AI + machine learning

Welcome to Microsoft Ignite. I’m incredibly inspired by this global community and how you’ve navigated your organizations through significant changes over the past few years.

This year at Microsoft Ignite, we explore how organizations can activate AI and automation directly in their business workflows and empower developers to use those same intelligent building blocks to deliver their own differentiated experiences.

Finding scalable solutions for today’s global challenges requires forward-thinking, transformative tools. As environmental, economic, and public health concerns mount, Microsoft Azure is addressing these challenges head on with high-performance computing (HPC), AI, and machine learning.

With Azure Cognitive Services for Speech, customers can build voice-enabled apps confidently and quickly with the Speech SDK. We make it easy for customers to transcribe speech to text (STT) with high accuracy, produce natural-sounding text-to-speech (TTS) voices, and translate spoken audio.

Gartner has recognized Microsoft as a Leader in the 2022 Gartner® Magic Quadrant™ for Cloud AI Developer Services, with Microsoft placed furthest in “Completeness of Vision”.

Large-scale transformer-based deep learning models trained on large amounts of data have shown great results in recent years in several cognitive tasks and are behind new products and features that augment human capabilities.

The growing adoption of data-driven and machine learning-based solutions is driving the need for businesses to handle growing workloads, exposing them to extra levels of complexities and vulnerabilities.

The capacity of a system to adjust to changes by adding or removing resources to meet demand is known as scalability. Here are some tests to check the scalability of your MLOps model.

Robustness is the ability of a closed-loop system to tolerate perturbations or anomalies while system parameters are varied over a wide range.

Azure Cognitive Services deliver high-quality, consent-driven face recognition that developers use to power verification of human identities on mobile, desktop, and internet of thing (IoT) devices, as well as facial detection and redaction capabilities for accessibility, modern productivity, and privacy.

Welcome to Azure Hybrid, Multicloud, and Edge Day—please join us for the digital event.

Testing is an important exercise in the life cycle of developing a machine learning system to assure high-quality operations.