Absolutely and unequivocally the answer is AI—regardless of the technology, organizational capability, or innovation question being asked.
Tag: Mark P. Dangelo
Mark P. Dangelo: In an AI Reimagined Financial World, It Begins with the Consumer (Part 3)
Sustainable customer-centric AI for BFSI industry operations requires not just quality data and system interoperability—it demands shifts in mindsets. AI’s implementation must be preceded by a quantum shift of design thinking lead by altered strategy approaches, which move beyond FinTech and RegTech traditional solutions.
Mark P. Dangelo: In an AI Reimagined Financial World, It Begins with the Consumer (Part 3)
Sustainable customer-centric AI for BFSI industry operations requires not just quality data and system interoperability—it demands shifts in mindsets. AI’s implementation must be preceded by a quantum shift of design thinking lead by altered strategy approaches, which move beyond FinTech and RegTech traditional solutions.
Mark P. Dangelo: In an AI Reimagined Financial World, It Begins with the Consumer (Part 3)
Sustainable customer-centric AI for BFSI industry operations requires not just quality data and system interoperability—it demands shifts in mindsets. AI’s implementation must be preceded by a quantum shift of design thinking lead by altered strategy approaches, which move beyond FinTech and RegTech traditional solutions.
Mark P. Dangelo: In an AI Reimagined Financial World, It Begins with the Consumer (Part 2)
What happens when those breathtaking artificial intelligence (#AI) solutions are wrong? Moreover, when AI systems “talk” or cascade to other downstream AI systems, how can erroneous information in across data-driven, data-as-a-product solutions be recalled without influencing or cascading into blackholes of consumer chaos, frustration, and account loss?
Mark P. Dangelo: In an AI Reimagined Financial World, It Begins with the Consumer (Part 2)
What happens when those breathtaking artificial intelligence (#AI) solutions are wrong? Moreover, when AI systems “talk” or cascade to other downstream AI systems, how can erroneous information in across data-driven, data-as-a-product solutions be recalled without influencing or cascading into blackholes of consumer chaos, frustration, and account loss?
Mark P. Dangelo: In an AI Reimagined Financial World, It Begins with the Consumer (Part 2)
What happens when those breathtaking artificial intelligence (#AI) solutions are wrong? Moreover, when AI systems “talk” or cascade to other downstream AI systems, how can erroneous information in across data-driven, data-as-a-product solutions be recalled without influencing or cascading into blackholes of consumer chaos, frustration, and account loss?
Mark P. Dangelo: In an AI Reimagined Financial World, It Begins with the Consumer (Part 1)
AI is undergoing its “Halo and Horns Effect”—everything it touches is anticipated to turn into a pot of gold or end civilization. However, while the promise is unprecedented, the realities of being able to define, build, and sustain dynamic AI initiatives are innovatively and operationally complex. For organizations to succeed, they will require an iterative framework that is principle encased, delivered with precise actions of rationale, and all the while continuously mitigating hidden implications.
Mark P. Dangelo: In an AI Reimagined Financial World, It Begins with the Consumer (Part 1)
AI is undergoing its “Halo and Horns Effect”—everything it touches is anticipated to turn into a pot of gold or end civilization. However, while the promise is unprecedented, the realities of being able to define, build, and sustain dynamic AI initiatives are innovatively and operationally complex. For organizations to succeed, they will require an iterative framework that is principle encased, delivered with precise actions of rationale, and all the while continuously mitigating hidden implications.
Mark P. Dangelo: In an AI Reimagined Financial World, It Begins with the Consumer (Part 1)
AI is undergoing its “Halo and Horns Effect”—everything it touches is anticipated to turn into a pot of gold or end civilization. However, while the promise is unprecedented, the realities of being able to define, build, and sustain dynamic AI initiatives are innovatively and operationally complex. For organizations to succeed, they will require an iterative framework that is principle encased, delivered with precise actions of rationale, and all the while continuously mitigating hidden implications.