Tips for building the AI/ML strategy for an organization in a cost-effective way.
Updated: Nov 24
There have been rapid and exciting developments in the fields of Artificial Intelligence (AI) and Machine learning (ML) for the enterprise. But the results present an inevitable question for the CEOs “Where should investments be made to enhance intelligence in an enterprise.”
The following are the key points to consider when thinking of extracting the most business value from AI/ML enhancements in your organizations.
Hire full-time or fractional technical leadership with a record of accomplishment in delivering AI/ML initiatives.
Leverage AI/ML services from vendors like Azure and Google (build vs. buy approach).
Understand your business uses cases with the most significant impact, e.g., customer engagement, employee empowerment, workflow improvements, or operations optimization.
Make sure your team understands your organization’s current data sources.
Identify business cases for quick wins for the business. e.g., automating tedious back-office finance operations.
By starting on the Intelligent Enterprise journey, you can make it easier for your organization to become more customer focus, more flexible, and more responsive to the market demand so they can not only compete but excel in this new experience-driven intelligent economy.
The ideas mentioned above are meant as information to ease your organizational processes. However, if you would like a more detailed overview, do not hesitate to reach out to me at email@example.com.
I have years of experience building Technology and providing Technology Due Diligence as a CTO, and I am available for fruitful discussions.