Here are 100 upcoming meetings and conferences, for July 2017 and beyond. You can also find the latest list on KDnuggets Meetings page Color code: Business-Oriented meetings in Blue, Research meetings (with calls for papers and program committee) in green Top countries: India, France, Australia: 3 New York City regained the top billing this month - here are the top cities for meetings: San Francisco, Boston: 8 Seattle, New Orleans, Berlin, Atlanta: 3 July 2017 Jul 5-8, 2017 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS). Register now and save 15% with code KDN15. Space is limited - register soon and save 20% extra w. Save 20% on most passes with discount code PCKDNG.

Responding to Walter Pike's article, Did Publicis dumping the Cannes Lions come as a surprise to you?, Rita Doherty writes that she doesn't agree that interruptive advertising will be replaced by relevance advertising. She believes the two systems will co-exist... Pike was therefore thrilled when the new Publicis Groupe CEO, Arthur Sadun pulled out of Cannes saying the money would be spent instead on artificial intelligence technology. Pike adds, 'certainly this is a huge blow to the egos of the people in creative departments, but should we care?' Pike's vision of a world with no advertising interrupting people is exciting, but unfortunately, it's a vision based on dangerous fallacies. Pike is right about some things. He's right to point out the age of big data, artificial intelligence and programmatic media is upon us and this'digital trinity' will be the key to future brand growth.

"OK Google, what can you do when connected to Talend?" In this tutorial, I will show how to create an Agent in API.AI that will respond to commands spoken to Google Home. The Agent will reverse the words in a sentence spoken to Google Home by making use of a Talend web service which is used to carry out the word reversal. A very simple example, but it demonstrates the ground work you will need to create some really quite interesting applications. You do not need one to try this tutorial out as Google has provided an emulator, but I can highly recommend the device. Recently Google opened up access to the Actions on Google API. You can either use the Actions SDK or use API.AI. API.AI was recently acquired by Google. While API.AI is really quite simple to use, it is quite limited in how it can be used with Google Home at the moment.

Ninety percent of all the data available online today has accumulated over the last couple of years. This pool of data is projected to grow exponentially as we all contribute to it each day through 500 million tweets, 4.3 billion Facebook posts, 5.75 billion "likes," and 6 billion daily Google searches. The Ridacati Group reports that 205 billion emails were sent each day in 2015, and it estimates that by 2019 that number will increase 20 percent to reach 246 billion emails. This data growth is inextricably linked to the development of AI. Deep learning models have become routine in almost every area that deals with data.

In 1999, Bill Gates wrote a book titled "Business @ the Speed of Thought." In it, Gates made 15 bold predictions that at the time might have sounded outrageous. But as Markus Kirjonen, a business student, said on his blog, Gates' forecasts turned out to be eerily prescient. Here are the 15 predictions Gates made nearly 20 years ago -- and how close they've come to being true. Gates' prediction: "Automated price comparison services will be developed, allowing people to see prices across multiple websites, making it effortless to find the cheapest product for all industries."

Theoretical neuroscientist, technologist and entrepreneur Dr Vivienne Ming looks to artificial intelligence and neuroprosthetics to augment humans. She spoke to Claire O'Connell. Artificial intelligence is a hot topic. From computers that can beat chess masters or diagnose disease, to the notion of autonomous machines putting humans out of jobs, there's a lot to think about. But, as with so many technologies, AI is just a tool, and it is how we use it that matters, according to theoretical neuroscientist and entrepreneur Dr Vivienne Ming, who was in Dublin last week.

The US embassy in The Gambia has reversed its decision and granted visas for a high school robotics team to compete in an international competition in the United States. On Monday, it was reported that the team, made up of five teenagers, were denied visas to attend the FIRST Global robotics event in Washington DC on July 16-18. However, in a second interview with the US embassy, all five students were given visas. Fatoumata Ceesay, one of the engineering students, told Al Jazeera that although she and her peers weren't told the reason behind the decision's reversal, the second interview differed a lot from the first one. "It was very nice and sensible compared to the last one," the 17-year-old Ceesay said.

Virtually all shopping will take place at home. The war in retail has long ago gone technological. Amazon is the poster child of this transition, paving the way first by taking its business online, then embracing the cloud and offering ever more advanced services for compute and storage to thirrd parties via Amazon Web Services (AWS). Amazon may be the undisputed leader both in terms of its market share in retail and its cloud offering, but that does not mean the competition just sits around watching. Alibaba, which some see as a Chinese counterpart of Amazon, is inspired by Amazon's success.

Bias in boardrooms is tricky to assess. Many companies don't publish diversity reports, making useful information difficult to come by and hampering efforts to tackle institutional biases. Now artificially intelligent algorithms have been used to dig down into the data, confirming that there is a lack of diversity at the top of the world's corporate ladder. To evaluate the situation, researchers from biotech firm Insilico Medicine compiled pictures of the top executives taken from the websites of nearly 500 of the largest companies in the world. The final dataset comprised over 7200 photographs from companies spanning 38 countries. They trained image recognition algorithms to automatically detect the age, race and sex of the board members, and compared the results to the age, race and gender profile of each firm's country to see if they reflected the general population.

DeepMind, Google's London-based artificial intelligence research branch, is launching a team at the University of Alberta in Canada. DeepMind is launching a team at the university partly for proximity to the broader AI research community in Canada. A number of leading AI researchers in Silicon Valley hail from Canada, where they plugged away at deep learning, a complex automated process of data analysis, during a period when that technology -- now popular at major tech companies -- was considered by the larger computer science community to be a dead end. Plus, almost a dozen DeepMind staff came from the university, according to a blog post by DeepMind co-founder and CEO Demis Hassabis announcing the new lab. An Alberta PhD and a former post doc from the school played key roles in one of DeepMind's hallmark accomplishments, getting its AlphaGo software to beat the human world champion at Chinese strategy game Go. "Our hope is that this collaboration will help turbocharge Edmonton's growth as a technology and research hub," wrote Hassabis, "attracting even more world-class AI researchers to the region and helping to keep them there too."