Wealth management is facing significant disruption on two fronts – customer experience and digital transformation. To effectively succeed within these turbulent times, understanding client demographics and expectations is essential. Firms can leverage deep customer insights to grasp their clients’ changing ethos and develop solutions accordingly. Improved customer satisfaction often drives competitive advantage. As firms prioritize superior customer experience, they are adopting intelligent solutions such as analysis of consumer sentiments to deliver hyper-personalized services. Firms are also leveraging artificial intelligence (AI) and machine learning (ML) techniques to improve client-advisor relationships. To innovate, especially within legacy infrastructures, organizations must embrace open APIs to scale technology capability with support from WealthTech newcomers and third-party vendors that offer generic and customizable API-based platforms. Regulations such as the EU’s General Data Protection Regulation (GDPR) and know your customer (KYC) mandates are pushing firms to ramp up cybersecurity and automate cumbersome client onboarding processes, in a data-driven compliance scenario.
Talk presented at the Analytics Frontiers Conference in Charlotte on March 21. The presentation evaluates opportunities and risks of AI and how consumers, businesses, society and governments can mitigate some of the risks.
AI powered Decision Making in Banks - How Banks today are using Advanced analytics in credit Decisioning, enhancing customer life time value, lower operating costs and stronger customer acquisition
AI holds the potential to be a major driver of economic growth and social progress, if industry, civil society, government, and the public work together to support the development of the technology with thoughtful attention to its potential and to managing its risks." That's the introduction to the White House's October report on the future of artificial intelligence. Perhaps no function of the U.S. government stands to benefit more from the sound application of machine learning and AI than national security. Military leaders look toward a future where an increasing amount of dull and dangerous work can be offloaded to machines. These robot helpers could be physical - wheeled or legged units accompanying infantry troops on patrol - merely virtual: advanced co-pilot agents helping airmen land F-35s on the decks of carriers, - programs running in the background of massive intelligence and processing efforts. Artificial intelligence offers the chance to reduce the costs, time, and mission-related dangers across the Defense Department.
Wealth management is facing significant disruption on two fronts – customer experience and digital transformation. To effectively succeed within these turbulent times, understanding client demographics and expectations is essential. Firms can leverage deep customer insights to grasp their clients’ changing ethos and develop solutions accordingly. Improved customer satisfaction often drives competitive advantage. As firms prioritize superior customer experience, they are adopting intelligent solutions such as analysis of consumer sentiments to deliver hyper-personalized services. Firms are also leveraging artificial intelligence (AI) and machine learning (ML) techniques to improve client-advisor relationships. To innovate, especially within legacy infrastructures, organizations must embrace open APIs to scale technology capability with support from WealthTech newcomers and third-party vendors that offer generic and customizable API-based platforms. Regulations such as the EU’s General Data Protection Regulation (GDPR) and know your customer (KYC) mandates are pushing firms to ramp up cybersecurity and automate cumbersome client onboarding processes, in a data-driven compliance scenario.
Talk presented at the Analytics Frontiers Conference in Charlotte on March 21. The presentation evaluates opportunities and risks of AI and how consumers, businesses, society and governments can mitigate some of the risks.
AI powered Decision Making in Banks - How Banks today are using Advanced analytics in credit Decisioning, enhancing customer life time value, lower operating costs and stronger customer acquisition
AI holds the potential to be a major driver of economic growth and social progress, if industry, civil society, government, and the public work together to support the development of the technology with thoughtful attention to its potential and to managing its risks." That's the introduction to the White House's October report on the future of artificial intelligence. Perhaps no function of the U.S. government stands to benefit more from the sound application of machine learning and AI than national security. Military leaders look toward a future where an increasing amount of dull and dangerous work can be offloaded to machines. These robot helpers could be physical - wheeled or legged units accompanying infantry troops on patrol - merely virtual: advanced co-pilot agents helping airmen land F-35s on the decks of carriers, - programs running in the background of massive intelligence and processing efforts. Artificial intelligence offers the chance to reduce the costs, time, and mission-related dangers across the Defense Department.
