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Why In-Place Information Management Is Not A Complete Solution

  • April 7, 2021
The limitations of in-place information management go beyond storage savings: duplicate files will drive up the cost of eDiscovery and regulatory resp...
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in-place information management

AI-Machine Learning

  • May 10, 2019

Video Blog: How AI Helps IBM Predict When Employees are Going to Quit

By archiving their email into a data lake, IBM can predict with 95% accuracy when one of their people is going to leave.
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  • September 4, 2018

Dammit Jim, I’m a Doctor, not an AI - Healthcare and Machine Learning

Healthcare costs continue to skyrocket. The healthcare industry is seeing an unprecedented and accelerating growth of ESI. What can be done to get hea...
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  • August 9, 2017

Archive360’s Three Laws of Machine Learning

Moving from supervised to unsupervised machine learning conjures up thoughts of SkyNet, the artificial intelligence and main villain in the Terminator...
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  • August 7, 2017

2017 – An Information Odyssey

One of the challenges the information management industry continues to face is how to extend machine learning capability to audio and video content.
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  • July 10, 2017

Are Pigs Starting to Fly?

The holy grail for information governance has always been error-free, intelligent, automation to take end users out of the process.
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PaaS vs SaaS Archives: What You Need to Know

All cloud archives are not created equal. There are major differences between archives deployed in a SaaS model versus a PaaS model that affect the security, accessibility and functionality of your archived data. This Technical Guide explores what you will need to consider in order to make an informed decision about PaaS versus SaaS.