1
COGNITIVE
COMPUTING Place your screenshot here
BY KRIPA PIOUS
GUIDED BY
ASST. PROF ARCHANA MENON P
2
CONTENTS
- ABSTRACT -
1. INTRODUCTION
2. THE BASIS OF COGNITIVE COMPUTING
3. APPLICATIONS OF CC
4. AI VS CC
5. COGNITIVE COMPUTING LANDSCAPE
6. COGNITIVE FOR THE SOCIAL -USE CASES
7. ADVANTAGES OF CC
8. DISADVANTAGES OF CC
9. CONCLUSION
10. REFERENCES
ABSTRACT
● “Cognitive computing represents self-learning systems that utilize machine
learning models to mimic the way brain works”.
● Eventually, this technology will facilitate the creation of automated IT models
which are capable of solving problems without human assistance.
● The Cognitive computing is the imitation of the thought process of human beings
using a sophisticated computerized model.
● Many aspects of Cognitive computing and its applications are discussed in this
seminar.
3
1.INTRODUCTION
▸ Cognition is the mental action or process of acquiring knowledge by understanding
true thought,experience and the senses.
▸ Cognitive processes use existing knowledge and generate new knowledge.
▸ They continuously acquire knowledge from the data to understand human interaction
and provide answers.
▸ Cognitive technologies are products of the field of artificial intelligence.
4
▸ Cognitive computing allows a wide variety of problems previously
incapable of being solved by fixed program instructions to be calculable
and estimable.
▸ In order to achieve this new level of computing cognitive systems must
be :
5
❏ Adaptive
❏ Interactive
❏ Iterative
❏ Stateful
❏ Contextual
6
Black
Is the color of
ebony and of
outer space.
It has been
the symbolic
color of
elegan
Flexible systems
which learn as
information
changes,and as
goals and
requirements
evolve.
Flexible
systems which
learn as
information
changes,and as
goals and
requirements
evolve.
System which
interacts with
other
processes,devi
ces,cloud
services,as well
as with people
Understand
,identify and
extracts
contextual
elements.
Provides
information
that is suitable
for the specific
application at
that point in
time.
Iterative
process to
solve problems
which are
ambiguous
------------- FEATURES OF CC -------------
The Purpose
of cognitive
computing is
to perform
tasks that only
humans used
to be able to.
7
2.THE BASIS OF COGNITIVE COMPUTING
Machine Learning
Machine learning is the use
of algorithms to enable
computers to analyze data
and make predictions based
on the information fed to
them.
Big Data Analysis
Big Data Analytics is “the
process of examining large
data sets containing a variety
of data ,Thus we need
sophisticated tools to analyze
this big data.
Cloud Computing
To analyze huge amount of data
in real time it is required to have
extensive computing power.
8
3.APPLICATIONS OF COGNITIVE COMPUTING
9
CHATBOTS
SENTIMENT ANALYSIS
10
FACE DETECTION
RISK ASSESSMENT
11
---WORKING OF COGNITIVE ANALYTICS---
4.COGNITIVE COMPUTING VS ARTIFICIAL INTELLIGENCE
12
CC AI
● Cognitive computing learns & imitates
the human thought process
● AI solve a problem through the use of
best possible algorithm
● Cognitive computing doesn’t throw
humans out of the picture
● AI makes the final decisions at their own
● Augment human capabilities ● Automate processes
● Machine Learning,NLP,Neural
network,cloud computing,big data
analysis
● Machine Learning,NLP,Neural
network,cloud computing,big data
analysis
● Customer service,healthcare,industrial
Sector
● Finance,security,retail,manufacturing,go
vernment
13
5. COGNITIVE COMPUTING LANDSCAPE
MICROSOFT COGNITIVE SERVICE
IBM WATSON
COGNITIVESCALE
14
SPARKCOGNITION
15
1. ON EDUCATION SYSTEM
▹ Cognitive computing will give rise to personal cognitive assistants for students,
teachers and support staff.
▹ Yearbooks, financial statement, student reports, and other regular documentation
will be automatically handled by cognitive computing platforms.
▹ Personalised Notes and assessment materials
▹ Career guidance
▹ Act as a personal tutor, guiding students through their course work, explaining
problematic sections.
▹ Personalised cognitive assistant for students who go to international universities to
help them integrate with the place.
16
17
2. IN HEALTHCARE
● Helps patients to get better treatment, have a quicker recovery, and lead
improved lives, while doctors can diagnose better and save millions of lives.
● Faster Medical Research
● Improvement in daily processes
● Improved patient Interaction
● Diagnosis applications
18
19
IBM Watson Cognitive computer assisting cancer diagnosis
8.ADVANTAGES OF COGNITIVE COMPUTING
▸ Reduction in Human Error
▸ Prevention of wrong decision
by machines.
▸ Available 24x7
▸ Helping in Repetitive Jobs
▸ Digital Assistance
▸ Faster Decisions
20
9.DISADVANTAGES OF COGNITIVE COMPUTING
▸ Security
▸ Change management is another challenge as this technology has power to
learn like humans and behave like natural humans. Hence people are fearful
as they feel machines would replace humans in future.
▸ Lengthy development cycles and Costly
▸ Making Humans Lazy
▸ No Emotions
▸ Unemployment
▸ Lacking Out of Box Thinking
21
10.CONCLUSION
▸ As a part of the digital evolutionary cycle, cognitive technology adoption
starts with the identification of manual processes that can be automated using
the technology.
▸ Many companies such as IBM have already pioneered the cognitive
technology.
▸ With every passing minute, more data is being analyzed to gain insights into
past events and improve current and future processes.
▸ Not only does cognitive tech help in previous analysis but will also assist in
predicting future events much more accurately through predictive analysis.
22
▸ In the future, it is believed that such a technology will help humans become more
efficient than before.
▸ It will be in favor of all the organizations and humanity, at large, to start the
transition process and adopt innovative technology for a bright and much more
efficient future.
▸ Thanks to the Power of Cognitive Computing!
23
11. REFERENCES
[1] School of Computer Science and Technology, Huazhong University of Science and Technology,
430074, China 2Wuhan National Laboratory for Optoelectronics, Wuhan 430074, China.IEEE ,ACCESS
[2] Introduction to Cognitive Computing - DZone Big Data. dzone.com. (2021). Retrieved 28 February 2021,
from https://dzone.com/articles/introduction-to-cognitive-computing.Rohit Akiwatkar.,Technology
Consultant, Cloud services, Simform
[3] DEFINITION cognitive computing.
By Bridget Botelho, Editorial Director, News
Retrieved 28 February 2021, from https://enterprise.techtarget.com/definition/cognitive-computing.
[4] How Cognitive Computing Affects our Lives. https://www.pentalog.com/blog/cognitive-computing-tech-
innovation#. (2021). Retrieved 28 February 2021, author : Andrei Sajin Technical Expert - Software
Architect
[5] Cognitive-Computing-Whitepaper.pdf,Marlabs Inc. (Global Headquaters) One Corporate Place South,
3rd Floor Piscataway, NJ - 08854-6116,Senthil Nathan R Practice Head, BI, Data Science, & Big Data at
Marlabs
24
[6] Advantages of cognitive computing,disadvantages of cognitive computing. Rfwireless-world.com. (2021).
Retrieved 28 February 2021, from https://www.rfwireless-world.com/Terminology/Advantages-and-
Disadvantages-of-cognitive-computing.html.
[7] La Salle University La Salle University Digital Commons Mathematics and Computer Science Capstones,
Department of Spring , Stephen Knowles knowless1@student.lasalle.ed, Cognitive Computing Creates Value In
Healthcare and Shows Poten.pdf
[8] Role of Cognitive Computing in Education. (2021). Retrieved 28 February 2021, from
https://www.thetechnologyheadlines.com/most-popular/Cognitive-Computing-in-Education/
[9] Aftabhussain.com. 2021. Cognitive Computing and the Education Sector. [online] Available at:
<http://www.aftabhussain.com/cognitive_computing> [Accessed 28 February 2021].Aftab Hussain,Department
of Computer Science, University of Houston.
25
THANK YOU!
26

Cognitive computing ppt.

  • 1.
    1 COGNITIVE COMPUTING Place yourscreenshot here BY KRIPA PIOUS GUIDED BY ASST. PROF ARCHANA MENON P
  • 2.
    2 CONTENTS - ABSTRACT - 1.INTRODUCTION 2. THE BASIS OF COGNITIVE COMPUTING 3. APPLICATIONS OF CC 4. AI VS CC 5. COGNITIVE COMPUTING LANDSCAPE 6. COGNITIVE FOR THE SOCIAL -USE CASES 7. ADVANTAGES OF CC 8. DISADVANTAGES OF CC 9. CONCLUSION 10. REFERENCES
  • 3.
    ABSTRACT ● “Cognitive computingrepresents self-learning systems that utilize machine learning models to mimic the way brain works”. ● Eventually, this technology will facilitate the creation of automated IT models which are capable of solving problems without human assistance. ● The Cognitive computing is the imitation of the thought process of human beings using a sophisticated computerized model. ● Many aspects of Cognitive computing and its applications are discussed in this seminar. 3
  • 4.
    1.INTRODUCTION ▸ Cognition isthe mental action or process of acquiring knowledge by understanding true thought,experience and the senses. ▸ Cognitive processes use existing knowledge and generate new knowledge. ▸ They continuously acquire knowledge from the data to understand human interaction and provide answers. ▸ Cognitive technologies are products of the field of artificial intelligence. 4
  • 5.
    ▸ Cognitive computingallows a wide variety of problems previously incapable of being solved by fixed program instructions to be calculable and estimable. ▸ In order to achieve this new level of computing cognitive systems must be : 5 ❏ Adaptive ❏ Interactive ❏ Iterative ❏ Stateful ❏ Contextual
  • 6.
    6 Black Is the colorof ebony and of outer space. It has been the symbolic color of elegan Flexible systems which learn as information changes,and as goals and requirements evolve. Flexible systems which learn as information changes,and as goals and requirements evolve. System which interacts with other processes,devi ces,cloud services,as well as with people Understand ,identify and extracts contextual elements. Provides information that is suitable for the specific application at that point in time. Iterative process to solve problems which are ambiguous ------------- FEATURES OF CC -------------
  • 7.
    The Purpose of cognitive computingis to perform tasks that only humans used to be able to. 7
  • 8.
    2.THE BASIS OFCOGNITIVE COMPUTING Machine Learning Machine learning is the use of algorithms to enable computers to analyze data and make predictions based on the information fed to them. Big Data Analysis Big Data Analytics is “the process of examining large data sets containing a variety of data ,Thus we need sophisticated tools to analyze this big data. Cloud Computing To analyze huge amount of data in real time it is required to have extensive computing power. 8
  • 9.
    3.APPLICATIONS OF COGNITIVECOMPUTING 9 CHATBOTS SENTIMENT ANALYSIS
  • 10.
  • 11.
  • 12.
    4.COGNITIVE COMPUTING VSARTIFICIAL INTELLIGENCE 12 CC AI ● Cognitive computing learns & imitates the human thought process ● AI solve a problem through the use of best possible algorithm ● Cognitive computing doesn’t throw humans out of the picture ● AI makes the final decisions at their own ● Augment human capabilities ● Automate processes ● Machine Learning,NLP,Neural network,cloud computing,big data analysis ● Machine Learning,NLP,Neural network,cloud computing,big data analysis ● Customer service,healthcare,industrial Sector ● Finance,security,retail,manufacturing,go vernment
  • 13.
    13 5. COGNITIVE COMPUTINGLANDSCAPE MICROSOFT COGNITIVE SERVICE IBM WATSON
  • 14.
  • 15.
  • 16.
    1. ON EDUCATIONSYSTEM ▹ Cognitive computing will give rise to personal cognitive assistants for students, teachers and support staff. ▹ Yearbooks, financial statement, student reports, and other regular documentation will be automatically handled by cognitive computing platforms. ▹ Personalised Notes and assessment materials ▹ Career guidance ▹ Act as a personal tutor, guiding students through their course work, explaining problematic sections. ▹ Personalised cognitive assistant for students who go to international universities to help them integrate with the place. 16
  • 17.
  • 18.
    2. IN HEALTHCARE ●Helps patients to get better treatment, have a quicker recovery, and lead improved lives, while doctors can diagnose better and save millions of lives. ● Faster Medical Research ● Improvement in daily processes ● Improved patient Interaction ● Diagnosis applications 18
  • 19.
    19 IBM Watson Cognitivecomputer assisting cancer diagnosis
  • 20.
    8.ADVANTAGES OF COGNITIVECOMPUTING ▸ Reduction in Human Error ▸ Prevention of wrong decision by machines. ▸ Available 24x7 ▸ Helping in Repetitive Jobs ▸ Digital Assistance ▸ Faster Decisions 20
  • 21.
    9.DISADVANTAGES OF COGNITIVECOMPUTING ▸ Security ▸ Change management is another challenge as this technology has power to learn like humans and behave like natural humans. Hence people are fearful as they feel machines would replace humans in future. ▸ Lengthy development cycles and Costly ▸ Making Humans Lazy ▸ No Emotions ▸ Unemployment ▸ Lacking Out of Box Thinking 21
  • 22.
    10.CONCLUSION ▸ As apart of the digital evolutionary cycle, cognitive technology adoption starts with the identification of manual processes that can be automated using the technology. ▸ Many companies such as IBM have already pioneered the cognitive technology. ▸ With every passing minute, more data is being analyzed to gain insights into past events and improve current and future processes. ▸ Not only does cognitive tech help in previous analysis but will also assist in predicting future events much more accurately through predictive analysis. 22
  • 23.
    ▸ In thefuture, it is believed that such a technology will help humans become more efficient than before. ▸ It will be in favor of all the organizations and humanity, at large, to start the transition process and adopt innovative technology for a bright and much more efficient future. ▸ Thanks to the Power of Cognitive Computing! 23
  • 24.
    11. REFERENCES [1] Schoolof Computer Science and Technology, Huazhong University of Science and Technology, 430074, China 2Wuhan National Laboratory for Optoelectronics, Wuhan 430074, China.IEEE ,ACCESS [2] Introduction to Cognitive Computing - DZone Big Data. dzone.com. (2021). Retrieved 28 February 2021, from https://dzone.com/articles/introduction-to-cognitive-computing.Rohit Akiwatkar.,Technology Consultant, Cloud services, Simform [3] DEFINITION cognitive computing. By Bridget Botelho, Editorial Director, News Retrieved 28 February 2021, from https://enterprise.techtarget.com/definition/cognitive-computing. [4] How Cognitive Computing Affects our Lives. https://www.pentalog.com/blog/cognitive-computing-tech- innovation#. (2021). Retrieved 28 February 2021, author : Andrei Sajin Technical Expert - Software Architect [5] Cognitive-Computing-Whitepaper.pdf,Marlabs Inc. (Global Headquaters) One Corporate Place South, 3rd Floor Piscataway, NJ - 08854-6116,Senthil Nathan R Practice Head, BI, Data Science, & Big Data at Marlabs 24
  • 25.
    [6] Advantages ofcognitive computing,disadvantages of cognitive computing. Rfwireless-world.com. (2021). Retrieved 28 February 2021, from https://www.rfwireless-world.com/Terminology/Advantages-and- Disadvantages-of-cognitive-computing.html. [7] La Salle University La Salle University Digital Commons Mathematics and Computer Science Capstones, Department of Spring , Stephen Knowles knowless1@student.lasalle.ed, Cognitive Computing Creates Value In Healthcare and Shows Poten.pdf [8] Role of Cognitive Computing in Education. (2021). Retrieved 28 February 2021, from https://www.thetechnologyheadlines.com/most-popular/Cognitive-Computing-in-Education/ [9] Aftabhussain.com. 2021. Cognitive Computing and the Education Sector. [online] Available at: <http://www.aftabhussain.com/cognitive_computing> [Accessed 28 February 2021].Aftab Hussain,Department of Computer Science, University of Houston. 25
  • 26.