DataArt

A successful AI pilot proves that an idea can work under controlled conditions. It does not prove that it can operate at scale. The move into production usually exposes three challenges: 🔸 Real data: The pilot may use curated data. Production version needs to handle the inconsistencies found in actual systems. 🔸 Operational ownership: Someone needs to monitor, maintain, retrain, and respond when the model behaves unexpectedly. 🔸 Integration: The output must flow into underwriting, claims, or another operational process. Moving from pilot to production is a data, architecture, governance, and operating-model challenge as much as it is a model-development one. 📎 Which barriers to scaling AI have you experienced? #InsuranceAI #AITransformation #InsuranceTechnology

Technical capability is important when choosing a technology partner, but it is not enough. Insurance companies should also look for: • Real insurance-domain fluency • A clear point of view backed by experience • Transparency around AI use and data handling • The ability to challenge an approach when it does not make sense The right partner should understand the business context, identify risks early, and be willing to say no when there is a better way to reach the objective. 📎 What’s your criteria for a capable technology partner? #InsuranceTechnology #TechnologyPartner #DigitalTransformation

Refund reviews. BSP reconciliation. Exchange queues. Many agencies have modernized the front end, but back-office work still runs on manual effort, and the cost shows up as overtime and settlement errors. AI and workflow automation can take the repetitive work off your team, so they only handle the exceptions that need judgment, without replacing the platforms you already run. See what's realistically automatable in your environment.

On to Mondo.NYC next week! Always like this one because it's in BK, and sits right where music, tech, legal and touring meet. If you’re going, ping me and let’s connect. #mondonyc #mondonyc2026 #musicbusiness #musictech #DataArt

8 seconds. 99% accuracy. That's how long it takes DataArt's AI to turn PDFs, screenshots, and manual logs into structured aviation data , no more copy-pasting into spreadsheets.

Fuel is 30% of airline costs, but reconciliation is still manual. Mismatched invoices, outdated data, decisions made on gut feel.