The release continues, "FinTech Studios' cloud-based intelligent information network seamlessly integrates FinTech apps, news, research, financial data and big-data analytics from dozens of cloud partners. FinTech Studios targets millions of investors, portfolio managers, research analysts, bankers, brokers, financial advisors, RIAs, traders and corporate executives at banks, brokerage firms, asset management firms, hedge funds, financial advisory firms, private equity firms and venture capital firms, as well as public and private companies… FinTech Studios cloud platform includes advanced machine learning, artificial intelligence and natural language processing technology to automate the intelligent indexing of business and financial content from millions of web sites, blogs and online sources integrated with actionable market data, research and big-data analytics to simplify and enrich information discovery, research, analysis, workflow and collaboration."

The One Hundred Year Study on Artificial Intelligence, launched in the fall of 2014, is a longterm investigation of the field of Artificial Intelligence (AI) and its influences on people, their communities, and society.

In past @ThingsExpo presentations, Joseph di Paolantonio has explored how various Internet of Things ( IoT) and data management and analytics (DMA) solution spaces will come together as sensor analytics ecosystems. This year, in his session at @ThingsExpo, Joseph di Paolantonio from DataArchon, added the numerous Transportation areas, from autonomous vehicles to "Uber for containers." While IoT data in any one area of Transportation will have a huge impact in that area, combining sensor analytics from these different areas will impact government, industry, retail and other processes, as well as life-style choices. These changes to transportation are happening now, but at varying maturity levels as we advance along a model of Connect, Communicate, Collaborate, Contextualize and Cognition. Attendees will come away with specific ideas on identifying value from transportation IoT data and sensor analytics in their own industry.

Google Play Music, Google's music streaming service, is getting smarter. On Monday, an update to the Google Play Music app will kick in a new feature that can predict what you want to hear next. In fact, Google is so confident in the app's accuracy, that it completely revamped the welcome screen on Play Music so you can just tap to start listening to a playlist suited for you based on the time, your location, and a variety of other factors. Google says it's able to accomplish this through machine learning, the technology that's starting to power a lot of intelligent services Google makes like Google Photos and the new Google Assistant. It also plays into Google's broader mission to use machine learning and artificial intelligence in all of its products.

At times, modern artificial intelligence still feels like science fiction. A few decades ago, the kind of AI programs of today would have seemed almost outrageous -- self-driving cars, systems that have mastered the most challenging game in the world, and even programs that could alert doctors to medical errors before they happen. Despite the incredible progress and potential, public opinion of AI remains rooted in science fiction -- evil entities, out to destroy mankind. The area gets a bad rap in the press, in Hollywood, and even from tech and science leaders like Stephen Hawking and Elon Musk. Oren Etzioni, CEO of the Allen Institute for Artificial Intelligence (AI2) and longtime AI researcher, says this depiction of an "evil AI" is far off the mark from the reality of today's tech.

Everyone is on social media. According to Pew Research, in 2015 an astounding 65 percent of all Americans were using social media. That's more than 200 million people in the USA alone, and is approximately the same amount as the number of people in America who own pets. Worldwide, the total on social media already exceeds 2 billion people. That's twice as many people worldwide as the number who own a car.

Musk has been vocal in his warnings about the potential downside of the rise of the robots. He has invested millions in OpenAI, a project to ensure that artificial intelligence benefits mankind, rather than destroys it, and last week he said that it was only a matter of time before AI was used to take down the internet. "There is a pretty good chance we end up with a universal basic income, or something like that, due to automation," Musk told CNBC. "I am not sure what else one would do. I think that is what would happen."

The next big thing in AI may not be getting a machine to perform a task--it might be requiring the machine to communicate why it took that action. For instance, if a robot decides to take a certain route across a warehouse, or a driverless car turns left instead of right, how do we know why it made that decision? According to Manuela Veloso, professor of computer science at Carnegie Mellon University, explainable AI is essential to building trust in our systems. Veloso, who works with co-bots (collaborative robots), programs the machines to verbalize their decision process. "We need to be able to question why programs are doing what they do," Veloso said.

The Google Cloud, Google's eponymous artificial intelligence platform, is quite the capable little set of services. Its algorithms can handle everything from language translation to the identification of objects and landmarks. On Tuesday, Google Cloud chief Diane Greene announced the formation of a new team, the Google Cloud Machine Learning group, that will manage the Mountain View, California-based company's cloud intelligence efforts going forward. The group will be helmed by Jia Li, former head of research at Snapchat and pioneer behind the feature that lets you attach emojis to real-world objects, and Fe-Fei Li, former director of AI at Stanford. They will oversee a slew of upgrades to Google's cloud services in the coming months, much of which will involve Google Cloud's hardware infrastructure.

Technology is getting more and more dynamic bringing radical changes into the world we live in. Things that we deemed impossible a few years ago are happening now, such as genomics and artificial intelligence. Because of this, any old assumptions we know are becoming unapplicable. Technology is changing these rules and assumptions with something new. Here are the six new tech rules that will shape the future.