Learn how AI Vs Automation works in 2024 Era

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1. ARTIFICIAL
INTELLIGENCE
VS
AUTOMATION

2. Introduction1
Key Differences2
Types of AI3
Types of Automation4
Applications of AI5
Contents

3. Applications of AI6
Applications of Automation7
Benefits of AI8
Benefits of Automation9
AI and Automation: A Synergistic
Relationship
10
Contents

4. Artificial Intelligence (AI) is the use of computer systems to simulate
human mental processes, such as interpreting and generating
language.
What is Artificial Intelligence (AI)?
AI refers to the simulation of human intelligence in machines that
are designed to think and learn like humans. This includes the
ability to understand natural language, recognize patterns, and
make decisions based on data.
What is Automation?
Automation involves using technology to perform tasks with
minimal or no human intervention. It often relies on pre-
programmed instructions and operates on established processes.
What is Artificial
Intelligence & automation

5. Key Differences
AI:
Learns from vast amounts of
data to improve its
performance over time.
Makes decisions by analyzing
information and identifying
patterns.
Capable of understanding
context, language, and even
emotions in some applications.
raph text
Automation:
Executes specific tasks
according to predefined rules
or scripts.
Focuses on repetitive, routine
processes that can be
programmed.
Lacks the ability to learn or
adapt beyond its
programming.

6. Narrow AI (Weak AI):
Designed to perform a specific task (e.g.,
virtual assistants like Siri, image
recognition systems, recommendation
engines).
General AI (Strong AI):
Hypothetical AI that possesses the ability
to understand, learn, and apply
intelligence across a wide range of tasks,
similar to human intelligence. This type of
AI is not yet realized.
Types of AI

7. Fixed Automation:
Involves mechanized processes that execute
repetitive tasks with little variation, often seen in
manufacturing (e.g., robotic arms).
Robotic Process Automation (RPA):
Software robots that automate rule-based tasks
within digital environments (e.g., data entry,
processing transactions).
Intelligent Automation:
Combines RPA with AI capabilities to handle
more complex tasks that require decision-making
(e.g., AI-powered chatbots).
Types of Automation

8. Healthcare
AI-driven
diagnostics,
predicting patient
outcomes, and
personalized
treatment plans.
Transportation
Autonomous vehicles
using AI for navigation
and obstacle
detection
Retail
Personalized
shopping experiences
through
recommendation
algorithms.
Applications of AI
Finance
Fraud detection,
algorithmic trading,
and risk management
through predictive
analytics.

9. Manufacturing
Automated assembly
lines for increased
production
efficiency.
Supply Chain
Management
Streamlining logistics
through automated
inventory
management
systems.
Marketing
Automating email
campaigns and social
media posting
schedules.
Applications of Automation
Customer
Service
Automated responses
through chatbots and
virtual assistants to
handle inquiries and
support.

10. Improved Efficiency:
AI systems can process and analyze data much faster than
humans.
Enhanced Decision-Making:
AI provides insights based on large datasets, aiding in
better strategic decisions.
Personalization:
AI tailors experiences based on user behavior, improving
customer engagement.
Benefits of AI

11. Cost Savings:
Reduces the need for manual labor and operational costs,
allowing for resource reallocation.
Consistency:
Delivers uniform results and minimizes human error in
repetitive tasks.
Increased Productivity:
Frees up human employees to focus on more complex and
value-added activities.
Benefits of automation

12. Data Privacy
Concerns
The need to collect
and store large
amounts of data raises
privacy issues.
High
Implementation
Costs
Developing and
implementing AI
systems can be
expensive and
resource-intensive.
Challenges of AI
Bias in
Algorithms
AI systems can reflect
and perpetuate
existing biases if not
properly trained.

13. Job
Displacement
Concerns
Increased automation
can lead to job loss in
certain sectors.
Limited
Flexibility for
Complex Tasks
Automation may
struggle with tasks
that require
adaptability or human
judgment.
Challenges of Automation
Maintenance
Costs
Automated systems
require ongoing
maintenance and
upgrades, which can
be costly.

14. Combining Strengths:
AI can enhance automation by providing
intelligence and adaptability, leading to smarter
processes.
Examples:
Intelligent chatbots that handle customer
service inquiries while learning from interactions
to improve responses.
AI and Automation: A
Synergistic Relationship

15. THANK YOU
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