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AI World Conference & Expo · Boston, MA · December 11-13, 2017

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‘From: Network World’

The Cisco-Google hybrid cloud solution can help businesses connect on-premises data centers to Google Cloud Platform.

There should be no question that for most organizations, hybrid clouds are the way of the future. My research shows that over 80 percent of organizations either use or plant to use a hybrid cloud strategy, so it’s coming and coming fast.

However, the path to hybrid clouds won’t be the same for all companies. Some will be aggressive and migrate to a cloud-native strategy today. Others will be more conservative and will “lift and shift” a few applications at a time before rewriting them. There’s no right answer when it comes to creating a hybrid cloud world; the key is to get there.

Device Layer provides the health status of network devices, enabling network operations teams to deliver better application and service performance.

Understanding user experience is becoming critically important to the success of all companies. I’ve interviewed dozens of business leaders on their digital transformation initiatives, and I can sort them into two larger buckets: increasing workforce productivity and improving customer experience.

Those may seem somewhat unrelated, other than they used digital technologies, but there is another point of commonality and it’s that applications play a key role.

Network engineers can use AppDynamics to quickly diagnose the cause of poor application performance. And if the network is the problem, use the tool to resolve it faster.

Earlier this year, Cisco surprised many industry watchers when it forked out a cool $3.7 billion to acquire AppDynamics, which was about 2x the valuation it had going into its IPO. Most people know Cisco as the de facto standard and market leader in networking. AppDynamics lives higher up the stack and provides a view into how applications are performing by collecting data from users, applications, databases and servers.

Cisco announced two services that use AI to address critical issues, freeing up IT professionals to learn new skills, modernize the infrastructure and drive innovation.

The drive to digital transformation is causing the world to move faster than ever. And it seems businesses are experiencing a huge case of “fear of missing out” (FOMO) and adopting new technologies at a dizzying pace.

A few years ago, only a few companies had invested in the Internet of Things (IoT), software-defined networking (SDN), cloud services and DevOps. Today, they’re rapidly becoming the norm, and it’s difficult, if not impossible, for IT to maintain the current environment.

The latest release of Cisco’s intent-based networking solution, ACI 3.0, increases network automation, simplifies operational tasks and makes it easier to secure agile workloads.

A decade ago, one of the big knocks on Cisco was that its products were difficult to deploy and often even harder to manage. Over the past few years, though, particularly since Chuck Robbins took the helm as CEO, the company has been laser focused on making its products simpler to operate.

It’s important to understand that making products easy to use is actually much more difficult than those that are hard to use. As an example, Cisco’s network-intuitive, intent-based networking solution enables the operations for the campus network to be fully automate, dramatically cutting the operational overhead required by network engineers.

Aryaka study finds that SD-WAN performs well over short hops, but private WAN performs far better over the longest distances.

The rise of SD-WANs has raised an interesting debate. Is the internet good enough to replace a private network for an enterprise WAN?

A decade ago, no one would have even considered this, but broadband speeds have increased and more things have moved to the cloud. Also, SD-WAN technology allows for dynamic path selection, which protects the WAN from outages so companies can use multiple broadband connections instead of something like MPLS.

Nvidia’s two announcements — a test fleet of autonomous delivery vehicles and the DRIVE PX AI platform — bring us closer to having self-driving cars.

Over the past few weeks, Nvidia has been holding a series of regional GPU Technology Conferences (GTC) in different parts of the globe. In September, Nvidia showed off its new Tensor3 GPU made for artificial intelligence (AI) inferencing in China. This week, the company took its show to Munich to host GTC Europe where it made a couple of announcements in the advancements of self-driving vehicles.



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