Artificial Intelligence (AI) is a field of computer science that focuses on creating intelligent machines capable of simulating human-like cognitive functions.

1. THE EVOLUTION AND
IMPACT OF ARTIFICIAL
INTELLIGENCE
A JOURNEY FROM ITS ORIGINS TO TODAY'S TRANSFORMATIVE
EFFECTS
BY ORCHID

2. INTRODUCTION
• Introduction to Artificial Intelligence (AI): AI refers to the
development of computer systems capable of performing tasks that
typically require human intelligence, such as visual perception,
speech recognition, decision-making, and language translation.
• Importance of AI: AI has become a cornerstone of modern
technology, influencing various aspects of our lives, from business to
healthcare and entertainment.
• Presentation Overview: This slide provides an outline of the
presentation's structure

3. ORIGINS OF AI
• Definition: The study of AI dates back to the 1950s, with the
term coined at the Dartmouth Workshop in 1956.
• Early Milestones:
• Alan Turing's Turing Test.
• John McCarthy's coining of the term "Artificial Intelligence."
• Influential Figures: Mention key pioneers like Alan Turing and
John McCarthy.

4. AI TECHNOLOGIES OVER TIME
• Definition: AI has evolved through various phases, including rule-
based systems, expert systems, machine learning, and deep learning.
• Timeline:
• 1950s: Early AI research begins.
• 1980s: Expert systems gain popularity.
• 1990s: Machine learning revival.
• 2010s: Deep learning breakthroughs.
• Data: AI research and investments have grown exponentially over the
years, with $102 billion invested in AI startups in 2020 (CB Insights).

5. AI APPLICATIONS
• Definition: AI is applied across numerous industries to enhance
efficiency, decision-making, and innovation.
• Examples:
• Healthcare: AI in medical imaging for diagnosing diseases.
• Finance: AI-powered robo-advisors for investment recommendations.
• Automotive: Self-driving cars using AI for navigation.
• Data: Statistics on the adoption and impact of AI in these
sectors.

6. IMPACT ON THE ECONOMY
• Definition: AI contributes significantly to economic growth and
job creation.
• Economic Impact:
• By 2030, AI could add $15.7 trillion to the global economy (PwC).
• Job Creation:
• AI could create 2.3 million jobs by 2030 (Gartner).

7. IMPACT ON SOCIETY
• Definition: AI is transforming society through everyday
applications and services.
• Examples:
• Smart Assistants: Alexa, Siri, and Google Assistant.
• Entertainment: AI-driven content recommendations on Netflix.
• Data: Statistics on the widespread use of AI-powered products
and services.

8. ETHICAL CONCERNS
• Definition: Ethical concerns in AI include issues like bias,
privacy, and transparency.
• Bias:
• AI algorithms can exhibit bias, leading to unfair outcomes.
• Privacy:
• Data breaches and privacy concerns related to AI systems.
• Responsible AI: Emphasize the importance of ethical AI
development.

9. ENVIRONMENTAL IMPACT
• Definition: AI's energy consumption and carbon footprint are
environmental concerns.
• Energy Consumption:
• Training large AI models can consume vast amounts of energy.
• Sustainability:
• Efforts to develop energy-efficient AI hardware (e.g., Google's TPU).

10. FUTURE OF AI
• Definition: The future of AI holds promise with continued
advancements.
• Prospects:
• AI in healthcare is expected to save up to $150 billion annually by 2026
(Accenture).
• AI in education is projected to reach $3.7 billion by 2027 (Global Market
Insights).

11. CONCLUSION
• Recap the key points from the presentation.
• Emphasize AI's ongoing importance in shaping our world.

12. QUESTIONS
• Encourage questions from the audience to foster engagement
and discussion.
Remember to use visuals, charts, and graphs as needed to
enhance the presentation's visual appeal and convey data
effectively.