Processing Data at the Edge of the Edge: Reimagining Possibilities
How well do you know your organisation’s edge? Better yet, how far away is your data from it?
Well for one organisation, NASA, that answer is probably a longer distance than others. This is why HPE and NASA collaborated to put a commercial, off-the-shelf (COTS) supercomputer aboard the International Space Station (ISS). The ultimate goal? To prove the technology’s ability to operate in the harsh conditions of space while performing data centre level compute processing at the edge.
Watch this session featuring the project lead Mark R. Fernandez (US), as we shine a light on this exciting project and the learnings which all enterprises can take with regards to edge IT.
Mark R. Fernandez, Ph.D
Hewlett Packard Enterprise
Hewlett Packard Enterprise is the global edge-to-cloud Platform-as-a-Service company that helps organisations accelerate outcomes by unlocking value from all of their data, everywhere. At HPE, we advance the way you live and work by engineering experiences that unlock your full potential.
Data, AI, BI & ML
Artificial Intelligence and Machine Learning are the terms of computer science. Artificial Intelligence : The word Artificial Intelligence comprises of two words “Artificial” and “Intelligence”. Artificial refers to something which is made by human or non natural thing and Intelligence means ability to understand or think. There is a misconception that Artificial Intelligence is a system, but it is not a system. AI is implemented in the system. There can be so many definition of AI, one definition can be “It is the study of how to train the computers so that computers can do things which at present human can do better.” Therefore it is an intelligence where we want to add all the capabilities to machine that human contain. Machine Learning : Machine Learning is the learning in which machine can learn by its own without being explicitly programmed. It is an application of AI that provide system the ability to automatically learn and improve from experience. Here we can generate a program by integrating input and output of that program. One of the simple definition of the Machine Learning is “Machine Learning is said to learn from experience E w.r.t some class of task T and a performance measure P if learners performance at the task in the class as measured by P improves with experiences.”