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AI Orchestration Methodologies
book

AI Orchestration Methodologies

by Pam Baker
October 2020
Intermediate to advanced
31 pages
42m
English
O'Reilly Media, Inc.
Content preview from AI Orchestration Methodologies

Chapter 2. Prepping for AI Orchestration

Like everything in business, it’s essential to be specific about business goals and make a strategic plan to ensure they are met.

But first, you’ll need a good understanding of what and where AI is already in use in your organization, how and why staff wants or is using it, what AI-related skills your human talent pool possesses, and whether there is resistance to using AI among the staff or leadership. Those revelations will go far in directing your path forward.

Defining Business Goals, Defining AI Tasks, and Making a Plan

Make sure you and your team understand what you are undertaking and agree on exactly what advantages your company seeks to leverage with AI orchestration. While data and technology selections should be dictated by each business problem you’ve identified and the outcome you seek, it’s also important to have a current inventory of the AI applications you have in the portfolio. This will also make it easier to identify where gaps exist that may need to be addressed within your AI orchestration effort.

In its 2020 survey, Deloitte found that the top business functions for AI applications are

IT, cybersecurity, production and manufacturing, and engineering and product development. Marketing, human resources, legal, and procurement ranked at the bottom of the list. Across all functional areas, roughly two-thirds of implementations are used for automation or optimization versus enhancing the capabilities of individuals. ...

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Publisher Resources

ISBN: 9781492091806