Artificial Intelligence

Enabling collaborative bot development across your organization for any user

martes, 3 de diciembre de 2019

Conversational artificial intelligence (AI) is enabling organizations to improve their business in areas like customer service and employee engagement by automating some of the most commonly requested services, which frees up employees to take on more value-adding activities. While the benefits of conversational AI are well established, determining who in an organization should build these solutions is not always clear.

Corporate Vice President, Conversational AI

A year of bringing AI to the edge

martes, 26 de noviembre de 2019

In an age where low-latency and data security can be the lifeblood of a business, containers make it possible for enterprises to meet these needs when harnessing artificial intelligence (AI). Since introducing Azure Cognitive Services in containers this time last year, businesses across industries have unlocked new productivity gains and insights.

Senior Product Marketing Manager

PyTorch on Azure with streamlined ML lifecycle

lunes, 18 de noviembre de 2019

It's exciting to see the PyTorch Community continue to grow and regularly release updated versions of PyTorch! Recent releases improve performance, ONNX export, TorchScript, C++ frontend, JIT, and distributed training. Several new experimental features, such as quantization, have also been introduced.

Program Manager, Azure Machine Learning

Azure Cognitive Services para crear soluciones escalables de IA listas para la empresa

miércoles, 6 de noviembre de 2019

Azure Cognitive Services pone la inteligencia artificial al alcance de todos los desarrolladores, sin requerir experiencia en el aprendizaje automático. Basta con una llamada API para incorporar la capacidad de ver, escuchar, hablar, comprender y acelerar la toma de decisiones en las aplicaciones.

Group Product Manager, Azure AI

Automated machine learning and MLOps with Azure Machine Learning

lunes, 28 de octubre de 2019

Azure Machine Learning is the center for all things machine learning on Azure, be it creating new models, deploying models, managing a model repository and/or automating the entire CI/CD pipeline for machine learning. We recently made some amazing announcements on Azure Machine Learning, and in this post, I’m taking a closer look at two of the most compelling capabilities that your business should consider while choosing the machine learning platform.

Technical Product Manager