Recommendation Engine and Machine Learning using Planning in a Box using Tableau and Google
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Recommendation Engine and Machine Learning using Planning in a Box using Tableau and Google
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Recommendation Engine and Machine Learning using Planning in a Box using Tableau and Google
- 2. Manju Devadas • 25+ years End to End Value Chain experience • 15+ years Enterprise IT experience • 10+ years Management Consulting experience • Business Process Transformation • Mobile, Cloud and On Premise Expertise • IT Strategy (On Premise, Cloud)Sales & Marketing, CRM, Quote to Cash, Supply Chain expertise Salil Amonkar • 20+ years experience • Supply Chain and Hi tech Domain Expert • MS, MBA and BE in Info Technology • Cloud Computing – GCP, AWS, IOT • Cloud, Mobile, IoT Devices deep technical expertise • Cisco, Netgear, Google, SFDC and Oracle experience and partnerships
- 3. Presenter Context Setting Manju Devadas 5 min Manju Devadas & Salil Amonkar Pluto7 Team
- 4. Presenter Context Setting Manju Devadas 5 min Introduction to ML & Supply Chain Use Cases Manju Devadas & Salil Amonkar Pluto7 Team
- 5. For example, a "Narcos" viewer was, after binging on tales of a Colombian drug lord, apt to stream "Pulp Fiction." After indulging in the chills and thrills of series like "Stranger Things" and "American Horror Story," folks turned to sunnier fare like "Zootopia" and "Mean Girls." All of the above are recommendations that tell us what to sell to these customers based on their behavior(s)
- 8. converting raw data to useful information for the business )
- 9. forecasting
- 10. Forecast accuracy is measured as difference between the forecasted numbers when compared to actuals.
- 11. Data access to a variety of data sources. Develop and build analytic models. Data preparation, exploration and visualization. Deploy models and integrate them into business processes and applications. High performance and scalability for both development and deployment. Perform platform, project and model management.
- 13. Data Preparation and Cleansing Machine Learning Built for Forecasting Forecasting Continuously + Recommendations = Real Time Demand Management Cloud On Premises Machine Learning APIs Train Your Own Models
- 14. HTTP request Pre-ProcessingData Storage Training flow Prediction flow Local training Download Mobile prediction Batch Online Training Prediction Tooling Datalab Datalab Tooling Upload Hosted Model
- 15. Presenter Context Setting Manju Devadas 5 min Introduction to ML and Supply Chain Use Cases Other Use Cases Manju Devadas & Salil Amonkar Pluto7 Team
- 16. • Context embedding with forecasting and predictive analytics • Right price to charge at the right time to get the most margin and closed sale • Match location with user preference based on time window and third party data
- 19. Presenter Context Setting Manju Devadas 5 min Introduction to ML Use Cases Visualizing insights in Tableau Manju Devadas & Salil Amonkar Pluto7 Team
- 24. LinkedIn - Search for Moderator Manju Devadas, Salil Amonkar Email - manju@pluto7.com, salil@pluto7.com Phone: 510-676-5064 / 408 824 9213 If you would like to present in the next round, please email the moderators above References : http://online.tableau.com, http://pluto7.com , www.planninginabox.com