As data-centric BFS firms backed by sophisticated AI engines increasingly run quasi-autonomous and faster business processes, the QA function will have to evolve to assure the quality of business decisions based on automated business rules and inputs from AI engines
QA imperatives for building omnichannel digital experiences:
Personalized
Easy
Responsive
Secure
Ubiquitous
Characteristics of a digital bank:
Support new products and services
Orchestrate an omnichannel experience
Orchestrate customer data ecosystems
Build the intelligent enterprise
The future of banking will move from managing products to owning customer lifestyles through coordination of the entire financial services ecosystem, such as banking, home purchase, travel, insurance, and shopping
Enterprises that lack access to the requisite specialized skills or have limited experience with agile/DevOps principles of application development should avoid large-scale cloud native initiatives; they will be best served by running pilots for select, low-risk greenfield applications to learn and scale the practice
Key considerations to select and prioritize application candidates for cloud-native
Successful cloud native adoption requires a SMART IT operating design and model
To maximize the benefits of blockchain, enterprises need to take a planned and measured approach to adoption
The quantum computing ecosystem:
Quantum development kits – for coding in quantum assembly languages
QCaaS subscription services – for use-case exploration, algorithm development, and simulation
Partnerships with startups – to drive rapid innovation in QC initiatives
Quantum hardware – to access quantum machines with enormous compute capacities
A five-step approach for BFS enterprises to be quantum-ready
Launch proofs-of-concept
Develop algorithms
Build a talent model
Develop market intelligence
Form a task force
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