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Microsoft Azure, Machine Learning, and Artificial Intelligence! – LUIS

Wednesday, February 28th, 2018

Azure, which is Microsoft’s great platform for virtualizing an Active Directory environment, or at least that is what it started out being. Since its introduction in October of 2008 and its release into the production for masses on February 1st, 2010, Azure has grown into a lot more than just a virtual Active Directory. Azure has now become the world’s largest platform for virtual technology. This includes app development, deployments, and the introduction of PaaS, IaaS, and SaaS. These technological advancements within the Azure space allows Azure to not only be manipulated, but also enhanced to include Machine Learning.

Machine Learning is the next phase in technological revolution. Machine Learning gives the life to systems allowing them to self-correct and self-rewrite their programming to be more fundamentally correct. Machine Learning is already in most of the products that we use daily such as Amazon’s Echo which utilizes speech to determine products and services that best suite you, the consumer.  Other examples are Siri within the iPhone, Cortana with Windows, and Google Assistant. All these technologies work together with a simple purpose. That purpose is to learn the habits and functions of human beings to become better and more sufficient.

The connection flag ship with allows all these devices and machine learning products to interface is called IoT or the Internet Of Things. IoT connects devices such as your smart phone, home security, bluetooth enabled appliances, and more on to one unified management platform that they call interconnect and they are easier to manage. IoT is the next wave in technological advancement being presented by Microsoft along with other large competitors such as Amazon and Google. IoT is becoming the next big thing when it comes to full home automation. Machine learning interprets all information being gathered from analytics, bots, IoT experiences, including conversational components into a spoken dialogue called LU. LU or Language Understanding determines the intent of a sentence including the machine-enabled meaning representation.

In an effort in increase Machine Learning, Microsoft has launched LUIS which is its Language Understanding Intelligent Service. LUIS will allow Software developers to create cloud-based machine learning LU models that are designed around their specific application domains. This allows the code to be written and interpreted with very little Machine Learning experience. LUIS is now a cloud-based application which does most of the background work for Machine Learning in the background while giving users the agility and flexibility to cater the experience more towards their application and organization.  The application uses user experiences from the developer and learns how to obtain an HTTP endpoint in Azure which will then receive real-time traffic.  This is called “Active Learning”.  Through these “Active Learning” utterances, LUIS identifies the key features needed to make the experience and solution unique to that user.  These active learning sessions are done until optimum levels of requirements are met. Bear in mind that active learning is also utilizing machine learning, so the learning curve is very small, while the results are extraordinarily accurate.

LUIS runs off of three main functions and they can be categorized as Intents, Utterances, and Entities. All three aspects engage LUIS functionality and ability to learn the user habits. A more detailed overview of these functions are listed below:


Intents: The input done by a user to express actions with a purpose that the user wishes to perform or a goal which the user is trying to accomplish.  This could be as simple as booking flight, hotel, or pulling up a newspaper article. The name of the action can then be associated with the action.


Utterances: This can be a combination of text inputs that regulate an action to obtain results. Such actions in a text can be “check flight status” or “what was the score from the game?”.  Because of so many variations to an utterance, they may not always be perfectly formed sentences, but all desire a intent.

Entities: An entity is a specific detail within an utterance which governs the direction the utterance will take.  An example of this is “hotels in Jamaica”. “Jamaica” is the location. LUIS can determine the location, then using the other intents to understand the utterance, then provide a response.


LUIS utilizes powerful entity extractors for it to achieve learning capabilities and become more successful with its responses. LUIS allows developers to quickly build language understanding applications. The applications can then combine with customizable pre-built apps to include music, dictionaries, calendars, and devices. Through interaction with the developer and the information being constantly pulled from the internet, the learning, and solutions that LUIS provides becomes more intuitive with each use.  Once the applications are created using LUIS, the app can then be customized and tailored to the users which the app is designed for giving all of them that unique experience.

LUIS uses two ways to build a model, that is through “LUIS.ai web app” and “Authoring APIs”. Whether the user goes with the LUIS.ai web app or the Authoring APIs, they both give control over the LUIS model definition.  Another fundamental and creative method that developers have found is to combine both to build a model.  Management within the model includes models, versions, external APIs, collaborations, training, and testing.

LUIS is another segment in the Machine Learning process in the revolution of Artificial Intelligence. As machines begin to learn increasingly about human behavior and what we like, they also become aware of errors that we make including how to fix or to alleviate the errors all together.  Error free, automation, increase in productivity, and cutting cost is the motive behind AI. The Microsoft Azure cloud space is proving to be a formidable place for this technology to not only thrive but to maximize on limitless possibilities. IT GURUS OF ATLANTA will ensure that we provide updates to our supporters as we are a trusted Microsoft Partner and a certified Microsoft Cloud Partner.

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Free Wi-Fi anyone? Plus Free Calls? LinkNYC is providing Gigabit Wi-Fi access and U.S. calls for Free!

Thursday, November 20th, 2014

Link Booth Pictures 2

Most people have barred the thought of using pay phones for anything these days. Most of them, if existent, are either broken down or hasn’t been used in a very long time.  Pay phones which were once the trend of the 80s-90’s is now the dinosaur of the 2000’s.  No longer are pay phones the starting point for conversations, but now seeing one that works is like seeing a historic exhibit.  Just leave it to New Yorkers to change the dying trend and revamp them into the next big wave.


Already in progress and construction is the replacement of all of New York’s 10,000 pay phones into what is rapidly being called “Links”.  The project is being called LinkNYC.  In many locations already the payphones are being replaced by Links.  Instead of seeing the broken down features of the payphone, you are seeing big and bright advertisements that cover the entire more than 50% of the station on both sides.


These stations do more than just advertise products, but offer FREE, yes, that’s right F R E E Wi-Fi access to anyone passing by.  The most important part is that the access to these Wi-Fi spots give Gigabit speeds which is 20 times faster than most New Yorkers home internet.  What that translates to is that downloading a 2hr HD movie can be downloaded as fast as 30 seconds.  That is some serious speed while you are on the go in the streets of New York.

Link Booth Pictures

The surprises don’t stop there for LinkNYC either.  You will also be able to make free nation-wide calls in the U.S., access to city services, directions, 311 access, 911 access, and free charging station for mobile devices. All these features bundled up into each of the Links installed.  The Links have been designed by the team at Antenna Design which make the Links compliant with the American Disabilities Act. CityBridge is the consortium behind the development of the units.


At this point everyone is wondering how is all of this being funded? Does this mean an increase in taxes, or will there be a surcharge being spiked up for New Yorkers?  The answer to the question is that New York plans to fund these Links by advertisements all around the Links.  The large and colorful screens on the sides of the Links can not only display ads, but also public announcements and emergencies.  The ads which are anticipated to generate more than $500 million in revenue will eliminate the need for taxes to be a source of revenue.

The project go-live date is the end of 2015.



Link Booth Pictures 4Link Booth Pictures 3IT GURUS OF ATLANTA LLC

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