Remove Big data Remove Blockchain Remove Digital transformation Remove Insurance
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Top financial services trends of 2024

IBM Big Data Hub

One example of this is in insurance. Since AI has an ability to find trends in data, AI helps insurers create personalized products which could lead to more accurate risk assessments and ease insurance costs for individuals. Separately, blockchain is also likely to come back into the picture.

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Meeting Evolving Business Needs – A Conversation Between RIM Educators and Thought Leaders

Information Governance Perspectives

And that is, from a career standpoint we are witnessing professionals with IG skillsets increasingly being tapped to lead technology upgrades, digital transformation projects, and cross-functional teams in a number of sectors. And I’m not surprised that a majority of the questions shared here are related to emerging technologies.

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Secrets of the Scrap Metal King of Albuquerque

Information Governance Perspectives

The following is an exclusive excerpt from the book “Tomorrow’s Jobs Today: Wisdom and Career Advice from Thought Leaders in AI, Big Data, Blockchain, the Internet of Things, Privacy, and More” available soon from John Hunt Publishing. Contact him at www.capp-llc.com or follow him on Twitter @rafael_moscatel.

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Part 3: OMG! Not another digital transformation article! Is it about effecting risk management and change management?

ARMA International

Now information technologies and the information revolution are again transforming society. The COVID-19 pandemic further accelerated the transformation from many years to just a couple of years. This 3-part series discusses digital transformation (DT) from several perspectives. Big Data Considerations.

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#ModernDataMasters: Scott Taylor, “The Data Whisperer”

Reltio

It’s the people who have no idea what master data is and no time to learn it – but who have all the money – who really need to understand the value of it and what it can do for the enterprise.” . How would you define “modern” data management and what does it /should it mean for organisations that adopt it?

MDM 40
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#ModernDataMasters: Sarit Bose, Cognizant

Reltio

“We all know the “garbage in, garbage out” saying but unless you are working in data management then it is probably hard to gauge just how important it is to get the data right and the impact it can have on the results of your analytics.”. I learned this very early on and it is even more important in today’s world of big data.