Dramatic success in machine learning has led to a torrent of Artificial Intelligence (AI) applications. Back in the 1950s, the fathers of the field Minsky and McCarthy , described artificial intelligence as any task performed by a program or a machine that, if a human carried out the same activity, we would say the human had to apply intelligence to accomplish the task.
For just as it may be possible to develop humanoids and androids with apparent sensitivity, a caring smile and learned skills, so a developer with a devious mind, or a hostile nation, might well put AI to all sorts of ulterior, or immensely threatening activities.
Healthcare technologies is IBM Watson It understands natural language and is capable of responding to questions asked of it. The system mines patient data and other available data sources to form a hypothesis, which it then presents with a confidence scoring schema.
The use of Artificial Intelligence was once thought of as a marketing technology that only larger businesses could use, but today,Â now even smaller businesses can apply publicly available algorithms or off the shelf machine learning servicesÂ toÂ generate useful insights and create prediction models based on their customer’s behaviours.
Is Artificial Intellgience Possible?
Humanitarian organizations focused on providing aid during emergencies are also turning to artificial intelligence to assist them in their mission. This type of machine intelligence is evident in the speech and language recognition of the Siri virtual assistant on the Apple iPhone, in the vision-recognition systems on self-driving cars, in the recommendation engines that suggest products you might like based on what you bought in the past.
Types of machine learning techniques include decision tree learning, ensemble learning, current-best-hypothesis learning, explanation-based learning, Inductive Logic Programming (ILP), Bayesian statistical learning, instance-based learning, reinforcement learning, and neural networks.
Financial firms are already deploying some relatively simple AI tools, such as intelligent process automation (IPA), which handles non-routine tasks and processes that require judgment and problem-solving to free employees to work on more valuable jobs.
Benefits & Risks Of Artificial Intelligence
Artificial Intelligence (AI) is a specialised branch of robotic control engineering applied to the human-machine interface. A noticeable difference has been seen in the roles of employees, after deployment of AI. More attention is given on managing and on implementing strategic initiatives and at the same time analytic tools automate and scale data to facilitate better decision-making.
As the business processes and operational conditions continuously change, the newly generated data and the continual changes in different business factors are reducing the level of precision and the value such algorithms can offer rendering them over time to be useless or even lead to dangerous decisions.
This phenomenon goes hand in hand with the fact that artificial intelligence has failed to deliver upon expectations from previous â€˜popularity waves’ (going back to the previous Millennium, see box below this article) and is really old as a concept, research field and set of technologies – making it less appealing for many vendors, …Read more