Role of AI in E-Business & Challenges in Data Forensics

This presentation discusses the role of AI in E-Business and challenges in Data Forensics. It covers the benefits of AI in E-Business, challenges faced by digital forensics, and knowledge management practices in large organizations.

Knowledge based
system

Research paper 1
• The title of this journal paper is the role of artificial
intelligence based system in the electronic business.
• In this paper, the researcher provided information about
artificial intelligence.
• Moreover, the author also discussed the significance of
artificial intelligence technique in the field of e-businesses.

Introduction
• According to researcher term, artificial intelligence is defined
as the computer controlled system in order to perform
activities with respect to intelligent beings.
• This technology also develops and produce the features of
discovery, reasoning and generalizing.

Introduction
• E-business is defined as the process of transacting business
with the help of internet connectivity.
• Researcher evaluated that e-business is a computer-based
process which enables the consumer to buy and sell products
from any location.
• Amazon, eBay and flip kart all these are best examples which
use this technology.

Introduction
• The objective of this journal paper is to evaluate the
significance of AI technology in the area of e-business.
• There are many benefits of e-business:
• Easy and improve communication
• Enhance time of operations
• Easy to buy and sell products

Background
• The researcher observed that the AI technique changed many
improvements in business, learning, and medical industries.
• There are various activities executed with the help of e-
business such as e-Tailing, online staff training, website
marketing, and goods trading.
• Moreover, AI technology also increased the field of
personalization, intelligent agent info, and automation all
these are explained in this paper.

Methodologies
• This journal paper is comprised of the following phases:
• Supporting and helping automation industries
• The development and implementation of chatbot and artificial
intelligence assistants
• Enhancing recommendation to the users
• Reducing the fake feedbacks and reviews
• Accounts and businesses of multinational e-commerce
organizations are also recorded.

Conclusion
• From this research article, it is concluded that AI technology
plays a significant role in the e-business.
• This paper provided an in-depth analysis of AI technology and
its Importance.
• Moreover, the researcher also explained the potential of AI
and how this help for producing smart decisions.
• The potential effect of AI in e-business is also evaluated to
better consumer satisfaction, transaction, and effectiveness.

Future work
• In the future researcher will explain more about the AI
technology in e-business.
• Author will be conducted a study in order to reduce the rate of
AI vulnerabilities and threats.
• Moreover, they will produce more opportunities in the field of
business market.

Research paper 2
• The title of this journal paper is challenges and counter
measures to data forensic
• The goal of this paper is to highlights the issues which are
faced by the digital forensics.
• Researcher also explained the better solutions which are
application in counter measuring.

Introduction
• Data forensic is defined as computer forensic which is the
study of digital information.
• It is an extensive process which comprises various areas such
as preservation, recovery and analysis.
• There are major two kinds of data collected by the author
such as volatile data and persistent data.

Introduction
• There are many benefits of this process which are following:
• Reduce the rate of sampling risk
• Data of related kinds can be easily compared
• Easily identify the risk factors
• Trends are also evaluated and obtained
• Prevention of violating rules
• All these are common advantages of computer forensic by
which companies can maintain the rate of risk factors.

Background
• In this paper, the researcher explained the fundamental of
data forensics and recovered the digital evidence.
• Today, many researchers use the same forensic technique in
order to locate crimes like fraud, data theft, espionage, and
data breach.
• Moreover, this evidence required to be reliable and authentic
in order to collect the positive justification of actions.

Methodologies
• There are following methodologies explained and used by the
researcher:
• Scientific method
• Identification
• Data collection
• Presentation of crimes
• Determination of the issues
• Validation
• Analysis and evaluation of the threats

Conclusion
• In this investigation, paper researcher identified the challenges
and issues faced by digital forensics.
• The collected data and information are relevant to the
research objective Moreover, the author also identified the
stages of issues such as Technical factors and Legal issues.
• Lack of standardization and regulatory body produce data
forensics maleficent.

Future work
• In the future study, author will improve the quality of data for
better understanding about digital forensic.
• Moreover, they will collect the viewpoints of other experts
and improve effectiveness of paper.
• Researcher will add the quantitative research method for
better understanding of digital forensic challenges.

Researcher paper 3
• The title of this journal paper is Knowledge Management
practices in Large Organizations.
• There are following objectives of this paper:
• To enhance the experience in the field of knowledge
management practice
• To highlights the importance of knowledge management practice
in the area of huge companies.

Introduction
• Term knowledge management provides a platform for
organizations in order to control their activities.
• KM techniques offer the management of knowledge and
experience of personnel.
• The better adoption of knowledge management can enhance
real user value and competitive benefits.

Introduction
• There are various benefits of knowledge management in an
organization which are following:
• Enhancement in the business decisions
• Enhanced overall performance and productivity of business
• Increment in the innovation by using broader collaboration
• Increment of ability and quality of working

Background
• Term knowledge management was produced in 1996 and it
was indicated attention from companies managers.
• Information, management, organization, psychology and
sociology all these play a significant contribution to the
development of KM.
• Moreover, this approach focus on the goals and aims of the
business industry in order to enhance their efficiency and
productivity.

Background
• The complete process of KM produces a root which involves
structures, strategies culture, governance, and values.
• An external key element, for example, participation,
influences, consumers, stakeholders are also justified in this
process.
• There are major five recorded dimensions on which the
knowledge management is implemented on which KM process
implemented which are explained in this study.

Methodologies
• There are major three methods used by investigator:
• Quantitative survey technique
• Survey through questionnaire
• Analysis of information with the help of SPSS software

Conclusion
• This paper tested and evaluated the practice and performance
of knowledge-based management.
• The goals were subjected with the help of survey and
questionnaire Results analysed that communication,
procedure management and companies operations are used
more effectively through KM.
• Moreover, the researcher also focused on the issues faced by
knowledge management.

Future work
• In future, researcher will reduce the limitations and drawbacks
of current investigation.
• Future work will enhance the size of sample and
implementation with the help of another techniques.
• Moreover researcher will provide in-depth analysis about
knowledge management and add discuss their significance in
large companies.