There’s been so much hype in recent months around opportunities in artificial intelligence that it’s starting to feel a bit like a second gold rush. Thinking of joining or investing in an AI startup? Here are 5 questions that cut through the noise
Machine learning is a reality that we are just waking up to. The eventual evolution of machine learning is predictive automation. Predictive automation might be a reality in the next couple of years itself. If IoT is the destination then we are on the right track.
The artificial intelligence field is rapidly changing and maturing. The field is well-suited for candidates that are interested in computers, think analytically and enjoy reading and learning about the latest technological developments. Artificial intelligence specialists work with massive amounts of information, so analytical thinking is especially important for success in the field. In the future, artificial intelligence specialists will automate not only minute task, but entire business processes. Tomorrow’s AI leaders will man the helm of change initiatives designed to make better use of existing enterprise benchmarks, metrics and data stores.
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Ready to learn Data Analytics? Browse courses like Big Data Analyst developed by industry thought leaders and Experfy in Harvard Innovation Lab. On a recent trip to New York City, I found myself with only 30 minutes to travel 2 miles between meetings. In the rain. In the past, this would have meant getting soaked while I
Few industries are as primed to be radically improved by Machine Learning as the Telecoms industry. About 1.5 trillion U.S. dollars is forecast to be spent globally on telecom services in 2018.
Machine Learning (ML) has given a whole new meaning to data. It has, in all true sense, completely transformed the way we look at data and information. It can indeed be a game changer and be very useful in proving very useful insights that can prove to be very critical for many businesses.
Ready to learn Cyber Security? Browse courses like Cyber Security for the IoT developed by industry thought leaders and Experfy in Harvard Innovation Lab. There was a time when artificial intelligence was a faraway dream, a fiction of sorts. It was thought of vividly as part of a prosperous future, but that is the case no more. Artificial intelligence is now
Ready to learn more about emerging technology applications in Healthcare? Browse courses developed by industry thought leaders and Experfy in Harvard Innovation Lab. “Everything we love about civilization is a product of intelligence, so amplifying our human intelligence with artificial intelligence has the potential of helping civilization flourish like never before – as long as we manage
The rapid growth of Machine Learning and Artificial Intelligence applications is not only in the software domain. As the use of sensors in industrial applications becomes more mainstream, the large amount of data gathered can be used to train algorithms. This, in turn, results in rapid increases in efficiency.
In this article, chemical engineer and researcher Hermes Ribeiro Sant Anna gives an overview of how Machine Learning and Artificial Intelligence are used in industrial production facilities.
Forecasting demand for electricity is of immense importance both for researchers and for industry experts. By accurately forecasting demand, power suppliers can prevent overloads, and can operate more efficiently with a higher profit margin.
A Predictive-Descriptive Artificial Intelligence-based expert computer system predicts a Democratic landslide victory in the race for the White House in 2016.
Machine learning is becoming a ubiquitous characteristic in all industries. As the world makes this transition, we explore the role of services, the applications of open algorithms, and the creation of IP in developing data products for diverse markets.
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