Retail CIO Outlook Weekly Brief
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Banks are already using the emerging technologies of Machine Learning, Artificial Intelligence and biometrics for data to work in personalized and customer service and relevant experiences.
Biometrics has dramatically evolved digital banking. Voice, face or fingerprint recognition are features of the secure biometric system. The specification’s of biometric features is what assures the safety to its clients. Biometrics is extremely difficult to replicate, and this is the advantage used by the retail industries to protect their finance very much secured.
In 2019, data-driven Artificial Intelligence and Machine Learning hold vast amounts of secure customer revenue data. Banks are investing a lot in using data for a complete view of the consumers. It is essential for the banks necessary for the banks to understand the need and offer them solutions for their finances.
Small and medium-sized enterprises (SMEs) and commercial lending and payments are seen in higher demand for deeper digitization across the business. Banks are looking for digital foundations with the acquisition, collections of data and onboarding services for more expansion with the approach of new trends in retail banking.
A growing trend also has the emergence of Open and Ecosystem banking with a seamless effect. Uber, Google, Airbnb, Netflix, and such other business models stand to testify this fact. Banks and finstechs use APIs (Application Program Interfaces) with rapid acceptance. Ecosystems deliver large value chains of leveraging startups, service providers and solution software suppliers.
Retail banking has shaped greater momentum in similar technology investments. The banking landscape has changed from traditional paperwork to data stored online. Emerging technologies, customer-centric offerings and digitization represent important priorities for retail banking. Banks have adopted DLT (Distributed Ledger Technology) and AI-based voice assistants improving good customer experiences and efficient banking services. Banks face competitive challenges every time and also have regulatory pressures which are being defended and solved with AI and Machine learning mechanisms.
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