Why big data automatic predictive modeling
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Transcript of Why big data automatic predictive modeling
May 2014Milorad Krneta
Soft10 Inc.
Big Data Predictive Modeling Software: Dr. Mo
Big Data Predictive Modeling
• Expectations • Requirements
• Note: • Small Data Predictive Modeling : 0s variables• Big Data Predictive Modeling : 00s, 000s, 0000s variables• All presented numbers were empirically established.
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Big Data Predictive Modeling Expectations
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Customer Picture
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Predictive Modeling
Small Data
Predictive Modeling Big Data
Conversion Rate
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Predictive Modeling
Small Data
Predictive Modeling Big Data
0.002%
2%
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Predictive Modeling Small Data
Predictive Modeling Big Data
0.02%
31%
Recommender-Engine Success Rate
Frequency of Successful Projects
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Predictive Modeling
Small Data
Predictive Modeling Big Data
Once a month
20x per month
Decision-making Risk
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Predictive Modeling
Small Data
Predictive Modeling Big Data
30%+
Less than 5%
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Predictive Modeling
Small Data
Predictive Modeling Big Data
2 weeks+
By hours, minutes
Decision Modeling Support required time
Big Data Predictive Modeling Requirements
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• Example:• Training file:
– 500 independent variables– 10 million records
• Prediction file • 50 million records• Big Data Prediction Delivery: 6 hours. • Small Data Prediction Delivery – Not possible at
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Speed: 000x faster than now
Small Data Predictive Modeling AccuracyBest-One Model Accuracy Example:ID= 4508179Prediction: Person making $100k, not married and male will choose Cadillac Sport with 37% probability
Big Data Predictive Modeling AccuracyMultiModel Accuracy Example:ID=45081791. Prediction: Person making $100k, not married and male will choose Cadillac Sport with 37% probability2. Prediction: Married person, house>4,000sq.ft. will choose Cadillac Sport with 28% probability3. Prediction: College educated person, self-employed, has cottage, frequent restaurants more than 3x per week will choose Cadillac Sport with 62% probability………………………………..
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Accuracy: much higher than now
Small Data Predictive ModelingBest-One Model Accuracy Example:
1. Person making $100k, not married and being male will choose Cadillac Sport with 37% probability
• Big Data Predictive Modeling Multi-Model Accuracy Example:
1. Prediction: College educated person, self-employed, has cottage, frequent restaurants more than 3x per week will buy Cadillac Sport with 62% probability
2. Person 35-39, high executive and not married will choose Cadillac Sport with 62% probability
3. Person with investment over $500k, married, being over 65 will choose Cadillac Sport with 62% probability
…………………….Soft10 Inc.
Accuracy: More Best Prospects
04/11/2023
Big Data Prediction Nature
• Big Data continuous feeds
• Big Data Predictive Modelingcontinuous prediction generation- objective predictions-new knowledge discovery-24/7 guided future action
2013 Soft10. All Rights Reserved. Confidential
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• NO:• Big Data Modeling Experts Cost is prohibitive since
there is no scale advantage with data volume • • Yes:• Big Data Modeling Cost must be scalable based on: License-usage fee + machine time
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Cost
• Anybody should be able to run Big Data Predictive Modeling
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Simple to run
• So, how can Big Data Predictive Modelling be made possible?
• Automatic: fast• Automatic: simple to run• Multi-Model: the highest accuracy• Multi-Model: the highest reliability• Technology Strength: 24/7 unlimited• ANYBODY can afford it
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Here is How Big Data Predictive Modeling Must Be:
The Big Data Predictive Modeling Revolution Man Versus Machine!
• Big Data Predictive Modeling Decisions are based on Predictions not on History!
• Big Data Predictive Modeling will bring Prediction Discoveries - all the time, literally!
•Soft10 Inc.
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04/11/2023
So, WHO is Big DataPredictive Modeler?
Dr. MoVirtual Data Miner
Virtual Predictive ModelerVirtual StatisticianAutonomous Decision Maker
2013 Soft10. All Rights Reserved. Confidential
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• Business Leaders by hiring Dr. Mo will drive Progress into:
MORE PRODUCTIVE, MORE RATIONAL, LESS UNCERTAIN
GREEN WORLD!
We stand by Green World.