Jane Turnbull

Jane Turnbull is an accomplished analytics professional with more than 20 years of experience. She has worked in team and project management and in technical, customer-facing and leadership positions. Her work has been in consulting, predictive modeling, analysis, sales support and product development.

Most Recent

Data Science: Methods Matter (Part 3)

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It would be wonderful if we could simply plug the data into the right model and let it run. Unfortunately, there is no one right model.

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Data Science: Methods Matter (Part 2)

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Two steps are extremely critical for project success, and they illustrate why data analytics is more complex than many insurers realize.

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Data Science: Methods Matter (Part 1)

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There is nothing worse than moving your business full-speed ahead in the wrong direction based on faulty analysis.

Six Things

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Beware the Algorithm!

By Paul Carroll

Lawyers and consumer advocates are demonizing algorithms any time a decision goes against a policy holder. Let's talk about them less.

How to Navigate Social Inflation

Facing increasingly complex claims, insurers must modernize, shift their cultures to prioritize efficiency and empathy, and seek legal reforms. 

1

Managing Loss Control With Location Intelligence

By combining historical aerial imagery, property condition data, and AI, insurers can optimize underwriting, inspections, and fraud reduction.

2

A Practical Approach to AI in Insurance

Insurers can use AI to solve specific problems without causing major disruptions.

3

AI in Insurance: Balancing Innovation and Caution

AI's potential to transform insurance clashes with the industry's risk-averse nature, creating a complex landscape for insurers to navigate.

4

Why Obesity Rates Won't Stop Rising

The government must partner with organizations and insurers to increase the availability of obesity medications.

5

How Business Rules Engines Can Slash Time to Market

The systems streamline the management of business rules, letting insurers adapt swiftly and efficiently without the need for intervention by IT. 

6

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