Unraveling Artificial Intelligence for the Non-Geeks -- The Non-Technical Insight

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Artificial Intelligence has been spreading its wings since 1950s but has been increasingly hogging limelight in recent times. Leaders of the world's most influential technology firms including Amazon, Facebook, Microsoft, Google are emphasizing their enthusiasm for Artificial Intelligence (AI) and its applicability. AI has become more popular today thanks to increased data volumes, advanced algorithms, and improvements in computing power and storage. Artificial intelligence is poised to have a huge impact in automating business processes including streamlining efficiency and anticipating barriers to growth. There is growing interest in AI, ML and DL, and the field is getting immense popularity amongst classes and masses.


Enpointer: Open Source Integrated DevOps Platform

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Artificial intelligence is a latest buzzword in the technology industry. Suddenly all the startups and companies who operate in technology field are claiming to use artificial intelligence or machine learning in one way or the other to solve their customer's problems. But like all other buzzwords, is artificial intelligence also just a hype cycle which will fizzle. Artificial intelligence specifically is notoriously famous for reaching a crescendo of hype every decade and then going through a period of non activity and non investment which is known as the AI winter. So first of all let's try to understand what exactly is artificial intelligence.


Artificial Intelligence Decoded - Great Learning

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APIs, or application processing interfaces, are packages of code critical to AI functionality in products and software. They can add more value to AI capabilities with descriptions, and call outs. The future of AI is marked with a race against time, as man strives to make machines more intelligent than humans! What was a fascinating aspect of science fiction has now become the most powerful technology disruptive everyday processes in industries and businesses, and human touchpoints? With continuous breakthroughs in AI research, across domains and use cases, AI is being implemented by one company after another, at a breakneck speed. Thus, AI is based on several disciplines that contribute to intelligent systems – mathematics, biology, logic/philosophy, psychology, linguistic, computer science, and engineering. You need to have a certain level of expertise in math, probability, statistics, algebra, calculus, logic, and algorithms.


Artificial Intelligence: From Science Fiction to Alexa - Appian Blog

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For science fiction fans like me, Artificial Intelligence (AI) has always fired up the imagination. As a field of study, AI has been a part of academia since the mid-1950s. Since then, AI has been hyped as the key to our civilization's future, and panned as nothing more than entertainment for nerds. Over the past few years though, AI has started to gain real traction. A lot of this has to do with the availability of powerful, cheaper and faster computing capability, the emergence of the Internet of Things, and the explosion of data generated as images, text, messages, documents, transactions, mapping and other data.


Becoming (artificially) More Intelligent – DKdL – Medium

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At DKdL (Die Krieger des Lichts, part of the fischerAppelt group) we have decided to take a novel and holistic approach to developing intelligent data-driven concepts and products. We call this approach "human centered AI", where AI stands for artificial intelligence. Our approach integrates the research & development (R&D) needed to develop AI systems into a human centered design process. In simple words, we understand that the intelligent products (that is, products that use AI at their core) we develop are designed to be used by humans in a way that adds value to their daily experiences. Therefore, we start by understanding the people who are going to use the product and the needs it is intended to meet. We then keep those needs at the focus of our considerations throughout the entire development process and the design iterations.