If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Analysts are not employed by SDxCentral and the views, thoughts, and opinions expressed in their content belong solely to the author and do not reflect the views of SDxCentral. Note: AvidThink is a separate organization, created by Roy Chua, that is not affiliated with SDxCentral. Coming off the craziness of MWC 2019 in Barcelona, Spain, with 5G, edge, artificial intelligence (AI), and yes, SD-WAN too, we at AvidThink were hoping for a change of landscape as we braved the halls of the recently upgraded Moscone Center in San Francisco. And to a certain extent, there was a refreshing change of pace: instead of the eight-plus halls, there were only two halls merged into one large indistinct blob thanks to Moscone's recent updates. And we were now in the land of malware, phishing, micro-segmentation, and security analytics – every aisle boasted one of these analytics companies.
One of the most attractive benefits to intent-based networking (IBN) is its ability to relieve the IT department of updating all networking devices to complete an over-arching business objective. IBN is defined as a self-driving network that automatically applies business intent to various network devices across a network without having to rely on command-line interface (CLI). Instead, the network administrator writes intent in plain language or via a graphical interface. In simple terms, IBN is about telling the software what the business intent is with the software automatically applying the intent across the network. IBN is achievable through orchestration and machine learning (ML).
Executives from the Taiwanese contract electronics company Foxconn made high-profile visits to the United States during the last few weeks. They announced a new company in Silicon Valley that will focus on artificial intelligence (AI). And Foxconn's founder joined President Donald Trump for a ground-breaking ceremony at a new factory in Wisconsin. Foxconn, also known as Hon Hai Precision Industry, is the world's largest contract maker of electronics. It operates factories across China and is most well-known for making phones and other devices for Apple.
In this interview, Priya Natarajan, senior director and head of worldwide go to market at Lenovo discusses the evolution of the data center and how artificial intelligence (AI) and machine learning (ML) are being used to streamline workloads and improve reliability. SDxCentral: Artificial intelligence (AI) and machine learning (ML) make it possible to automate some data center operations, but all this data that is collected can overwhelm networks. How does Lenovo see AI and ML impacting the data center? Priya Natarajan: Data center technologies are evolving rapidly to keep up with the growing volume of data. By observing patterns within the network, ML can be applied to understand the status of the network, identify bottlenecks and predict how it will react to future workloads.
AT&T and Tech Mahindra are sponsoring an open source competition that seeks innovative artificial intelligence (AI) solutions. The contest encourages participation from students, developers, and data scientists. The sponsors will work with the Linux Foundation to host the Acumos AI Challenge. The Linux Foundation already hosts the Acumos AI open source project that aims to build, share, and use AI applications. The Linux Foundation hosts Acumos AI under its LF Deep Learning Foundation.
Oracle today said that it will acquire DataScience.com Combined, end-users will have access to the data science platform capabilities while also being able to leverage Oracle's cloud infrastructure and use the machine learning tools alongside Oracle's Software-as-a-Service (SaaS) and Platform-as-a-Service (PaaS) offerings. It helps IT teams, primarily those working on artificial intelligence (AI) and data analytics, to coordinate work remotely. Members of these teams can share computing resources on its platform to build out data science workflows and other AI technologies. The data science tools on the platform are open sourced.
It's increasingly likely that the first publicly acknowledged, artificial intelligence (AI)-based network attack will occur in 2018. Administrators who recognize the potential effect of machine learning (ML) on the future of network and application security management are beginning to strengthen their understanding in this area. Vendors are also becoming more aware, simplifying observation tools to mitigate existing and future risk. In the age-old battle of good versus evil, the question now is: who will bring AI and ML to the fight first? Consider a dedicated hacker who intends to breach a corporate environment.
SK Telecom is considered one of most progressive operators when it comes to 5G development. Last year Juniper Research ranked the operator No. 1 on its list of "most promising" 5G operators for its extensive time in development; the breadth and value of the operators' 5G partnerships; and its progress in 5G network testing. So it is not particularly surprising that the South Korean operator is already working on ways to use artificial intelligence (AI) to make its 5G network more efficient. The company realizes without AI there will be a lot manual operations necessary to constantly change the network parameters and settings and to adjust capacity. "We want to talk about how to efficiently operate 5G infrastructure using AI," said Haesung Park, senior manager of the ICT R&D Center, network technology R&D center, access network lab at SK Telecom. Park will be speaking at the New Horizons Symposium in Austin, Texas, May 16-17.
GE Digital believes that edge computing will play a key role in the industrial Internet of Things (IoT), and that's why the company announced last October that it was expanding its Predix industrial IoT platform's capabilities to better handle computing at the network's edge. But how exactly is the company accomplishing this?