“The global artificial intelligence (AI) in Banking market is expected to reach a market size of USD 130.00 Billion by 2027 and register a high revenue CAGR, according to latest analysis by Emergen Research Due to increasing implementation of AI-driven applications in the banks, including customer relationship management (CRM), data analytics & visualization, and chatbot…
Tag: ai Banking
Introducing the future of digital identity
“Incode allows financial institutions to effectively capture customer data from their ID, verify identity documents, authenticate facial biometrics and identify any potential security risks up to 5 times faster than traditional onboarding processes. ‘Instead of going to the bank and going through the long process of proving who you are, it’s going to be a…
Worldwide Spending on AI-Centric Systems Will Pass $300 Billion by 2026, According to IDC
“Banking and Retail are the two industries that will deliver the largest AI investments over the forecast period. Together, the two industries will account for roughly one quarter of all AI spending worldwide. Among the 30 AI use cases identified by IDC, Augmented Customer Service Agents will see the most spending throughout the forecast, reaching…
US commercial bank Truist acquires tech firm Zaloni’s Arena platform
“Truist will acquire the Zaloni Arena platform, which the firm hopes will accelerate its data governance, metadata management, advanced analytics and artificial intelligence and machine learning (AI/ML) programmes. The Arena platform offers data for advanced analytics and AI/ML use cases using an “intelligent and collaborative” data catalogue, automated governance and “unified observability” that it claims…
Banks Are Cashing In on Embedded AI
“In 2021, McKinsey released a report that found that AI is quickly becoming embedded in financial institutions. The report, which surveyed over 200 senior executives across the globe, found that AI is most commonly used for robotic process automation (36%), virtual assistants or conversational interfaces (32%), and machine learning techniques (25%) to detect fraud and…