Keynotes 09/19/2021
summary
Five short, concrete briefings: quantum claims that 6000 clean qubits (≈1M noisy) are needed to break RSA, current devices sit at 50–200 noisy qubits, error correction costs ~150 noisy per clean and qRAM is a 15–20 year bottleneck; cloud tools cited include Braket, OpenQASM, PennyLane and TensorFlow Quantum. Identity/data product sessions give numbers — 12 billion records into 600M profiles and serve 50M users/month — argue for personalized privacy and three C's (customer, company, competitors) thinking, show Kurlon’s digital supply chain (10 factories, 72 warehouses, AR app, WhatsApp bot) and warn about bias, sparsity and feature engineering needs for real ML and MTA attribution.
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chapters (8)
- 0:00Welcome and introduction
- 3:07Mayor Eric Garcetti’s message
- 15:50Quantum computing fundamentals
- 26:18Future of data and privacy
- 37:34Data as a product
- 48:34Digital transformation case study
- 1:05:15Common modeling pitfalls
- 1:16:03Closing remarks and sponsors
