Silicon Valley research firm cites Decision Management Solutions as a visual and business-friendly extension to digital business platforms Palo Alto, CA – June 22, 2017 Leading Decision Management consulting and decision modeling software provider, Decision Management Solutions, today announced that the company has been named a 2017 Hot Vendor in Digital Business Platforms by Aragon […]
We have been helping several organizations improve their analytic and data science projects. Like many users of analytics, these organizations find that their analytic teams often lack a clear understanding of the business problem, resulting in projects that lose their way or produce analytic models that don’t get operationalized, deployed or used. We have helped […]
The biggest challenge facing organizations adopting analytics is closing the gap between business value and analytics results. This is becoming increasingly serious as more organizations make investments in data mining, predictive analytics, data science, machine learning and all forms of analytics. Ensuring that these investments in analytics and analytic technology show a return means understanding how […]
One of my LinkedIn contacts recently pointed to this great little article on HBR – How to Tell If Machine Learning Can Solve Your Business Problem – and it makes some points that show the potential for decision modeling to help you better apply machine learning and other analytic techniques. The author begins by pointing out that automation is […]
“Making predictions is hard, especially about the future” is a well known witticism. When it comes to making predictions about how companies will make predictions, it can be even harder to know what to say. Nevertheless, the folks over at KDnuggets recently asked some of the leading experts in Data Science and Predictive Analytics for some thoughts on developments in 2016 and trends for 2017. I was one of those that participated and you can see the article here – Data Science, Predictive Analytics Main Developments in 2016 and Key Trends for 2017. Several key themes emerged from the various expert responses:
Blue Yonder is based in Germany (Karlsruhe) and was founded in 2008 by an ex-CERN researcher, Prof. Michael Feindt and focusing on solving big data problems such as demand estimation. Several solutions targeted at retail were released over subsequent years. In 2013 they launched their Data Science Academy. The Blue Yonder platform for predictive applications […]
Predixion released 4.0 of Predixion Insight in October 2014 and I got a product update recently. First, some quick background on Predixion: They started back in 2009 based in California and Washington and recently added an office in Europe. 70 employees now with a core set of partners and investors. Their focus is on making […]
One of my big focus areas right now is using decision requirements models to frame predictive analytic projects. We are working with a few insurance companies as well as a couple of manufacturing companies to apply decision requirements modeling in their analytic requirements process and I am excited by the potential. I recently wrote an […]
A big focus area right now for organizations looking to adopt or expand operational predictive analytics is using decision requirements models to frame requirements for their predictive analytic projects. We are working with a few insurance companies as well as a couple of manufacturing companies to apply decision requirements modeling in their analytic requirements process and I […]
I last got an update from BigML back in 2013 when they updated us on their predictive analytics/machine learning platform. Since then they have been adding new algorithms, especially in unsupervised machine learning techniques, and generally updating the interface and workflow. With about 15,000 registered users Big ML is moving into enterprise customers more and […]