Data Scientist Kirk Borne Discusses Business Impact of AI and ML

Adding artificial intelligence, machine learning, and other cognitive interactions to traditional business processes and applications enables greatly improved user experience and productivity. These technologies are already impacting all levels of business including finance, marketing, human resources, and sales.
Proponents point to incremental changes in the way we work with AI and ML. From the auto-complete or autocorrect on your phone, to chatbots, and virtual assistants like Siri and Alexa. But larger implementations are also taking hold. The New York Metropolitan Transit Authority (MTA) is using machine learning to understand rider patterns and will be changing color coding of their maps to help commuters and tourists get to their destinations faster.
However, these visible AI and ML projects are more the exception than the norm. Industry experts point to massive interest and investments over the next few years:
To help put these trends in perspective, we invited Kirk Borne to the Oracle Analytics Advantage podcast to discuss the value of AI and Machine Learning for business decision-making. Borne is often touted as a worldwide influencer on data science and one of the leading thinkers on the topic of large scientific databases and information systems.
Borne currently consults clients for Booz Allen Hamilton. He’s a researcher, blogger, data literacy advocate, TEDx speaker, and author of several books. He’s even a project scientist for NASA as part of its Space Telescope Science Institute.
During his interview, Borne explained that the successful evolution of AI and ML in business should be linked to solving the questions at hand
“I like to remind people that machine learning is an algorithm that learns from experience—it detects and recognizes patterns in data,” Borne says. “So, if you are classifying a disease or if you are classifying a customer, or information in your weblog, once you see that pattern, you can take the appropriate action.


