Numerous studies show organizations increasing investments, piloting solutions, or already being fully deployed in generative AI. These companies are not merely following a trend. Retailers are increasing conversions, innovations in life sciences are accelerating - every industry is automating work and building applications that achieve new heights.
The easiest way to build these applications is with Amazon Bedrock - a fully managed service that brings capabilities from numerous leading AI companies into a single API. Amazon Bedrock offers the ability to quickly build and scale generative AI applications that support a seemingly endless number of use cases.
The potential can certainly make imaginations run wild. While it’s great to think of the possibilities, it is much harder to determine how to get there. Companies putting generative AI into production most effectively are working with AWS partners like Mission to bridge the gap. Our team can help you manage infrastructure, execute MLOps, and provide all the technical expertise that will maximize your deployment of Amazon Bedrock.
Amazon Bedrock Supports your Gen AI use case
Intelligent Document Processing
Revolutionize document processing by automating data extraction, summarization, and content generation tasks. Natural language processing models analyze and understand the content of documents, making it easier to organize, search and extract valuable information.
Chatbots
Intelligent chatbots engage in natural and meaningful conversations with customers. AI understands user queries, provides relevant responses, and even provides a human experience by training models on vast amounts of conversational data.
Sentiment Analysis
Accurately classify text as positive, negative or neutral, so you can gain valuable insights from customer feedback. Track brand reputation in real-time, identify potential issues, and make data-driven decisions based on sentiment trends.
Dubbing & Translation
Automate the process of transcribing, translating and dubbing audio and video content. Models trained on multilingual datasets can accurately transcribe spoken words, translate into different languages, and generate synchronized dubbing.
Marketing Content Generation
Generate product descriptions, social media posts, and ad copy. Leverage industry and audience data to make creative and persuasive text that aligns with your brand and audience preferences.
Content-Specific Image Generation
Create images by training a model on a dataset of other images, and employing similar characteristics. Designers can quickly iterate through different design options and generate graphics that are unique and brand-consistent.
eBook: Securing Generative AI with AWS
Our AWS experts have crafted a comprehensive guide covering all there is to know about security when it comes to generative AI on AWS. Discover common pitfalls, key insights, best practices and more!
Developers can choose from a variety of high-performing foundation models (FMs), which allows them to experiment and select the ones that best suit their specific use cases. Amazon Bedrock also provides an easy-to-use developer experience, enabling users to privately customize FMs with their own data through a visual interface. Developers can then adjust hyperparameters and fine-tune models to ensure better accuracy and achieve optimal model performance.
Fully Managed Agents
Users are able to leverage fully managed agents to execute complex business tasks seamlessly. These agents can dynamically invoke APIs, eliminating the need for extensive code writing. Bedrock's managed agents streamline the development process by breaking down tasks, creating orchestration plans and executing them efficiently. This feature allows developers to focus on the core functionality of their applications, saving time and effort.
Native Support for RAG
Amazon Bedrock offers native support for retrieval augmented generation (RAG), enhancing the power of foundation models. By connecting FMs to company-specific data sources, developers can make the models more knowledgeable about their specific domains and organizations. This feature improves the accuracy and relevance of the generated outputs. Leveraging proprietary data, developers can further customize the outputs of the models, ensuring better alignment with their specific requirements.
Data Security and Compliance
There are several capabilities for supporting security & privacy, enterprise compliance, and risk mitigation. User content is not used to improve base models, nor is it shared with third-party providers. Amazon Bedrock ensures that data is encrypted in transit and at rest. Users can encrypt data using their own keys. Additionally, features like HIPAA eligibility and GDPR compliance ensure developers can build genAI applications in a secure and compliant environment.
Why Mission
Proven Gen AI Expertise
Mission brings unmatched credentials for generative AI deployment as one of the few launch partners with the AWS Generative AI Competency. With decades of AI experience on our leadership team, we have developed over 100 unique generative AI solutions. We know the intricacies of Amazon Bedrock and how to tailor it to your use case.
Comprehensive Support
From defining objectives to selecting the appropriate models, we help you navigate the entire generative AI journey. We provide an in-depth evaluation of your resources, budget, and goals, create AI understanding within your team, and guide you through application development and training. Our process facilitates a smooth transition and enables tailored and efficient solutions.
Diverse Use Case Experience
Mission has successfully implemented generative AI across numerous applications including dubbing and translation pipelines, intelligent document processing, call center enhancements, and dozens more. This breadth of experience has exposed our team to the most crucial challenges to overcome in genAI deployment, and we have developed effective strategies to overcome these obstacles across industries.
Infrastructure Leadership
We excel at creating robust support systems for managing genAI applications. As a born-in-the-cloud managed services provider, we understand how to build, optimize, and maintain the infrastructure that powers generative AI applications. Our MLOps expertise ensures your models remain efficient, secure, and scalable as your business needs, and viable solutions, continue to evolve.
Check out the Mission AI Lab
Explore the vast potential of generative AI on AWS to generate original content and concepts for your business, revolutionize your applications, create novel customer experiences, improve productivity, and transform your business operations.
“We were immediately impressed with Mission’s expertise both on AWS and with generative AI. Working with Mission has not only provided much needed AWS expertise to ensure our business is secure, reliably online, and optimized, but also to build out a bleeding-edge Machine Learning pipeline on top of AWS cognitive services. Partnering with Mission will enable us to achieve a long-held goal for MagellanTV, which is to massively expand the reach of our documentary platform and strengthen our position as a truly global company.”
Thomas Lucas
CO-FOUNDER AND DIRECTOR AT MAGELLANTV
Get in touch
Want to talk about using Amazon Bedrock for your business?
Schedule your free Amazon Bedrock consultation with a Mission Cloud Advisor today.
