Trending February 2024 # Is India ’S Ai Game Is At Par With Rest Of The World? # Suggested March 2024 # Top 11 Popular

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The Indian government in a joint initiative with industry has established 4 centers to promote the fourth industrial revolution across the nation. The department of heavy industries with EEPC (Engineering Export Promotion Council) has built fur demonstration centers – Centre for Industry 4.0 (C4i4) Lab in Pune; IITD-AIA Foundation for Smart Manufacturing; I4.0 India at IISc Factory R&D Platform; and Smart Manufacturing Demo & Development Cell at CMTI. These will escalate manufacturing to a smart and intelligent hub and their task is to accelerate competitiveness in every industry cluster across the country. Several experts feel that in manufacturing, the process industries have done a lot of automation already and are among the first adopters of AI, such as chemicals, pharmaceuticals, and the automobile industry. Some of them think since digitization is happening at a fast pace, the vexing question is how to unlock the data present in their systems so they can access the intelligence. Well, all we know is we have to stop toying with the concept of data analysis and make it yield results. Only then we can reach the stage of automation, and finally, on to AI in its complete sense. At present, automation with some amount of technology is being passed off as AI, say the members.  

India’s Potential In AI

The country is just starting on its AI journey, yet it has always known that AI has great potential in the country. Because of illiteracy and not so tech-savvy population,

A Need for Central Data Repository

Banking, insurance, healthcare, and logistics are leading the way in digitization, while some others are playing catch up but it is still just a guessing game to predict when all the sectors would complete their respective digitization process. The Indian government and government think-tank NITI Aayog have roadmaps and vision to adopt AI technology in social and public sector projects and also in their departments. The only problem here is the timeline to digitize the departments is not precise. The quick expansion of this to large parts of the country will be the highlight to what difference AI will make. The government is working on a central data repository which will connect all elements in India’s fiduciary structure – the Centre and the states; and the cities and different ministries of both the Centre and the states. This planned network will benefit more data to be available for AI to be applied for urban planning. It will also help to realize India’s vision of truly ‘smarter’ cities. As it stands now, the healthcare and education sectors have plans to do this whereas logistics and transportation, are leading the way.  

Delayed Implementation of AI

As a drawback, India is still into its traditional ways which would delay the AI adoption in the long run. Several organizations are not implementing technology platforms as it will create unrest and unemployment. Well, a new set of jobs will be created but that would require a new skill set and upskill for new job roles and responsibilities.  

AI Is Not the Principle of Start-Ups 

The country is witnessing a wave of technology startups blossoming across the industry which are made in India and provide core technology products. However, most of the companies are zooming into digitization and data analytics while AI is just deep algorithm.  

Conclusion

The industry in India is sure about the disruption caused by technology is imminent and it will have to adopt it. With the assistance of such technologies, companies can leverage themselves to drive business value.

The Indian government in a joint initiative with industry has established 4 centers to promote the fourth industrial revolution across the nation. The department of heavy industries with EEPC (Engineering Export Promotion Council) has built fur demonstration centers – Centre for Industry 4.0 (C4i4) Lab in Pune; IITD-AIA Foundation for Smart Manufacturing; I4.0 India at IISc Factory R&D Platform; and Smart Manufacturing Demo & Development Cell at CMTI. These will escalate manufacturing to a smart and intelligent hub and their task is to accelerate competitiveness in every industry cluster across the country. Several experts feel that in manufacturing, the process industries have done a lot of automation already and are among the first adopters of AI, such as chemicals, pharmaceuticals, and the automobile industry. Some of them think since digitization is happening at a fast pace, the vexing question is how to unlock the data present in their systems so they can access the intelligence. Well, all we know is we have to stop toying with the concept of data analysis and make it yield results. Only then we can reach the stage of automation, and finally, on to AI in its complete sense. At present, automation with some amount of technology is being passed off as AI, say the chúng tôi country is just starting on its AI journey, yet it has always known that AI has great potential in the country. Because of illiteracy and not so tech-savvy population, India lack behind in AI adoption. Also, there are still certain companies in the industry which are not net-enabled. Therefore, the country cannot get everyone to use AI applications simultaneously. It has amassed humongous amounts of data, which the country can use to resolve issues in the social and other sectors including healthcare, education, banking, and agriculture. The data can be further mined for data analysis. In areas where we have AI, it is invisible, for example, the chatbots in bank and e-commerce websites that communicate with us for ease of use of the websites. Healthcare, agriculture, banks, and transportation sectors are using AI-powered chatbots but it also invisible.Banking, insurance, healthcare, and logistics are leading the way in digitization, while some others are playing catch up but it is still just a guessing game to predict when all the sectors would complete their respective digitization process. The Indian government and government think-tank NITI Aayog have roadmaps and vision to adopt AI technology in social and public sector projects and also in their departments. The only problem here is the timeline to digitize the departments is not precise. The quick expansion of this to large parts of the country will be the highlight to what difference AI will make. The government is working on a central data repository which will connect all elements in India’s fiduciary structure – the Centre and the states; and the cities and different ministries of both the Centre and the states. This planned network will benefit more data to be available for AI to be applied for urban planning. It will also help to realize India’s vision of truly ‘smarter’ cities. As it stands now, the healthcare and education sectors have plans to do this whereas logistics and transportation, are leading the chúng tôi a drawback, India is still into its traditional ways which would delay the AI adoption in the long run. Several organizations are not implementing technology platforms as it will create unrest and unemployment. Well, a new set of jobs will be created but that would require a new skill set and upskill for new job roles and chúng tôi country is witnessing a wave of technology startups blossoming across the industry which are made in India and provide core technology products. However, most of the companies are zooming into digitization and data analytics while AI is just deep chúng tôi industry in India is sure about the disruption caused by technology is imminent and it will have to adopt it. With the assistance of such technologies, companies can leverage themselves to drive business value. It is high time the nation highlights the innovations of startups which would bring their products mainstream, and generate peer pressure forcing others to better themselves. It is believed that adopting AI and getting smart, is about fostering competitiveness and peer pressure.

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Restful Web Services Tutorial: What Is Rest Api With Example

What is Restful Web Services?

Restful Web Services is a lightweight, maintainable, and scalable service that is built on the REST architecture. Restful Web Service, expose API from your application in a secure, uniform, stateless manner to the calling client. The calling client can perform predefined operations using the Restful service. The underlying protocol for REST is HTTP. REST stands for REpresentational State Transfer.

In this REST API tutorial, you will learn-

RESTful Key Elements

REST Web services have really come a long way since its inception. In 2002, the Web consortium had released the definition of WSDL and SOAP web services. This formed the standard of how web services are implemented.

In 2004, the web consortium also released the definition of an additional standard called RESTful. Over the past couple of years, this standard has become quite popular. And is being used by many of the popular websites around the world which include Facebook and Twitter.

The key elements of a RESTful implementation are as follows:

Request Headers – These are additional instructions sent with the request. These might define the type of response required or the authorization details.

Request Body – Data is sent with the request. Data is normally sent in the request when a POST request is made to the REST web services. In a POST call, the client actually tells the REST web services that it wants to add a resource to the server. Hence, the request body would have the details of the resource which is required to be added to the server.

Response Status codes – These codes are the general codes which are returned along with the response from the web server. An example is the code 200 which is normally returned if there is no error when returning a response to the client.

Restful Methods

The key elements of a RESTful implementation are as follows:

The below diagram shows mostly all the verbs (POST, GET, PUT, and DELETE) and an REST API example of what they would mean.

POST – This would be used to create a new employee using the RESTful web service

GET – This would be used to get a list of all employee using the RESTful web service

PUT – This would be used to update all employee using the RESTful web service

DELETE – This would be used to delete all employee using the RESTful services

The following actions would have their respective meanings.

POST – This would not be applicable since we are fetching data of employee 1 which is already created.

GET – This would be used to get the details of the employee with Employee no as 1 using the RESTful web service

PUT – This would be used to update the details of the employee with Employee no as 1 using the RESTful web service

DELETE – This is used to delete the details of the employee with Employee no as 1

Why Restful

Restful mostly came into popularity due to the following reasons:

1. Heterogeneous languages and environments – This is one of the fundamental reasons which is the same as we have seen for SOAP as well.

It enables web applications that are built on various programming languages to communicate with each other

With the help of Restful services, these web applications can reside on different environments, some could be on Windows, and others could be on Linux.

But in the end, no matter what the environment is, the end result should always be the same that they should be able to talk to each other. Restful web services offer this flexibility to applications built on various programming languages and platforms to talk to each other.

The below picture gives an example of a web application which has a requirement to talk to other applications such Facebook, Twitter, and Google.

Now if a client application had to work with sites such as Facebook, Twitter, etc. they would probably have to know what is the language Facebook, Google and Twitter are built on, and also on what platform they are built on.

Based on this, we can write the interfacing code for our web application, but this could prove to be a nightmare.

Facebook, Twitter, and Google expose their functionality in the form of Restful web services. This allows any client application to call these web services via REST.

2. The event of Devices – Nowadays, everything needs to work on Mobile devices, whether it be the mobile device, the notebooks, or even car systems.

Can you imagine the amount of effort to try and code applications on these devices to talk with normal web applications? Again Restful API’s can make this job simpler because as mentioned in point no 1, you really don’t need to know what is the underlying layer for the device.

3. Finally is the event of the Cloud – Everything is moving to the cloud. Applications are slowly moving to cloud-based systems such as in Azure or Amazon. Azure and Amazon provide a lot of API’s based on the Restful architecture. Hence, applications now need to be developed in such a way that they are made compatible with the Cloud. So since all Cloud-based architectures work on the REST principle, it makes more sense for web services to be programmed on the REST services based architecture to make the best use of Cloud-based services.

Restful Architecture

An application or architecture considered RESTful or REST-style has the following characteristics

1. State and functionality are divided into distributed resources – This means that every resource should be accessible via the normal HTTP commands of GET, POST, PUT, or DELETE. So if someone wanted to get a file from a server, they should be able to issue the GET request and get the file. If they want to put a file on the server, they should be able to either issue the POST or PUT request. And finally, if they wanted to delete a file from the server, they can issue the DELETE request.

2. The architecture is client/server, stateless, layered, and supports caching

Client-server is the typical architecture where the server can be the web server hosting the application, and the client can be as simple as the web browser.

Stateless means that the state of the application is not maintained in REST. For example, if you delete a resource from a server using the DELETE command, you cannot expect that delete information to be passed to the next request.

RESTFul Principles and Constraints

The REST architecture is based on a few characteristics which are elaborated below. Any RESTful web service has to comply with the below characteristics in order for it to be called RESTful. These characteristics are also known as design principles which need to be followed when working with RESTful based services.

RESTFul Client-Server

This is the most fundamental requirement of a REST based architecture. It means that the server will have a RESTful web service which would provide the required functionality to the client. The client send’s a request to the web service on the server. The server would either reject the request or comply and provide an adequate response to the client.

Stateless

The concept of stateless means that it’s up to the client to ensure that all the required information is provided to the server. This is required so that server can process the response appropriately. The server should not maintain any sort of information between requests from the client. It’s a very simple independent question-answer sequence. The client asks a question, the server answers it appropriately. The client will ask another question. The server will not remember the previous question-answer scenario and will need to answer the new question independently.

Cache

The Cache concept is to help with the problem of stateless which was described in the last point. Since each server client request is independent in nature, sometimes the client might ask the server for the same request again. This is even though it had already asked for it in the past. This request will go to the server, and the server will give a response. This increases the traffic across the network. The cache is a concept implemented on the client to store requests which have already been sent to the server. So if the same request is given by the client, instead of going to the server, it would go to the cache and get the required information. This saves the amount of to and fro network traffic from the client to the server.

Layered System

The concept of a layered system is that any additional layer such as a middleware layer can be inserted between the client and the actual server hosting the RESTFul web service (The middleware layer is where all the business logic is created. This can be an extra service created with which the client could interact with before it makes a call to the web service.). But the introduction of this layer needs to be transparent so that it does not disturb the interaction between the client and the server.

Interface/Uniform Contract

This is the underlying technique of how RESTful web services should work. RESTful basically works on the HTTP web layer and uses the below key verbs to work with resources on the server

POST – To create a resource on the server

GET – To retrieve a resource from the server

PUT – To change the state of a resource or to update it

DELETE – To remove or delete a resource from the server

Create your first Restful web service in ASP.NET

Now in this REST API tutorial, we will learn how to create a Restful web service in ASP.NET:

Web services can be created in a variety of languages. Many integrated development environments can be used to create REST-based services.

In this RESTful API example, we are going to create our REST application in .Net using Visual Studio. In our example, for Restful web services we are going to emulate the following REST service example.

We are going to have a Restful web service which will work on the below set of data.

The below set of data represents an REST API example of having a company which exposes the Tutorial’s they have based on the Tutorialid.

Tutorialid TutorialName

0 Arrays

1 Queues

2 Stacks

In our REST API tutorial example, we are going to implement the below Restful Verbs.

GET Tutorial – When a client invokes this Restful API, they will be given the entire set of Tutorials available from the web service.

GET Tutorial/Tutorialid – When a client invokes this Restful API, they will be given the Tutorial name based on the Tutorialid sent by the client.

POST Tutorial/Tutorialname – When a client invokes this Restful API, the client will submit a request to insert a Tutorialname. The web service will then add the submitted Tutorial name to the collection.

DELETE Tutorial/Tutorialid– When a client invokes this Restful API, the client will submit a request to delete a Tutorialname based on the Tutorialid. The web service will then delete the submitted Tutorial name from the collection.

Let’s follow the below steps in this RESTful API tutorial to create our first RESTful web services, which carries out the above implementation.

How to Create Your First Resful Web Service

Step 2) Enter project name and location.

Ensure to first choose the RESTful web services C# web template of chúng tôi Web application. The project has to be of this type in order to create web services project. By choosing this options, Visual Studio will then carry out the necessary steps to add required files which are required by any web-based application.

Give a name for your project which in our case has been given as “Webservice.REST”.

Then ensure to give a location, where the project files will be stored.

Once done you will see the project file created in your solution explorer in Visual Studio 2013.

The next step is to create the web service file which is going to have the RESTful web service

In this step,

In the dialog box which appears, you need to perform the following

Choose the option of WCF Service (Ajax-enabled) – Choose a file of this type, it causes the Visual studio to add some basic code which helps one create a RESTful web service. WCF stands for Windows Communication Foundation. WCF is a library for applications of various platforms or the same platform to communicate over the various protocols such as TCP, HTTP, HTTPS. Ajax basically is Asynchronous JavaScript and XML. AJAX allows web pages to be updated asynchronously by exchanging small amounts of data with the server behind the scenes.

Next give a name for the service which is TutorialService in our case.

The next step is to actually make a configuration change to enable this project to complete work with RESTful web services. This requires to make a change to the file called Web.config. This file appears in the same window as the Webservice project file. The file Web.config contains all configurations that make the web application work as it should. The change being made actually allows the application to send and receive data as a pure RESTful web service.

The next step in this RESTful API tutorial is to add our code for implementation. All of the below-mentioned code has to be written in the chúng tôi file

The first bit is to add code to represent our data which will be used in our program. So we are going to have a list of string variables with values of “Arrays”, “Queues” and “Stacks”. This will represent the tutorials name available through our hosting web service.

namespace Webservice.REST { [ServiceContract(Namespace = "")] [AspNetCompatibilityRequirements(RequirementsMode = AspNetCompatibilityRequirementsMode.Allowed public class TutorialService { (new String[] {"Arrays","Queues","Stacks"});

Next we will define the code for our GET method. This code will also reside in the same chúng tôi file. This code will run whenever we call the service from our browser.

The below method will be used to fulfill the below-mentioned scenario

If a user wants a list of all Tutorials available, then the below code would need to be written to accomplish this.

[WebGet(UriTemplate="/Tutorial")] public String GetAllTutorial() { int count = 1st.Count; String TutorialList = ""; for (int i = 0; i < count; i++) TutorialList = TutorialList + lst[i] + ","; return TutorialList; }

Code Explanation:-

This section of code is used to go through our list of strings in the ‘lst’ variable and return all of them to the calling program.

The code below ensures that if a GET call is made to the Tutorial Service with a Tutorial id, then it would return the corresponding Tutorial Name based on the Tutorial id.

[WebGet (UriTemplate = "/Tutorial/{Tutorialid}")] public String GetTutorialbyID(String Tutorialid) { int pid; Int32.TryParse(Tutorialid, out pid); return lst[pid]; }

Code Explanation:-

This section of code is used to return the “Tutorial name” which has the Tutorial id passed to the web method.

By default, what needs to be remembered is that whatever is passed to the URL in the browser is a string.

But you have to remember that the Index to our list has to be an integer, so we are adding the necessary code to first convert the Tutorialid to an Integer and then use it to access the index position in our list and

Then return the value to the calling program accordingly.

The next step is to write up the code for our POST method. This method will be invoked whenever we want to add a string value to our list of Tutorials via the POST method. For example, if you wanted to add the Tutorial name of “Software Testing” then you would need to use the POST method.

Code Explanation:-

The first line is the ‘WebInvoke’ attribute which has been attached to our method. This allows the method to be invoked via the POST call. The RequestFormat and ResponseFormat attribute have to be mentioned as JSON, since when posting values to a RESTFul web service, the values have to be in this format.

The second line of code is used to add the string value passed via the POST call to our existing list of Tutorial strings.

Finally we are going to add our method to handle the DELETE operation. This method will be invoked whenever we want to delete an existing string value from our list of Tutorials via the DELETE method.

[WebInvoke(Method = "DELETE", RequestFormat = WebMessageFormat.Json, UriTemplate = "/Tutorial/{Tutorialid}", ResponseFormat = WebMessageFormat.Json, BodyStyle = WebMessageBodyStyle.Wrapped)] public void DeleteTutorial(String Tutorialid) { int pid; Int32.TryParse(Tutorialid, out pid); 1st.RemoveAt(pid); }

Code Explanation:-

The first line is the ‘WebInvoke’ attribute which has been attached to our method. This allows the method to be invoked via the POST call. The RequestFormat and ResponseFormat attribute have to be mentioned as JSON, since when posting values to a RESTFul web service, the values have to be in this format. Note that the Method parameter is being set to “DELETE.” This means that whenever we issue the DELETE verb, this method will be invoked.

The second line of code is used to take the Tutorialid sent via the DELETE call and subsequently delete that id from our list. (The Int32 function in code is used to convert the Tutorial ID from a string variable to an integer).

Running your first Restful web service

Now that we have created our entire web service in the above section. Let’s see how we can run the Tutorial service so that it can be invoked from any client.

To run the web service, please follow the below steps

Step 2) Choose the menu option ‘Set as StartUp Project’. This will ensure that this project is run when Visual Studio runs the entire solution

Output:-

When the project is run, you can browse to your chúng tôi section, and you will get the below output.

In the above output,

You can see that the browser is invoking the ‘GET’ verb and executing the ‘GetAllTutorial’ method in the web service. This module is used to display all the Tutorials exposed by our web service.

Testing your first Restful web service

In the above section, we have already seen how to use the browser to execute the ‘GET’ verb and invoke the ‘GetAllTutorial.’

Let’s now use the browser to execute the following use case scenario.

GET Tutorial/Tutorialid – When a client invokes this Restful API, they will be given the Tutorial name based on the Tutorialid sent by the client

In your browser, append the string /1 after the Tutorial word in the URL. If you hit the enter button, you will get the below output

Now you will see the output of Queues which actually corresponds to the number 1 in our list of Tutorial Strings. This means that the ‘GetTutorialbyID’ method is now being invoked from our Webservice. It also shows that the value of 1 is being passed successfully via the browser to our web service and to our method and that is why we are getting the correct corresponding value of “Queues” in the browser.

Next let’s consume our web service by executing the below scenario. For this, you need to install the tool called “Fiddler” which is a free downloadable tool from the site.

POST Tutorial/Tutorialname – When a client invokes this Restful API, the client will submit a request to insert a Tutorialname. The web service will then add the submitted Tutorial name to the collection.

Run the Filddler tool and perform the below steps;

Go to the composer section. This is used to create requests which can be submitted to any webapplication.

Make sure the Content-Type is marked as application/json. Remember that our POST request method in our Web service only accepts json style data so we need to ensure this is specified when we are sending a request to our application.

Finally, we need to enter our data. Remember that our method for POST accepts a parameter called ‘str.’ So here we are specifying that we want to add a value called “Trees” to our collection of Tutorial names and ensure that it is tagged to the str variable name.

Now, when we browse to the Tutorial URL to show all the strings in our Tutorial list, you will now see the value of “Trees” is also present. This shows that the POST request to the web service was successfully executed and that it was successfully added to our Tutorial List.

Next let’s consume our web service by executing the below scenario. For this also we need to use the fiddler tool

DELETE Tutorial/Tutorialid- When a client invokes this Restful API, the client will submit a request to delete a Tutorialname based on the Tutorialid. The web service will then delete the submitted Tutorial name from the collection.

Run the Filddler tool and perform the below steps

Go to the composer section. This is used to create requests which can be submitted to any webapplication.

Now, when we browse to the Tutorial URL to show all the strings in our Tutorial list, you will notice that the value of “Queues” is no longer present.

This shows that the DELETE request to the web service was successfully executed. The element at index no 1 in our list of Tutorial strings was successfully deleted.

Summary

REST stands for REpresentational State Transfer. REST is used to build web services that are lightweight, maintainable, and scalable in nature.

More and more applications are moving to the Restful architecture. This is because there are a lot of people now using mobile devices and a wider variety of applications moving to the cloud.

The main aspects of REST are the resources which reside on the server and the verbs of GET, POST, PUT and DELETE, which can be used to work with these resources.

Visual Studio chúng tôi can be used to create Restful web services.

When Testing web services for POST and PUT, you need to use another tool called fiddler which can be used to send the POST and PUT request to the server.

The Lamborghini Essenza Scv12’S Wheel Is A Thing Of Track

The Lamborghini Essenza SCV12’s wheel is a thing of track-focused beauty

The Lamborghini Essenza SCV12 may not be short of eye-catching details – a V12 engine with 830 horsepower is worthy of attention – but inside it’s the race car inspired steering wheel that grabs you. Leagues away from the touchscreen-heavy dashboards of most modern cars, supercars included, the Essenza SCV12 instead focuses on giving you as little reason as possible to move your hands away from the most important control.

Dashboard design has evolved over the years, and as vehicles get more complex their interfaces have had to try to keep up. We’ve seen a general shift away from a physical control for every feature to a digital interface that keeps the number of buttons and switches down.

That’s great when you’re doing the school run in your Urus, but not so practical when you’re on the track putting the Essenza SCV12’s naturally-aspirated V12 to the test. Then, not only is there no time to spend digging through settings submenus for traction control settings, even just reaching for a wiper stalk could be too far. That’s why this newest Lamborghini does away with all that completely.

Instead there’s a multifunction steering wheel with an integrated display, which the automaker says was inspired by what you’d expect to find inside an F1 single-seater race car. Much smaller than a traditional wheel, and rectangular rather than circular, it’s designed so that the driver’s hands can remain in the perfect grip at all times. When they do need to adjust something, there are buttons and dials for that right on the wheel itself.

The central display shows the current gear, engine speed, lap pace, and tire pressure and temperature. The left hand gets a wheel at the top to adjust the differential, and then buttons for the pit radio, engaging neutral or reverse gear, and triggering the built-in drink system. Another wheel adjusts the ABS.

On the right, meanwhile, there’s a wheel to adjust the power steering settings, plus buttons to engage the pit limiter, to flash the lights, the hazards, and the full course yellow. There’s also a traction control wheel. Running underneath the display are knobs for clutch adjustment, the windshield wipers, engine map modes, and cycling through the info pages. A spare button can be remapped for something else.

It all looks, at first glance anyway, pretty complicated. However over time, so the idea goes, the driver builds up muscle memory and their fingers know exactly where to go in order to get the setting or control they want. That’s not something you typically can build, at least to the level that you’d want while you’re hitting the track in earnest, with a touchscreen-based system.

The center console isn’t devoid of features, mind. There are buttons for things like engine start, locking the pedals, the indicators, and a kill switch for emergencies, plus dials for the A/C, throttle, and other settings. Again, there’s a focus on utility rather than aesthetics: they’re all sized to be easily operated when you’re wearing gloves.

Few drivers will actually get to try that out themselves, of course. Lamborghini is only making forty Essenza SVC12 cars, each one coming with a dedicated garage spot in a custom-built hanger at Sant’Agata Bolognese. They’ll also have the benefit of a team of engineers and technicians, who will follow the cars around to different exclusive tracks around the world. That, sadly, will be the only way to actually put the Essenza SVC12 to the test: unlike most cars Lamborghini builds, this V12 beast isn’t road-legal.

World Rsquo S Top Fashion Events

A fashion event is a very special occasion, especially for the people who are passionate about fashion, such as fashion designers, fashion models, show organizers, and, of course, also for the fashion-loving spectators. At fashion events, a variety of new clothing designs are displayed. In some shows, jewellery designs are also displayed with the purpose of marketing.

What is a Fashion Event?

At a fashion event or fashion week, fashion designers, brands, or houses display their newly designed clothing and other related accessories to their buyers and media people. To make it more attractive and influential, newly designed dresses are displayed by beautiful female models and handsome male models, respectively. These models walk on the ramp and flaunt the designers’ dresses and related accessories to the buyers and media.

Interestingly, the Chambre Syndicate de la Haute Couture has set up another set of rules to regulate and determine Haute Couture houses. To run this house consistently and meet the expected criteria, certain rules were also made. As per the norms, this house was responsible for presenting a certain number of dress shows to the Paris press, which were later transformed into the proper fashion events.

What are the Top Most Events of the World?

There are many fashion events across the world; however, among them, four are the world’s top most fashion events, held every year in Paris, New York City, London, and Milan. These four fashion events are popularly known as the “Big Four” and are also the fashion capitals of the 21st century. These four centres are monumental fashion heritage sites, which are well-structured, organized, and run by the most praised and creative fashion designers of today’s world.

Let’s discuss these four fashion events one-by-one in brief:

Paris Haute Couture Week, France

Worldwide popular as the Paris Fashion Week and is organised twice a year. Its two formats are the Spring/Summer collection and the Autumn/Winter collection. The dates of this one-week fashion show are determined by the French Fashion Federation. Paris Fashion Week is organised at various venues throughout the Paris city.

The first official and documented Paris Fashion Week was organised in October 1973 as Haute Couture, Ready-to-Wear.

The Paris fashion week is bound to follow certain domestic laws under which the organisers cannot allow any model who is below the age of 18. However, later, this age limit was decreased to 16. In addition to this, during Paris fashion week, no model with a body mass index of zero is allowed to attend.

New York Fashion Week

New York Fashion Week is a semi-annual fashion show, as it is organised twice a year in Manhattan, New York City, NY, USA. Held in February and September of every year, New York fashion event is 7 to 9 days’ show, where world’s top brands and fashion designers display their newly designed collections.

London Fashion Week

One of the “big four” fashion weeks, London Fashion Week is organised in February and September of every year (twice a year). It is organised in London, the capital of the United Kingdom.

It was first inaugurated in 1983 by the British Fashion Council for the London Development Agency, supported by the Department for Business, Innovation and Skills.

Milan Fashion Week

Held in Milan, the fashion capital of Italy, Milan Fashion Week is one of the biggest clothing trade shows. It is organised in February/March as the winter/autumn event and in September/October as the spring/summer event of each year.

Milan Fashion Week, which was first inaugurated in 1958, is organised by the Camera Nazionale della Moda Italiana (The National Chamber for Italian Fashion). The National Chamber for Italian Fashion, which organises and hosts the Milan fashion shows, is a non-profit association that systematises, coordinates, and promotes the development of Italian fashion.

In addition to these “big four,” some other popular and prominent fashion events are:

Arab Fashion Week

Vancouver Fashion Week

Berlin Fashion Week

Los Angeles Fashion Week

Madrid Fashion Week

Rome Fashion Week

São Paulo Fashion Week

Shanghai Fashion Week

Mumbai Fashion Week, and

Tokyo Fashion Week

References

What Is A Key Differentiator Of Conversational Ai?

Introduction

In today’s world, you must have observed how even kids are fascinated by and driven toward using Alexa to play their favorite music or TV shows. It is astonishing to see those little humans working with one of the most recent technologies without knowing how it works. That is the specialty of this sub-type of artificial intelligence—conversational artificial intelligence. Conversational AI has enabled computers and software applications to listen, comprehend, and respond like humans. Try using Microsoft’s Cortana, Apple’s Siri, and Google’s Bard to understand what we’re saying. Or head over to OpenAI’s ChatGPT, the most recent and sensational conversational AI that knows it all (until 2023).

Before that, let’s get you brushed up on how these conversational AI models work. Furthermore, we will discuss what makes them talk and how they understand your responses.

Source: Chatlayer.ai

What is Conversational AI?

Fundamentally, conversational AI is a kind of artificial intelligence (AI) technology that simulates human conversations. It enables computers and software applications to collaborate with humans in a human-like demeanor using spoken/written language. These systems can be implemented in various forms, such as chatbots, virtual assistants, voice-activated intelligent devices, and customer support systems.

How Does Conversational AI Work?

A conversational AI workflow is a collection of various processes. A typical conversation AI works in the following manner.

Interactive User Interface: It has an interface using which the user inputs text. Alternatively, an ASR (Automatic Speech Recognition) system could record the user’s voice and convert it into text.

Natural Language Processing: NLP technology is then used to extract the intent from the user input and transform it into structured data to be analyzed.

Natural Language Understanding (NLU): NLU focuses on extracting the intent and context from the user’s input. It involves analyzing the information to determine the user’s goal or desired action.

Natural Language Generation (NLG): Response generation using natural language generation (NLG). NLG is used to infer from the above process and generates responses to converse with humans.

Natural Language Understanding (NLU)

Source: MonkeyLearn

As the name suggests, natural language understanding (NLU) is a branch of AI that understands user input using computer software. It helps bridge the gap between the user’s language and the system’s ability to process and respond appropriately.

Importance of Accurate and Context-Aware Language Comprehension NLU Techniques in Conversational AI Systems

NLU is a vital component of all conversational AI systems. To classify intent, extract entities, and understand contexts, NLU techniques often work in conjunction with machine learning. It uses supervised learning, named entity recognition, and deep learning.

Supervised Learning: Generally, NLU models are trained using supervised machine learning with labeled training data. The training data consists of examples of user inputs and their corresponding intents and entities. Using this data, the NLU model learns to identify patterns and relationships between the input and desired output.

Named Entity Recognition (NER): NER is a specific NLU technique to identify and classify named entities in text. It extracts entities like names, dates, organizations, or predefined categories.

Deep Learning: Various NLU tasks utilize recurrent neural networks (RNNs) and transformers to capture more complex patterns in the input data. It helps in understanding intents and extracting entities effectively.

Intelligent Virtual Assistants (IVAs) Role of Virtual Assistants in Providing Human-Like Interactions

Virtual assistants serve many purposes in today’s real world. Some of them are mentioned below.

Context Awareness: These assistants maintain contextual understanding by considering user history, preferences, and other relevant information from prior interactions.

Personalization and Customization Capabilities of Conversation AI

IVAs have opened more doors to personalized experiences. They can remember user preferences, adapt to user behavior, and provide tailored recommendations. The most widely used personal virtual assistant is Apple’s Siri. Apple’s direct consumer-facing virtual assistant can be personalized to user preferences regarding voice, accent, etc.

Omnichannel Integration

Source: Mobile Customer Connect

Another differentiator of conversational AI is omnichannel integration. Etymologically, an omnichannel approach seamlessly continues an ongoing conversation from one channel to another. And guess which technology has made it possible? It’s none other than Conversational AI.

Seamless Integration Across Multiple Channels

The conversational AI system maintains consistent behavior and responses across different channels with omnichannel integration. The context of ongoing conversations, user preferences, and previous interactions is shared seamlessly, allowing users to switch between channels.

Consistent User Experience and Data Synchronization

To offer an omnichannel experience, you must track all channels where customer interactions occur. This could be your website, application, Whatsapp, Facebook, or other platform. Integrating an AI-powered omnichannel chatbot can help connect all these channels. This will significantly enhance your brand presence on all digital media and enable large-scale data synchronization.

Contextual Understanding and Memory

Source: Symbl.ai

Conversational AI systems offer highly accurate contextual understanding and retention. This allows them to maintain coherent responses for users.

Ability to Retain and Recall Previous Interactions

Conversational AI systems monitor the progress of going-on interactions while recalling data and context from prior interactions. The system can reference the stored information when a user refers to a previously mentioned entity or asks follow-up questions.

Contextual Awareness for Personalized Conversations

This is done by considering various factors like history, user queries, the context of ongoing conversations, and other related factors to solve disambiguate doubts. For example, if you ask a conversational AI, “Is it going to rain today?” the AI system understands that by “today,” you’re referring to the current date and are seeking weather information.

Intent Recognition and Dialogue Management

Source: Medium

Another key differentiator of conversational AI is intent recognition and dialogue management.

Techniques for Accurately Identifying User Intent

The most prominently used technique for identifying user intent in NLU. As you must have read above, NLU enables these systems to analyze and identify more complex patterns and contexts in user input data. Supervised learning, recurrent neural networks, and NERs are used in NLU processes for the same.

Adaptive Dialogue Management for Dynamic Conversations

After determining the intent and context, the dialogue management component selects how the conversational AI system should respond. This entails choosing the best course of action in light of the conversation’s current state, the user’s intention, and the system’s capabilities. This is accomplished via predefined rules, state machines, and other techniques like reinforcement learning.

Machine Learning and AI Algorithms

Source: Analytics India magazine

Machine learning and artificial intelligence—are the two recent developments where algorithms have awakened and brought machines and computers to life. As key differentiators of conversational AI, both of them have contributed to computer-aided human interactions.

Training Conversational AI Models with Machine Learning Techniques Reinforcement Learning and Deep Learning in Conversational AI

Reinforcement learning involves training the model through a trial-and-error process. Here, the conversational AI model interacts with an environment and learns to maximize a reward signal. In conversational AI, reinforcement learning can train the model to generate responses by optimizing a reward function based on user satisfaction or task completion.

Integration with Backend Systems

Source: SAP Blog

Conversational AI systems can be integrated with numerous backend systems, enhancing their applicability.

Connecting with CRM, ERP, and Other Systems for Data Access

To reap more benefits from conversational AI systems, you can connect them with applications like CRM (customer relationship management), ERP (enterprise resource planning), etc. By integrating with these systems, conversational AI can provide personalized and contextually pertinent replies based on real-time data from these applications.

Streamlining Workflows and Automating Processes

This integration can streamline most workflows by directly feeding input data from these applications to the conversational AI model. For instance, customers can start support issues, book appointments, check the status of orders, and submit orders directly through the conversational AI interface. The conversational AI system can then communicate with the underlying CRM or ERP system to smoothly fulfill these requests.

Continuous Learning and Improvement

Moreover, AI experts can tweak these systems based on consumer feedback to enhance usability and functionality.

Feedback Loops and Data-Driven Model Enhancements

Getting user feedback can hold much more value than you can imagine. It can be obtained through explicit means, such as user ratings or surveys, or implicitly by monitoring user interactions. Based on this data, AI systems can be enhanced. Whether or not the data is flawless, using quality standards can improve insights and let companies gain more from user feedback.

Iterative updates imply a continuous cycle of updates and improvements based on how the user interacts with the model. This helps AI model administrators to identify standard issues, map user expectations and see how the model performs in real time. Further, developers can fine-tune, adjust algorithms, and integrate newer features into the conversational AI system using this data.

Conversational Analytics

Source: Invoca

Data analytics has become a standard practice for companies that deal with data. A relatively newer branch, conversational analytics, aims to analyze data about any kind of dialogue between the user and the system.

Capturing and Analyzing Conversational Data for Insights

Conversational analytics combines NLP and machine learning techniques to gather and analyze conversational data. Data is collected from user interactions with the conversational AI system. This can include user queries, system responses, timestamps, user demographics (if available), etc. It is then preprocessed and used for analysis.

Optimizing Conversational AI Based on Analytics

Based on your findings from conversational data analysis, developers can better understand user engagement, misinterpretation of responses, flow issues, gaps in intent recognition, and lack of contextual understanding. These insights can help them improve the relevance of system responses.

Compliance and Security

Source: Verloop.io

Data privacy, security, and compliance are among the most widespread concerns about using AI systems. As these technologies ingest massive volumes of data, there’s always a risk of an unethical outcome if some input data is unethical or inappropriate.

Ensuring Privacy and Data Protection in Conversational AI

You can ensure privacy and data protection in conversational AI systems in a few ways. Some of them are

Two-factor Authentication: With conversational AI, this approach is an excellent way to maintain secrecy. Two-way verification is required if a customer wishes to use chatbots to connect to a website.

Data Verification: Ask for user confirmation to safeguard your personal or customer information’s privacy when logging in to use the conversational AI model. You can send a link to the user’s personal email or phone number when they register. Allowing someone to access or share information should only happen after they have verified their personal information.

Compliance with Industry Regulations and Standards

Compliance with data protection regulations, such as the General Data Protection Regulation (GDPR) in the European Union or the California Consumer Privacy Act (CCPA) in the United States. Conversational AI systems in the healthcare industry must also comply with the Health Insurance Portability and Accountability Act (HIPAA).

Future Trends and Innovations

Conversational AI and its key differentiators are incipient due to ongoing research and developments in the field. Besides, the increasing user expectations and demands have driven the technology forward.

Voice Assistants and Voice-Enabled Devices

In the future, conversational AI will seamlessly integrate with Internet of Things (IoT) devices and smart home systems equipped with IVAs, allowing users to interact with their devices and control their environment through voice or chat interfaces.

Advancements in Natural Language Processing and Understanding

As these AI models rely highly on natural language processing and understanding, any developments in those areas will subsequently impact how conversational AI systems pan out. They will offer more accurate, insightful, and human-like responses for all we can anticipate.

Conversational AI will develop guidelines and standards to promote the responsible and fair use of conversational AI technologies as it becomes more prevalent.

Conclusion

Summing up, conversational AI offers several crucial differentiators and marks a substantial development in human-machine interactions. For starters, conversational AI enables people to communicate with AI systems more naturally and human-likely by enabling natural language understanding. It uses machine learning and natural language processing to understand user intentions and respond accordingly. Additionally, conversational AI systems can learn and improve over time. Through iterative updates and user-driven enhancements, they continuously refine their performance and adapt to user preferences.

From a business perspective, these systems help improve user experience, customer engagement, streamline customer support operations, and offer more personalized services.

Analytics Vidhya can be a valuable source for learning more about conversational AI and its uses. It is a platform offering educational content, tutorials, courses, and community forums dedicated to data science, machine learning, and artificial intelligence. With courses like their BlackBelt Program for AI and ML aspirants, it offers the best learning and career development experience with one-on-one mentorship. You’ll learn more about AI and its sub-type, like conversational AI and real-world applications. So without further ado, enroll.

Frequently Asked Questions

Q1. Why is intent recognition so important in conversational AI systems?

A. In conversational AI, intent recognition determines the fundamental reason or objective behind user inquiries. It enhances the overall user experience by deciphering intentions and delivering appropriate responses.

Q2. How can conversational AI benefit businesses in customer support?

A. Conversational AI enables businesses to provide automated, 24/7 customer support through chatbots or virtual assistants. This can reduce response times, improve efficiency, and improve customer satisfaction by promptly resolving queries and issues.

Q3. What are some challenges in deploying conversational AI at scale?

A. Scaling conversational AI systems poses difficulties such as managing high user query volumes, assuring reliable performance, and upholding data security and privacy. Maintaining context over interactions and training models to handle a variety of user intents can also increase the complexity.

Q4. How is sentiment analysis related to conversational AI?

A. Sentiment analysis in conversational AI enables the system to deliver more empathic and customized responses by understanding and analyzing the emotions and views stated by users.

Related

What Is Xbox Game Pass?

Xbox Game Pass is a game subscription service for Xbox and Windows 10 that lets members download and play a wide library of games for free so long as they stay subscribed to the service. Think of it as the Netflix for Xbox games. 

Xbox Game Pass started off small but it has quickly grown to be a great offering at a very reasonable price, and it’s an interesting opportunity to get access to a large selection of games on a budget.

Table of Contents

Let’s take a deeper look what Xbox Games Pass is, how it works, and how you can get the most out of it if you plan to subscribe.

Xbox Game Pass Overview – Pricing & Available Games

The two most important things to learn about the Xbox Game Pass is the pricing and the available game catalog for Game Pass subscribers. 

Without any deals considered, the Xbox Game Pass for console costs $9.99 per month. Alternatively, you can take out an Xbox Game Pass subscription for PC that only costs $4.99 per month. There’s a higher tier subscription we’ll explain later that bundles in both PC and console, but first let’s go over the basics.

The library of games for Xbox Game Pass members is quite extensive. It includes existing Xbox Game Studio titles such as Halo: The Master Chief Collection and Gears 5, or upcoming titles like Bleeding Edge and Ori and the Will of the Wisps. 

It should also be made clear that this gives you access to download the games to your console or PC to play from your device. This isn’t a cloud gaming service like Project xCloud, so your performance should be much better.

All upcoming Xbox Game Studio titles like Halo Infinite will be available on the Xbox Game Pass on day one of release. Besides that, dozens of third party titles are available on Xbox Game Pass. This includes older games like Minecraft and Darksiders 3, and newer titles like The Outer Worlds and RAGE 2.

There’s no restriction or limit to how many games you can play or how long you can play for. As long as you are an Xbox Game Pass member, you have unlimited access to over a hundred included titles.

The games library for Windows 10 PC users will be different, but there are similarities, including new Xbox Game Studio titles and a catalog of over a hundred games. Xbox Game Pass for PC is certainly amongst the best Windows 10 game subscription services.

Xbox Game Pass Ultimate vs Xbox Game Pass

Whilst the standard price for an Xbox Game Pass subscription is $9.99, another pricing tier called Xbox Game Pass Ultimate may be of more interest to you. The Xbox Game Pass Ultimate subscription costs $44.99/quarterly, so $14.99 per month. 

For an extra $5 over the standard Xbox Game Pass, the benefits are well worth considering. You get access to both PC and console games on the Xbox Game Pass Ultimate subscription, and an Xbox Live Gold membership is included. Which, by comparison, costs $9.99 per month on its own.

If you already pay for Xbox Live Gold, paying for the Ultimate Game Pass tier may actually save you money over subscribing to both the standard Xbox Game Pass and Xbox Live Gold separately. 

Xbox Game Pass Ultimate members will also get other benefits upon subscribing. These offers include 1 month of EA Access, 2 months of Discord Nitro, and 6 months of Spotify Premium. These benefits are part of a one-time welcome offer.

Xbox Game Pass Deals & Special Offers

Whilst Xbox Live Gold will remain an option for those who just want to play Xbox games online, Xbox is clearly pushing their new Game Pass subscriptions hard. So much so that they are offering some great welcome deals for new Xbox Game Pass members.

If you sign up for Xbox Game Pass Ultimate for the first time, you can get the first three months for just $1. After the initial three month period, the $44.99 quarterly price will start, but you can cancel at anytime before that.  

There currently aren’t any offers for the Xbox Game Pass standard subscription for console, but if you keep an eye out, there are regularly offers available. For now, Xbox is pushing people to sign up to Xbox Game Pass Ultimate instead.

If you only want to play PC games, the Xbox Game Pass PC subscription currently has a great offer you’d be interested in. You can get the first month for $1 and then further months are just $4.99.

Bonus Features Xbox Game Pass Members Get

You don’t only get access to a digital game library with Xbox Game Pass. If you want to purchase a game from the Game Pass catalog permanently, you can save up to 20% on the digital price of the game. On top of this, any digital purchases or add-ons for those games will also be available for up to 10% off the standard price.

If you become an Xbox Game Pass Ultimate member, you can also play games with the Play Anywhere feature. For example, you can start a game of Sea of Thieves on your Xbox One, then continue it later on your PC.

This includes big titles like Gears 5 and even Xbox original classic remasters such as Voodoo Vince.

Hopefully this has taught you everything you need to know about what the Xbox Game Pass is and what it offers. If you have any more questions about the new Xbox game catalog subscription service, feel free to reach out.

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