Artificial Intelligence

artificial intelligence

Artificial intelligence (AI) will bring order to a world in which by 2020, 50 billion connected devices are expected to come online, all generating an unprecedented volume of data. How will we stay afloat in this flood of data? AI is throwing us a collective life raft, in the form of algorithms capable of parsing a huge quantity of information that would otherwise be lost.

Combined with ultra-high speed networks and quantum computing, AI will deliver tremendous benefits to society, improving the economy and quality of life. As AI takes center stage in breakthrough areas such as self-driving cars and medical treatments, not to mention smart communities, ensuring the responsible use of networks will be essential. This is where the information and communications technology (ICT) industry will play a major role.

AI is poised to help telecom carriers deliver the “fourth industrial revolution.” By allowing networks to respond to constantly evolving conditions, AI will help operators maximize the potential of 5G and IoT networks. Together with software defined networks (SDN) and network functions virtualization (NFV), AI will enable digital transformation. Already, AI is helping diagnose up to 70 percent of network faults before an incident occurs. SDN and NFV will allow networks to carry much more and diverse traffic, and will give providers the ability to collaborate to offer more sophisticated services, bundles of services and mashups. This will allow customers and operators to interact with the network in entirely new ways.

However, SDN and NFV present a management adaptation challenge, because people will be unable to understand such a large and complex system. This is where AI comes into play. Self-optimizing network (SON) technology, for example, is advancing management, optimization and healing of mobile radio access networks.

In addition to transforming networks themselves, AI and machine learning advances will radically change the usage of telecom networks. Advances in smart buildings and self-driving cars will hinge on analytics drawn from data in videos. Video traffic is expected to represent 80 percent of all internet traffic in 2019, presenting both challenges and opportunities for the telecom industry.

Telecom companies will need to meet the growing demand for more video and at a higher quality. Fortunately, as AI introduces challenges, it also offers solutions. To accommodate the video demands brought about by AI, telecom firms will need to implement AI and machine learning to optimize and automate their networks. Network management requires products that help manage the systems themselves.

The Real Deal About AI in Network Virtualization

How is AI changing the way networks are being designed for technologies like IoT, AR/VR, autonomous vehicles and swarm data? What are the characteristics of the AI-enabling network of tomorrow? Miguel Villarreal, CEO of Villa-Tech shares his perspectives on the role of AI in network virtualization.

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Fan Out! Creating Immersive Experiences in Smart Stadiums

Enhancing the experience of sports fans is high on the list for developers of 5G. How will fans get an immersive experience? What role will AI play in giving fans a reason to cheer? Jonathan Levine, Managing Director of Business Development at Intel Sports, Emili Planas, CTO of MediaPro and Jason Elliott, 5G Market Development…

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Fujitsu and its 5G Future

How do you build a flexible digital platform that's open to co-creation, yet secure? Rod Naphan, CTO of Fujitsu Network Communications, shows us the company’s latest global digital solutions, platforms and services that prepare them for the digital transformation of the 5G future.

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Getting Real About AI in Virtual Networks

How will network transformation impact advances in AI? Is the industry prepared or unprepared to take on these challenges? TIA NOW speaks with Arpit Joshipura, GM of Networking and Orchestration at the Linux Foundation and Manish Vyas, President of Communications Business & Chief Executive of Network Services at Tech Mahindra about preparing virtual networks for…

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Supporting 5G: The Evolving Service Environment

Analysts from IDC including spoke with TIA NOW about the tough issues that the communications technology industry is currently tackling, which were covered at the TIA Connectivity Jam in Dallas, TX. These issues span from data management, edge computing, connected devices, network benchmarking and artificial intelligence.

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AI: The Next Iteration of Predictive Analytics?

The big data and data science revolution is upon us as firms are currently spending an estimated $36 billion on storage and infrastructure, that will double the data mining sector by 2020. Here with us in the TIA NOW studio to talk about predictive analytics is Richard Boire, SVP of Environics Analytics.

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Artificial Intelligence: AI’s Role is Getting Bigger

Betty Manetta, President and CEO of Argent Associates, spoke with TIA NOW about how artificial intelligence plays a big role in fraud detection and predictive analytics. Manetta talks further about the importance of finding your role in the always changing and burgeoning technology ecosystem.

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Driving Towards Data Science and Machine Learning

Ned Taleb, CEO at Nexius spoke with Abe Nejad about the move towards real world applications and the importance of network enablement of machine learning and data science. Taleb talks further about intelligent networks and how they support AR/VR and AI.

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Verizon Launches Platform to Support Global Carriers

Brian Higgins, VP and GM of Exponent, a Verizon company, talks to TIA NOW from MWC 2017 about their new initiative to help carriers around the world get quicker to market and become more robust with the biggest issues facing them: Big Data, AI, IoT, Media Services and more.

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AI for IoT: Using Intelligence in Augmented Reality and Virtual Reality

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