Machine learning and data mining are research areas of computer science whose quick development is due to the advances in data analysis research, growth in the database industry and the resulting world construction market needs for methods that are capable of extracting valuable knowledge from large data stores. Here are some of the examples of machine learning being applied in the construction industry. It's important to note that machine learning techniques apply mostly on a business side, less so in the actual construction. At the same time, the construction industry is currently experiencing explosive growth in its capability to generate and collect data. Advances in data storage technology, such as faster, higher capacity, and less expensive storage devices, better database management systems, and data-warehousing technology, have allowed the transformation of an enormous amount of data into computerized database systems. These data, however, have no use until they are processed and interpreted.

Will AI make construction industry, civil engineering, and design more efficient? How will it benefit these industries? Starting from the 1980s professors and researchers from all over the world published an enormous amount of articles about use cases of artificial intelligence in the field of construction. We analyzed those articles and compiled a list of 10 most interesting examples, where AI technology used for construction performance diagnostics, intelligent planning of construction projects or creating construction robot fleet management systems. In 1994 professors Tarek Hegazy and Osama Moselhi published a technical paper, which presented a methodology for deriving analogy-based solutions to a class of unstructured problems in civil engineering.

The hype around artificial intelligence is ramping up, especially as big tech companies like Amazon, Facebook, LinkedIn and Microsoft are trying to commercialise it. Artificial intelligence is now playing integral part in many industries, including marketing. Marketing agencies are also starting to figure out how to use AI in order to their clients' marketing and advertising efforts more effective. We found 10 examples to show you how artificial intelligence is changing marketing industry. Although AI still has limitations, forward-thinking brands are starting to harness its power to enhance the customer experience.

Site-Layout Modeling: How AI Can Help Construction Industry? The efficient planning of site space through the construction project is referred to as site layout planning. Due to its impact on safety, productivity and security on construction sites, several site layout planning models have been developed in the past decades. These models have the common aim of generating best layouts considering the defined constraints and conditions. However, the underlying assumptions that were made during the development of these models seem disparate and often implicit.

The Consumer Electronics Show (CES) kicks off in Las Vegas this week, with technology companies from around the globe descending on "Sin City" to showcase their latest gadgets and offer a glimpse into our digital future. From the camcorder and the CD player to the Xbox and the plasma TV, some of the best-known technologies of all time have debuted at CES, and some of the most famous industry figures have given keynotes, including Bill Gates, Michael Dell and Elon Musk. This year marks the show's 50th annivarsary. The first CES kicked off in 1967, with 250 exhibitors and 17,500 attendees gathered in New York City. Since then, CES has grown by more than 10-fold, and now encompasses both traditional and non-traditional tech industries.

The use of artificial intelligence has been of enormous economic benefit for dairy farmers in many countries through the improvement of their stock. Affordable tools with the ability to continuously monitor the growth rate of livestock animals are highly sought after by the livestock industries. This demand is driven by the potential for these tools to assist in improving animal welfare and production efficiency. In a rapidly growing population, the demand for meat is escalating, especially in Asia, where the middle class is currently expanding. Meanwhile, in the western world there is growing consumer concern surrounding animal husbandry, with certain organisations labelling some of the current husbandry practices cruel or sub-standard.

A metal typewriter sits on a pedestal churning out the next sentence of a collaborative story. For every line I typed onto paper, the AI computer controlling the hunk of metal replies with what it thinks would be a good follow up. The goal of the experiment is to see what happens when you feed an artificial intelligence only fairy tales. It's the kind of seemingly idiosyncratic thing you'd expect from IBM, Google or Apple. But I actually found it inside Mercedes Benz's R&D North American headquarters in Silicon Valley.

Most of the attention around automation focuses on how factory robots and self-driving cars may fundamentally change our workforce, potentially eliminating millions of jobs. But AI that can handle knowledge-based, white-collar work are also becoming increasingly competent. One Japanese insurance company, Fukoku Mutual Life Insurance, is reportedly replacing 34 human insurance claim workers with "IBM Watson Explorer," starting by January 2017. The AI will scan hospital records and other documents to determine insurance payouts, according to a company press release, factoring injuries, patient medical histories, and procedures administered. Automation of these research and data gathering tasks will help the remaining human workers process the final payout faster, the release says.

Here's a no-brainer: 2017 will be a big year for the cloud. Cloud computing is an innovation rivaling the advent of client-server, the PC or the internet, and it's going to enjoy continued vigorous growth in the new year. Though the essential balance of power within the public-cloud world won't change much, competition may favor companies that best serve the organizations straddling private data centers and the public cloud -- which is to say, most of them. Here are some of the key cloud trends to watch this year. Revenue will rise sharply for the big public-cloud providers.

Although it's a digital technology, voicemail requires people to stop what they are doing and pay complete attention to a message that may or may not be important. Consumers, buyers, and decision makers are becoming increasingly more comfortable using self-service, digital channels to not only conduct their research, but make purchase decisions. And, with the introduction of bots, natural language processing technology, and robotic process automation (RPA) to name a few, people may not even realize they are talking to a robot!