Amazon Web Services (AWS) on Tuesday announced a new generative AI powered chatbot, named Amazon Q, for enterprises at its annual Re:Invent event in the US.
According to AWS, Amazon Q can leverage data from customer information repositories, codes and company systems to generate quick and relevant answers. It can also advise employees on how to streamline tasks, solve problems and make faster decisions.
AWS also said that Amazon Q can personalize its interactions based on an employee’s identity, roles, and permissions within the organization. The chatbot has been trained on 17 years of AWS data and can be accessed by enterprise users through multiple channels including a conversational interface from the AWS Management Console, documentation pages, integrated development environment (IDE), Slack or other third-party chat apps.
Amazon Q is available to customers in preview, Amazon Q in Connect is generally available and Amazon Q in AWS Supply Chain is expected to release soon.
“AWS is helping customers harness generative AI with solutions at all three layers of the stack, including purpose-built infrastructure, tools, and applications,” said Swami Sivasubramanian, VP of Data and AI at AWS.
Most organizations hold large volumes of data scattered across various documents, systems, and applications. This poses a challenge for employees, who have to spend significant time gathering, analyzing, and presenting information for their customers.
AWS claims that generic generative AI-powered chatbots lack the organizational context and security measures essential for secure and compliant workplace use.
Unlike Amazon Q, most of the general AI-based chatbots are not designed to understand an organization's unique business context, its data, customers, operations, or employees. As a result, they are not aware of the work employees perform, who they interact with, the information they access, and their authorization levels.
The popularity of generative AI tools such as ChatGPT, Bard, LlAMA or Stable Diffusion and what they can do has attracted a lot of attention from enterprises who want to leverage these tools for work.
According to a survey by O’Reilly, published in November, 67% of enterprise users said that their companies are using generative AI.
Several Indian firms such as MakeMyTrip have also partnered with Microsoft to offer a generative AI based chat and summarization experience to its customers.
Among large IT firms, Tata Consultancy Services (TCS) announced November 27 that it will be implementing AWS generative AI practice in its operations to help its customers leverage generative AI in different parts of their value chain to achieve more business growth.
In June, HCLTech said that it is expanding its partnership with Google Cloud to co-develop solutions using generative AI. HCLTech will also train more than 18,000 workers on Google Cloud generative AI technologies, in addition to setting up a Generative AI Center of Excellence.