BROWSING: ML

How 5G will Transform the Workforce With Kevin Shatzkamer

Listen to the podcast here: Talk about 5G is everywhere. But usually the conversation is about the challenges of building the network. Or it’s about the faster speeds, lower latency, and better devices. But thinking about 5G as “just another access technology” is a mistake. As...

Editorial Report: AI and IoT at the cutting edge – when to move industrial intelligence closer to the action

Operational intelligence does not come just by connecting machines; it requires advanced analytics to sort the data and recommend a course of action. Many critical use cases at the edge can’t wait for the cloud. Instead, they demand insights and decisioning at the source,...

Does machine learning for cybersecurity live up to the hype?

Trying to keep intruders out of your network is like trying to keep vermin out of a house in a bad neighborhood. The rodents and insects never stop trying to get in, and the best you can do is slow them down, minimize the...

What’s the difference between artificial intelligence and machine learning?

There are two classes of artificial intelligence (AI): general (aka strong or full) and applied (aka narrow or weak). Applied is designed to handle specific tasks and is much more common than general, which attempts to be intelligent in the way one would think...

Eight crucial technologies to drive the digital revolution in smart manufacturing

The move to a ‘lights-out’ factory has already begun, but the developing transition requires an overhaul of industrial facilities, equipment, systems and people if it is to go the distance. Transformation of the manufacturing industry, or ‘vertical’ in service-provider parlance, must also make way...

AI in telecoms: practical advice and next-steps for carriers deploying AI

The hype surrounding the potentially transformative impact of artificial intelligence (AI) and machine learning (ML) on the telecoms industry is impossible to ignore. AI was the talk of the town at Mobile World Congress in Barcelona, again, at the end of last month, as...

AI in telecoms: why carrier SON progress is not faster (clue: it’s not the tech)

Artificial intelligence (AI) is a crucial sub-text in the evolution of LTE and IoT networks. The deployment of AI-driven applications among the carrier community is limited so far. “We are at the beginning,” says Luc Bretones, executive vice president of the France-based Orange’s Technocentre...

AI in telecoms: categorizing AI applications in network operations

The categorization of artificial intelligence (AI) in telecoms can be cut any number of ways. Spanish telecoms group Telefónica identifies four business needs: in business optimization, market insights, customer engagement, and business innovation. Francisco José Montalvo, director of its ‘fourth platform’ business, says these...

AI in telecoms: why 5G and IoT won’t work for carriers without AI

The telecoms industry is heavily invested the development of artificial intelligence (AI) and machine learning (ML) based technologies. “The telecoms network is the basis for the outbreak of AI, and AI will greatly enhance the telecoms network,” comments Zhang Sihong, chief engineer of AI...