#AI@Work: ROI is Out and Rapid Change is In When implementing any technology, especially AI, be careful with the metrics for measuring success. ROI, the…
#AI@Work: Structures & Outcomes Developing an accurate picture of the current structure will also help in revamping it. How high is it? How deep? Whether…
#AI@Work: AI is About Continuous Improvement Agile organizations aren’t centralized or decentralized. It is about architectures that solve the problems now. These may change in…
#AI@Work: Agile Doesn't Mean No Planning Agile can be described by a collection of practices. Practices like JIT (Just in Time), TQM (Total Quality Management),…
#AI@Work: Best Fit or Best Tool? Budgeting and performance are areas to consider when organizations are looking at moving to Agile models. Annual reviews are…
#AI@Work: Rethink, Reengineer & Retrain Agile needs an organization that is flexible and able to move and change. It needs an organization that puts people…
#AI@Work: Is Agile Transition Possible? Currently, AI application is limited. It supplements or eliminates an activity. It replaces a task or provides a niche service.…
#AI@Work: From Predictable to Interpretive? In the past employers created a stable job role that had a written description. Jobs will shift from predictable to…
#AI@Work: The Matrix Crosses Borders Organizations will feel the impact on their internal and external processes. Anything that is routine, whether it is physical or…
#AI@Work: A New Twist on RPA & OCR RPA is relatively cheap to implement. It performs easily structured, information intensive tasks. What makes a task…
#AI@Work: HR Bots vs People Human Resources (HR) has traditionally focused on administrative tasks, not making the organization money. HR is usually considered to be…