Driving innovation across our customer’s business lines is our prime focus. Our Artificial Intelligence services redefine the way businesses operate with the customers. We deliver end to end AI integrated apps covering a wide range of industries. Our AI services help to understand the data analysis of your business. This supports faster decision-making in the business and helps firms in eliminating repetitive tasks.
Our AI solutions focus in the direction of extending the human potential. Services include Natural Language Processing, deep neural networks, reinforcement learning, predictive analytics, and computer vision that creates competitive edge business solutions.
We share creative approaches to resolve the resource constraints to develop a robust and full-fledged Artificial Intelligence solution. Our expert team of app development ensures that our clients are empowered by Artificial Intelligence services. We convert your idea into reality to keep you looking smart and spontaneous, hardly matter how complex your AI App idea is.
Amazon’s Alexa is completely voiced recognization based technology with several derivative versions available, continues to expand its music, smart-home, and digital-assistant abilities. It’s a wireless speaker first, but capable of much more. Using nothing but the sound of your voice, you can play music, search the Web, create to-do and shopping lists, shop online, get instant weather reports, and control popular smart-home products—all while your smartphone stays in your pocket. Alexa is Amazon’s voice-control system. It lets you speak your wishes to an Echo smart speaker and see them fulfilled—at least simple ones, like dimming your lights or playing music tracks.
One of the UK’s leading Lottery providers:- We help the client to provide a solution using Alexa AI for their Mobile App. We have covered the below scenarios to cover all the user actions those are below:-
- User’s Access
- Initiate a Product purchase (Games, Products, and donation)
- Initiate a game
1.) During the initial phase of AI implementation using Alexa, requires to learn your voice. This is meant to be a one-time activity which requires Alexa to learn the user’s voice. Alexa will then automatically recognize you when you speak. To test it out, you can say, “Alexa, who am I?” It will tell you who it thinks you are, as well as which account you’re currently using. Once you create a voice profile, Alexa will speak personalized results to you. Alexa automatically understands it and instantly replied homework information to the student. Alexa can help to show student attendance with the command ‘Alexa, show my attendance’. Most of the reminders can be set using Alexa, the best example like Library books, as for specific date Student would return or exchange the book or study material using Library, so using Alexa automatically would send reminders for returning/exchanging the same. Another example like exam date,result date and next year admission date with command ‘alexa, please tell me nursery class exam date’,’alexa,please tell me nursery class exam date’and’alexa’,please tell me next year nursery admission date. Also it will help to update the Student profile in effective way.
2.) Digital audio assistants like Alexa is bringing clarity and improvement in education for students. So we have used Alexa’s best able to match the student needs, this will help Students to understand AI better in terms of effective education and learning. In education doctor project we have implemented Alexa in the educational games section. Students will see the games like ‘Guess the next letter’,’Table of a specific number’,’Addition and subtraction’,‘Correct the grammar of sentences’, ‘General knowledge, and quiz’ etc. We have observed that, by playing such kind of games, students are becoming more engaged in their learning, more motivated to pay attention and participate in various levels of competitions. Students are trying to use their working memory to solve problems, increasing their mental cognition. In these games, we have provided built-in storage so that students will come to know their last scores, and how many attempts they have made to clear the levels and how are they improving their while playing the games.
3.) The pharmaceutical industry has very good implementations of AI and Deep Learning. We are currently working on a prototyped version of one of our clients where we are trying to have an implementation of virtual assistance with chat-bot for giving services to customers to robust reporting delivery platform, and other information relates to their cases. The sample use case can be used just login to chat-bot and enter details of their case with either mobile number or email id or case id printed on their receipt. Depending upon validation and requested information and sensitivity of information either links or data requested will be sent to his mobile or email respectively to showcase 24 X 7 support. It might give a good understanding of the user for their case. It also helps the user in case they have to visit pathology for giving samples for blood/urine etc and need assistance so no efforts required from actual human for getting guidance for timing, address. They can be directly linked to Google maps from the current location or can get timing understanding as well as appointment fixture using virtual chat-bot making it easy. Other use case on which we are working is cancer diagnostic will be scanning whole images and based on previous results it might update knowledge base and will create analysis or will do analysis of any case with AI / Deep learning to give primary feedback which might guide or redirect pathologist to particular region which is considered as suspicious of cancer cell. This help to diagnose the problem with effective utilization of problem and can have primary second opinion automatically.