Optimal Monitoring and its ground-breaking artificial intelligence energy management solution, EMMA AI, has won the Wright Commission Award as voted by the Retail Energy Forum.
They discussed using AI on improving grid resilience, increasing energy exploration and environmental sustainability
In this case, a question of great interest will be: how will these AI systems interact with their end users in the energy management field?
Nobody wants to fail but often the fear of failure can get in the way of success. So how do you break the ‘better to do nothing than fail’ barrier?
Well first things first, there is one. The entire history of technology development has been one of net job creation not destruction. The emergence of AI as the baseline form of computing in the years ahead will create more jobs than it will destroy.
Since the definition of “artificial intelligence” (AI) was given by John McCarthy in the 1950s, the future of AI has long been a question of great interest in a wide range of fields.
Not with a carrot or a stick. The best new tech sneaks up on you, and before you know it you cannot even remember life without it. When we talk about AI, we paint it as disruptive, it is, but this doesn’t mean it is destructive.
Artificial Intelligence, AI is a new form of computing in which the system is pre-programmed with logic that allows it to mimic the way that humans learn and perform cognitive functions. We see it now as speech recognition, optical character recognition and increasingly pattern recognition and early forms of logical reasoning.
They say the oil and gas industry produces 2.5 quintillion bytes of data every day but only 1% of this is analysed, which they believe is a ‘missed opportunity’
Artificial Intelligence (AI) is currently perceived in many ways. Some believe the Hollywood view of the self-aware, fully thinking autonomous entity, that will take over the world. Others that is no more than a complex, rules-based search engine that clever programmers have disguised as your new friend. They’re both wrong.