Notas del producto en la nube y Azure

Microsoft Azure IIoT digitalization in the chemical industry

Read this white paper on digitalization in the chemical industry to discover the specific ways in which digitalization can be leveraged to improve market responsiveness, operational efficiency, health, safety, and sustainability of your company, industry, and world.  

Rethinking the Enterprise

Becoming an “AI First” organization is an ongoing journey. This paper introduces the vision, trajectory, and assessment tools to guide organizations as they seek to make progress on this path.

Tech Intensity Self-Assessment Results: Traditional

As organizations digitally transform and grow in their tech intensity, they tend to grow in both their technology adoption and their capabilities and processes. This evolution can be characterized along a technology maturity model. Learn more about organizations aligned to the first of four maturity levels: "Traditional".

The Problem with Legacy Ecosystems

Understand challenges and best practices to manage the shift to a digital strategy.

Tech Intensity Self-Assessment Results: Platform

As organizations digitally transform and grow in their tech intensity, they tend to grow in both their technology adoption and their capabilities and processes. This evolution can be characterized along a technology maturity model.  Learn more about organizations aligned to the fourth of four maturity levels: "Platform".

Tech Intensity Self-Assessment Results: Bridge

As organizations digitally transform and grow in their tech intensity, they tend to grow in both their technology adoption and their capabilities and processes. This evolution can be characterized along a technology maturity model.  Learn more about organizations aligned to the second of four maturity levels: "Bridge".

Collaborative Intelligence: Humans and AI are Joining Forces

Learn how humans and machines can enhance each other’s strengths.

How to Win with Machine Learning

See how companies are improving their products and services with ML.

Enabling Data Residency and Data Protection in Microsoft Azure Regions

This paper covers the information Azure customers need to help them understand how to better control data residency, and meet their data protection obligations within Azure datacenter regions. Specifically, it is structured to address the following:

▪ Understanding the Azure regional infrastructure, including high availability, disaster recovery, and latency and service availability considerations

▪ Data residency assurances, and how customers can control data residency

▪ Details about how customers can access diagnostic, service-generated, and support data, and how customers can manage their access to their own data

▪ How Microsoft protects customer data from unauthorized access, and how Microsoft handles and challenges government requests and other third-party orders

▪ Tools customers can use to restrict, protect, and encrypt data at rest, in transit, and in some cases, in use 

▪ The strict policies and practices that Microsoft follows for the retention and deletion of customer data

▪ How Microsoft compliance with privacy regulations and standards helps protect the privacy of customer data

Competing in the Age of AI

See how successful companies are using AI to transform strategy and operations.