If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
South Korean telco LG Uplus will deploy its home Internet of Things (IoT) platform to Wooshin Construction's apartments, the company has announced. Those who live in the apartments can download LG Uplus's IoT@home app and use it to control heating, lights, and gas in their homes and check their energy usage and parking space availability. They can also use it to control IoT devices bought separately such as robot cleaners and air purifiers. Users can also configure the setting to activate them simultaneously at scheduled times. For example, the lights, gas units, and boilers can be set to be turned off when the user leaves the home.
Facebook debuted a host of new efforts Thursday in its fight against fake news. In a blog post from product manager Tessa Lyons, Facebook announced a series of new partnerships and expansions to its fact-checking endeavors, including fact-checking viral photos and images and the use of machine learning to stop the spread of hoaxes and fake news. The new features it announced are, according to Lyons' blog post: Lyons explained that algorithms detect and flag pages with suspicious or otherwise unsavory behavior--plagiarized text, shady ads, targeting users in other countries, and more. Once a viral news story is debunked, Facebook will use machine learning to flag duplicates of the story--posting a story from multiple sites is a common practice among false information peddlers--identifying it across varying domains and news pages. "Using machine learning we're able to identify and demote duplicates of articles that were rated false by fact-checkers," Lyons said to BuzzFeed.
The evolution of computing and cost efficiency has made commercial devices capable of running full-on operating systems and complex algorithms, right in the office. IoT platforms in 2018 are continuing to push for the fastest connectivity. That's of course where the concept of Edge Computing comes in, where workload is processed on the edge of the network where the IoT connects the Cloud with the physical world. A key part of this progression is the fast and effective integration between IoT and the Cloud, locating many of the processes onboard the devices themselves and connecting them with the Cloud for the most essential functions. As machine learning algorithms evolve and advance, there are a few things we can expect.
In this session, we will explore how to build, select and deploy accurate predictive models on your Cloudera environment, by leveraging the power of the world's leading Automated Machine Learning platform: DataRobot. Andre Balleyguier, Chief Data Scientist EMEA at DataRobot, will demonstrate how to deliver an end-to-end Machine Learning project, from business problem to model deployment. We will start from a dataset stored on Hadoop, then create a workflow to train, analyse and deploy dozens of models by leveraging the scalability of Apache Spark distributed computing as well as various open-sources tools (XGBoost, Tensorflow, Python, R, ...), within DataRobot's intuitive user interface. DataRobot seamlessly integrates with the Cloudera Enterprise Platform and YARN; it enables business analysts, engineers and data scientists at various skills levels to deliver AI projects on Hadoop at scale, in a fraction of the time it takes with standard tools.
Early adopters are ramping up investment in artificial intelligence (AI) technologies in 2018 reveals an AI study conducted by Constellation Research. Sixty percent of C-level executives surveyed say their organizations plan to increase investment in AI by over 50% compared to last year (Figure 1). AI budgets, however, remain relatively modest with 92% of respondents expecting to spend less than $5 million on AI in 2018. Modest AI budgets signal cautious adoption and deployment of foundational AI technologies for now. However, because AI often delivers successes exponentially, Constellation expects AI budgets to continue to rise by more than 50 percent annually for the next four to five years as AI R&D yields bigger successes at an increasing pace.
They've been around for quite a while but only recently, (2016 onwards) they've became popularized and mainstream, with brands and enterprises engaging in chatbot development in order to reach customers with better efficiency and cost-effectiveness. Enterprises today, build and deploy chatbots to not only assist but also automate its customer support. For e.g., KLM Royal Dutch Airlines handled an upwards of 16,000 interactions on a weekly basis and in 6 months, the Blue Bot sent out almost 2 million messages to more than 500,000 customers. Surveys show that 37% of Americans would prefer to use a chatbot to get a swift answer, in an urgent situation. Additionally, 64% of Americans feel that the 24-hour availability of chatbots is the best feature with 55% appreciating the instant response and instant communication.
This post originally appeared on the PullString blog. Unless you've been living under a rock for the last twelve months, you've heard about voice assistants. They go by the name of Alexa, Google Assistant or Siri and can give you information about your commute or the weather, turn lights on and off, book flights, and order groceries. A line of questioning we hear a lot from CMOs in North America and Europe is: should they even care about this latest technology trend, does voice deserve its own strategy, does it warrant attention at their level of the organization? We believe there are four strategic reasons why every CMO should start thinking about what voice assistant customer engagement means for their digital transformation strategy.
The two German ICO companies savedroid and CoinAnalyst have entered into a strategic B2B partnership to enhance their respective crypto ecosystems. CoinAnalyst will include savedroid's crypto saving app in its cryptocurrency news app to offer newbies a smart, convenient, and safe access to the complex crypto world and help bringing cryptocurrencies to the masses. Goal of this strategic partnership is to enhance the crypto ecosystem of both partners and drive user growth and monetization of both platforms. CoinAnalyst is a German limited corporation that provides an AI based big data analytics platform that allows any trader in the crypto asset sector and other industries to access a dashboard that monitors and analyzes real-time crypto market data. The platform collects continuously and almost in real time all relevant information about crypto currencies and ICOs from all available sources.
This article is a continuation of Part 1. You can find the first part here. It is likely that when you begin your AIOps journey, you will already have certain analytics in place. I do not mean the analytics that are embedded in your IT tools. I mean offline, mostly manual analytics, that you do regularly, irregularly, or periodically to identify areas for process improvement, reduce costs, improve performance, etc.
Alexa is coming to your hotel room. Amazon this morning is announcing a new program called Alexa for Hospitality, designed to bring its voice assistant technology to everything from chain hotels to vacation rentals. The system can be customized to include key guest information, like checkout time or pool hours; allows guests to request services like housekeeping or room service; and can be configured to control "smart" hotel room functions, like adjusting the thermostat or raising the blinds. Marriott is Amazon's launch partner on the new platform, which is notable not only for the potential scale of this rollout, but also because the hotelier had been testing both Siri and Alexa devices ahead of today's news. According to Amazon, Marriott International will introduce the new Alexa experience at select properties in Marriott Hotels, Westin Hotels & Resorts, St. Regis Hotels & Resorts, Aloft Hotels, and Autograph Collection Hotels starting this summer.