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Data science can analyze patterns in digital footprints to predict likely human actions, such as purchases or preferences. While it improves decision-making and personalization, it cannot fully capture emotions or randomness, making predictions probabilities rather than guaranteed outcomes.
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Can Data Science Really Predict Human Behavior? www.iabac.org
Everyday Example Netflix suggests your next binge Ads follow you after one Google search Question: Is it coincidence… or prediction powered by data science? www.iabac.org
What is Data Science? A field that turns raw data into useful insights Uses statistics, algorithms, and computing power Goal: find patterns, make predictions, guide decisions www.iabac.org
Our Digital Footprints Social media posts, likes, and shares Shopping history (online & offline) Fitness trackers and health apps Location data from smartphones Every action = a piece of behavior data www.iabac.org
Tools of Prediction Machine Learning: finds patterns in past behavior Natural Language Processing: understands emotions in text Recommendation Systems: predict what you might want next Together, they build a behavioral “map” of individuals www.iabac.org
Real-World Applications Entertainment: Spotify & Netflix predicting tastes Finance: Banks spotting fraud before you notice Healthcare: Early signs of illness from lifestyle data Business: Predicting customer churn or loyalty www.iabac.org
Why It’s Useful Personalized experiences for users Prevents risks and fraud Helps businesses save costs & improve services Offers early warnings (health, security, retention) www.iabac.org
The Challenges Human behavior is emotional and unpredictable Data can be biased or incomplete Ethical issues: privacy, consent, and fairness Prediction = probability, not certainty www.iabac.org
So, Can It Really Predict? Yes: It predicts patterns and trends with high accuracy No: It cannot capture full human complexity Best role: a supportive tool for decisions, not a mind-reader www.iabac.org
THANK YOU www.iabac.org