While AT&T is currently reaping the short-term benefits of employing SDN in its architecture, one of its long-term goals is adding artificial intelligence (AI) in order to predict subscribers' needs.
And AI may not be that far off, according to Mazin Gilbert, vice president of advanced technology at AT&T Labs . AT&T’s plan for AI includes combing big data analytics, deep diagnostic tools, software-defined networking and predictive capabilities to create an infrastructure that will react, and in some cases, anticipate subscribers' needs. (See AT&T's Gilbert: AI Is Very Real.)
"We recently announced our transformation to a software-defined network where we are writing the network as software and driving it on commodity cloud-based hardware," Gilbert said. "There was one piece of that transformation called ECOMP. We are embedding AI and machine learning as a platform in the core of ECOMP that is deployed all across our network. That means as we create applications, the technologies and the platforms already exist. You are simply writing a design."
Gilbert said there were three steps that play a key role in the journey that lead artificial intelligence. The first was building automated systems, the second was implementing automation and the third was hyper-automation that included advanced analytics and machine learning.
"The metaphor is playing a chess game," Gilbert said of the final step. "Your goal is to win the game. At any point you have to predict what step to take. But when you take a step the AI element is strategizing the next five moves. Even though I take only one step now, I am really thinking five steps ahead to win the game."
10/16/2017 Huawei Network Transformation SeminarThe adoption of virtualization technology and cloud architectures by telecom network operators is now well underway but there is still a long way to go before the transition to an era of Network Functions Cloudification (NFC) is complete.
In this Telco Transformation radio show, IHS Markit's Michael Howard will talk about the network domains that carriers are targeting for SDN, the top SDN services that are driving revenues and the deployment barriers this year. Howard will also address whether carriers are embracing open source or using vendor-specific implementations.
MEF is working to define, deliver, and certify dynamic communications services that are orchestrated across a global ecosystem of automated, virtualized and interconnected networks. In this radio show, MEF CTO Pascal Menezes talks about the challenges and the solutions that his organization is working on and provides a preview of the MEF17 conference in November.
Software-defined networking (SDN) is a key component of services providers' virtualization game plans and AT&T and Level 3 Communications have been at the forefront of its adoption.
In this webinar, Andrew Dugan, CTO of Level 3 Communications, and Amy Wheelus, Vice President of Cloud and D2 Platform Integration at AT&T, will discuss how their companies have leveraged SDN within their networks, services and applications. Some of the key areas that will be covered include:
Automation, APIs and lifecycle service orchestration
The continued evolution of SDN-based solutions and SDN in networks, including SD-WAN, dynamic cloud connections and scalable Ethernet and security solutions.