2. Introduction
What Is An I-App Means?
Specialities Of I-apps
Applications In Business
Examples Of I-apps
How It Is A Future Technology?
Conclusion
Abstract
CONTENTS
3. ABSTRACT
Due the advent of smart-phones, we saw a plethora of apps which was developed to seek
information and assist with day to day activities.
Now a days, technological innovation in cloud infrastructure and machine learning laid as a
foundation for tomorrow’s Intelligent Apps.
4. INTRODUCTION
Intelligent apps are the innovative invention or Artificial-Intelligence which acts as supportive
leaders for entrepreneurs.
These apps can study our behaviour and choices and thereby make contextual predictions.
They can differentiate between relevant and irrelevant information with the help of
AI algorithms.
5. WHAT IS AN I-APP MEANS?
I-Apps are the application which acquires real-time and historical date from user interactions and
other sources in order to provide suggestions and make predictions.
I-App is an application that not only know how to support key-user decisions but also learn from
user interactions.
Data analytics and machine learning are the core components of Intelligent apps.
6. SPECIALITIES OF I-APPS
I-apps work on a vast amount of data.
Continuously adapting.
Relevant and Contextual.
Action-oriented.
Contribute to enhancing output, boost up response time.
7. APPLICATIONS IN BUSINESS
Intelligent apps are paving the way for speedier business decision making.
Organisations can develop intelligent apps with the future to alert employees about emails who urges quick
actions.
Since past decades, managers are focusing to add intelligent apps to their blue-print.
Another attraction for large corporations and start-ups go for I-Apps is adaptability.
In future, corporations will continue their legacy tools to find out the leverage IA to extend their business
processes.
8. EXAMPLES OF I-APPS
There are ten top intelligent apps are there. They are,
1. Cortona 2. Siri
3. Google
Assistant
4.Fyle 5. Socratic
6.ELSA 7.Alexa 8.DataBot 9.Hound 10.youper
9. I-APPS STRATEGY
SYNC ME -- Apps, content and information are made available across devices and
shared contextually.
SEE ME -- Data is continuously collected about users and their devices to gain an
understanding of user’s context.
KNOW ME -- Data is used to understand user’s needs, and to proactively offer
products and services based on pattern recognition and other machine-
learning approaches.
BE ME -- This involves developing intelligent apps and services that act on user’s
behalf.
10. HOW IT IS A FUTURE TECHNOLOGY?
• Undoubtedly, the future generation fills with the I-Apps.
• It improve the efficiency of the workforce, obtaining better results.
• They can act as your personal assistant by being capable of getting necessary work done on time.
• I-apps can study our behaviour and choices and thereby make contextual predictions.
11. CONCLUSION
They provides insights at the point of decision.
Delivered in whatever way is best Mobile, Web, IOT Systems.
For user self service.
I-Apps are fit best to this fast-moving world and makes easier the users with varied aspects.