Sun. Jul 21st, 2024

Amazon believes it has the best chatbot for businesses and management, one that is much better than ChatGPT. Called Q, the new chatbot can help answer questions on coding, management and can also generate and summarise content, like blog posts, press releases, and emails

In a major announcement at the re:Invent conference in Las Vegas, Amazon has introduced a revolutionary AI-powered chatbot named “Q” specifically designed for AWS customers. Priced at $20 per user per year, the chatbot is now available for public preview.

Q, revealed during a keynote address by AWS CEO Adam Selipsky, is equipped to answer inquiries such as “How do I build a web application using AWS?” With its knowledge base drawn from 17 years of AWS expertise, Q not only provides solutions but also offers reasoning behind its suggestions.

The uniqueness of Q lies in its ability to be configured by AWS customers who can connect it to and customize it with organization-specific applications and software, including Salesforce, Jira, Zendesk, Gmail, and Amazon S3 storage instances.

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By indexing connected data and content, Q learns about a business, encompassing organizational structures, core concepts, and product names.

Beyond mere question answering, Q has the capability to generate and summarize content, such as blog posts, press releases, and emails.

Additionally, it can perform actions on behalf of users through configurable plugins, automating tasks like creating service tickets, notifying teams on Slack, and updating dashboards in ServiceNow.

To prevent errors, Q prompts users to inspect and validate actions before execution. Accessible through the AWS Management Console, a web app, and popular chat platforms like Slack, Q possesses a deep understanding of AWS and its extensive array of products and services.

Selipsky highlighted Q’s troubleshooting capabilities, including the analysis of network connectivity issues and the generation of remediation steps by examining network configurations. Q is also integrated with CodeWhisperer, Amazon’s service for generating and interpreting app code.

In an impressive internal use case, a small Amazon team utilized Q to upgrade approximately 1,000 apps from Java 8 to Java 17 and test them in just two days.

Code transformation features are currently limited to upgrading Java 8 and Java 11 apps to Java 17, with support for .NET Framework-to-cross-platform .NET coming soon.

Amazon envisions Q extending its capabilities to first-party products like AWS Supply Chain and QuickSight, offering visualization options for business reports and providing real-time analyses for queries related to supply chain delays.

Notably, Q is making strides in Amazon’s contact centre software, Amazon Connect, enabling customer service agents to receive proposed responses and suggested actions powered by Q, streamlining customer interactions and improving post-call summaries for supervisors.

In response to concerns about data security and privacy, Selipsky emphasized that Q is fully controllable and filterable. It adheres to user permissions and identities, and administrators can restrict sensitive topics to ensure appropriate use.

Q is poised to compete with similar offerings like Microsoft’s Copilot for Azure and Google Cloud’s Duet AI, but its comprehensive approach to business intelligence, programming, and configuration use cases positions it as a significant player in the AI landscape.

(With inputs from agencies)

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