Unstructured Unlocked by Indico Data

In this episode of Unstructured Unlocked, Tom Wilde and Parul Kaul-Green are joined by Andrew Holdway, Head of Partnerships at Swiss Re Risk Data Solutions, to explore why insurers still struggle to use data consistently across underwriting and portfolio management. Despite having more first-, second-, and third-party data than ever, legacy systems, siloed workflows, and inconsistent ingestion practices often limit its impact.

Andrew explains what changes when carriers bring risk data and enrichment upstream at the point of submission. The conversation covers how early triage improves speed-to-quote, pricing precision, and portfolio confidence, and where AI adds real value versus buzzword risk.

In this replay episode of Unstructured Unlocked, we revisit a practical, operations-first conversation with Tami Pantzke, a reinsurance executive with more than 30 years of experience guiding technology change inside large insurance organizations.
Tami breaks down how insurers should evaluate new technology through the lens that matters most, real operational impact. From cost-benefit analysis and the 80/20 rule to pilot design, risk controls, and change management, she shares hard-earned lessons on what separates successful implementations from costly failures. The discussion also explores why enthusiasm for new tools often outpaces adoption, how to spot red flags early, and how insurers can balance speed with governance in both large-scale transformations and smaller, AI-driven initiatives.
If you’re responsible for introducing new technology into underwriting, claims, or operations, and need it to actually stick, this replay offers a clear, experience-backed blueprint for making smarter decisions without disrupting the business.

In this episode of Unstructured Unlocked, we revisit a conversation that’s becoming even more relevant as insurance operations teams face rising volume, tighter timelines, and growing pressure to keep work moving.

Tom Wilde sat down with Laura Drabik to talk through how AI is being applied in practical, operational ways across commercial insurance. They unpack the reality behind the hype: rising submission volume, inconsistent attachments, and the challenge of turning unstructured data into inputs underwriters can actually trust.

The conversation explores how structuring inbound work improves submission triage, pricing consistency, and throughput and where generative and agentic AI can support underwriting workflows without replacing human judgment. The result is clearer inputs, faster flow, and more confident decisions downstream.

This high-performing replay from Unstructured Unlocked features Joe Curry, Head of Data Science at Apollo 1971, and remains highly relevant for insurance teams navigating AI today.

In this conversation, Michelle Gouveia and Chris Wells sat down with Joe to unpack how data science is actually being applied inside insurance operations today. They explore where AI delivers real value, where it creates risk, and how regulatory expectations shape what insurers can put into production. The episode also explores emerging challenges like ensuring advanced mobility and why explainable, auditable data science matters more than ever.

On the latest episode of Unstructured Unlocked, we examine why soft markets expose inefficiency across insurance, and why consolidation and AI need to deliver real results. The conversation breaks down what motivates today’s deals, and why promised cost and revenue synergies are so hard to realize. We explore where technology actually moves the needle post-acquisition, with underwriting and claims emerging as the two most critical levers for protecting margins. The discussion also tackles the industry’s biggest AI challenges head-on: data quality versus data standards, why most pilots never scale, and how treating AI as an IT experiment leads straight to “pilot purgatory.” The takeaway is clear: in a soft market, efficiency can’t wait, and experimentation without execution is no longer an option.