Why should an organisation invest in predictive analytics? What impact could it have on my business? What metrics should I measure and track? Predictive analytics might not be the panacea to every dilemmas but it can certainly help create cross-sell and up-sell opportunities, predict and manage operations, drive brand loyalty, identify and target customers and save the planet. Business today need to harness this capability to drive value to their customers and increase intrinsic performance targets. This talks aims to highlight some aspects of business impact most realised when using predictive analytics.

1. BUSINESS IMPACT OF PREDICTIVE ANALYTICS
“The price of light is far less than the cost of darkness”
Chandan Rajah - CEO, Parallel AI [ @ParallelAI ]

2. BUSINESS IMPACT
OPERATION EFFICIENCY REVENUE GENERATION
ENGAGED AUDIENCE CUSTOMER RETENTION

3. PREDICTIVE ANALYTICS
PERSONALISATION
FORECASTING WHAT-IF ANALYSIS
DEEP LEARNING

4. APPLICATIONS OF PREDICTION

5. PREDICTING BROADBAND FAILURES

6. PREDICTING BROADBAND FAILURES

7. ESTIMATING RISK EXPOSURE

8. DETECTING CONTENT FRAUD

9. PERSONALIZED RECOMMENDATIONS

10. INCREASING RETENTION

11. RECAP OF IMPACT
OPERATION EFFICIENCY REVENUE GENERATION
ENGAGED AUDIENCE CUSTOMER RETENTION

12. LAST WORDS OF WISDOM
NOT ALL ROADS LEAD TO ROME
TIME VALUE OF DATA KNOWLEDGE IS POWER
I AM AN INDIVIDUAL

13. “The price of light is far less than the cost of darkness”