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The webinar covered three pivotal aspects: Seamless Migration, Future-Ready Strategies, and the PWA Revolution. Seamless Migration: Composable Storefronts and Accelerators The webinar initiated with a comprehensive exploration of seamless migration strategies. You can catch the entire webinar right here !
To learn about use cases and the potential of GAI technology, watch our webinar: Welcoming the AI Summer: How Generative AI is Transforming Experiences. In today’s dynamic landscape, leveraging cutting-edge GAI technology holds the promise to revolutionize procurement processes and enable organizations to stay ahead of the competition.
With Robotic Process Automation (RPA), ROI is often measured in cost reduction , timesavings, and increased productivity. Yet, one of the most valuable success metrics in implementing RPA—or any enterprise software—is the time to value.
That was the topic of our recent webinar, “How to Test the Commercial Viability of an Idea,” where our product experts shared insights on the advantages of testing, how to do it effectively, and the essential tools to make it happen. And the turnaround time from testing to prototype can be insanely fast.
Measure the timesaved by employing AI within workflows and compare it against initial expectations. Assess the quality of the tool’s outputs—identify areas where manual intervention or improvements might be necessary. Later, focus on continuous improvement.
Measure the timesaved by employing AI within workflows and compare it against initial expectations. Assess the quality of the tool’s outputs—identify areas where manual intervention or improvements might be necessary. Later, focus on continuous improvement.
Measure the timesaved by employing AI within workflows and compare it against initial expectations. Assess the quality of the tool’s outputs—identify areas where manual intervention or improvements might be necessary. Later, focus on continuous improvement.
Measure the timesaved by employing AI within workflows and compare it against initial expectations. Assess the quality of the tool’s outputs—identify areas where manual intervention or improvements might be necessary. Later, focus on continuous improvement.
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