Oracle leverages machine learning to manage, secure enterprise systems

Oracle is not the first company that comes to mind when you think of enterprise security, but the company announced at its recent OpenWorld conference new products with artificial intelligence (AI) and machine learning capabilities to quickly identify security threats.The company introduced two new sets of integrated suites called Oracle Identity Security Operations Center (SOC) and Oracle Management Cloud. It claims they will help enterprises forecast, reduce, detect and resolve cybersecurity threats in minutes rather than days and assist remediation of application and infrastructure performance issues.It makes sense for Oracle to jump into this field even if it is full of established players like Symantec, Sophos, Tripwire and far more. Since Oracle’s databases are often a target of hacker attacks, who better to secure an Oracle database than Oracle? To read this article in full or to leave a comment, please click here

Oracle leverages machine learning to manage, secure enterprise systems

Oracle is not the first company that comes to mind when you think of enterprise security, but the company announced at its recent OpenWorld conference new products with artificial intelligence (AI) and machine learning capabilities to quickly identify security threats.The company introduced two new sets of integrated suites called Oracle Identity Security Operations Center (SOC) and Oracle Management Cloud. It claims they will help enterprises forecast, reduce, detect and resolve cybersecurity threats in minutes rather than days and assist remediation of application and infrastructure performance issues.It makes sense for Oracle to jump into this field even if it is full of established players like Symantec, Sophos, Tripwire and far more. Since Oracle’s databases are often a target of hacker attacks, who better to secure an Oracle database than Oracle? To read this article in full or to leave a comment, please click here

Applied Networking Research Prize: Winners Announced, Nominations for 2018 Now Open

As we rapidly approach the last Internet Engineering Task Force meeting for the year, we’re pleased to report that the final winners of the Applied Networking Research Prize (ANRP) for 2017 have been announced.

The ANRP awards for IETF 100 go to:

Paul Emmerich for developing the high-speed packet generator MoonGen.
Paul Emmerich, Sebastian Gallenmüller, Daniel Raumer, Florian Wohlfart, and Georg Carle, “MoonGen: A Scriptable High-Speed Packet Generator,” in Internet Measurement Conference (IMC) 2015, Tokyo, Japan, Oct. 2015.

Roland van Rijswijk-Deij for analysing the impact of elliptic curve cryptography on DNSSEC validation performance.
Roland van Rijswijk-Deij, Kaspar Hageman, Anna Sperotto and Aiko Pras, “The Performance Impact of Elliptic Curve Cryptography on DNSSEC Validation,” in IEEE/ACM Transactions on Networking, Volume 25, Issue 2, April 2017.

For the 2017 award period of the ANRP, 39 eligible nominations were received. Each submission was reviewed by several members of the selection committee according to a diverse set of criteria, including scientific excellence and substance, timeliness, relevance, and potential impact on the Internet. Based on this review, six submissions were awarded an Applied Networking Research Prize in 2017.

Paul and Roland will present their work at the IRTF Open Meeting during IETF 100 in Singapore. Continue reading

Public Cloud Doesn’t Dominate IT Quite Yet

Everyone in the IT industry likes drama, and we here at The Next Platform are no different. But it is also important as the industry in undergoing gut-wrenching transformations, as it has been for five decades now and will probably do so for a decade or two more, to keep some perspective. While the public cloud is certainly an exciting part of the IT market, it hasn’t taken over the world even if it has become the dominant metaphor that all kinds of IT – public, private, and hybrid – aspired to mimic.

That’s something, and it is important. But …

Public Cloud Doesn’t Dominate IT Quite Yet was written by Timothy Prickett Morgan at The Next Platform.

Network Automation Engineer Persona: Part Two

This article is number two in a series. The first part can be found here.

There has been a thought trend in the last few years leading network engineers to think they need to be developers. This is totally nonsense. When we want to learn a new skill, there is a precursor which says “I want to do X, so therefore I need to learn about what X”. If you’re thinking “I should be learning Python”, I ask to what goal? What is making you ask this question? Maybe the question should be, for a network automation engineer role, what skills do I need to learn? Stop guessing!

The Network Automation Engineer role combines deep network knowledge, with the ability to describe, collect and transmit domain specific data through one or more abstraction layer type components. It requires knowledge of how to collect data from databases and data-stores of various types. Where does a list of IP addresses get stored? How are they stored? How are they retrieved? The role requires an awareness of the cause for making a change and the implication of making them. Gaining the skills to become this persona isn’t a full career change, but a Continue reading

The future of self-driving cars: New tech advances possibilities

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.The quest for the fully autonomous car has been somewhat of a “holy grail” and one of the best examples of what’s possible when discussing advanced technologies such as machine learning, artificial intelligence (AI), and the Internet of Things (IoT).To read this article in full or to leave a comment, please click here

The future of self-driving cars: New tech advances possibilities

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.The quest for the fully autonomous car has been somewhat of a “holy grail” and one of the best examples of what’s possible when discussing advanced technologies such as machine learning, artificial intelligence (AI), and the Internet of Things (IoT).To read this article in full or to leave a comment, please click here

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  • .NET developers dealing with Errors in Production: You know the pain of troubleshooting errors with limited time, limited information, and limited tools. Managers want to know what’s wrong right away, users don’t want to provide Continue reading

Large-scale IoT use doubles, generates revenue for companies

Over a half of worldwide Internet of Things (IoT) adopters say they’re making money out of the technology, according to a new report from Vodafone. Hiked revenue and a burgeoning return on investment (ROI) is becoming widespread, the telecommunications company says.In Vodafone's fifth annual IoT report, the company says the share of companies with over 50,000 devices has doubled in the past year and that 51 percent of adopters are experiencing “increasing revenues and [IoT is] opening up new revenue streams.”In the Americas, that jumps to a whopping 64 percent that are seeing significant action.To read this article in full or to leave a comment, please click here

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