Organizations are adopting AI at a faster rate than ever before. What was once part of a myth about robots taking over the world is now more commonly seen as a tool to automate time-consuming processes to gain better insights from large amounts of data. There is eagerness across the board to implement artificial intelligence into business practices but it is important to know that there is no “one size fits all” solution. The first thing you’ll want to do is educate yourself and develop a plan that fits your needs. This interactive AI playbook built by McKinsey & Company will help you do just that.

The extensive playbook is broken down into three parts:

1. Value & Assess – Size the opportunity and determine data needs

The Value & Assess section shows the potential total annual value of AI and analytics across 19 industries. By clicking on your industry you can see the areas where AI techniques can be applied and a range of economic value for those applications.

ai playbook value and assess

Image source: www.mckinsey.com

2. Execute – Learn best practices to realize the value

The Execute section breaks down best practices for implementing AI across your organization. The high-level summary of these practices includes: aligning on the strategy – building tech, data & people capabilities – completing the last mile.  

AI playbook best practices

Image source: www.mckinsey.com

3. Beware – Know the warning signs of an AI program failure

The Beware section outlines 10 red flags to keep an eye out for once the decision is made to implement an AI program. Each red flag has a suggested response to help quickly resolve these issues and increase the chance of a successful AI initiative.

AI playbook beware

Image source: www.mckinsey.com

Are you ready to get started?

Contact rasa.io today about implementing AI t o engage your members and generate new sources of revenue.  And if you are interested in other applicable AI frameworks, read our recent blog on the AI Canvas.