What Lean Six Sigma Can Learn From Neural Networks
Neural Net software has revolutionized our world, from face and voice recognition to systems that learn with each use. These systems have many applications in the LSS world, including vision systems for quality control and inventory systems that adapt to changing market conditions. But beyond such direct applications, Neural Nets have intriguing attributes that provide ideas for how to make our human organizations better at learning and continuously improving.
Neural Net software has gone through its own revolution in the past decade, with improved algorithms and deep-learning architectures. These changes have created an order-of-magnitude improvement in their performance, widening Neural Net opportunities in Lean Six Sigma and pointing to new ways to think about how our organizations can work better.
Join us to see how Neural Nets work, how they are being applied every day for process improvement, and what we can learn from neural net structure to better design corporations and other organizations.