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SEATTLE — Amazon Web Services, Inc. (AWS), an Amazon.com, announced the AWS Generative AI Innovation Center, a new program designed to help customers successfully build and deploy generative artificial intelligence (AI) solutions. AWS said it is investing $100 million in the program, which 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.
The effort builds on more than 25 years of deep investment in developing AI technologies for customers and is just one part of AWS’s overall generative AI strategy to bring this technology to customers and partners around the world, Amazon said, noting that companies of all kinds are excited about the potential of generative AI to transform their offerings and operations, and that the AWS Generative AI Innovation Center can help them make their ideas a reality faster and more effectively. To get started with the Generative AI Innovation Center, visit https://aws.amazon.com/
“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.”
The AWS Generative AI Innovation Center 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. 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. They 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 SageMakeror use Amazon SageMaker Jumpstartto 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.
Highspot is a sales-enablement platform that increases the productivity of sales teams. “Highspot is obsessive about helping our customers drive efficient growth by delivering capabilities that unlock new levels of sales productivity,” said Kurt Berglund, vice president of Science at Highspot. “The potential generative AI brings is huge and at Highspot we’re leveraging it to transform sales enablement and continue leveling up the value we give our customers. The AWS Generative AI Innovation Center is providing us with novel solutions and creative guidance for some of the most complex challenges and opportunities involved in bringing generative AI workloads to life at scale.”
For nearly 50 years, Lonely Planet has been committed to helping people experience the joy of travel. “We are always looking for ways to tap into new technology and meet the demands of today’s travelers,” said Chris Whyde, senior vice president of Engineering & Data Science at Lonely Planet. “The AWS Generative AI Innovation Center, paired with expert-driven advice and Lonely Planet’s award-winning content, will enable us to provide more personalized travel recommendations, making travel more accessible for those around the world.”
Twilio is a customer engagement platform that combines an extensive suite of digital communication channels with the best in first-party customer data, enabling businesses to deliver personalized engagement to customers on a global scale, when and how they prefer. “Our goal with Twilio CustomerAI is to empower businesses to leverage both generative and predictive intelligence capabilities that help them better understand and provide deeper value to their customers,” said Kathryn Murphy, senior vice president of Product Management at Twilio. “AWS and Twilio are longtime technology partners, and we’re proud to be jointly innovating on predictive AI, using Amazon SageMaker, and welcome future collaboration around generative AI. We look forward to seeing the impact of the Generative AI Innovation Center and its mission to nurture new ideas and capabilities in the AI space.”
