A Structured Approach to Blockchain Adoption | Market Insights™
To maximize the benefits of blockchain, enterprises need to take a planned and measured approach to adoption
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
From a starting list of 128 leading RegTech startups, we identified trailblazers within seven key RegTech areas (data management and protection, fraud detection and investigation, identity and access management, KYC/AML, information security / cybersecurity, regulatory compliance management, and risk management) based on funding activity, the value proposition of the GRC solution, innovation in offerings and business model, and the use of emerging technologies to solve specific GRC challenges.
From a starting list of 128 leading RegTech startups, we identified trailblazers within seven key RegTech areas (data management and protection, fraud detection and investigation, identity and access management, KYC/AML, information security / cybersecurity, regulatory compliance management, and risk management) based on funding activity, the value proposition of the GRC solution, innovation in offerings and business model, and the use of emerging technologies to solve specific GRC challenges.
From a starting list of 128 leading RegTech startups, we identified trailblazers within seven key RegTech areas (data management and protection, fraud detection and investigation, identity and access management, KYC/AML, information security / cybersecurity, regulatory compliance management, and risk management) based on funding activity, the value proposition of the GRC solution, innovation in offerings and business model, and the use of emerging technologies to solve specific GRC challenges.
From a starting list of 128 leading RegTech startups, we identified trailblazers within seven key RegTech areas (data management and protection, fraud detection and investigation, identity and access management, KYC/AML, information security / cybersecurity, regulatory compliance management, and risk management) based on funding activity, the value proposition of the GRC solution, innovation in offerings and business model, and the use of emerging technologies to solve specific GRC challenges.
From a starting list of 128 leading RegTech startups, we identified trailblazers within seven key RegTech areas (data management and protection, fraud detection and investigation, identity and access management, KYC/AML, information security / cybersecurity, regulatory compliance management, and risk management) based on funding activity, the value proposition of the GRC solution, innovation in offerings and business model, and the use of emerging technologies to solve specific GRC challenges.
From a starting list of 128 leading RegTech startups, we identified trailblazers within seven key RegTech areas (data management and protection, fraud detection and investigation, identity and access management, KYC/AML, information security / cybersecurity, regulatory compliance management, and risk management) based on funding activity, the value proposition of the GRC solution, innovation in offerings and business model, and the use of emerging technologies to solve specific GRC challenges.
©2023 Everest Global, Inc. Privacy Notice Terms of Use Do Not Sell My Information
"*" indicates required fields