How Cloud Management and SDN Killed the Traditional Enterprise LAN

A colleague of mine recently mashed up a famous R.E.M song for his blog. He reworked the famous lyrics to say, “It’s the end of the LAN as we know it… And I feel fine”. He couldn’t have been more spot on. As IT resources continue to move to the cloud, traditional infrastructure and the processes associated with running it are literally going out the window. One of the last IT resources to still make the migration to the cloud is the Enterprise LAN. However, since everything else is moving to the cloud, the way we use our LAN is changing. The actual critical IT resources still on the LAN have changed. Cloud management and Software Defined Networking are making it possible to radically simplify your Enterprise LAN – perhaps to the point where you can pay someone else to operate it.
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OTHER ON-DEMAND WEBINARS

Current State and Future Perspectives of AI

RSNA

In the last 5 years, Artificial intelligence (AI) techniques known as deep learning have delivered rapidly improving performance in image recognition. It is anticipated that the implementation of AI in radiology over the next decade will significantly improve the quality, value, and depth of radiology's contribution to patient care and population health, and will revolutionize radiologists' workflows. Therefore the RSNA AI Webinar Series has been developed to help Radiologists understand the fundamentals of this emerging technology.
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Build High Quality, High Performing, Native Mobile Apps – With Xamarin

Sogeti

Building multiple native mobile apps is extremely complex when you have to develop, test and maintain them for each and every mobile operating system. The challenge is further compounded by device fragmentation, app complexity, fast release cycles, and high user expectations. During the webinar, leading experts Neil Smith from the App Innovation team at Microsoft and George Georghiou from Sogeti, covered: Insights into how Xamarin Test Cloud improves cost, speed to market and user experience.
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Automated Quotes: The Next Frontier of AI in UX Research

Artificial Intelligence in UX research has come a long way. For years, qualitative researchers had to hand-code data from transcripts and manually generate reports from the large amount of data they collected.
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Scaling Python with Dask

Anaconda

Data scientists love the wealth of awesome capabilities offered by Python packages like Numpy, Pandas, and scikit-learn. However, these capabilities historically have been limited to data that can fit on a single machine. In Scaling Python with Dask, Lead Dask Developer Matt Rocklin will show how simple Dask makes scaling beyond a single machine while supporting the packages you’re already using.
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