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, Medium article.
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.