Artificial intelligence (AI) is leading the digital revolution by mimicking human brain functions like analyzing situations, performing complex calculations, and learning/evolving. AI uses deep learning via neural networks to learn without programming and machine learning to draw inferences from data faster and more accurately than humans. Current AI applications include data mining, automotive, computer vision, cybersecurity, robotics, and natural language processing. The future of AI from 2020-2030 may include quantum computing, climate change control, virtual reality simulation, and language translation without barriers. While natural intelligence has reasoning, intuition, emotions, AI has programmed knowledge, symbolic inputs, and learning curves without intuition or passion.

1. How Artificial Intelligence (AI)
is leading the digital revolution
Jayant Sinha
Principal Consultant
(Energy & Utilities)

2. Anatomy of AI
 AI - Coined by John
McCarthy
 Intelligent computer
programs
 Mimic human brain
 Analyze situations
 Perform complex
calculations
 Learn and Evolve
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Analytical
Skills
Cognitive
Skills
Computational
Skills
Patterning & Visualisation
Modeling & Simulation Logic and reasoning

3. Cognitive evolution
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Tabulating Era
1900-1950s 1950-Present
Programming Era
2015 - …
Cognitive Era

4. The Process
 Deep Learning uses a multi-layered
Artificial Neural Network (ANN) to learn,
without being explicitly programmed.
 Machine Learning uses ‘cognition’ and
mathematical calculations to draw
inferences from the data.
 AI is the overarching technology which
uses both and acts in a way a normal
intelligent person would, but much faster
and accurately.
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Artificial
Intelligence
(AI)
Machine
Learning
(ML)
Deep
Learning
(DL)

5. Applications
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Data Mining
Automotive
Computer Vision
Cyber Security
Robotics
Virtual assistants
Gaming
Natural Language Processing

6. Developments
 Watson AI Platform - IBM
 Natural Language Processing
(NLP)
 SIRI - Apple
 Cortana - Microsoft
 Alexa/ Echo – Amazon
 Google – Google Now
 Samsung - Bixby
 Vision Systems
 Fuzzy Logic
 Smart Wearables
 Robotics
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7. Use Cases
 Automobiles
 Aviation
 Medicine
 Finance & Commerce
 Utilities
 Education
 Defense
 Self driving vehicles
 Autopilots
 Nanobots
 Automatons
 Internet bots
 Smart machines
 Expert systems
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8. Convergence
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Courtesy: https://blogs.thomsonreuters.com

9. The Future (2020-2030)
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Quantum Computing
Cyber crime prevention
Search for Extra-terrestrial intelligence
Climate Change Control
Virtual Reality simulation
Gait recognition
Preventive Healthcare
Language ceases to be barrier

10. Natural vs Artificial
 Creative
 Knowledge acquisition is
inherent
 Works with sensory
experience
 Natural ability of reasoning
and logic
 Intuition
 Emotions
 Programmed knowledge
 AI works with symbolic inputs
 Capability of sensors
 Learning curve
 Often non-intuitive
 Dispassionate
1 0
Natural Intelligence Artificial Intelligence

11. Thank you!
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Jayant Sinha
E: jayant.sinha@enzen.com