The future of artificial intelligence is everywhere, are you ready?

1 Hybrid cloud and public cloud services Global data technology and service requirements are constantly escalating every year, storage is an important part of infrastructure components, between 2011 and 2016 will maintain a 53% CAGR, technical staff and investors to maintain a close attention to the current technology development trends, This could have a direct impact on their 2016 and future business operations. So here's a list of five recent groundbreaking innovations: Hybrid cloud and public cloud services Hybrid cloud and public cloud services are becoming increasingly popular, and many venture capital firms are investing a lot of money into SaaS companies, stating that Cloud solutions will have more room for profit in the future. There have been doubts about whether Dropbox, with its $10 billion valuation, could go public, and the fact that the leading SaaS company has risen to $11 billion after wheel financing has been strong. Dropbox has also expanded its strategic positioning from ubiquitous file-sharing services to a collaborative platform, and has reached strategic partnerships with Adobe and Microsoft. In order to achieve its strategic positioning, Dropbox is the first to improve the cloud service life, in order to become a user practical partner. Since 2011, startup in New York has grown to be the second largest cloud deployment platform for developers, providing a simple, scalable SSD cloud service platform for many large companies, including Amazon, Google and Microsoft. "Data Ocean" is now shifting its focus from meeting the needs of large-scale customers to the user experience. This successful move has enabled startup to get more than $183 million in financing. 2016, we look forward to the expansion of the cloud services sector, from SaaS to Paas,sdn and Dbaas. 2 Big Data simplification Big Data Simplification Big data gives us unprecedented insight, and the key to leveraging that data is interpretation and analysis. According to Oracle, simple Big Data mining tools are going to evolve, as analysts can buy data directly on enterprise Hadoop clusters, readjust and use machine learning techniques for analysis. So that the general public to the big data interpretation more comprehensive, so for the enterprise, can better learn from the user behavior. Combining the AI and machine learning that is now evolving, the next step is to use the complex big data to be very important. Machine learning Apple's Siri and Microsoft's Cortana are the pioneers of this fully autonomous agent. In the future world of a post-app, we can imagine not just interacting with cases and menus, but by talking to intelligent agents. So that more engineering automation can liberate humans from this work, we are moving forward to the future of machine learning and artificial intelligence. In 2105, Google acquired the London start-up company, DeepMind, and put its center in the development of AI. By winning this very complex game, Google is trying to tell the world that computers can be used in many ways, such as better personal software stewards. We can also see many well-known companies focusing on machine learning. Emotion Recognition technology 2015 Japan launched the first emotional intelligent robot pepper. Within 1 minutes of the launch last year, Pepper sold 1000, and SoftBank said the robots they launched this spring could run across the entire mobile phone without human help. 3 Unmanned driving technology Apple recently acquired Emotient, a start-up company, which is committed to judging people's emotions through facial expression analysis. The move follows Apple's takeover of Faceshift, a company focused on facial recognition. With the development of science and technology, although scientists have been able to design a very clever robot, but can talk with humans can capture human details and emotional changes, this is still a very breakthrough progress. Unmanned driving technology Google is striding ahead in the technology of driverless cars, while shared-driving apps are exploding, such as Uber breaking traditional perceptions of car ownership, and Lyft and General Motors have spent $500 million on how to hack the code for auto-driving car-sharing software apps. Whether or not it is unmanned, the future development of the car depends largely on the ability to improve the passenger's driving experience. GPS, Bluetooth and Wi-Fi are standard configurations, and the next wave of autonomous driving and electric vehicles is innovation in that the car is not just a vehicle, but a mobile data center that connects to a cloud platform. Technological change and pace of development are always beyond our imagination, and in the foreseeable future we are likely to live in a world of big data, cloud computing, driverless cars, and emotional robots, simply imagining how these technologies are evolving and changing our daily lives is a very exciting thing. If there is IDC need to consult: mobile phone &:13411186006 QQ:97441267 hesi key Scan the following two-dimensional code to focus on IDC information, the first time to understand the latest IDC news.

The future of artificial intelligence is everywhere, are you ready?