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Predict 2017: Adaptability and Intuition in Data Science

At Predict 2017 in Dublin, Ireland, Elder Research CEO Gerhard Pilcher discussed the gap between the promise of analytics to transform a company and the actual results, and how adaptability and intuition by leadership can help close that gap.

Predict 2017: Misleading Discoveries in Data

John Elder was a keynote speaker at Predict 2017 in Dublin, Ireland, October 2017. In this video Dr. Elder discusses the extent of misleading discoveries in data, especially in medical research, and how data science can help validate these discoveries.

What is Target Shuffling?

Target Shuffling is a process for testing the statistical accuracy of data mining results. It is particularly useful for identifying false positives, or when two events or variables occurring together are perceived to have a cause-and-effect relationship, as opposed to a coincidental one. The more variables you have, the easier it becomes to ‘oversearch’ and identify (false) patterns among them—called the ‘vast search effect’. Learn more

How Target Shuffling Can Tell if What Your Data Says is Real

John Elder presented "How Target Shuffling Can Tell if What your Data Says is Realat the Haas School of Business, University of California, Berkeley, as part of the Data Science & Strategy Lecture Series.

John Elder Interviewed for the BerkleyHaas Data Science & Strategy Lecture Series

In this interview with John Elder, host Professor Greg La Blanc discusses the crisis of reproducibility in academic and scientific research and how Target Shuffling can help confirm results. Held at the Haas School of Business, University of California, Berkeley, the Data Science & Strategy Lecture Series seeks to provide an understanding of the role of data and statistical analysis in managerial decision-making. The focus is on the role of managers as both consumers and producers of information, illustrating how finding and/or developing the right data and applying appropriate statistical methods can help solve problems in business. In this video series, Haas lecturer and lecture series host Greg La Blanc interviews industry executives and data science practitioners on key topics in data science, including data mining, machine learning, visualization, and more.

Predict: Bringing Analytic Fire to the Tribal Circle

John Elder was a keynote speaker at Predict 2016 in Dublin, Ireland, October 2016. In his talk "Bringing Analytic Fire to the Tribal Circle" Dr. Elder pointed out that finding the answer and proving it, doesn’t mean it will be used. He highlighted why data scientists must build trust as well as great models, so your work doesn’t end up on the shelf. 

Elder Research Validates RightShip's Qi Model for Predicting Maritime Vessel Risk

 

RightShip Qi brings the benefits of big data and predictive analytics to improve maritime safety and sustainability. Qi builds on the incumbent SVISTM expert opinion platform, but harnesses big data, predictive analytics and real-time risk assessments to better target substandard maritime performance. Vast quantities of ever-changing data are analysed by sophisticated algorithms to spot patterns and draw conclusions from data sets too large, diverse and dynamic for analysis with previous technology. Prior to launch RightShip contracted Elder Research to validate Qi's predictive performance.

Dr. Miriam Friedel Participated on the Next-Generation Analytics Social Influencer Roundtable at BigDataNYC 2016 Conference

Predict: Journey From Data to Predictive Analytics

John Elder will keynote and give a workshop at "Predict 2016", in Dublin, Ireland, Oct. 4-6, 2016. Dr. Elder also participated in the inagural conference in 2015 and was selected from among the 40 speakers to be interviewed when Siliconrepublic.com visited the opening day of Predict 2015.

Interview with Data Scientist Dave Saranchak About Statistical Data Modeling Techniques for National Security Clients

Join IBM data science evangelist James Kobielus and Dave Saranchak, a data scientist with Elder Research, to discover how Dave develops and applies statistical data modeling techniques for national security clients. Also, learn how Dave identifies technologies that can suit clients’ needs as he leads training for Elder Research’s Maryland office.

John Elder at Predict 2015 on The Power of Predictive Analytics

John Elder Interviewed at Predict 2015

John Elder Interviewed at SAS Analytics Conference

Predictions 2014: John Elder on SAP Coffee Break

John Elder appears on Coffee Break with Game-Changers presented by SAP and hosted by Bonnie D. Graham about predictions for 2014. ~11 minutes

For the full show and original source visit http://www.voiceamerica.com/episode/74952/game-changers-2014-predictions-part-2.

Big Data: John Elder Keynote on Business Innovation in America (May 2013)

Jeff Deal - Common Data Mining Business Mistakes (March 2012)

Jeff Deal discusses some of the more common data mining mistakes that organizations make, including failing to define an objective and waiting on perfect data.

Deal, Vice President of Operations at Elder Research, is interviewed by Anna Brown, Editor of the SAS Business Analytics Knowledge Exchange.

John Elder - Influence of "Big Data" on Analytics (March 2012)

John Elder discusses how "Big Data" is changing traditional and text analytics. John also talks about his new book "Practical Text Mining and Statistical Analysis."

Elder, of Elder Research, is interviewed by Anna Brown, Editor of the SAS Business Analytics Knowledge Exchange.

John Elder on Innovation with Analytics

John Elder on Text Analysis

At the M2010 conference, Dr. Elder was interviewed on mining and analyzing unstructured text to expedite government review of disability claims.

Predictive Analytics Training: Interview with John Elder

Dr. Elder sits for an interview with Predictive Analytics. See the interview

Top 10 Data Mining Mistakes

Dr. Elder gives his famous talk on the Top Ten Data Mining Mistakes. The Top Ten Mistakes are covered in chapter 20 of the Handbook of Statistical Analysis & Data Mining Applications. You can also view the whitepaper (PDF).

Don't Rely on Only One Technique

A continuation of Dr. Elder's talk on the top ten data mining mistakes and how to avoid them. The Top Ten Mistakes are covered in chapter 20 of the Handbook of Statistical Analysis & Data Mining Applications. You can also view this talk as a PDF.

Don't Extrapolate

The third part of Dr. Elder's talk on the top ten data mining mistakes and how to avoid them. The Top Ten Mistakes are covered in chapter 20 of the Handbook of Statistical Analysis & Data Mining Applications. You can also view this talk as a PDF.

The Path to Data Mining Success

The fourth and final part of Dr. Elder's talk on the top ten data mining mistakes and how to avoid them. The Top Ten Mistakes are covered in chapter 20 of the Handbook of Statistical Analysis & Data Mining Applications. You can also view the whitepaper (PDF).

John Elder Interview at M2009

Dr. Elder sits down with Stacey Hamilton to talk about his book, The Handbook of Statistical Analysis and Data Mining Applications at the M2009 conference.

John Elder on Ensemble Methods, Knowledge Discovery 2007

John Elder spoke about ensemble methods in machine learning as applied to data mining. You can see the talk here, or view a PDF of the slideshow.

John Elder on Successes and Failures, Knowledge Discovery 2007

John Elder gave a talk entitled "Successes, Failures, and Learning From Them" at Knowledge Discovery 2007. You can see the talk here, or view a PDF of the slideshow