embraced these trends with the announcement of its own no-code machine learning service called SageMaker Canvas. Canvas makes use of a simple, point-and-click interface to enable users to design their own AI models that can solve business problems. Making use of AWS’s vast databases, models can be trained to produce insights at scale.
Voice Analytics and Contact Center with Amazon Connect
Alongside its model development offerings, AWS also demonstrated the feature set of Amazon Connect, its suite of intelligent contact center offerings. Similarly, the emphasis was on low-code AI-enabled solutions. In the case of Connect, AWS pointed to the platform’s voice analytics with its call summarization feature, which flags important moments in conversations for post-hoc agent review.
With the announcement of its enhanced Amazon Lex Chatbot Builder, AWS brings an intuitive chatbot design experience to Connect. Lex makes use of automation to process large volumes of conversation quickly and parse data for customer intent or pain points.
Bottom Line
AWS is putting AI center-stage in its application demonstrations. In particular, low-code / no-code development stands out as an area of focus that we feel reflects broader trends within the market. Low-code development represents one important piece of the rise of citizen developers, a topic Aragon has written about in the past, and one that we feel will continue to grow in relevance as time goes on.