Podcast: How to Make Your Enterprise AI Project More Predictable
- Posted by GM, Digital Solutions
- On July 23, 2021
Hear From the Datain Experts with EMERJ
An enterprise AI project can certainly have a mind of their own. Unlike common misconceptions, AI is not a magical solution.
But there are a few methods to the madness that can help you predict their outcomes, their success rate, and the impact it will have on your business.
This podcast gives you the unique point of view of AI services experts who are actually building the AI products and solutions for fintech companies.
In this podcast, you’ll hear from our team of experts in addition to Daniel Faggella, CEO of Emerj.
What You’ll Learn About Your Enterprise AI Project:
- Real-life use cases in open banking for financial services
- Tangible methods of preventing high-risk outcomes in the discovery portion of the AI project
- Lessons from experts that can provide the necessary ingredients to help predict the outcome and benefits of enterprise AI projects
You’ll also learn the true reality of the business and the technical goals that are required to sustain an enterprise AI project. Not to mention, the compliance and ethical grounds required to make your goal a reality.
Our experts expand upon how you can ensure your projects are unique. To do that, it is necessary to focus on the data! Instead of focusing on the project you imagining, you will need to focus on the project your data can create. For a successful enterprise AI project, you’ll want to prioritize your data quality over data quantity.