If you are a non-technical person learning a technical subject or trying to understand a technical field such as Artificial Intelligence (AI), let me share a simple tip that will help you a lot. Don't let the complex-sounding technical terms confuse you. In due course, you will get comfortable with terminologies if you focus on first principles and try to get an intuitive understanding of the concepts. So, let's start with the basics and some working definitions. I've noticed the specific phrase "artificial intelligence and machine learning" and its shorthand AI/ML being used quite often.

Just as no one company can make a smartphone and all of its underlying components, no single company can claim to "solve AI." The human brain has various dimensions of intelligence, including creative intelligence, social intelligence, perception intelligence and emotional intelligence. Our applied AI approach revolves around creating an ecosystem of AI solutions that augment and simulate each of the major dimensions of human intelligence while also staying connected to each other through a system of intelligence.

If the recent, very public war of words between two of the world's most prominent technology CEOs, Elon Musk and Mark Zuckerberg, has taught us anything it's that the realm of artificial intelligence (AI) is still a highly contentious one. For the uninitiated, Musk made headlines recently when he publicly stated that AI, in his opinion, posed a significant threat and was in dire need of regulation, going so far as to call it a "fundamental risk to the existence of civilisation". Zuckerberg, meanwhile, called such warnings "pretty irresponsible", choosing instead to accentuate the benefits AI could provide in saving lives through medical diagnoses and driverless cars. Clearly, it's very easy for technologists to put AI into a box and wax lyrical about their vision of how it will impact humanity. The truth is that it's a far more nuanced debate than you might think – largely because AI can come in a number of shapes and sizes. To be clear, the form that is being discussed by Musk and Zuckerberg relates primarily to artificial intelligence that has'human level' cognitive skills, otherwise known as AGI or'Artificial General Intelligence', which despite impressive progress in a bunch of specialities (from driving cars to playing Go) is not close to imminent.

The use of artificial intelligence applications in business is growing, but AI and machine-learning aren't yet an efficient use for every business task, according to an infographic. Published by LatentView, a marketing automation and digital analytics platform, the infographic details what criteria make a task a good candidate for AI, and goes on to explain how to use AI in your business. For example, in marketing, decisions about personalized offers to customers may work well with AI, but decisions about marketing strategy are best left to the humans (at this point,anyway), the infographic says. In customer service, AI can learn to improve responses based on historical chat data, but decisions that are based on empathy still require human intervention. We will never sell or rent your email address to anyone.

The use of artificial intelligence applications in business is growing, but AI and machine-learning aren't yet an efficient use for every business task, according to an infographic. Published by LatentView, a marketing automation and digital analytics platform, the infographic details what criteria make a task a good candidate for AI, and goes on to explain how to use AI in your business. For example, in marketing, decisions about personalized offers to customers may work well with AI, but decisions about marketing strategy are best left to the humans (at this point,anyway), the infographic says. In customer service, AI can learn to improve responses based on historical chat data, but decisions that are based on empathy still require human intervention.