Tag: mobile learning

28 Jul 2021
virtual assistants

How virtual assistants are helping in mobile banking?

“Artificial intelligence is about replacing human decision making with more sophisticated technologies”.

Falguni Desai

Conversation time with customers is saved

There is the use of artificial intelligence everywhere now. It’s true that banks are now trying to save on the use of human resources by applying chatbots for interaction. The reason is that chatbots are smarter than human beings and have so much data with them, so they don’t take much time to answer questions like them. Instead, it has been estimated, that when banks apply chatbots, they reduce the conversation time of customers by 4 minutes. Hence the queries of customers are resolved quickly which means greater customer satisfaction.

Banks are also using chatbots in their mobile apps. This implies that the chatbots provide automated notifications to banks about their balance whenever customers add money or withdraw. This makes sure customers can cut down on their expenses.

Ease of operations for banks and customers

In India and the US, the banks are using virtual assistants to enable ease of use for customers.

The customers can integrate such virtual assistants with their banking accounts.

Hence, they can order the cash payment by giving instructions to the virtual assistant. Then they can log into the app and authorize the transaction with a touch ID.

The best part about that is for knowing your balance, you don’t need to login into your mobile app. You can simply ask about it from the Virtual assistant and it will ask for your voice PIN. Once that’s confirmed, you will then get the balance on your mobile number registered with the bank. But, make sure that you don’t share the Voice PIN with anyone else. It’s true that by using this technology, customers don’t need to come to the bank branch to inquire about their balances. Although you can send an SMS to the bank’s number to get the balance, it can sometimes take hours to get the intended message on your number because of the unavailability of servers. Virtual assistant manufacturers like Amazon and Google have huge databases stored on their cloud-based servers which have round-the-clock and easier accessibility.

Also, mobile banking can be made faster with the use of such virtual assistants. Mobile banking apps took their own sweet time to conduct transactions because of the internet availability, but the virtual assistants it is not so.

Credit risk evaluation is easy

Banks have a huge responsibility on their shoulders. It is true that they have an enormous number of transactions happening per day. The banks have to maintain huge databases, but sometimes, getting the relevant data through such databases becomes time-consuming especially if there is no sophisticated software. But with the use of virtual assistants like Alexa, when Amazon comes into the picture, fetching such data is easy. Earlier, banks had a few customers, and hence accessing the data through computer software was easy because internet availability didn’t matter. But now, there are so many branches with so many of them trying to access the server at the same time. So, it was easier to check the credit history of a person before giving him/her a loan. But this is not so easy now because banks have so many customers.

Artificial intelligence helps banks in analyzing the data. These apps integrated with mobile banking apps can easily store and retrieve data about customers. Hence, this is useful for customers who get speedy approval for loans from banks. There is also a decrease in costs incurred by banks due to such automated data reporting by 10%.

At least those days, of standing in long queues in banks to meet banking executives and applying for a loan are over. Nowadays, you apply for a loan on a mobile banking app and get a response within minutes whether you are approved or not.

Apart from evaluating the issuance of loans, these AI-based mobile banking apps are also useful to evaluate whether a customer can be issued a credit card or not. In the case of a credit card, the customer is given a monthly credit limit and he can withdraw money. But, he has to repay back the same amount with a certain interest amount. This all sounds possible when a customer has a stable income and can repay back the credit card loan on time. But, when he loses the job and defaults on his credit card, the banks can face major losses. In 2020, when losing jobs became a common trend in the US, credit card defaults started happening more frequently. So, AI-based apps that analyze customer data for banks are a huge help now.

 

 

10 Jun 2020

Blood Bank App in Storyline 360

“What is the Most Important Thing that You Did Today?”

 

Maybe you took care of your family, gave your best at work, or helped a friend.

“Can any of you say that you helped save a life today? And that it took only about half an hour of your time?”

Donating blood is one of the easiest ways to truly help a person in need.

Around 38,000 people need blood for their treatment every day. Although science and medical management are advancing, there is NO substitute for blood. The only way to obtain blood that is vital in saving people’s lives, is from donations.

We have created a mock-up application on blood bank in Storyline.

Through this app you can:

  • Gather some basic knowledge about blood and blood groups.
  • Get the information regarding the compatibility of your blood to other blood groups as a Donor/Receiver.
  • Access a database of donors for your specific blood group requirements.

Apart from the above, the app uses a brand new way of navigating to the next and previous slides.

 

Demo YouTube Video:

Mobile Compatible HTML5 Output:
A better and improved version:
06 Nov 2018

2 Player Jeopardy Game in SL360 #209

Hello Everyone,

Created a Jeopardy game for this weeks eLearning heroes challenge #209.

Just like any normal game—this game also has 2 modes:

  1. Single Player Mode: that allows a single player to accumulate the maximum $ amount by answering random questions correctly.
  2. Multi Player Mode: that allows two players to compete with each other and the player with maximum $ amount wins.

Once the player selects the game mode, he will be asked to enter the player(s) name(s) and “Start the Game” button will appear (as shown above).

Based on the mode selection, clicking “Start the Game” button will take the player to the next slide that contains Jeopardy board(s) with various $ amounts.

On selecting any $ amount, a layer pops up with 6 categories, out of which only two (General Knowledge and Inventors and their Inventions) are functional in this sample game.

Both the above categories are linked to their own separate question banks. Each question bank contain 30 questions which are being fetched randomly. These questions are storyline’s default multiple choice graded questions.

In order to increase the difficulty level, added a 15 second timer to each question. The player has to answer within the stipulated time.

In case of multi player mode, the players get a chance to select the $ amount and answer the questions turn by turn.

If the player answers the question correctly, a thumbs up sign pops up and later a tick mark appears on top right of the selected $ amount else a thumbs down sign pops up and later a cross mark appears.

NOTE: Everything in this sample game is developed in storyline itself using Shapes, Variables and Triggers, except the first page, it contains 2 web objects:

  • Jeopardy – Title animation
  • Progress bar.

 

Before you give it a try, check out the below video demo:

Link to Mobile Compatible (Html5) Output: http://bit.ly/2J9Pbrx

19 Jun 2018

Latest e-Learning Trends

The eLearning industry is always changing with the emerging trends and technologies. One can easily notice the thriving change in the learning and it is of no surprise that an eLearning has shifted towards much better ways and is no longer needs to be done 100% in person. Now the question arises is that, what’s next that leads to the rapid transformation in the process of learning. Read out to find some of the latest trends in eLearning.

 

  1. Microlearning: It is learning in small steps. The micro learning is also called as bit-sized learning, which is generally 3 to 5 minutes in length. This can be developed as videos, quizzes or the interactive info-graphics. This type of learning helps to provide necessary information and delivers the specific goals of the learner. So, for distracted learners, the micro-learning is highly beneficial.
  2. Social learning: As the name suggests, this type of learning helps the learner to share the knowledge with others. Social learning happens via social media platforms or during conferences. In this, the learner continues to learn during the discussions. It works as a collaborative work rather than a competitive one.
  3. Personalized learning: In this type of learning, learners are given pre-test and based on its result, they are assigned specific modules, questions and study materials. Each learner gets a specific time and space to go-throw the study material.
  4. Mobile learning: It is also called m-learning. In this, the users learn through smartphones, tablets or the wireless gaming. The best part of mobile learning is that it can be done anytime and at any place.
  5. Gamification: Most of the people often confuse gamification with games. But in actuality, it is a concept of applying game theory and mechanics in the context. Gamification uses different elements such as principles, theories, characters and the player journey. The main goal is to keep the learner engaging solve the challenges.

These were some of the emerging and the latest trends in eLearning. Pick up your favourite enjoy the best way of learning.

× How can we help you? Available on SundayMondayTuesdayWednesdayThursdayFridaySaturday

DSLR stands for Digital single-lens reflex camera. It has a digital imaging sensor. In this kind of camera, the captured image can be viewed in the viewfinder when the shutter button is pressed. Its shown through the main lens rather than through a secondary lens, so the user knows what has been captured. 

He was a German psychologist who is known for discovering the forgetting curve. According to this curve, the biggest decline in memory happens within 20 minutes, and then 1 hour.