The recent explosion in Generative AI has seen more businesses enlist these models in their services from a wide range of use cases. Swami Sivasubramanian, vice president of Data and AI at AWS, attributes the recent surge of interest in generative AI to the proliferation of data, access to scalable computing and advancement in machine learning.
Enterprises are leveraging genAI to offer personalized customer service and product recommendations, get business insights and summaries and general content creation.
However, developing and running these models may prove challenging due to the lack of infrastructure, data, long training and testing duration involved, talent and technical knowledge within the organization. Businesses seek tools that will enable them to quickly experiment and deploy their GenAI applications and the infrastructure to scale these applications globally.
To address these challenges, Amazon Web Services, Inc. (AWS), recently unveiled Amazon Bedrock among other generative AI services offering a wide variety of Foundational Models (FMs) so that enterprises won’t have to build their applications from scratch.
Swami Sivasubramanian adds, “With powerful, new innovations, AWS is bringing greater security, choice, and performance to customers, while also helping them to tightly align their data strategy across their organization, so they can make the most of the transformative potential of generative AI.”
Other services announced include Amazon CodeWhisperer – AWS’s AI-powered coding assistant, new Generative Business Intelligence (BI) authoring capabilities in Amazon QuickSight allowing business analysts to explore data and create visuals using natural language, Amazon Titan Embeddings and Meta’s Llama 2 models. Amazon says the addition of the models will offer users even greater choice and flexibility to find the right models for each use case
Leveraging generative AI using Amazon Bedrock
Now generally available, Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies, along with a broad set of capabilities to build generative AI applications, simplifying development while maintaining privacy and security.
AWS is collaborating with leading AI companies including AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon to allow users to easily experiment with a variety of FMs and customize privately with their proprietary data. Users will be able to tap into these models for their applications using an API.
Bedrock offers a no-code platform enabling users to easily customize the various generative AI available through a visual interface. This allows users to create managed “AI agents” that execute business tasks such as managing inventory and creating ad campaigns without writing code. Additionally, the platform includes chat, text, and image model playgrounds for users to experiment with these models using a conversational chat interface.
Since Amazon Bedrock is serverless, users don’t have to manage any infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with.
The advancement of generative AI has resulted in the rise of data privacy concerns. Recently there have been various lawsuits against AI companies such as Microsoft and OpenAI from various groups and users over copyright infringement. As the legal frameworks governing AI are still murky, providers are taking precautions to prevent legal blowback.
Amazon says no customer data is used to train the underlying models adding that there are safeguards in place to protect customer data. Customers can use AWS PrivateLink to establish a private, secure connection between Amazon Bedrock and their virtual private cloud (VPC) without exposing any traffic to the public internet.
Companies such as Adidas, BMW Group, GoDaddy, Merck, NatWest Group, Persistent, the PGA TOUR, Takenaka Corporation, and Traeger Grills are among customers applying generative AI innovations from AWS to transform their products and services. Notably, Hurone AI, a MedTech startup that recently expanded its operations to Kenya and Nigeria, is using Amazon Bedrock to integrate generative AI into oncology care. The startup is leveraging AI to support cancer treatment in Jaramogi Teaching and Referral Hospital.
Pricing
Amazon Bedrock has two pricing models: pay-as-you-go and provisioned throughput designed for large, consistent workloads that require guaranteed output. You can explore generative AI on AWS here.
