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Presented by:
G. Lakshmi Prasanna
168B1A0512
RISE Krishna Sai Gandhi Group Of Institutions
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
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.
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.
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.
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.
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.
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
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.
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.
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.
ANY QUERIES?
THANK YOU!☺

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I apps(ppt)

  • 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.