Session held live on Wednesday, April 3, 2019 | 11:00 a.m. EST | Hosted by Genpact with featured speaker, Manu Aggarwal, Practice Director, Everest Group
For many risk and compliance executives in the banking industry, high false positive rates and investigation inefficiencies are still their biggest pain points. Meanwhile, the pressure to fight financial crime, cut costs, and reduce inefficiencies continues to escalate.
Join this webinar discussion on why financial institutions need to look beyond these pain points, which are just the “tip of the iceberg”. Together, we will examine how to solve the much more daunting problem of data management that lurks beneath the surface.
Manu Aggarwal, Practice Director, Everest Group
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
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
Potential use cases of quantum computing in Banking & Financial Services: portfolio analysis, fraud detection, optimization, quantum-proofing of cybersecurity systems, high frequency trading, asset valuation, clustering
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