The New Economics Of AI
Understanding the Costs of Corporate AI Implementation:
A Guide to Digital Transformation
From labor and cloud costs to data management expenses and marketing investments, comparing the economics of AI-infused projects to those of the past is an apples to oranges exercise.
The AI services and solutions team at Core BTS has drafted an in-depth guide on the new economics of AI. We’ve detailed the new and necessary investments. How to think about efficiencies and cost savings. And how to start thinking about anticipated revenue deltas.
It's a brave new world. Let's get you ready to tackle it head-on.
Artificial intelligence (AI) is the latest and greatest tool in the digital transformation toolbox. It has the power to completely revolutionize the way organizations work.
No one is doubting that AI is a big technology that will have big impact. But, the question on many business leaders’ minds is: What are the associated costs and investments necessary to integrate AI into my operations?
That’s why we created this in-depth guide, designed to help both business and technology leaders analyze both the direct and indirect costs of corporate AI implementation.
In this guide, we’ll tackle direct costs, opportunity costs, implementation costs, legacy system retirement costs, governance costs, security costs and internal resources costs.
As you consider your next move with AI, there’s no better place to start than by downloading, “Understanding the Costs of Corporate AI Implementation: A Guide to Digital Transformation,” today.
