Tech stack modernization matters for enterprise AI, according to Amazon's Andy Jassy, and it is a transition that will require the right tools to be successful.
Inference will be a core building block for AWS going forward, and recent enhancements for Amazon Bedrock were designed to support this approach.
AI adoption is driving an increased reliance on hybrid computing.
At re:Invent, AWS unveiled significant updates to its managed service Amazon Bedrock, designed to provide access to high-performing foundation models via a unified API.
The rise of AI agents will lead to greater reliance on hybrid application development, and Large language models will need to draw from a wide range of data sources which will change the nature of how applications are constructed.
Earlier this month, Amazon released Amazon Nova, its own AI foundations model.
Enhancements for Q Developer will make machine learning more accessible for nontechnical users, according to an AWS executive.
The messaging from AWS at re:Invent centered around inferencing, the process in which an AI model uses a knowledge base to analyze information and make predictions.
Solving problems means opening new avenues for customers in a hybrid world, and SAP's ERP offering, which has moved to the cloud, is set to leverage the importance of AI solutions.
The hybrid landscape is also receiving particular attention as AI-driven cloud innovation drives a need for simplifying complex migrations and optimizing data management.