Nuance MIX
Technology leaders are challenged by the business to deliver the conversational experiences their customers demand—and do it fast. They can’t be constrained by vendors’ timelines (and they don’t want to have to call a vendor every time they need to make a change). And only a handful of organizations can afford to build the vast machine learning infrastructure required to support conversational AI experiences.
Cloud, APIs, microservices, open source tech, and CI/CD methodologies have all ridden to the rescue to help organizations quickly deliver unique experiences powered by advanced AI tech. But when you’re taking a DIY approach to customer experiences—especially those powered by conversational AI—there a number of other factors to consider, such as skills gaps, omni-channel deployment, and the “black box” nature of many AI tools.
DIY offers a huge opportunity for technology leaders who craft the right strategy and invest in the right tools. To assist, we’ve created this guide to help you consider what’s right for your organization as you explore the DIY opportunity.