From changing consumer habits to commanding continuous improvement
AI empowers products we interact with on a daily basis. Talking to Google Home or Siri, searching for restaurants online, self-driving vehicles or taking enhanced pictures with smartphones… These are only a few examples of how AI has changed the way we interact with technology every day.
At the same time, AI remains much different from traditional software or data platforms. While the logic in traditional software remains largely static, it’s exactly the opposite with AI, which requires continuous improvement to operate successfully over time. How does a business ensure their AI will keep up?
That’s where a partner like Servian comes in and helps design dedicated frameworks that facilitate this process. At Servian, we have leveraged the scientific method into our chatbot development process – integrating machine learning to our chatbot training process to efficiently improve the conversations over time by understanding how customers actually interact with the bot. We also created operating models to ensure analytical models placed into production are monitored, supported and re-trained to make sure the signals and insights being captured remain relevant and accurate.
How can an enterprise go from not using AI at all to leveraging continuously improving AI tools and processes? Without putting an enterprise lens on how AI fits into operational processes it may become difficult to transition proof-of-concept projects into ones that continue to drive business value. Implementing AI requires a behavioural shift to successfully adopt the technology and integrate it into the business. Check out our blog-post Enterprise AI: Simplify the Organisational Cha(lle)nge for more Enterprise AI insights.