John

Artificial Intelligence or AI is what facilitates machines to learn from experiences, adapt to new inputs, and carry out tasks just like humans. From computers playing chess to self-driving cars, all are the most common examples of AI in our everyday lives, and these depend on deep learning and natural language processing massively. We can train computers using these technologies to perform specific tasks via data processing and pattern recognition successfully. The History of Artificial Intelligence The term ‘Artificial Intelligence’ originated back in 1956, but it has become more popular now than ever, and the credit goes to increased volumes of data, advanced algorithms, and upgrades in computing power and data storage. In the 1950s, the initial AI research analyzed subjects such as symbolic methods and problem-solving. During the 1960s, the United States Department of Defense liked this idea and started training computers to imitate basic human reasoning. And in 2003, the Defense A...

  The Digital Age has revolutionized everything – from thinking patterns to education, healthcare, jobs, entertainment…. all of it. Likewise, the whole collaboration process for innovation hasn’t really stayed immune to this technological advancement either. Just like Gen Y will never encounter a world without the internet and smartphones, businesses will never go back to a lesser state of connectivity. How’s that? That’s the beauty of open innovation. As they ponder their outsourcing decisions, businesses start by considering various factors – time, talent, money everything weighs in. However, when this decision takes place, the parameters dramatically multiply. In this hyperconnected fast-moving world that we live in, from consumers to suppliers and complementors to competitors and even governments, everyone has a stake in the outsourcing decisions and its probable consequences. Back in the 1970s, from the first partnerships in healthcare and IT to the present ecosystems of co-cr...