TensorGo

The role of Machine Learning (ML) in business is an interesting topic. ML provides a powerful tool set for understanding data, but that is not enough. A fundamental tenet of strategy is differentiation, or finding a sustainable competitive advantage. We shall try to clarify basic alternatives below. Suunto dive computers use mathematical model for nitrogen saturation of human body. For deep dives or challenging conditions, using multiple computers provides safety. Exclusive access to data This is the most talked about approach at the moment: a company has exclusive access to data and performs value adding operations in them. In the simplest case, the data in question are related to normal operations of the company, and may be Customer Relationship Management (CRM) data or enterprise business data, for example. Machine learning can be used to automate business processes using data. A second type of exclusive data relates to a service product the company is offering. It may b

In this posting, we'll explore why latency matters. We shall proceed to explain why edge cloud architectures such as Multi-access Edge Computing (MEC) are important enablers for low latency and why that matters. Mobile data Not so long ago, this explanation would have been based on personal computers. Nowadays, folks use mostly handsets so let's talk about mobile data. I have been using mobile data all the way from circuit-switched (CS) data in GSM to GPRS/EDGE to UMTS to LTE. The first data-enabled device was the legendary Nokia Communicator, complete with tiny keyboard and e-mail application. At the moment I'm using Nokia 6 for work and iPhone 8 for personal use. Things have gotten better quite a bit better during the last twenty years. The most obvious improvement for laypersons is the impressive reduction in the delay with which content is opened in the handset. It is affected by both an improvement in the processing capacity of the handset and the data transfe