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This book, the second one of three volumes, gives practical
examples by a number of use cases showing how to take first steps
in the digital journey of banks and insurance companies. The angle
shifts over the volumes from a business-driven approach in
"Disruption and DNA" to a strong technical focus in "Data Storage,
Processing and Analysis", leaving "Digitalization and Machine
Learning Applications" with the business and technical aspects
in-between. This second volume mainly emphasizes use cases as well
as the methods and technologies applied to drive digital
transformation (such as processes, leveraging computational power
and machine learning models).
This book, the third one of three volumes, focuses on data and the
actions around data, like storage and processing. The angle shifts
over the volumes from a business-driven approach in "Disruption and
DNA" to a strong technical focus in "Data Storage, Processing and
Analysis", leaving "Digitalization and Machine Learning
Applications" with the business and technical aspects in-between.
In the last volume of the series, "Data Storage, Processing and
Analysis", the shifts in the way we deal with data are addressed.
This book, one of three volumes, showcases the effective
transformation of companies providing banking and insurance
services. This first volume gives a business-oriented introduction
to the setting and the current challenges of fintech, regtech, and
insurtech and provides an outlook on what will be needed in the
future. Specific sub-departments in financial services are examined
with a view to accounting, risk, and regulatory segments. The book
also addresses the importance of cultural aspects of the coming
digital transformation with an eye to requirements that will enable
a digital bank or insurance company to thrive in 2025. The angle
shifts over the volumes from a business-driven approach in
"Disruption and DNA" to a strong technical focus in "Data Storage,
Processing and Analysis", leaving "Digitalization and Machine
Learning Applications" with the business and technical aspects
in-between.
This book demystifies the developments and defines the buzzwords in
the wide open space of digitalization and finance, exploring the
space of FinTech through the lens of the financial services
professional and what they need to know to stay ahead. With
chapters focusing on the customer interface, payments, smart
contracts, workforce automation, robotics, crypto currencies and
beyond, this book aims to be the go-to guide for professionals in
financial services and banking on how to better understand the
digitalization of their industry. The book provides an outlook of
the impact digitalization will have in the daily work of a CFO/CRO
and a structural influence to the financial management (including
risk management) department of a bank.
This book demystifies the developments and defines the buzzwords in
the wide open space of digitalization and finance, exploring the
space of FinTech through the lens of the financial services
professional and what they need to know to stay ahead. With
chapters focusing on the customer interface, payments, smart
contracts, workforce automation, robotics, crypto currencies and
beyond, this book aims to be the go-to guide for professionals in
financial services and banking on how to better understand the
digitalization of their industry. The book provides an outlook of
the impact digitalization will have in the daily work of a CFO/CRO
and a structural influence to the financial management (including
risk management) department of a bank.
This book, one of three volumes, showcases the effective
transformation of companies providing banking and insurance
services. This first volume gives a business-oriented introduction
to the setting and the current challenges of fintech, regtech, and
insurtech and provides an outlook on what will be needed in the
future. Specific sub-departments in financial services are examined
with a view to accounting, risk, and regulatory segments. The book
also addresses the importance of cultural aspects of the coming
digital transformation with an eye to requirements that will enable
a digital bank or insurance company to thrive in 2025. The angle
shifts over the volumes from a business-driven approach in
"Disruption and DNA" to a strong technical focus in "Data Storage,
Processing and Analysis", leaving "Digitalization and Machine
Learning Applications" with the business and technical aspects
in-between.
This book, the third one of three volumes, focuses on data and the
actions around data, like storage and processing. The angle shifts
over the volumes from a business-driven approach in "Disruption and
DNA" to a strong technical focus in "Data Storage, Processing and
Analysis", leaving "Digitalization and Machine Learning
Applications" with the business and technical aspects in-between.
In the last volume of the series, "Data Storage, Processing and
Analysis", the shifts in the way we deal with data are addressed.
This book, the second one of three volumes, gives practical
examples by a number of use cases showing how to take first steps
in the digital journey of banks and insurance companies. The angle
shifts over the volumes from a business-driven approach in
"Disruption and DNA" to a strong technical focus in "Data Storage,
Processing and Analysis", leaving "Digitalization and Machine
Learning Applications" with the business and technical aspects
in-between. This second volume mainly emphasizes use cases as well
as the methods and technologies applied to drive digital
transformation (such as processes, leveraging computational power
and machine learning models).
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