How do you ensure data fidelity to build trust in AI automation?

Now is the time to navigate the digital experience challenge with data-driven AI insights and automation. Credit: istock/Deagreez IT teams are responsible for the performance of digital experiences, even when they don’t own the cloud and Internet networks they run on. With the Internet as the new corporate backbone, it’s easy to get overwhelmed by the vastness of this unowned environment and its importance for core business operations. With billions of data points from various sources, the task of determining and harnessing relevant insight goes beyond human scale. Let alone collating it in a manner that’s contextually relevant to the different teams that have a stake in, and influence over, how a digital experience is delivered and assured. This inability to see and manage external cloud and Internet networks like you own them has implications for the frontend. Users who experience inconsistent application or website performance may grow to avoid these digital services or withdraw from using them altogether. While the challenge for these teams is to gain control of an uncontrolled or semi-controlled space in order to achieve digital delivery excellence – it isn’t the impossible task it may seem. It’s a question of data Digital delivery excellence […]

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