Machine Learning will be a must have in banking as early as by 2020
28.04.2018 13:57:19
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28.04.2018
The effectiveness of ML implementation directly depends on bank’s IT architecture, believes Alexander Sakharov, Head of Digital Banking at URALSIB Bank.
The effectiveness of ML implementation directly depends on bank’s IT architecture, believes Alexander Sakharov, Head of Digital Banking at URALSIB Bank.
Journal: PLUS Journal 3 (250) 2018
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Read in this issue:
- Biometrics, security, expensive SMS and "system" P2P-transfers: signs of tardy spring
- Accenture: Russia needs a functioning Real-Time payment infrastructure
- Machine Learning will be a must have in banking as early as by 2020
- Open Banking: what should it be like?
- Sberbank: for SMEs, we should be a “bank of seconds”, rather than a “bank of days”
- Instant card issue on the basis of a self-service kiosk from OSTCARD
- “Ideal storm” for innovation implementation
- Agile in banking: shortening the GAP between theory and practice
- Post Bank: “We meetpost offices visitors’ needs in banking services in full”
- Can quantum computations hack blockchain?
- An iceberg of cybersecurity problems: look below the waterline
- Cash withdrawals at checkouts: will this service be introduced in the regions first?
- PLUS-Forum “Cards, Payments, Mobile 2018”: don’t miss your chance!
- Calendar of Events