What You Should Know:
- Amazon Web Services, Inc. (AWS) announced an investment of $100M to launch the AWS Generative AI Innovation Center, with healthcare and life sciences as a prioritized industry (alongside Financial Services, Energy & Utilities, Telco, and others).
- The AWS Generative AI Innovation Center will connect AWS AI and machine learning (ML) experts with customers around the globe to help them envision, design, and launch new generative AI products, services, and processes.
AWS Generative AI Innovation Center Overview
The AWS Generative AI Innovation Center will consist a team of strategists, data scientists, engineers, and solutions architects will work step-by-step with customers to build bespoke solutions that harness the power of generative AI. For example, healthcare and life sciences companies can pursue ways to accelerate drug research and discovery. Manufacturers can build solutions to reinvent industrial design and processes and financial services companies can develop ways to provide customers with more personalized information and advice.
Through no cost workshops, engagements, and training, AWS will help customers imagine and scope the use cases that will create the greatest value for their businesses, based on best practices and industry expertise. Customers will work closely with generative AI experts from AWS and the AWS Partner Network to select the right models, define paths to navigate technical or business challenges, develop proofs of concepts, and make plans for launching solutions at scale.
Guidance on Generative AI Best Practices
The Generative AI Innovation Center team will provide guidance on best practices for applying generative AI responsibly and optimizing machine learning operations to reduce costs. Engagements will deliver strategy, tools, and assistance that will help customers use AWS generative AI services, including Amazon CodeWhisperer, an AI-powered coding companion, and Amazon Bedrock, a fully managed service that makes foundational models (FMs) from AI21 Labs, Anthropic, and Stability AI, along with Amazon’s own family of FMs, Amazon Titan, accessible via an API.
Customers can also train and run their models using high-performance infrastructure, including AWS Inferentia-powered Amazon EC2 Inf1 Instances, AWS Trainium-powered Amazon EC2 Trn1 Instances, and Amazon EC2 P5 instances powered by NVIDIA H100 Tensor Core GPUs. Additionally, customers can build, train, and deploy their own models with Amazon SageMaker or use Amazon SageMaker Jumpstart to deploy some of today’s most popular FMs, including Cohere’s large language models, Technology Innovation Institute’s Falcon 40B, and Hugging Face’s BLOOM.
“Amazon has more than 25 years of AI experience, and more than 100,000 customers have used AWS AI and ML services to address some of their biggest opportunities and challenges. Now, customers around the globe are hungry for guidance about how to get started quickly and securely with generative AI,” said Matt Garman, senior vice president of Sales, Marketing, and Global Services at AWS. “The Generative AI Innovation Center is part of our goal to help every organization leverage AI by providing flexible and cost-effective generative AI services for the enterprise, alongside our team of generative AI experts to take advantage of all this new technology has to offer. Together with our global community of partners, we’re working with business leaders across every industry to help them maximize the impact of generative AI in their organizations, creating value for their customers, employees, and bottom line.”
