Mon.Feb 25, 2019

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CEOs might ponder… is there no IT anymore?

Mark Raskino

Might the term “IT” become lost in the sands of time? Nearly one fifth of the 21st century is behind us already – gosh time flies. Generation Z, those who were born in the 2000s, are now entering the workforce as adults. I wonder what the term “IT” means to them? If they learn by listening to office conversation, they would be forgiven for thinking it’s something companies used to do but is now becoming redundant – like slide rules or typing pools.

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5 Reasons You Can’t Wait to Modernize Your Infrastructure

CDW Research Hub

What era of servers is your business running on? Can your outdated infrastructure compete in the age of digital transformation, where unprecedented data growth is driving the business economy? Or are you continuing to invest in a platform that was built ten years ago, or even more? Decade-old servers can’t keep pace with the mechanisms propelling today’s business outcomes, like big data, virtualization, cloud, the Internet of Things (IoT) and AI.

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Core Principles for Decision Management Success in Insurance Claims Handling

Decision Management Solutions

To keep processing costs low, many insurance carriers have a goal to increase the percentage of their claims that can be processed and decisioned with no human decision-making involved. This is called increasing the rate of straight-through processing (STP). Perhaps surprisingly, there remains a fair amount of human intervention involved in processing insurance claims.

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Liverpool Victoria Democratizes Machine Learning Across Their Business with DataRobot

DataRobot

Liverpool Victoria (LV=) is one of the United Kingdom’s largest insurance companies with over five million customers. LV= offers a wide range of products, such as car, home, pet, travel, and life insurance. Pardeep Bassi, the Head of Data Science at LV=, spoke at our AI Experience London event about “Driving the Implementation of Machine Learning Across a Business.”.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.