In the rapidly evolving landscape of financial services, embracing AI and digital innovation at scale has become imperative for banks to stay competitive. With the power of AI and machine learning, financial institutions can leverage predictive analytics, anomaly detection and shared learning models to enhance system stability, detect fraud and drive superior customer-centric experiences. As we step into 2023, the focus has shifted to digital financial services, encompassing embedded finance, generative AI and the migration of super apps from China into…Source: IBM Blockchain
Accelerating AI & Innovation: the future of banking depends on core modernization
GR Peacockadoption, AI, analysis, analytics, api, Applications, apps, Artificial Intelligence, bank, banking, banks, blockchain, blog, business, Business transformation, business value, capabilities, China, cloud, Cloud Services, collaboration, competition, compliance, Consulting, core modernization, Customization, data, data analysis, detection, digital, digital identity, digital transformation, economy, ecosystem, Ecosystems, efficiency, emerging technologies, enterprise, Finance, financial, financial institutions, financial sector, financial services, FinTech, fraud, future, generative AI, global, hybrid, hybrid cloud, ibm, IBM watsonx, identity, industry, infrastructure, innovation, IT, Language, legacy, legacy systems, machine learning, Migration, modernization, multicloud, operational, opportunity, personalized, Power, predictive analytics, processes, Products, Products and services, protocols, providers, regulations, regulatory, regulatory requirements, requirements, scale, security, sensitive data, services, solution, solutions, strategic, Strategy, support, sustainability, technology, trends, value, Vision