Five lessons telecom operators can learn from e-commerce
E-commerce has used data since the 1990s to know its customers. Five lessons for telecom operators, from understanding end users to recommendation tools.
Blog
Telecom operators and their big data gold mine
Storing data has become cheap. Three reasons for telecom operators to use theirs: understanding the past, seeing patterns evolve, and forecasting.
Deep learning: hype and value for industry
What deep learning is, why it draws so much interest, and what it is actually good for in industry.
IBC 2016 recognition for Ezako
At IBC 2016, Ezako’s predictive algorithm was recognised among the show’s Future Business Opportunities.
An introduction to neural networks
What a neural network is, how a single neuron works, where the learning happens, and the main families of networks.
How neural networks help forecast the future
From exchange rates to electricity demand, neural networks have long been used to forecast: how they model a series, and what it takes to make them work.
Optimising container placement
More than 80% of the goods exchanged in the world travel by sea. Placing containers well means moving them less: what optimisation brings.
Big data use cases, part two
A second series of unexpected uses of data, starting with the protection of bee colonies.
Zero downtime: is it really possible?
Every stop costs a business. What downtime really costs, and how close to zero it can be brought.
The five main challenges of telecom operators
The five challenges telecom operators faced in 2016, by Bora Kizil.
Raspberry Pi 3: 50% faster
The Raspberry Pi 3 is 50% faster than its predecessor and has built-in wireless, for $35.