Unleash the Power of AWS Generative AI
AWS Generative AI Solutions
Overview
Transform your healthcare operations with our expert-led AWS Generative AI services.
As healthcare AI specialists, we understand the unique challenges and opportunities in implementing AI within regulated healthcare environments. Choose from our specialized service offerings, each designed to accelerate your organization's AI adoption while ensuring compliance and maximizing return on investment.
Generative AI
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GENERATIVE AI
We utilize cutting-edge AI technology to improve efficiency, knowledge, and satisfaction for both employees and customers. Our team possesses extensive expertise in NLP best practices and a wealth of experience working with a wide range of LLMs, from large-scale to more specialized models
Virtual Assistant and Copilot Experiences
We create rich, tailored virtual assistant and copilot experiences to empower your employees, users, and more
RAG for Document Understanding and Search
We use Gen AI to put your proprietary knowledge at every user’s fingertips with the latest in retrieval-augmented generation technology
Product Design & Adoption
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Product Design and Adoption
No black boxes, no hyperbole. We engineer understandable AI solutions that consistently deliver measurable business impact
Product Development
We define and execute tailored product development plans aimed at addressing specific business needs and creating impactful solutions that solve problems across your organization
Design and User Experience
We design application experiences with clear and intuitive information hierarchies, efficiently guiding users not only to the information they need but also in meeting their goals—whether they are patients, clinicians, scientists, or internal stakeholders
AI Integration
We integrate AI capabilities into existing software systems, enhancing functionality and efficiency
Custom Model Development
We help you choose from supervised, unsupervised, reinforcement and deep learning models for Speech, Vision and Language use-cases
Machine Learning
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Machine Learning
We harness the power of machine learning to develop intelligent systems that adapt and evolve, driving innovation and efficiency in your business operations
Predictive Analytics
We have experience predicting outcomes and patient compliance with prescribed treatment and leveraging those predictions with AI to improve the predicted metrics
Time Series
We build forecasting models for time series data, from predicting aggregate behavior and device usage and demand to modeling molecular dynamics
Computer Vision
We use modern models like vision transformers (ViT) to segment and classify medical images to accelerate clinical research and improve patient outcomes
NLP
We utilize Natural Language Processing (NLP) to organize intricate, unstructured data, ranging from condensing and comprehending medical practitioners' notes within medical records to extracting insights from patient feedback
Data Science
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Data Science
We understand, manage and process data to uncover actionable insights that empower informed decision-making and drive measurable business impact
Data Exploration
We conduct thorough exploration and analysis of data to uncover patterns, trends, and potential insights.
Statistical Analysis
We apply statistical methods to analyze data and draw meaningful conclusions, including hypothesis testing and A/B testing
Big Data Analytics
We handle and analyze large volumes of data using technologies like Hadoop and Spark
Data Visualization
We design and create visual representations of data to facilitate easier interpretation and decision-making
Infrastructure
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Infrastructure & Data
We implement advanced infrastructure solutions and architect robust data pipelines, maximizing agility and ensuring seamless deployment at scale
Model Lifecycle Management
We streamline and support end-to-end model lifecycle management, from development to deployment to retirement
Scalability and Efficiency
We enable the design of scalable architectures that can handle large datasets and large numbers of users while making financially efficient use of cloud resources
Data Pipelines
We build robust data pipelines to ingest and process large volumes of data securely and compliantly
Our Solutions
From defining an AWS-driven AI strategy to selecting the right models in AWS’s ecosystem, we accelerate your AI journey with measurable impact and full regulatory adherence.
AWS Generative AI Strategy Workshop
- Our intensive one-day workshop guides healthcare organizations through the complete AI adoption journey. We help you identify and prioritize high-impact AI use cases while developing robust business cases with quantified ROI analysis. Through collaborative sessions, we assess potential risks and create mitigation strategies tailored to healthcare requirements.
- By the end of the day, you'll have an actionable implementation roadmap to drive your AI initiatives forward.
- Find this workshop on AWS marketplace: Access the strategic workshop
Total Cost of Ownership (TCO) Analysis & Deployment Options
- Make informed decisions about your AI investments with our comprehensive TCO analysis service. We evaluate all deployment options, providing detailed cost breakdowns and ROI metrics specifically for healthcare scenarios. Our experts analyze various implementation approaches, considering both technical and regulatory requirements.
- You'll receive strategic deployment recommendations and a detailed implementation plan that ensures compliance while maximizing value from your AI investment.
- Purchase this service directly through the AWS marketplace: View TCO analysis service
Prompt Engineering & Model Selection Workshop
- Master the art of AI model selection and prompt engineering with our hands-on workshop. Learn to navigate AWS Bedrock's model ecosystem and craft effective prompts for healthcare applications. Work with real-world scenarios to develop practical skills in model optimization and integration.
- Our experts guide you through building robust AI solutions that enhance patient care and operational efficiency while maintaining compliance with healthcare regulations.
- Streamline your procurement - access our Prompt Engineering & Model Selection workshop instantly through the AWS Marketplace!
Key Workshop Principles
Start with a real business problem
Define a clear business problem and measure how effectively AI solutions can address it.
Consider what can be bought instead of built
Identify opportunities where pre-built solutions can save time and cost.
Know your customer experience journey
Ensure the customer experience is complementary to the overall healthcare process.
Surface engineering dimensions
Balance quality, performance, and risk when evaluating Generative AI solutions.
Models are disposable, requirements are not
Include key components such as data, security, monitoring, and regulatory compliance.
Evaluate a complete Generative AI pipeline
Include key components such as data, security, monitoring, and regulatory compliance.
Use real data, acknowledge its warts
Base POC trials on real-world data to expose and address potential issues.
Intelligently segment your data
Define data segmentation strategies to ensure the right features are prioritized for your use cases.
Our Impact
Contact us to explore how Reveal HealthTech
can support your Generative AI journey
