Machine learning has been a constant on tech trend lists for years. This year, it's time to embrace what humans can learn by interacting with machine learning. As Google's head of Machine Intelligence, Blaise Aguera y Arcas noted in a recent Medium article: "Machine intelligence will expand our understanding of both external reality and our perceptual and cognitive processes." In the spring of 2016, Google's AlphaGo software, fueled by machine learning, beat the world's greatest human Go player, Lee Sedol. The victory was a major milestone for a specific type of AI, called deep neural networks, that is more closely modeled on the way humans think.

You do not have to model your time series forecast problem as-is. There are many ways to reframe your forecast problem that can both simplify the prediction problem and potentially expose more or different information to be modeled. A reframing can ultimately result in better and/or more robust forecasts. In this tutorial, you will discover how to reframe your time series forecast problem with Python. How to Reframe Your Time Series Forecasting Problem Photo by Sean MacEntee, some rights reserved.

From location beacons to artificial intelligence here is a comprehensive guide to what I predict will be the biggest marketing trends for the New Year. Pokémon Go brought augmented reality to the forefront for many marketers and we expect advertisers outside of the gaming realm to dive deep into this space in 2017. AR and VR technologies remain largely uncharted territory with literally endless creative possibilities. With this technology, the viewer becomes an integral part of the brand experience as opposed to a mere observer. Instead of a call to action, they are the action.

Wondering when your order from GameStop will be delivered? Simply open Facebook Messenger and ask. Looking for tips on how to pair that new jacket you're eagerly awaiting with jewellery? This is the new retail reality thanks to the emergence of chatbots. Consumers appreciate the level of personalization and convenience that chatbots deliver effortlessly -- and through the channels where they already spend time.

This is a follow up to the Introduction to Machine Learning video.

Competition Aims to Improve Early Detection of Lung Cancer: Low-dose computed tomography (CT) scans can reduce lung cancer deaths by 20 percent, as demonstrated in National Cancer Institute (NCI) sponsored screening trials. This reduction would save more lives each year than any cancer-screening test in history. However, there are significant challenges as low-dose CT scans have a high false-positive rate, creating patient anxiety and potentially leading to costly and unnecessary diagnostic work like invasive biopsies that put patients at risk for collapsed lungs and other complications. Reducing the false positive rate is a critical step in making these scans available to more patients. Participants Will Use Machine Learning and Artificial Intelligence to Scan Lung Images: Using a data set of anonymized high-resolution lung scans provided by the Cancer Imaging Program of the National Cancer Institute, Data Science Bowl participants will develop artificial intelligence algorithms that accurately determine when lesions in the lungs are cancerous, and thereby dramatically decrease the false positive rate of current low-dose CT technology.

As the World Economic Forum unraveled last week in Davos, Switzerland, many leaders highlighted areas of future growth and how to shape the global economy – to promote an economy that will only serve to help improve our lives. Ginni Rometty, CEO of IBM, was also there discussing how IBM can contribute to this starting with artificial intelligence – or augmented intelligence/cognitive as we say at IBM. Why does IBM choose to use "augmented intelligence" or "cognitive" over "artificial intelligence"? What we've witnessed during each of these stages is some form of mechanics or machinery developed to augment our performance, thereby improving our outcome. The world has a lot of opportunity to gain and make our lives better with augmented intelligence – it'll make our lives far smoother and more enjoyable.

In a report by World Economic Forum, over 5 million jobs will be lost as a result of developments in artificial intelligence, genetic, robotics and other technological changes, this is expected to happen in near future which is 2020. According to WEF founder Klaus Schwab and managing board member Richard Samans, it is projected that about 7 million jobs will be lost and 2 million gained as a result of changes in technological advancement in 15 major developed and emerging economics. The findings are taken from a survey of 15 economies covering about 1.9 billion workers, or about 65 percent of the world's total workforce.

In 2014, Professor Hawking warned that: The development of (true) artificial intelligence could spell the end of the human race, (Cellan-Jones, Technology correspondent, BBC). In a follow up later this month, he is again reported as saying that artificial intelligence could be humanity's greatest disaster

Artificial intelligence (AI) is the biggest technology marketing story of 2017. Siri, the voice that lives in our pockets, is a product of AI; films recommended to us on Netflix are brought to our consciousness by AI; even food we order from Just Eat is delivered through a process involving AI. Now customer insights can be driven by it. And yet, other than a select few, how many marketers in the B2B industry can confidently say they know much about it? If you are one of those few, please bear with this brief overview.