Summary: Like it or not, AI will soon infiltrate every aspect of our society from our refrigerators to autonomous cars and everything in between.
Original author and publication date: insideBIGDATA – December 4, 2019
Futurizonte Editor’s Note: If AI becomes unavoidable, how can we get rid of if, in case we have to do it?
From the article:
Combined with data and data science, AI offers new, smart ways to solve existing problems and create fresh and exciting opportunities. But how do you determine the importance of an AI initiative for your organization and how do you ensure you derive the maximum benefit from implementing such projects?
By identifying business needs and viewing AI and data science as a means to fulfilling those needs, IT professionals and data scientists can communicate the value and transformational affect AI can bring to the organization.
To begin, think of AI as an experiment rather than a pilot project. Unlike other technologies, every application of AI requires different tools and algorithms. Experimenting with different AI applications is typically done repeatedly as you explore the many options. Experimenting enables you to understand whether you can solve a problem more effectively, with better, more predictable outcomes, and transform a business process or function using AI.
An experiment may not proceed for any number of reasons, but that’s not an indication of failure. Learning what works and what doesn’t by experimenting can accelerate your AI journey. For example, one pharmaceutical company experimented with natural language processing and voice analytics in its patient services call center. Automating a process to alert managers to patient frustration enabled the managers to take the appropriate intervening steps to keep patients on critical drug regimens. While the experiment was a success, the technology required a huge transformation of the patient services manager workforce, including up-skilling or replacing some of the staff. This created a significant barrier and prevented the company from taking the pilot project into production.