Podcast notes: Making a business case for AI.
Every week, we summarize a podcast focused on an emerging AI topic. Today, we're spotlighting a conversation between AI in Business Podcast host Daniel Faggella and Scott Nowson, artificial intelligence lead at international accounting firm PwC for the Middle East.
Nowson has a Ph.D. in Natural Language Processing and has published over 20 papers and filed patents novel techniques in deep learning, and sentiment, and emotion recognition. In the following interview (edited for clarity), he talks about the three key phases - sign-off, pilot, and deployment - for making a winning business case for AI projects.
Faggella: Making the business case for AI means anything that will get the C-suite to say yes to a project. We need to be able to match the right AI application to the right business problem. We need to understand the state of our data and our company to know if we can actually leverage a certain application. And we need to make the ROI case and convey what the short and long- term value is of the particular project or initiative. How should enterprise leaders think about the hurdles of adopting AI?
Nowson: It can be a hurdle. That understanding of AI and where it sits on your journey, and it is a part of a journey, is critical. The world invests all the time in digital transformation. It's about aligning systems and labeling data. And then there comes AI transformation after you've gotten your data ducks in a row. Having a long-term AI strategy is key to making it a success. The key to that is having your data strategy in place. It's hard to avoid that - it's just going to be more successful. This should not be a limiting factor in getting started, however...