Amazon Q connects to the company's existing data sources, code repositories, and systems to understand its business. It can then synthesize this information to provide employees with personalized, relevant recommendations and actions.

Amazon has announced the launch of Amazon Q, a new generative AI assistant designed specifically for the workplace. It promises to transform tasks such as decision-making, content creation, and problem-solving. Amazon Q aims to simplify daily work and ensure enterprise-level security and privacy protection.

For example, a marketing manager can ask Amazon Q to convert a press release into a blog post or generate social media captions based on brand guidelines. It can also analyze performance data and create summaries for leadership.

Access controls limit Amazon Q's responses to content that employees are allowed to view. It also provides references to the original sources for traceability. Over 40 built-in connectors integrate popular tools like Salesforce, Slack, and ServiceNow.

For developers and IT teams, Amazon Q can answer a wide range of questions, from AWS best practices to debugging code. It can explain unfamiliar concepts, troubleshoot deployment issues, and even suggest code optimizations.

Once you log in to Amazon CodeWhisperer, it automatically activates Amazon Q's session feature within the IDE.

It is trained on 17 years of AWS knowledge and experience, providing rich resources for building, deploying, and running applications and workloads on AWS. This includes assistance with complex queries, guidance on AWS services, and troubleshooting through various platforms such as the AWS Management Console, documentation pages, and IDEs.

In applications like Amazon QuickSight, it can build data stories and answer ad-hoc analysis questions using dashboard views. For customer service teams in Amazon Connect, it can monitor conversations and provide relevant articles or solutions to agents.

In these applications, Amazon Q aims to save employees time on repetitive tasks, provide advanced capabilities for non-technical users, and encourage innovation.

One key differentiator of Amazon Q is its focus on security, which is lacking in some early generative AI tools. Amazon Q personalizes interactions using the company's existing identity providers and permissions. It never uses customer data to train its models. Multiple controls allow administrators to filter topics and responses. These precautions are designed to mitigate the risks of leaking sensitive information or generating biased and inaccurate content.

At a time when interest in generative AI is surging, thanks to the viral spread of image generation tool DALL-E and text generation tool ChatGPT, this announcement comes as a significant development. While these groundbreaking consumer-oriented tools are not built for enterprise needs.

Amazon Q represents an evolution towards generative AI tailored specifically for businesses, leveraging Amazon's cloud infrastructure and security capabilities.

This announcement has already sparked interest from several prominent customers and partners. Accenture plans to enable Amazon Q for 50,000 developers and IT professionals. BMW believes it will accelerate data-driven decision-making. Life sciences leader Gilead expects it to speed up their research and development work.

These early adopters highlight the potential of Amazon Q to enhance productivity, simplify decision-making processes, and accelerate content creation, reflecting the tool's broad applicability across various industries.

During its preview period, many capabilities of Amazon Q are available for free. Two plans, Amazon Q Business and Amazon Q Builder, will be launched soon, with pricing and access based on a per-user basis. The Business plan, designed for general business use, will be priced at $20 per user per month, while the Builder plan, targeting developers and IT professionals, will be priced at $25 per user per month and will offer additional AWS-specific support.