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About Chance Coble

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So far Chance Coble has created 17 blog entries.

Build and Monetize a Simple Software Product

By | 2019-05-25T11:39:51+00:00 May 25th, 2019|Data Practices, data science, KNIME, News, Products|

One of the simplest ways to get started with a software product for your customers is to automate the review of data.  That is especially valuable when you can identify events, anomalies or patterns and notify your customers.  This pattern of product is easily monetized because the value proposition is simple.  Use smart machines instead

Workshop: Approachable Data Science

By | 2019-04-25T15:59:19+00:00 April 25th, 2019|Uncategorized|

We are happy to announce our new course in Approachable Data Science offered for beginners who have no exposure to machine learning or data science techniques in their background.  There is no requirement to know a specific scripting or coding language or to have a computer science background.   With this course we are sharing our

Feeling Good about Game of Thrones, Finally

By | 2019-04-05T22:03:46+00:00 April 5th, 2019|Uncategorized|

Our community work is part of our DNA, and we challenge ourselves all the time to find time in our schedules to contribute to the community.  Whether it is becoming one of the biggest fundraisers for Austin Sunshine Camps  or through our community education work with the Association for Computing Machinery (ACM) we continue to

Accelerate Your Time to Market

By | 2019-04-05T15:05:23+00:00 April 4th, 2019|Uncategorized|

From Services Provider to Software Vendor Your service is successful.  You are fulfilling the needs of your customers.  Your reputation is healthy, and now you are looking to expand more.  The most basic expansion strategy is asking what else you can do for your existing customers to strengthen your relationship. Offering a software product is

3 Reasons Faster Achieves More in Analytics

By | 2018-04-04T11:40:51+00:00 April 4th, 2018|Data Practices|

Interested in a counter-intuitive statistic? In one survey successful business intelligence project leaders reported getting value from their implementations more than twice as fast as those that failed to meet their objectives.  A natural tension usually exists between speed and impact.  When one is prioritized in technology, too often the other suffers.  As indicated in

Illuminations NewsCard Q4 2017

By | 2017-12-11T19:28:14+00:00 December 11th, 2017|Uncategorized|

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

Observations from AWS re:Invent

By | 2017-12-04T17:02:37+00:00 December 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

Strategic Partnerships

By | 2017-11-14T11:43:48+00:00 November 14th, 2017|Uncategorized|

We are excited to have recently become Amazon Web Services (AWS) and Hortonworks consulting partners. In addition to our partnerships with KNIME and Yellowfin. Since the beginning of this company we have been striving to do more for our clients and faster.  New capabilities emerge for our clients with this combination of technologies, a combination

Observations from KNIME Summit 2017

By | 2017-11-03T17:20:57+00:00 November 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

Calculemus!  The Confusing Vocabulary of Artificial Intelligence

By | 2017-10-27T16:56:31+00:00 October 27th, 2017|Artificial Intelligence, data science, Machine Learning|

You are probably the type of executive that wants to fully understand the emerging opportunities in tech, but when it comes to artificial intelligence are left wondering if the field is just full of hype. There certainly has been plenty of hype lately and combined with all of those articles about the looming threat from advances in