AI algorithms News
June 22, 2017
Machine learning in cybersecurity applications for identity management systems are becoming more common today. But will algorithms be the best option for authenticating and authorizing users?
June 21, 2017
In this SearchCIO Q&A, author and data scientist Cathy O'Neil talks about the danger of trusting algorithms too much.
June 09, 2017
This is a guest blogpost by Yasmeen Ahmad , Director of Think Big Analytics, Teradata Will you be superseded by an intelligent algorithm? Despite the fear mongering of robots taking over the world ...
May 18, 2017
Deep learning may share some characteristics of traditional machine learning, but experienced users say it's really in a class by itself when it comes to model design and output.
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Risks abound, and no amount of preparation or caution will eliminate them entirely from our lives. This is as true now as it was in the past, and it likely will remain true in the future.
While technology enables us all to work more effectively and productively, the necessity of managing IT risk remains. Risk follows wherever we go -- from the data center to the cloud, from virtualized workloads to containers. Smart IT organizations are continuously assessing threats and then devising ways to minimize them. That's the goal, at least.
This issue of Modern Infrastructure examines some of the current approaches to managing IT risk, from maintaining security to handling costs.
In our cover story, TechTarget's Beth Pariseau writes about the particular challenges of container security. IT shops have been reluctant to put containers in production in large part because of the uncertainty about how secure they might be. Updates from Docker and more disciplined app development practices are making containers less risky, Pariseau writes. And there's reason to think that containers could be even more secure than VMs.
Getting comfortable with containers is a process not unlike how technology professionals learned how to safely use cloud services. It takes some time and effort, but managing IT risk can bring exciting and powerful new tools safely into the fold.Continue Reading
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The questions surrounding deep learning techniques used to be related to use cases, but more and more businesses are seeing operational hurdles to their adoption. Continue Reading
Consultant David Loshin explains some widely used data analytics and machine learning techniques and details how the associated automated algorithms work. Continue Reading
The public's faith in machine learning techniques has never been put to the test quite like it will be by the emergence of self-driving cars, which are reliant on the technology. Continue Reading