A recent survey of quality professionals revealed that nearly half would rather see their competitors adopt deep learning technology rather than take the risk of adopting new tech themselves. At the same time, AI is expected to generate more than $13 trillion in global GDP growth by 2030. So, is it smart to wait?
This webinar will show OEMs and integrators how a shift from model-centric to data-centric design increases AI/deep learning quality inspection efficiency. Armed with tools that provide greater insight into the connection between input data and deep learning model efficiency, quality professionals can quickly determine if any machine vision application is a good AI candidate while easing the introduction of new products and inspection routines.
When the global community embraces this type of practice, it will drive AI adoption across industries and create value in a nearly endless number of ways. An upcoming webinar from Landing AI explains how.
What you will learn:
- What a data-centric AI approach is and how it compares to a model-centric practice.
- How data-centric AI will allow companies to get AI to work for them and create value.
- How data-centric AI techniques, including MLOps, work and how to implement them.
- How AI can transform the global economy.
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