Built for Change: Interview with Alan Trefler

Pegasystems has experienced tremendous success in recent years. The stock is up more than 100 percent in the past year, and it is tempting to think of the company as a start-up, perhaps run by a 20-something entrepreneur in the Bay Area. In fact, the Cambridge, Massachusetts-based company was founded by 61 year old Alan Trefler in 1983. In many ways, Pegasystems has bucked the trend of a lot of software companies. Trefler did not accept venture capital early in the company’s tenure, and in so doing, he was able to dictate the pace of growth and mature the company in a way that has been sustainable. Likewise, though the company has been on the target of acquisition planning for several companies, Trefler considers having an “exit strategy” as anathema to growing a successful company for the long term. Forbes published an interview with Alan Trefler on Sep 18. Here are some interesting quotes: Continue reading

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The Google Brain Team’s Approach to Research

GoogleResearchOn Sep 13 Jeff Dean, one of the most famous Google researchers, shared this post: “About a year ago, the Google Brain team first shared our mission ‘Make machines intelligent. Improve people’s lives.’ In that time, we’ve shared updates on our work to infuse machine learning across Google products that hundreds of millions of users access everyday, including TranslateMaps, and more. Today, I’d like to share more about how we approach this mission both through advancement in the fundamental theory and understanding of machine learning, and through research in the service of product.

Posted in Artificial Intelligence, Machine Learning, Trends | Leave a comment

MWD Advisors Report “Decision Management Drives Disruption”

Derek Miers from MWD Advisors just published a new report devoted to DMN. He writes: “With decision modelling, you now have way of visualising the future – using models to express strategies, goals, processes, policies, rules and constraints – and then driving those visualisations all the way to execution. As we will see, this is already happening. However, there are significant challenges ahead… What’s fundamentally different about the DMN standard is that the standardisation and accessibility of the notation is enabling a new wave of innovation; a wave that has managed to overcome many of the limitations of previous attempts to move toward model-driven applications.

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DMN TCK Shows Momentum

DMNTCKBruce Silver posted his comments about DMN Technology Compatibility Kit (TCK), which provides an ever-enlarging suite of DMN models, including test input values and expected outputs.  In July the TCK website had 4 DMN tools listed, and now it has 6 including: Actico, Camunda, OpenRules, Oracle, Red Hat, Trisotech. Read more about the latest DMN TCK activities at this Keith Swenson’s post.

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Challenge Sep-2017 “Classify Department Employees”

Our Challenge Sep-2017 asks you to help a human resource office to create a decision model that for each department calculates minimal, maximal, and average salaries along with a number of high-paid employees using rules like “Salary > 85000”. Use any Business Rules and/or a DMN tool and submit your solution to DecisionManagementCommunity@gmail.com.

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Lying with Statistics

Lying with statistics has been a thing for a long time, but charts tend to spread far and wide these days. There’s a lot of them. Some don’t tell the truth. Maybe you glance at it and that’s it, but a simple message sticks and builds. Read “How to Spot Visualization Lies” to keep your eyes open.

Posted in Business Analytics, Misc, Trends | Leave a comment

Machine Learning Humor

The current machine learning hype makes some people believe that pouring data into a “big pile of linear algebra” will produce the answers you want. The more data you pour the better answers you get.

Contrary, to get useful answers you need to specify your decisioning problem and do serious analytical work to setup an ever learning environment. Read more here.

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