Organizations are adopting AI at a faster rate than ever before. What was once a myth about robots taking over the world is now a tool to automate time-consuming processes and gain better insights from large amounts of data. There is eagerness across the board to implement artificial intelligence into business practices.
However, it is important to know 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 specific needs. This interactive AI playbook that McKinsey & Company built will help you do just that.
They have broken this extensive playbook 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 you can apply AI techniques, as well as a range of economic value for those applications.
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 and building tech, data and people capabilities, as well as completing the last mile.
3. Beware: Know the warning signs of an AI program failure
The Beware section outlines the top 10 red flags to watch for once you make the decision to implement an AI program. Each red flag has a suggested response to help quickly resolve these issues and increase the chances of a successful AI initiative.
Are you ready to get started?
Contact rasa.io today about implementing AI to engage your members and generate new sources of revenue. If you are interested in other applicable AI frameworks, read our recent blog on the AI Canvas.