Amazon Q Consulting
AI solutions for AWS efficiency and everyday business problems
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Help your dev teams ship faster while empowering analysts to better leverage your data
You're drowning in data spread across multiple systems and bogged down with manual tasks adding friction to development. We help you unlock the power of Amazon Q to streamline business intelligence, accelerate AWS optimization, and boost productivity.
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80%
The productivity boost possible with Amazon Q
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1,000
The number of applications upgraded by a 5-man team in 2 days using Amazon Q
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37% – 50%
The first shot code acceptance rate for Amazon Q customers
Solution Fit Criteria
Amazon Q For Business
- Your business relies on marshaling document-based or unstructured data
- This data lives in different systems
- There is no single, useful way to query it
- Data accessibility has a direct impact on revenue
- You need something more flexible than SQL for leveraging your data
- You need to expand access to non-technical roles
- Natural language querying is suited to your data types and uses
- Collecting and analyzing user queries is a revenue opportunity
Amazon Q For Developers
- You’ve got language version or dependency upgrades or refactors you’ve been delaying or would like to be automated
- You want code generation without compromising the privacy of your repos
- Documentation is an ongoing challenge
- You want to augment or automate your test suites and test generation
- You want to bolster your vulnerability scanning and CI/CD processes
- You have non-AWS experts who need to do operations work
- You don’t have a technical support team for AWS
Amazon Q empowers business processes and developer tools
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Amazon Q Business
Leading companies like GoDaddy, Smartsheet, Sun Life, and Toyota leverage Amazon Q to provide data-driven insights, automate workflows, build custom AI apps and make faster decisions.
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Amazon Q Developer
Innovative developer teams at Toyota, Blackberry, BT Group, National Australia Bank and more use Amazon Q to increase developer velocity through AI-assisted coding, autonomous agents, and optimized cloud ops.
Industries Empowered by Amazon Q
Capabilities of Amazon Q
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Most accurate code generation
Amazon Q has industry-leading acceptance rates for multi-line code suggestions by tapping into your internal codebases to provide relevant recommendations.
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Autonomous software agents
Amazon Q agents can analyze your apps, plan and implement new features end-to-end, manage upgrades across languages, and remediate security vulnerabilities.
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Build generative AI apps quickly
The new Amazon Q Apps lets an employee describe the capability they need and generate a custom AI application utilizing your internal data sources.
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Accelerate Business Intelligence
Connect to your enterprise data sources, leverage advanced Q&A and summarization, build custom data-driven applications with natural language - all with enterprise-grade security.
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Automate your AWS Optimization
Get optimization and operations suggestions for your AWS environment, troubleshoot alerts and configuration issues, remediate vulnerabilities, and supplement your team’s technical breadth.
Our process
At Mission Cloud, we're dedicated to helping companies unlock the full potential of Amazon Q. Our engagement process is designed to ensure a seamless integration with your existing systems and workflows. Here's an overview of how we can assist you:
- Discovery: We start by understanding your business goals, pain points, and current data landscape.
- Data Connectors: We'll work with you to establish the necessary connections between Amazon Q and your existing data sources, such as databases, spreadsheets, or cloud storage services. This can involve using ETL services, like Amazon Glue, and also native visualization services, like Amazon QuickSight.
- Prompt Engineering: Our experts will help you craft effective prompts that extract valuable insights from your data, ensuring Amazon Q provides accurate and actionable recommendations. We can also train your team on how to build effective prompts.
- Tuning, QA, & Support: After building your implementation, we’ll assist on tuning to meet performance metrics you need. We also offer ongoing support for data management and the management of your AWS environment more generally.
By partnering with us, you can rest assured that you're receiving expert guidance and support every step of the way.
How do I know if I have a good use case for Amazon Q?
If you're dealing with complex, dynamic data that requires timely insights, Amazon Q might be the perfect fit. Ask yourself: Are you struggling to make sense of large datasets? Do you need to predict outcomes or identify trends quickly? If so, Amazon Q can help you uncover hidden patterns and make data-driven decisions.
Is Amazon Q only for big corporations with massive datasets?
No! Amazon Q is designed to be accessible to businesses of all sizes. Whether you're a startup looking to gain traction or an established company seeking to stay ahead of the curve, Amazon Q's AI-powered technology can help you extract insights from your data, regardless of its size.
How secure is my data with Amazon Q?
Data connectors with Amazon Q are subject to the same security guarantees as any other service connected via API to AWS. In practice, this means that your security posture and data privacy guarantees should not change significantly when implementing Amazon Q, but it’s still important that this work is done correctly to prevent accidental disclosures and that your AWS environment is architected in a way that aligns with best practices.
Should I be concerned about hallucinations with Amazon Q? How do I ensure the accuracy of its answers?
Yes, hallucinations, as with any generative AI platform, are always possible. AI can generate an incorrect answer if the input question is ambiguous or open-ended, the agent itself is misconfigured, or the underlying data is incomplete, outdated, or biased. You may need to spend some time tuning Amazon Q for your use case, ensuring your data has been properly cleaned and maintained, and engineering precise prompts to be maximally effective with Amazon Q. With that said, you can prevent Amazon Q from responding in certain ways by using its global controls and topic-level controls, but keep in mind that these guardrail systems are generally designed to keep a language model away from certain topics or conditions of answers, not enforcing the accuracy of those answers.
How does Amazon Q compare to other products like it?
At the moment, there isn’t much comparable to Amazon Q’s tight integration with AWS and this is unlikely to change in the foreseeable future. Each cloud provider is working on similar agent-style approaches to improve its own cloud or suite of services, but like AWS, they are limiting that functionality to their respective products. So, for example, while Copilot can augment the coding process and a GitHub-powered delivery process, there is little in the way of direct integration with AWS that’s likely to yield the same sorts of benefits you can get from Amazon Q. Generally speaking, the closest comparison to Amazon Q would be any of the available code generation AIs + an agent which you built and trained yourself on your datasets and unique development environment.