Louis DiModugno

Global Chief Data Officer, Verisk · 1 appearance on the record.

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executive

Louis DiModugno is a veteran data and technology executive who oversees enterprise data management, governance, and AI-driven analytics across the insurance and risk assessment sectors. Before joining Verisk, he was the Chief Data and Technology Officer at Hartford Steam Boiler and the Chief Data and Analytics Officer at AXA US.

8statements → 1claims → 0claims resolved → 3.75/5average certainty → 1.75/5average debate potential → ≈4.0/5argument clarity, estimated →

1 not checkable as stated how the 1 claim stands · each chip opens the sources

1 assertion · 1 opinion · 6 disclosures · every statement was checked. The predictions and assertion are the 1 claim: statements the public record can support or contradict. 0 are resolved, and 1 names no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how Louis argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

How they sound: speaking style how? →

219 words/min while actually speaking · 57.3 um and uh per 1k words

No argument clarity score for Louis DiModugno: only 6 usable question→answer exchanges on raw tape (a fair score needs 8+). We do not score a sample that small. Roundtable and news formats yield far fewer direct exchanges than interviews. Their coarse estimate from 6 raw tape exchanges is ≈4.0/5, shown at half point precision because the sample is small.

Measured by listening to the audio itself: 3,527 words across 1 episode of raw-level tape, transcribed verbatim with every um and uh kept, each one attributed only where the alignment onto our timed stream is unambiguous. These are measurements of speaking style. We do not rank them: across this corpus, fluency and argument quality are nearly uncorrelated (ρ≈0.2), and smooth talking does not signal clear thinking. How it's measured →

Everything Louis DiModugno said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Disclosure
AXA augments point-of-sale customer data with external sources for predictive underwriting
“Our actuary, ah, efforts and our predictive underwriting efforts have really started to take advantage of the information that we're collecting at the point of sale, augmenting it with additional information that's accessible maybe through prescription databas…”
Louis DiModugno May 23, 2016 ▶ 5:30 Big Data in Insurance // Louis DiModugno, Chief Data Officer at AXA US [FirstMark's Data Driven]
Assertion Not checkable as stated
AXA spends 90% of data project time on preparation, 10% on modeling
“One of the biggest challenges that we've had in this two years of existence is that of the biggest projects that we've been working on, it's been, you know, 90% data access and preparation, 10% model building.”
Louis DiModugno May 23, 2016 ▶ 16:32 Big Data in Insurance // Louis DiModugno, Chief Data Officer at AXA US [FirstMark's Data Driven]
Disclosure
AXA leverages telematics in Europe for auto insurance pricing adjustments
“Ah, we also have a big, ah, initiative in Europe as well with telematics right now. So in the property and casualty space, specifically in auto, we get a much better, ah, capability to get better pricing based on how How people are using their automobiles and …”
Louis DiModugno May 23, 2016 ▶ 4:31 Big Data in Insurance // Louis DiModugno, Chief Data Officer at AXA US [FirstMark's Data Driven]
Opinion
DiModugno: Diabetes patients are a heavily underserved community in the insurance industry
“In the insurance space, it's a very underserved community.”
Louis DiModugno May 23, 2016 ▶ 22:56 Big Data in Insurance // Louis DiModugno, Chief Data Officer at AXA US [FirstMark's Data Driven]
Disclosure
AXA aims to deploy algorithmic risk scoring across its entire book by 2017
“Our intent is that within the next, ah, year to 18 months, this scoring mechanism will be essentially across our entire book of business.”
Louis DiModugno May 23, 2016 ▶ 25:27 Big Data in Insurance // Louis DiModugno, Chief Data Officer at AXA US [FirstMark's Data Driven]
Disclosure
AXA converts younger actuaries into internal data science roles
“What we found is that, quite frankly, we had some data scientists essentially within our midst, and so the actuaries that we had within our organizations, especially some of the younger ones, it was a very nice conversion for them to be able to pick up R codin…”
Louis DiModugno May 23, 2016 ▶ 2:59 Big Data in Insurance // Louis DiModugno, Chief Data Officer at AXA US [FirstMark's Data Driven]
Disclosure
AXA US builds its analytics infrastructure on a Cloudera Hadoop stack
“So the one that we've got here in the U.S., it's primarily a Cloudera Hadoop stack that we've used a blueprint that was essentially blessed by our brethren over in French, in France and with that, we've got R and Python and Spark. We use some Dataiku along the…”
Louis DiModugno May 23, 2016 ▶ 10:44 Big Data in Insurance // Louis DiModugno, Chief Data Officer at AXA US [FirstMark's Data Driven]
Disclosure
AXA's opt-in customer data sharing initiatives remain on the drawing board
“We're looking at opportunities for customers to opt in, and provide us that data, so that we could then go ahead and provide them some benefit as well. But we have not progressed to that fact. It's still on the drawing board.”
Louis DiModugno May 23, 2016 ▶ 23:23 Big Data in Insurance // Louis DiModugno, Chief Data Officer at AXA US [FirstMark's Data Driven]

Appearances (1)

EpisodeDateSpeaking time
Big Data in Insurance // Louis DiModugno, Chief Data Officer at AXA US [FirstMark's Data D May 23, 2016 17m
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