All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA. Join Cloud Expo / @ThingsExpo conference chair Roger Strukhoff (@IoT2040), June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA for three days of intense Enterprise Cloud and'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. Accordingly, attendees at the upcoming 20th Cloud Expo / @ThingsExpo June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track.

Information technology (IT) advances are transforming the way we innovate in business, thereby disrupting the old guard and their predictable status-quo. Industries are converging, and new opportunities and threats are emerging, like never before. So, how are savvy chief information officers (CIOs) leading this transition? Back in 2015, the IBM Institute for Business Value conducted a market study that included the findings from over 1,800 CIO interviews from around the globe. The resulting insights are worthy of revisiting today, as we consider the digital business transformation outlook in 2017.

Machine learning, AI, cognitive computing, natural language understanding, image recognition, pattern matching, autonomous devices - these are just a few of 2017's loosely defined catchall phrases. But in practice, they each refer to a significant field of study that is guaranteed to have an impact on the way people live and how business is done. Your Various Units Are Working on Data-Driven Systems in a Vacuum If you do not have strict, well-enforced data governance policies, your various units are busy making a data mess that you will eventually have to clean up. Each unit has any number of projects in the works. Their competitors are making apps and creating systems designed to reduce friction and reduce costs wherever possible.

While presenting own advanced Robo-Advisory Platform, Michał Różański, Managing Partner at EARP and CEO at Empirica, will illustrate the most important issues of building tailored FinTech software in his session at 20th Cloud Expo. He will share experiences we have gained for over 6 years of developing solutions for financial institutions and FinTech companies, including robo-advisors. We welcome all FinTech innovators interested in how properly implemented technology can move their businesses forward. Speaker Bio Michał Różański is Managing Partner at EARP and CEO at Empirica, the first european FinTech Software House, which delivers highly specialized software development services for financial industry. He is also the architect behind Empirica's flagship products like Empirica-Advisor, the robo-advisory software for wealth managers and Algorithmic Trading Platform, the cutting edge algorithmic tools for professional investors.

If you follow tech news often, you'll be more than aware of the promise offered by artificial intelligence (AI) and machine learning. Often, though, it feels like a far-away goal. It will get there, but right now it's primitive. At Google's annual developer conference, held this week near its Mountain View headquarters, the company showed off some of the best practical applications of AI and machine learning I've seen yet. They may not make your jaw drop - or, thankfully, put you out of a job - but it's an incremental change that shows how Google is putting its immense computing power to work.

Deep learning is becoming an increasingly important part of the artificial intelligence (AI) toolkit, yet it is often misunderstood. Although it supports a developing market and is often touted as an important direction for corporate innovation, it needs to be viewed in context. This is a developing area of technology that is rapidly creating its own domain, becoming richer and increasingly varied. We will soon see new opportunities based specifically on deep learning. The market for deep learning solutions continues to expand.

The company said it has added picture-in-picture video, so that that users can do things like watch video while looking at the calendar. Android gets Notification Dots, which places a small dot on an app icon if there is a notification coming from the app. Users click to see the notifications. Auto-fill has been added so that users can get some help entering information on a mobile device when setting up a new service or a new phone. This requires an opt-in from the customer.

At Google's 2017 I/O keynote today, CEO Sundar Pichai introduced new products and shared more information about the company's "AI first" future. Here's a running list of what happened that matters. Google is rethinking "all" of its products for an AI-first world. That's the high-level promise from Pichai, and the change Google must successfully navigate to continue its dominance. Examples: Google Search now ranks differently using machine learning, Google Maps Street View automatically recognizes signs, video calling uses machine learning for low-bandwidth situations, etc. Google can now use your camera as an input device.

As the university's announcement points out, law enforcement agencies have a lot of faith that AI will help them tag suspects in surveillance videos. It's also interesting to note that Google's AI showed remarkable confidence in its incorrect identifications, as is seen in the table below, with the Audi inserted into the Chocolate Factory's test videos of animals, Google Fibre, and legendary Gorilla researcher Jane Goodall. Best of all: the researchers didn't have to learn how the video classifier's AI worked to deceive it. "Note that we could deceive the Google's Cloud Video Intelligence API, without having any knowledge about the learning algorithms, video annotation algorithms or the cloud computing architecture used by the API", they write, "we developed an approach for deceiving the API, by only querying the system with different inputs".

At Google's I/O developer conference, CEO Sundar Pichai announced a new technology called Google Lens. The idea with the product is to leverage Google's computer vision and AI technology in order to bring smarts directly to your phone's camera. As the company explains, the smartphone camera won't just see what you see, but will also understand what you see to help you take action. During a demo, Google showed off how you could point your camera at something and Lens tells you what it is -- like, it could identify the flower you're preparing to shoot. In another example, Pichai showed how Lens could do a common task -- connecting you to a home's Wi-Fi network by snapping a photo of the sticker on the router.