Constructing a network security defense ad hoc, that is one product at a time as the need presents itself creates weak links in the overall strategy, weak links that can easily be broken. With multiple attack vectors and malware constantly increasing in volume and sophistication, what is needed is a comprehensive strategy that can eliminate the weak links and evolve as the threat landscape evolves. This solution guide explores the myths and issues surrounding Advanced Persistent Threats (APTs) and how the right solution can offer the necessary protection against APTs and other targeted attacks.
“AWS is now the basic layer of compute services,” said Hunt. Netflix is not just heavily reliant on AWS — it’s about to become completely dependent. Hunt plans to power down his company’s last data center this year, at which point Netflix will be running almost entirely on outsourced cloud infrastructures, mostly operated by Amazon. (It’ll still run its own content delivery network — CDN.) Note that this timeline is new. Netflix originally said it would shut down its last datacenter in 2014, and then again this past summer, but the future sometimes comes a little slower than expected. That’s one aspect of enterprise infrastructure that will probably never change.
Organizations should come to expect that one way a good Data Scientist will often demonstrate his or her ability is by reframing or redefining the problem put before them by the company. The first few times this may seem off-putting, but organizations who learn to embrace this sort of transformation of the business problem will be able to compete for the future. Practically speaking this may look like shifting to "medical device retention" rather than "patient retention" when targeting patient retention delivers results too late to affect the outcome. As a business concerned with the ROI from your Data Science investment, you will undoubtedly want to see activities of the Data Scientist which specify criteria for model assessment.
V2I technology also has security at its core (traffic lights, pollution levels, hazards, emergency services). But, on the top of that, V2I is more aimed at traffic flow, re-routing, fuel consumption, parking, WIFI, charging spots for electric cars on the move, conform to Dr. Joachim Taiber, research professor at Clemson University. Starting 2020, V2X (Vehicle to Everything) and its constituents, V2P (vehicle to pedestrians), V2V and V2I technology, will take an active role in semi-autonomous cars. The system at the moment is configured to avoid collision impacts by literally taking over the steering wheel and the accelerator, pushing against the driver’s foot and slowing the vehicle if needed.
An exciting technology in this space is the 3D box bounding capabilities of Intel RealSense technology. For those who need a little brushing up on their geometry, box bounding defines the outer limits of the physical space utilized by an object. This is helpful information to have at your fingertips for packing efficiency and it’s something you can now map out in real-time with Intel RealSense. Companies across the supply chain are also beginning to see first-hand how they can use Intel RealSense technology to quickly calculate dimensional weight for shipping and to improve load planning.
It was long believed that while computers and robots are capable of peak technical performance, they are often unable to perform simple motor tasks. Austrian Hans Moravec already described this paradox of robotics in the 1980s. But the two authors visited a number of new companies that are working on overcoming the “Moravec paradox.” It would be a breakthrough for industrial automation if they succeeded. Recently, entrepreneurs achieved a breakthrough in combating the Moravec paradox. The revolutionary advances in robotics are the one, fascinating side of the digital revolution in industry. But as Austrian national economist Joseph Schumpeter said, innovation is usually a process of creative destruction. The destructive nature of the digital revolution is reflected in other industrial sectors, such as the photo and music industry.
An SDN architecture provides an intelligent central console that decouples the network control plane from the forwarding plane. This enables carriers to meet two critical business objectives: to create more valuable services by leveraging network-wide intelligence and to automate manually intensive tasks like provisioning, operating and troubleshooting hardware-intensive networks. An SDN network can also automatically respond to changes in network behavior. This enables a learning network where carriers can now better harness the plethora of data they have to improve performance and customize service offerings in ways that would have been impossible to do manually. This is how network security can become an automated process based on best-fit policies for a carrier’s network.
Being locked in to a provider is risky. Firms can start to tighten the screws by increasing prices. If a cloud provider goes bust, its customers may have trouble retrieving their data. These risks have already triggered a debate about whether the cloud needs stricter regulation. Some European politicians want to force cloud providers to ensure that data can be moved between them. That is too heavy-handed, not least because rigid rules will inhibit innovation in what is still a young industry. The history of computing suggests that common standards may well emerge naturally in response to customers’ demands—just as in personal computers, where it is now much easier to use the same files on different systems.
With IoT data, the transmission problem is inverted, Alexander said. He described IoT data as small, frequent and plentiful (Gartner predicts there will be 25 billion connected devices by 2020). Rather than amplify out large content files, such as software upgrades, CIOs will need to funnel the bits and bytes of IoT data in. But transmitting data in a one-to-one ratio from the device to a data center can be inefficient and create chokepoints in the network. IoT data, in other words, needs to be processed en route. "A lot of architectures and networks haven't been built to do that," Alexander said during a panel discussion. That's where the edge network comes in handy. Akamai is now using its edge as an intermediary location to collect, thin and even normalize IoT data before moving it on to a centralized data center.
Quote for the day:
"Perseverance is the hard work you do after you get tired of doing the hard work you already did." -- Newt Gingrich