Our next Jacksonville IT Council meeting will be

Tuesday February 26, 2019 | 7:30 AM - 9:30 AM

Free for Jacksonville IT Council Members & $10 for Guests

Let us know you're coming!  Click Here.

Let us know you're coming! Click Here.

Speaker: Kate Bakewell, Data Scientist at NLP Logix

Title: Why Your Tech Toolbox Should Include AI & Predictive Modeling


Talk Description: Artificial intelligence goes beyond predictive modeling being used to design and teach smart machines to perform tasks that typically require human intelligence or critical thinking skills. AI is the technology of the moment and the future, as tech leaders no one understands this better than you. Becoming the most talked-about digital transformation tools, AI has the power to take data and empower business leaders to make faster and smarter decisions. The potential applications of this decision-making power are endless. One of the most beneficial methods of AI for technology leaders to implement is predictive modeling. Predictive models, based on tabular, textual, or image data, can be utilized to improve their business processes in a multitude of ways.

In this talk, we will explore response modeling through the lens of accounts receivable management – predicting the likelihood that a debtor will pay a balance following a series of contact attempts. Through these models, NLP Logix’s AIC solution has been able to help collections agencies increase their total amount collected on average by 13.1% versus previous years, all while reducing their spend on scores from the credit bureau!


Speaker Bio: Katie Bakewell has been a Lead Statistician for NLP Logix for over five years.  For the past two years, Katie has taken the leadership position in developing behavior modeling in the debt collection industry.  To date, models and methodologies that she has deployed are being used in the student loan, healthcare, municipal and other debt recovery verticals with over $500 billion in debt scored.

Katie has also delivered advanced statistical and machine learning modeling products and services to customers ranging from large energy trading firms to program and service effectiveness analysis for the City of Jacksonville.  As the Lead Statistician for a major study commissioned by the University of Florida/Florida Poison Information Center Network, Katie evaluated co-managed care cases by a poison center specialist, efficacy of social media in tracking poison cases across Florida and a detailed inpatient length of stay analysis.  The results of the study were presented to the Florida Legislature as well as the annual meeting of the American Association of Poison Control Centers.

Katie was born in England and raised in Green Cove Springs, Florida.  She has a bachelor’s degree in Mathematics and Statistics and a master’s degree in Mathematical Science from University of North Florida.  Katie recently presented at the American Statistical Association’s Conference on Statistical Practice on her work in “Forecasting Model for Futures Prices Based on a Time Series Analysis.”



FSCJ Technology Center
401 W State St
Room 140                  
Jacksonville, FL 32202

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