Machine Learning will be a must have in banking as early as by 2020
28.04.2018 13:57:19
1175 views
28.04.2018
1175 views
The effectiveness of ML implementation directly depends on bank’s IT architecture, believes Alexander Sakharov, Head of Digital Banking at URALSIB Bank.
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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