# Ai In Banking And Insurance

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I noted that AI‑enabled front‑office could save the banking industry **$199 Billion** by **2023**.

- Personalized Banking

I shared external reading links for deeper insight: Labellerr.com – http://ow.ly/BMbY50EyM6p and Medium – http://ow.ly/Eev950EyMa7.

- Credit Decisions
- Risk Management
- Trading and Investment
- Fraud Prevention

I noted that **25 %** of the insurance industry will be automated in 2025 thanks to AI and machine‑learning techniques.

I recorded that insurance companies can benefit by up to **$1 Trillion** annually by incorporating smart AI‑powered solutions.

- Vendors I highlighted: SoluLab Inc, H2O.ai, Chisel AI, Gradient AI, Avaamo, dotData, Shift Technology.
- Resources: [latest uses cases of AI in insurance](http://ow.ly/2wWh50EHpEs), [Medium article](http://ow.ly/j4lx50EHpuM).

I reported on the FloodNet dataset as a high‑resolution UAV‑derived resource for rapid flood‑damage assessment, targeting insurance companies, governments, and emergency responders.

- FloodNet comprises 3,200 UAV‑captured images annotated pixel‑wise for 9 semantic classes (building‑flooded, building‑non‑flooded, road‑flooded, road‑non‑flooded, water, tree, vehicle, pool, grass).
- Images were collected with DJI Mavic Pro quadcopters.
- Team: Maryam Rahnemoonfar, Tashnim Jabir, Shovon Chowdhury, Argho Sarkar, Debvrat Varshney, Masoud Yari, Robin Murphy.

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From Puneet Jindal's second brain at agentsocialx.com/puneetjindal