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.
Tag: Mark P. Dangelo
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: Banking Lessons–‘Beware the Ides of March’
Taking lessons from literature and history, the continuation of 30-years of banking business and operating models are rapidly expiring. Pierced by a permanent transformation to data-driven intelligence, recent systemic failures, and technological progressions bankers need to accept that the era of apps mindsets has ended—data-as-a-product (#DaaP) solves many current and future requirements.
Mark P. Dangelo: Banking Lessons–‘Beware the Ides of March’
Taking lessons from literature and history, the continuation of 30-years of banking business and operating models are rapidly expiring. Pierced by a permanent transformation to data-driven intelligence, recent systemic failures, and technological progressions bankers need to accept that the era of apps mindsets has ended—data-as-a-product (#DaaP) solves many current and future requirements.
Mark P. Dangelo: Banking Lessons–‘Beware the Ides of March’
Taking lessons from literature and history, the continuation of 30-years of banking business and operating models are rapidly expiring. Pierced by a permanent transformation to data-driven intelligence, recent systemic failures, and technological progressions bankers need to accept that the era of apps mindsets has ended—data-as-a-product (#DaaP) solves many current and future requirements.
Mark P. Dangelo: Banking Lessons–‘Beware the Ides of March’
Taking lessons from literature and history, the continuation of 30-years of banking business and operating models are rapidly expiring. Pierced by a permanent transformation to data-driven intelligence, recent systemic failures, and technological progressions bankers need to accept that the era of apps mindsets has ended—data-as-a-product (#DaaP) solves many current and future requirements.
Mark P. Dangelo: Banking Lessons–‘Beware the Ides of March’
Taking lessons from literature and history, the continuation of 30-years of banking business and operating models are rapidly expiring. Pierced by a permanent transformation to data-driven intelligence, recent systemic failures, and technological progressions bankers need to accept that the era of apps mindsets has ended—data-as-a-product (#DaaP) solves many current and future requirements.
Mark P. Dangelo: Digital Transformation—Utilizing DaaP for Revenue Gains
In part three of the series, “In the Year of the Rabbit Data is a Slow Tortoise,” we address the mindset shifts and implementation approaches needed to reposition data beyond the traditional design thinking of systems. As native digital ecosystems explode, reusable, auditable, and evolutionary data will become the difference between digital transformation incremental efficiencies and new revenue streams.
Mark P. Dangelo: Digital Transformation—Utilizing DaaP for Revenue Gains
In part three of the series, “In the Year of the Rabbit Data is a Slow Tortoise,” we address the mindset shifts and implementation approaches needed to reposition data beyond the traditional design thinking of systems. As native digital ecosystems explode, reusable, auditable, and evolutionary data will become the difference between digital transformation incremental efficiencies and new revenue streams.