Analytics in 2030
summary
Predicts specific near‑future tech and concrete pilots: Quantum computing: a commercial Finnish unit sells for €1M to universities but isn’t production ready, Federated learning trains models inside hospitals to preserve privacy while exposing robustness and trust risks, Real‑time continuous intelligence shifts some supply‑chain and next‑best‑action use cases into live decisions, AutoML in Click is being trialed at Telia H to reduce coding needs. Also cites Google DeepMind for eye diagnostics and MIT’s Synthetic Data Vault for statistically faithful synthetic health data.
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chapters (14)
- 0:00Analytics trends in 2030
- 1:10Data analysis evolution
- 5:53Early automation in analytics
- 9:0945-year analyst career
- 13:06Telecom data explosion
- 17:28Tech shaping analytics by 2030
- 21:45Federated learning & privacy
- 23:32Real-time continuous intelligence
- 25:41AutoML for accessibility
- 27:09Ethical AI & human-centered AI
- 30:52Synthetic data generation
- 34:50Interdisciplinary data analytics
- 36:41Future-proofing analytics career
- 39:12Data remains new oil
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