The Baby Makers de James Taylor

The Baby Makers

James Taylor

Follow the journey of Michael and Connie Reid. Who together try to create their own blended family. Their quest for a baby begins in love with a bright future together. Going by the medical evidence IVF is the only choice, or is it? The Reid's begin their monthly roller coaster ride. Finding the right answers leads everyone to question their faith in medical science. Then a shock pregnancy leads this couple to start demanding answers from the Infertility Treatment Authority. The case becomes a national and political news issue. As they fight against the giants of the IVF profession. Searching for the truth, but at what personal cost? Risking financial ruin, Michael questions the specialist's arrangements and medical testing standards. This quest for the truth leads to legal precedents fought at every step, by The Baby Makers.

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Notă biografică

James Taylor first came up with the phrase "Decision Management" in 2002. He has been focusing on the approach and the supporting technology stack for nearly 25 years and he is almost certainly the best-known proponent of the approach. While working at FICO he wrote a book on the topic with Neil Raden. Since then he has written Decision Management Systems: A Practical Guide to Using Business Rules and Predictive Analytics (IBM Press, 2012) and Digital Decisioning: Using Decision Management to Deliver Business Impact from Artificial Intelligence (JTonEDM Press, 2019), dozens of articles and white papers and several book chapters expanding and developing the core concepts. One of the original submitters of the Decision Model and Notation standard, he has been using decision modeling on client projects since 2011. He has designed and written effective development methodologies and developed several modeling tools, including one based on DMN - DecisionsFirst Modeler. As the founder of Decision Management Solutions, he works with clients to help them implement Decision Management and Decision Modeling so they can create more agile systems, operationalize their machine learning investments and successfully adopt AI.