AUTOMATION INTELLIGENCE AND MACHINE LEARNING

Artificial Intelligence is a technique for building systems that mimic human behavior or decision-making and Machine Learning is a subset of AI that uses data to solve tasks.

How we work at AI and ML

Before examining how artificial intelligence technologies are impacting the business world, it's important to define the term. "Artificial intelligence" is a broad and general term that refers to any type of computer software that engages in humanlike activities, including learning, planning and problem-solving. Calling specific applications "artificial intelligence" is like calling a 2013 Honda Accord a "vehicle" – it's technically correct, but it doesn't cover any of the specifics. To understand what type of artificial intelligence is predominant in business, we have to dig deeper.

Machine learning is one of the most common types of artificial intelligence in development for business purposes today. Machine learning is primarily used to process large amounts of data quickly. These types of artificial intelligence are algorithms that appear to "learn" over time, getting better at what they do the more often they do it. Feed a machine learning algorithm more data and its modeling should improve. Machine learning is useful for putting vast troves of data – increasingly captured by connected devices and the internet of things – into a digestible context for humans.

Ques ?

So how , might artificial intelligence be used in the future? It's hard to say how the technology will develop, but most experts see those "commonsense" tasks becoming even easier for computers to process. That means robots will become extremely useful in day-to-day life.

"AI is starting to make what was once considered impossible possible, like driverless cars," said Russell Glenister, CEO and founder of Curation Zone. "Driverless cars are only a reality because of access to training data and fast GPUs, which are both key enablers. To train driverless cars, an enormous amount of accurate data is required, and speed is key to undertake the training. Five years ago, the processors were too slow, but the introduction of GPUs made it all possible."