Generative AI on AWS

Solution Overview

Generative AI on AWS

What is generative AI?

Generative AI refers to a form of artificial intelligence capable of generating fresh and original content and concepts such as narratives, videos, audio tracks, and beyond. By employing generative AI using AWS, one can revolutionize their applications, craft completely novel customer experiences, enhance productivity to unparalleled levels, and revolutionize their business operations. Amazon has launched Bedrock and Foundation Models accessible through SageMaker Jumpstart which allow you to use your internal data for the training, keeping your data private.

Whether you’re just getting started, or needing to scale your pre-existing model’s infrastructure, Mission Cloud will guide your way.

Customer service (like a chatbot) helping to resolve requests and answer common questions from your customers.

Document and image analysis, especially for legal or medical files, to extract important takeaways or synthesize information that would otherwise require the parsing of an expert.

Summarize the search results from databases internal to your business or as a general interface to knowledge across the web.

Coding, particularly for initial prototype work, integrating an unfamiliar library, or help with debugging.

Content generation, like the writing of documentation or marketing to customers with messages tuned to fit your brand and channel.

Whether you have a full model in production, or we’re building from scratch, the Mission Cloud team will meet you where you are at.

First, we work backward with you to understand your current use-case and what you’re hoping to achieve.
Next, we co-develop a model with you, using either open source or a foundational model’s API.
From there, we design your AWS infrastructure with Generative AI best practices, using established tools.

Throughout this process, we analyze things like:

What current models you may have
Which model matches your use case and budget objectives
Your business needs
What usage patterns you expect
Curating a historical training dataset
Prompt engineering best practices for your solution
Automation opportunities for QA, Training, and Parameter Validation

Customer Success Story

JibJab

JibJab, a digital entertainment studio that enables users to browse, customize, and send personalized eCards, needed a cloud managed services partner with deep machine learning expertise to help build out a new head cropping technique for their new product, Starring You Books. Mission Cloud successfully built JibJab an ML solution capable of quickly and automatically cropping a user's face and hair from an uploaded image, which then was applied to fun and whimsical characters to be printed and delivered as a book product. Mission Cloud exceeded JibJab's expectations of building an algorithm that cropped and produced high-quality images with 90% accuracy instead of the original accuracy goal of 85%, enabling an enhanced customer experience and high-quality product.

Read Customer Success Story

Solutions

Generative AI on AWS

Solution Overview