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Monthly Archives: February 2019
Mike Gualtieri: How to Make AI Happen Without Getting Fired
Mike Gualtieri from Forrester Research offers 8 tips on how to make AI happen without getting fired. These tips are based on his discussions with enterprise data scientists and enterprise leaders who embarked on machine learning and AI projects in … Continue reading
Posted in Artificial Intelligence, Machine Learning, Trends
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Decision Management: What It Is and Why You Need It
Today Roy Schulte from Gartner ran the webinar “Decision Management: What It Is and Why You Need It” describing the state of the art in decision management and offering guidance on how to get started. Here are a few slides:
Spreadsheets in Decision Management
On March 14 Carole-Ann Berlioz from Sparkling Logic will run the webinar “Spreadsheets in Decision Management“: “In some cases, spreadsheets are translated into business rules, in others, they remain the format of choice for maintenance, while systems must learn how … Continue reading
Posted in Decision Modeling, Spreadsheets
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Challenge March-2019 “Organ Transplant Decisioning”
The development of techniques for organ transplant means that now one person’s death may lead to a lifesaving operation for another. This challenge considers one of the many crucial decision-making processes involved in this miracle of modern medicine. Possible solutions to … Continue reading
Posted in Case Studies, Challenges
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Why it’s still worth it to learn Java
Python and Go may get all of the hype, but Java is still potentially the smartest language for developers seeking a new job to learn right now. Despite being more than 20 years old, Java remains an enterprise mainstay: The programming language currently tops … Continue reading
Posted in Java, Languages
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Is Your Insurance Business Missing a Critical Decision Window When it Comes to AI?
Yesterday Craig Bedell from IBM’s Global Insurance Industry Leadership Team wrote: “I believe most insurance companies have hit a critical point in time with regards to their investments in analytics, innovation and even AI, where business leaders are measuring more … Continue reading
The ML Surprise
Peter Norvig points to the ML “surprise” described in Josh Cogan’s article “The Surprising Truth About What it Takes to Build a Machine Learning Product“: “Optimizing an ML algorithm takes much less relative effort, but collecting data, building infrastructure, and integration each take much more work. … Continue reading
Posted in Machine Learning
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Rolando Hernandez: Spaghetti Rules vs. Business Rules
“How do you explain Decision Management and Business Rules Management to a CEO, why it matters to them, and why they should hire you? In 60 seconds? Here is how I do it. First, I have 30 seconds to explain Business … Continue reading
Posted in Business Rules, Decision Modeling
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Finding Optimal Locations of New Store using Decision Optimization
Vincent Beraudier, IBM, in his notebook describes how to model and solve the following business problem: “A fictional Coffee Company plans to open N shops in the near future and needs to determine where they should be located knowing that … Continue reading
Data Decisioning
Data Decisioning was recently founded by Peter Schooff and John Morris, two veterans with decades of success in enterprise technology. Why? “What’s more important than data to today’s enterprise? The decisions a company makes based on that data will determine their success … Continue reading
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