الصفحة 1
الصفحة 1
Federated AI for Real-World Business Scenarios
Real-world AI applications frequently have training data distributed in many different locations, with data at different sites having different properties and different formats. In many cases, data movement is not permitted due to security concerns, bandwidth, cost or regulatory restriction. Under these conditions, techniques of federated learning can enable creation of practical applications. Creating practical applications requires implementation of the cycle of learning from data, inferring from data, and acting based on the inference.
Change from the Inside Out : Making you, your team, and your organization change-capable
Change initiatives fail because humans are hardwired to return to what's worked for them in the past. This book offers a straightforward process for building support for change from the ground up
