CCG’s overall goal was to define a problem statement and what success would look like. Then the CCG and IT teams defined the experiments. It was a true collaboration, where CCG understood AI concepts, and the IT team understood CCG’s language, constraints, and requirements. By joining forces, we multiplied the value of each team’s expertise.
From ideation to a successful unit took about one year. Along the way, we discovered some significant challenges. One was making sure our experiments used data that represented real market data. Another major challenge was benchmarking and meeting strict approval requirements. When introducing AI into a product, you are obligated to meet the extremely strict existing quality. When working on an actual product (as opposed to an internal process like our previous work with test validation), it is imperative to ensure that you not only “do good” but that you also “do no harm” to the user experience (UX). Our experiments and models had to be designed to identify where the AI solution enhanced the UX and where it was a detriment—and to find solutions to the problem areas so that the overall UX is either much better or the same as without the enhancement.
Many use cases will build on the success of this one. We proved that we could successfully introduce machine learning into an Intel product, and we earned the status of trusted collaborator with CCG for future machine learning projects. We plan to develop ideas for future enhancement of this technology and other use cases for introducing AI into Intel’s product line. In addition, with the optimized development and collaboration processes, we can now ideate with greater velocity. With three follow-on solutions in process with CCG, as well as several projects with design groups, our momentum is strong. Although these ideas will not all mature to production, the velocity of incoming ideas is staggering, and the business units are beginning to see IT as a valued and trusted partner to deliver solutions within process and time limits.
An important way for Intel to stay competitive is to continue to improve product performance; but as silicon complexity increases, it becomes more difficult to make significant performance gains. Therefore, any good idea is critical for Intel’s success. Intel IT is excited to continue working with Intel’s business units and design teams to put these ideas to work—both for Intel’s customers and for our own Intel product consumption as we provision the data centers and employee devices.