Machine Learning is now on top of the Gartner hype cycle, and almost everyone in the world of digital marketing or e-Commerce talks about it or, at least, has heard about it. But although this term is discussed quite often, only a few do really know what it is or what it can do for them. Even less are aware about its limits. Within this article, we want to shed light on this dark through introducing you to the concept of machine learning, showing its application in online shops and comparing it to Operational Intelligence and Prescriptive Analysis for a better understanding. Basically, Machine Learning is a part of Artificial Intelligence (AI) that generates knowledge from experiences, i.e. historical data.

How easy it is to build a learning machine? Shouldn't one just hire some Machine Learning PhDs and have them run their algorithms? Well, this is most probably a good idea, but it won't be enough. I'll try to explain why in this blog entry. Before answering our questions, let's define what we are dealing with.

Artificial intelligence (AI) and machine learning are no longer story lines for science fiction. They are very much a part of our daily lives. Players like MadStreetDen, SnapShopr, and now Streamoid Technologies' piQit Fashion have brought AI into our everyday fashion shopping. Founded in 2013, Streamoid Technologies began operations in mid-2014 and is now present in India and the US. Their platform piQit Fashion uses a combination of human and machine intelligence to solve many problems commonly found in fashion retail.

Drive.ai is the 13th company to be granted a license to test autonomous vehicles on public roads in California. This is exciting news, especially because we had no idea that Drive.ai even existed until just last week. The company has been in stealth mode for the past year, working on applying deep learning techniques to self-driving cars. We spoke with two of Drive.ai's Its core team is made up of experts with a wealth of experience developing deep learning systems in all kinds of different domains, including natural language processing, computer vision, and (most recently) autonomous driving. "This team helped pioneer how to scale deep learning, which is one of the reasons why deep learning has been successful as of late," says Tandon, the company's CEO.

The rise of robots and deadly viruses are among the threats that could wipe out swathes of humanity - but governments are failing to prepare properly for them, a new report warns. Catastrophic climate change, nuclear war and natural disasters such as super volcanoes and asteroids could also pose a deadly risk to mankind, researchers said. It may sound like the stuff of sci-fi films, but experts said these apocalyptic threats are more likely than many realise. The report Global Catastrophic Risks, compiled by a team from Oxford University, the Global Challenges Foundation and the Global Priorities Project, ranks dangers that could wipe out 10% or more of the human population. It warns that while most generations never experience a catastrophe, they are far from fanciful, as the bouts of plague and the 1918 Spanish flu that wiped out millions illustrated.

The rise of robots and deadly viruses are among the threats that could wipe out swathes of humanity - but governments are failing to prepare properly for them, a new report warns. Catastrophic climate change, nuclear war and natural disasters such as super volcanoes and asteroids could also pose a deadly risk to mankind, researchers said. It may sound like the stuff of sci-fi films, but experts said these apocalyptic threats are more likely than many realise. The report Global Catastrophic Risks, compiled by a team from Oxford University, the Global Challenges Foundation and the Global Priorities Project, ranks dangers that could wipe out 10% or more of the human population. It warns that while most generations never experience a catastrophe, they are far from fanciful, as the bouts of plague and the 1918 Spanish flu that wiped out millions illustrated.

The report Global Catastrophic Risks, compiled by a team from Oxford University, the Global Challenges Foundation and the Global Priorities Project, ranks dangers that could wipe out 10% or more of the human population. It warns that while most generations never experience a catastrophe, they are far from fanciful, as the bouts of plague and the 1918 Spanish flu that wiped out millions illustrated. Sebastian Farquhar, director at the Global Priorities Project, told the Press Association: "There are some things that are on the horizon, things that probably won't happen in any one year but could happen, which could completely reshape our world and do so in a really devastating and disastrous way. "History teaches us that many of these things are more likely than we intuitively think. "Many of these risks are changing and growing as technologies change and grow and reshape our world. But there are also things we can do about the risks."

The rise of robots and deadly viruses are among the threats that could wipe out swathes of humanity - but governments are failing to prepare properly for them, a new report warns. Catastrophic climate change, nuclear war and natural disasters such as super volcanoes and asteroids could also pose a deadly risk to mankind, researchers said. It may sound like the stuff of sci-fi films, but experts said these apocalyptic threats are more likely than many realise. The report Global Catastrophic Risks, compiled by a team from Oxford University, the Global Challenges Foundation and the Global Priorities Project, ranks dangers that could wipe out 10% or more of the human population. It warns that while most generations never experience a catastrophe, they are far from fanciful, as the bouts of plague and the 1918 Spanish flu that wiped out millions illustrated.

Amazon said that a review of its entire U.S. staff found that women's compensation in 2015 was 99.9% of men's in equivalent jobs. Further, minorities make 100.1% of what white workers earn. SAN FRANCISCO -- Hear an echo? Amazon's first quarter results are likely to recall the themes of previous quarters, including the march of Prime and its cloud services business. Last year was an excellent one for the Seattle-based retailer.

Global insurer MetLife is taking the Internet of Things (IoT) and machine learning very seriously, despite still being in the early stages of implementing and exploiting the technology. Speaking to Computing at a SAS Global Forum media event in North Carolina, MetLife VP of enterprise analytics Malene Haxholdt said that the IoT has the potential to help the company develop new products, but that work in this area is still very much at an "exploratory" stage. "IoT is definitely being considered as something you have to take seriously in this business. It's not a'oh it's going to go away' type of conversation – that data is not going away, so you have to take it seriously and figure out if there is a use for it," she said. Haxholdt said she can see how IoT can play a part in the company's digital transformation efforts, enabling it to communicate better with its customers and use real-time data analytics to improve efficiency in its underwriting process.