Category Archives: Machine Learning

Is Your Insurance Business Missing a Critical Decision Window When it Comes to AI?

Posted on February 12, 2019 by decisionmanagementcommunity

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 →

Posted in Business Analytics, Business Processes, Decision Modeling, Insurance Industry, Machine Learning | Leave a comment

The ML Surprise

Posted on February 10, 2019 by decisionmanagementcommunity

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 →

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Data Decisioning

Posted on February 3, 2019 by decisionmanagementcommunity

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 →

Posted in Artificial Intelligence, Business Processes, Decision Models, Machine Learning | Leave a comment

Google: Your Deep-Learning-Tools-for-Enterprises Startup Will Fail

Posted on January 31, 2019 by decisionmanagementcommunity

Today Peter Norvig, the Research Director at Google, posted at LinkedIn: Whether you like it or not, selling enterprise tools for machine learning is really hard. Why? The industry is still fragmented, too many different components and moving parts without standardization, … Continue reading →

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Adversarial Machine Learning

Posted on January 31, 2019 by decisionmanagementcommunity

Machine learning techniques were originally designed for stationary and benign environments in which the training and test data are assumed to be generated from the same statistical distribution. However, when those models are implemented in the real world, the presence of … Continue reading →

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Decision Optimization fueling growth in Energy and Utilities

Posted on January 30, 2019 by decisionmanagementcommunity

Decision optimization and machine learning techniques are driving better resource planning and scheduling decisions at Energy & Utilities for a range of use cases like power generation planning, pricing optimization and more. Link

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Statistical Methods with Domain-based Models

Posted on January 20, 2019 by decisionmanagementcommunity

This WSJ article gives examples when ML-based solutions have been enhanced by the inclusion of pre-defined domain-specific models. “Machine learning is a statistical modeling technique, which finds and correlates patterns between inputs and outputs without necessarily capturing their cause-and-effect relationships. … Continue reading →

Posted in Business Analytics, Explanations, Machine Learning | Leave a comment

Can man ever build a mind?

Posted on January 12, 2019 by decisionmanagementcommunity

On Jan 10, 2019 Financial Times published an interesting article written by a UK neurosurgeon that lists AI problems: “The biggest is that brains are nothing like computers” “The human brain, it is suggested, will never be able to understand itself. You cannot cut … Continue reading →

Posted in Artificial Intelligence, Machine Learning | Leave a comment

Challenge Jan-2019 “Identify Unfriendly Robots”

Posted on January 3, 2019 by jacobfeldman

Our Jan-2019 Challenge asks you to help a cyber police to specify rules that identify if a robot is friendly or unfriendly. The rules can be expressed in terms of any features you can see in robots, such as the shape … Continue reading →

Posted in Business Rules, Challenges, Decision Modeling, Machine Learning | Leave a comment

Decisioning Challenges of Driverless Cars

Posted on December 10, 2018 by decisionmanagementcommunity

It is a lot harder to make an autonomous car than to sell the idea to AI-obsessed audiences. Christian Wolmar, the British author and broadcaster, said in this interview: “This is a fantasy that has not been thought through, and … Continue reading →

Posted in Artificial Intelligence, Decision Modeling, Human-Machine Interaction, Machine Learning, Trends | 1 Comment