These 4 strategies can help you craft a landing page that not only keeps people on your site, but converts them into leads and customers as well.

Artificial Intelligence (AI) is the current big thing in the ever-evolving world of technology and it now seems the popular messaging app Line wants a piece of the action as well. Following in the footsteps of Apple with Siri, Amazon with Alexa, and Google with the Google Assistant – which on a side note is now in the process of being rolled out to more devices. According to the information coming through, the Japanese messaging company's AI will be called'Clova' and is likely designed to be included in devices from LG Electronics and Sony. The new AI will have all the features one might expect with a virtual assistant, including the ability to pull weather and news, stream music, or update agendas. Likewise, this AI will reportedly make use of a now-typical use of speech recognition and an ability to understand natural language. Although, it is suggested that the team behind Clova also wants to include face recognition, as well as the ability to understand difficult questions.

Google is about to make more Androids even smarter. The tech giant is rolling out its Google Assistant to devices running on the Nougat and Marshmallow versions of its Android software. The firm first revealed the expansion at the Mobile World Congress and users in the US will be the first to receive the update – Australia, Canada, the UK and Germany are set to follow. Google is rolling out its Google Assistant to devices running on Nougat and Marshmallow. The firm first revealed the expansion at the Mobile World Congress and users in the US will be the first to receive the update – Australia, Canada, the UK and Germany are set to follow. Google has yet to reveal a detailed list of Android devices that are eligible to download Google Assistant.

How will Openwater's technology prevent AI from taking over existing jobs? The trope, of course, is that AI and Robots are coming for our jobs. Automation will take over, so the monologue goes, and there will be nothing for us to do anymore. But this discussion has been ongoing since the term AI was coined in the late 1950s. The response by some was to invert the discussion and the term itself and to create a world opposite to AI.

New York City's historical buildings, businesses and sensibilities - some of them decades old - have been under siege for the past few years. One of the latest victims is the historic Waldorf Astoria hotel, which is closing in less than a week for renovations, possibly not to reopen for three years. Reportedly, 300-500 hotel rooms will remain, but the vast majority of the property will be converted to luxury condos. Wouldn't it be better to onboard the new condo "workload," without stripping away so much of the Waldorf's legacy hotel functionality? There's a data and analytics angle here, I promise.

In a feat reminiscent of the controversial victory by supercomputer'Deep Blue' over world chess champion Garry Kasparov, a computer program has managed to beat a string of professional poker players at the game. DeepStack, as it was called, defeated 10 out of 11 players who took part in a total of 3,000 games as part of a scientific study into artificial intelligence. The 11th player also lost, but by a margin that the researchers decided was not large enough to be statistically significant. This is not the first time a computer has won at poker. Libratus, a program developed by Carnegie Mellon University academics, won $1.76m (£1.4m) from professionals in January, for example.

Artificial intelligence (AI) is one of the most evocative and confusing terms in technology. According to Accenture, artificial intelligence (AI) could add an additional US$814 billion in 2035 to the UK's economy--with growth rates increasing from 2.5 percent to 3.9 percent in 2035. We have seen a machine master the complex game of Go, previously thought to be the most difficult challenge of artificial processing. We have witnessed vehicles operating autonomously, including a caravan of trucks crossing Europe with only a single operator to monitor systems. We have seen a proliferation of robotic counterparts and automated means for accomplishing a variety of tasks.

This article was originally published on International Business Times. Space, far from being the final frontier, may turn out to be the key to unlocking unknown insight about planet Earth. From retail traffic levels to agriculture to poverty mapping, the up-and-coming Californian company is taking a scientific approach to data by partnering with satellite firms to blast rockets into space and watch key industrial changes from the black sky above. By 2020, there will be enough satellites in space to take real-time surveillance of the entire world, said AJ DeRosa, an Orbital Insight executive during Newsweek's AI and Data Science conference in London on March 1. "Yes, Skynet is here," he laughed. Yet, Orbital Insight is not hoping to become an AI-based overlord.

The first annual Gigaom AI conference took place in San Francisco earlier this month. If you are unfamiliar with Gigaom, they are a technology research firm, finding and presenting the latest developments in technology, including artificial intelligence (AI), big data, Internet of Things (IOT), and more. The Gigaom AI conference focused on the applications and benefits of using AI to advance business, and how to implement it now. We wanted to share some highlights and our main takeaways from the event. "The effect that #AI will have on the world will be much more profound than computers or the iPad."

Amazon.com (AMZN) on Thursday blamed human error for an outage at its cloud-services unit that caused widespread disruption to internet traffic across the U.S. earlier this week. In a post on its website, Amazon said the outage started with a typo at Amazon's North Virginia data centers Tuesday. An employee trying to speed up the company's S3 cloud-storage billing system tried to take a few servers offline. The employee mistyped the command, however, affecting more servers than intended, which led to a cascade of failures that ultimately knocked out S3 and other Amazon services. It also took longer than expected to restart certain services, Amazon said.