WELCOME TO THE WORLD OF AI & ML 2 (2).pptx

Story of Artificial intelligence and Machine learning

1. WELCOME TO THE WORLD OF ARTIFICIAL INTELLIGENCE & MACHINE LEARNING Presentation By MR. BHUPENDRA KUMAR SAHOO

2. TABLE OF CONTENTS What is DL, ML & AI? Definition Early history Current status of AI Challenges of AI Future of AI Pros & Cons Conclusion

3. WHAT IS DL ,ML & AI? a MACHINE L MACHINELEARNING DEEP LEARNING ARTIFICIAL INTELLIGENCE SUBSET OF MACHINE LEARNING WHICH FOLLOWS NEURAL NETWORKING. COMPUTERS THAT CAN IMITATE HUMAN INTELLECT AND BEHAVIOUR. STATISTICAL ALGORITHMS THAT ENABLE AI IMPLEMENTATION.

4. DEFINITION AI refers to the stimulation or approximation of human intelligence in machines. Founder:-John McCarthy ESTD:-1960

5. EARLY HISTORY OF AI & ML History Of Artificial Intelligence & Machine Learning John Mccarthy Coinrd Term “Ai” Computer Become Affordable The Time When It All Started The Year Of Artificial Intelligence 1950 1955 1974 1980 Landmark OF AI ESTABLISHMENT ACHIEVED 2000

6. CURRENT STATUS OF AI & ML HEALTHCARE SURVEILLANCE VIRTUAL ASSISTANCE ROBOTICS E-COMMERCE MARKETING CUSTOMER SUPPORT SOCIAL MEDIA AI & ML

7. CHAIIENGES IN ADOPTION OF AI & ML Lack Of Enabling Data Inadequate Available Of Expertise Low Intensity Of AI Search High Resource But Low Adoptation Unattractive Intellectual Incentivize Research & Adoptation Of AI Unclear Privacy, Security,

8. KEY CHALLENGES IN AI & ML AI Algorithm Bias Black Box Problem Requirment of High Computing Power Complicated AI Integration Legal Concerns Lack Of Understanding Lack Of Implementation Strategies

9. FUTURE OF AI,ML & DL AI , ML & DL DASHBOARD /BL TOOLS INTEGRATIONS SUITE DATA STORAGE ANALYTICS IMPLEMENTATION INDUSTRY EXPERTS DATA SCIENCE SERVICE

10. JOBS IN AI & ML Computational Philosopher Robot Personality Designer Robot Obedience Trainer Infrastructure Designer Autonomous Vechile Designer AI & Ml Cyber Security Expert Algorithmic Trainer

11. APPLICATIONS USED IN AI

12. Top 10 ai applications REPLIKA REPLIKA PLUS AI SEEING AI CHATGPT LENS AI OTTER AI BING ALEXA ELISA AI

13. PROS & CONS OF AI & ML CONS PROS LACKA IN CREATIVITY & KNOWLEDGE NO IMPROVEMENT WITH EXPERIENCE LEADS TO UNEMPLOYMENT INCURRS HIGH COST ACCURATE IN DECISION MAKING APPLICATION IN MEDICAL INDUSTRY RATIONAL DECISION MAKER DOESN’T GET TIRED & WEAR OUT EASILY

14. WHY AI & ML HARMFUL FOR HUMANS? Autonomous Weapon Social Manipulation Track Of Information Without Consent Invasion Of Privacy & Social Grading Deepfakes Job Displacement Privacy Concerns

15. CONCLUSION AI In Its Current State Is Definitely An Efficient Tool In The Softwere Industry. It Allows For A New Way Of Thinking, Coding And Provides Logic A Lot Of Human Problems Include FASCINATING AREA Now Is The Time To Think Through The Implications All Very Early And Experimental AI Solves Majority Of Problems Or Achieve The Task Which We Humans Directly Can’t Accomplish.

16. THANK YOU!