Data Practices

Observations from AWS re:Invent

By |2017-12-04T17:02:37+00:00December 4th, 2017|Architecture, Artificial Intelligence, Data Practices, Embedded BI, Machine Learning, News|

Amazon certainly knows how to go big at a conference.  With nearly 50,000 attendees AWS re:Invent was spread across Las Vegas hotels and included fully booked sessions from end to end.    Over 1000 sessions were held and venues spanned the MGM, Aria, Venetian, LINQ and Mirage elevating conference logistics and unfortunately wait times to

Observations from KNIME Summit 2017

By |2017-11-03T17:20:57+00:00November 3rd, 2017|Artificial Intelligence, Data Practices, data science, KNIME, Machine Learning, News|

Any analytics project today requires data integration, cleansing, manipulation and often they require machine learning.  In order to solve these problems a hodge podge of tooling is typically required.  That usually leads to glueing technologies together that were never meant to really work with each other in the same place.   The problem is exacerbated

Avoid Making Your Data Ten Times More Expensive

By |2017-10-16T11:36:30+00:00October 16th, 2017|Data Practices|

When 83% of companies believe their revenue is affected because of data quality problems, we need to take a look at what is going wrong. Few endeavors have received the media attention, promise, and even hype as the revolution organizations today are undergoing to become data-driven. But the value from that investment and work evaporates when the data