Digital and industry reimaging has provided a new, integrated product solution defined by equal parts of data sciences, technologies, and business experience. Data-as-a-Product (DaaP) represents a process and organizational mindset-shift for many within financial and mortgage services, yet when adopted, the new revenue generated and efficiencies gained, illustrates the next-gen business cycle.
Tag: Mark P. Dangelo
Mark P. Dangelo: In the ‘Year of the Rabbit,’ Data is a Slow Tortoise (Part 1)
Academics, consultants, and vendors advocate for “data-driven” enterprises underpinned by augmented analytics, adaptative AI/ML, digital ethics, consumer privacy, and AI security. Yet, as the pace of innovation rises across financial markets and consumer models, the organizational capabilities of leveraging data are declining. What is wrong with this picture?
Mark P. Dangelo: In the ‘Year of the Rabbit,’ Data is a Slow Tortoise (Part 1)
Academics, consultants, and vendors advocate for “data-driven” enterprises underpinned by augmented analytics, adaptative AI/ML, digital ethics, consumer privacy, and AI security. Yet, as the pace of innovation rises across financial markets and consumer models, the organizational capabilities of leveraging data are declining. What is wrong with this picture?
Mark P. Dangelo: In the ‘Year of the Rabbit,’ Data is a Slow Tortoise (Part 1)
Academics, consultants, and vendors advocate for “data-driven” enterprises underpinned by augmented analytics, adaptative AI/ML, digital ethics, consumer privacy, and AI security. Yet, as the pace of innovation rises across financial markets and consumer models, the organizational capabilities of leveraging data are declining. What is wrong with this picture?
Mark P. Dangelo: In the ‘Year of the Rabbit,’ Data is a Slow Tortoise (Part 1)
Academics, consultants, and vendors advocate for “data-driven” enterprises underpinned by augmented analytics, adaptative AI/ML, digital ethics, consumer privacy, and AI security. Yet, as the pace of innovation rises across financial markets and consumer models, the organizational capabilities of leveraging data are declining. What is wrong with this picture?
Mark P. Dangelo: In the ‘Year of the Rabbit,’ Data is a Slow Tortoise (Part 1)
Academics, consultants, and vendors advocate for “data-driven” enterprises underpinned by augmented analytics, adaptative AI/ML, digital ethics, consumer privacy, and AI security. Yet, as the pace of innovation rises across financial markets and consumer models, the organizational capabilities of leveraging data are declining. What is wrong with this picture?
Mark P. Dangelo: 2023: We Who are About to Die Salute You!
The industry strains and the mitigation strategies demanded in 2023 will not follow traditional cycles of boom and bust—more technology, additional standards, and M&A events. The mortgage industry is being remade, reimaged for the next-gen economies, and the solutions and outcomes will be unfamiliar for many leaders, consultants and outsourcers.
Mark P. Dangelo: 2023: We Who are About to Die Salute You!
The industry strains and the mitigation strategies demanded in 2023 will not follow traditional cycles of boom and bust—more technology, additional standards, and M&A events. The mortgage industry is being remade, reimaged for the next-gen economies, and the solutions and outcomes will be unfamiliar for many leaders, consultants and outsourcers.
Mark P. Dangelo: 2023: We Who are About to Die Salute You!
The industry strains and the mitigation strategies demanded in 2023 will not follow traditional cycles of boom and bust—more technology, additional standards, and M&A events. The mortgage industry is being remade, reimaged for the next-gen economies, and the solutions and outcomes will be unfamiliar for many leaders, consultants and outsourcers.
Mark P. Dangelo: 2023: We Who are About to Die Salute You!
The industry strains and the mitigation strategies demanded in 2023 will not follow traditional cycles of boom and bust—more technology, additional standards, and M&A events. The mortgage industry is being remade, reimaged for the next-gen economies, and the solutions and outcomes will be unfamiliar for many leaders, consultants and outsourcers.