Channel technologies, Channel technologies, Channel partner events, Channel partner programs, Channel partners, CSPs, Content, Channel technologies, Channel technologies
AWS Summit NYC: The AI Opportunity for Public Cloud Partners

Artificial intelligence took center stage at the AWS Summit in New York last week as the public cloud giant unveiled and showcased the capabilities available to partners and customers in the cloud.“Why is generative AI technology just getting all the attention right now?” asked Swami Sivasubramanian, vice president of databases, analytics and machine learning at AWS, in his keynote address. “That is because this technology has reached its tipping point – the convergence of technological progress and what it can accomplish today.”ChatGPT has certainly sparked a flame of creativity among businesses and individuals who are finding innovative use cases for such technologies every day.The following forces have brought us to this moment, according to Sivasubramanian: the massive proliferation of data, the availability of extremely scalable compute infrastructure, and the machine learning technology advancements. The result is something called foundational models. A foundational model is a large machine learning model that is trained on a vast quantity of data at scale. These can then be fine-tuned to a user’s specific needs.A preview of agents for Amazon Bedrock. In April AWS announced Amazon Bedrock and Amazon Titan models. Amazon Bedrock is currently available in preview and is a managed service that makes foundation models (such as those available from Amazon and some top AI startups) available via an API. Agents for Amazon Bedrock enables developers to create fully managed agents in a few clicks, according to AWS. Sivasubramanian provided the example of creating a complex chatbot and the many calls such a tool needs to make to many different systems. These Agents simplify the process of creating such a chatbot. Fully managed agents provide support for monitoring, encryption, user permissions, and API invocation management without writing custom code. AWS Entity Resolution: match and link related records from multiple applications and data stores. This machine learning-powered service offers advanced matching techniques such as rule-based matching and machine learning models to help accurately link related sets of customer information, product codes or business data codes. Organizations can leverage this to create a unified view of customer interactions. AWS Healthscribe preview. This new HIPAA-eligible services is designed to help healthcare software vendors to build clinical applications that automatically generate preliminary clinical notes by analyzing patient-clinician conversations. A new technical deep dive course: Generative AI Foundations on AWS. This 8-hour course is a curated playlist of the top resources, concepts and guidance to get up to speed on foundation models, especially those that unlock generative AI capabilities in customer/partner data science and machine learning projects. AI, generative AI, and machine learning guides for customers/partners to plan their AI journeys. AWS has published two new guides – the AWS Cloud Adoption Framework for Artificial Intelligence, Machine Learning, and Generative AI and the Getting Started Resource Center machine learning decision guide.
You can skip this ad in 5 seconds