

Martin De Saulles
Contributor
Dr. Martin De Saulles is a writer and academic specializing in researching and writing about data-driven innovation and the Internet of Things. He has a Ph.D. in Innovation Studies from the University of Sussex in the UK and worked as a technology analyst and entrepreneur before his current role as a Principal Lecturer at the University of Brighton.
De Saulles has published several books, market reports as well as journal papers and frequently presents at conferences. In 2015 the second edition of his book "Information 2.0: New Models of Information Production, Distribution and Consumption" was published by Facet Publishing and in 2017 Routledge published his book "The Internet of Things and Business." He is currently writing another book for Routledge titled "The Business of Data," due for publication in 2019.
The opinions expressed in this blog are those of Martin De Saulles and do not necessarily represent those of IDG Communications, Inc., its parent, subsidiary or affiliated companies.


Is your business about to be disrupted by data?
The challenge of dealing with COVID-19 comes on top of recent trends in data-driven innovation and presents challenges and opportunities for companies across all sectors.

Data ahead! How smart products are changing the traditional sales cycle
Smart and connected products are changing the traditional sales funnel and customer lifecycle and presenting new challenges and opportunities for CIOs.

5 factors that will shape data-driven innovation in 2020
The coming year promises new challenges and opportunities for companies building data-driven services.

What exactly is a data-driven organization?
Understanding what makes a data-driven business is essential for any company wishing to remain relevant over the next decade.
5 manieren waarop start-ups innoveren met data
Start-ups vinden creatieve manieren om niche data opnieuw te gebruiken

5 ways startups are innovating with data
Successful data-driven business models can be built from finding, aggregating and repackaging niche data from unexpected sources.

5 ways to kick-start your platform strategy
Data-driven business models often rely on building platforms that bring users and suppliers together in mutually beneficial ways. However, attracting your first customers to a platform that has little to offer can be a stumbling block...

8 factors shaping the future of big data, machine learning and AI
AI and machine learning combined with ever-increasing amounts of data are changing our commercial and social landscapes. A number of themes and issues are emerging within these sectors that CIOs need to be aware of.

Profiting from free and underused data
Data that firms can use to increase revenues and reduce costs may be more abundant than many realize. Neglected internal data assets as well as freely available information from the web and public sector could be just what your...

4 reasons why you should consider a platform strategy
Platforms from which to deliver products and services can be very profitable ways to gain market share and build customer loyalty. Any CIO involved in developing a digital strategy for a new product launch should consider whether a...
-
Video/Webcast
Sponsored -
Analyst Report
Sponsored -
eBook
Sponsored -
White Paper
-
Analyst Report
Sponsored