We are now making the Pathways system available for cloud customers, enhancing the developer experience with a single Python process managing thousands of devices.

We have developed a self-serve platform that allows developers to easily tune AI applications for speed and quality, facilitating rapid scaling and experimentation.

Windows AI Foundry will support the full development lifecycle across various hardware, enabling developers to build applications that run seamlessly on all devices.

The AI SDK is like the Next.js of AI; it allows developers to connect to various models without locking them into a specific one, providing a great experience for application developers.

Recent advancements allow for direct connections between AI models and databases, simplifying processes and eliminating the need for traditional connectors in enterprise software.

Technology executives need to create a uniform interface for AI systems that provides value and encourages developers to adopt centralized platforms.

The user experience for AI workflows is evolving from chat interfaces to more integrated systems that run in the background, with a focus on monitoring and performance guarantees.

The adaptation of compute platforms is essential for running capable models in low power environments, such as smartphones and autonomous vehicles, as well as in large-scale data centers.

Enterprises are centralizing AI model access to manage complexity and ensure responsible use, allowing them to support multiple models and versions effectively.