This document discusses intelligent apps (I-apps), which are apps that utilize artificial intelligence and machine learning to provide contextual predictions and suggestions based on user data and interactions. I-apps can learn from user behavior over time to differentiate relevant from irrelevant information. Examples of popular I-apps include Cortona, Siri, Google Assistant, and Alexa. The document argues that I-apps will be increasingly important as future technologies, as they can act as personal assistants, improve workforce efficiency, and provide insights based on patterns in user data.

1. Presented by:
G. Lakshmi Prasanna
168B1A0512
RISE Krishna Sai Gandhi Group Of Institutions

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.

12. ANY QUERIES?
THANK YOU!☺