AI business school for manufacturing

AI has the capacity to empower the whole world to achieve more. From empowering technical development teams to mobilizing an entire organization to unlock the true potential of AI, enterprises need to think strategically about AI – and they need to start today.

In manufacturing, decision-makers must take into account specific industry considerations before they can realize the true transformational power of AI in the enterprise. To create real business value, a comprehensive understanding of all the strategic components is required.

A successful AI strategy must consider cultural issues as well as business issues. Becoming an AI-ready organization requires a fundamental transformation in how you do things, how employees relate to each other, what skills they have, and what processes and principles guide your behaviors. This unit is designed to help you understand which are the key elements that make a culture AI-ready and proposes a framework to drive that change in your organization.

This module is designed for finance and affiliated business decision-makers to illustrate the impact of making strategic decisions with AI. The goal is to enable you to think about AI transformation holistically, with a focus on the cultural changes necessary to make AI transformation successful.

A successful AI strategy in marketing must consider cultural issues as well as business issues. The goal of this module is to enable you to think about AI transformation holistically, with a focus on the cultural changes necessary to make AI transformation successful.

A successful AI strategy in sales must consider cultural issues, as well as business issues. The goal of this module is to enable you to think about AI transformation holistically, with a focus on the cultural changes necessary to make AI transformation successful.

A successful AI strategy in customer service must consider cultural issues, as well as business issues. The goal of this module is to enable you to think about AI transformation holistically, with a focus on the cultural changes necessary to make AI transformation successful.

At Microsoft, we’ve recognized six principles that we believe should guide AI development and use — fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability. For us, these principles are the cornerstone of a responsible and trustworthy approach to AI, especially as intelligent technology becomes more prevalent in the products and services we use every day. We recognize that every individual, company, and region will have their own beliefs and standards that should be reflected in their AI journey. We want to share our perspective as you consider developing your own guiding principles.

As AI becomes more prevalent, it’s imperative that organizations have governing practices in place to ensure that it’s used responsibly. Responsible use of AI starts with organizations establishing their own guiding principles, then choosing and operationalizing a system of governance. We recognize that every organization will have their own perspective on responsible AI, but we’re hopeful that our perspective will serve as a helpful starting point as others embark on their own AI journey.

At Microsoft, we have established our own governing practices for responsible AI. While every organization will have its own approach and we don’t have all the answers, we’d like to share what we’ve learned so far.

This module provides a high-level overview of the primary concepts of AI and the technologies behind it. We then dive into how Microsoft is turning the latest advancements in AI into tools, products, and services that can be used by organizations.

This module is a starting point for business decision makers who want to understand how Microsoft is creating products, services, and solutions to help organizations leverage Artificial Intelligence (AI). We’ll also help you understand how these technologies relate to business problems.