IEEE CIR : Individual Entity Journeys, Aggregated Entity Journeys and Process Maps

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An entity is a customer who interacts with an organization in several different ways that may be categorized as customer journey. Some customer journey examples include; a user phone call where one clicks on an option then gets transferred to a particular agent and then finally completes the call and a customer who may be browsing a website and then adds items to a cart and purchases something. This journey can be for any entity, not just a customer, but also for products, services, etc. For a company, to make decisions they cannot just look at each individual customer journey rather they need to look at the bigger picture and if necessary drill down to the individual customer journey. In this presentation, we will look at how to aggregate different entity journeys together to create what we call a process map. This way of combining gives us the actual process and derived from the data. We will look at examples of entity journeys and process journeys from the standpoint of a graph database. The major takeaways for the audience will be how to look at events happening over time and the final outcome and how they relate to each other. Please come and join use for an outstanding presentation on cutting-edge database technology. Please join us in learning more about Database theory and the real applications of cutting edge Database design.



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  • Date: 12 Nov 2020
  • Time: 06:00 PM to 07:00 PM
  • All times are (GMT-07:00) US/Mountain
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  • Starts 09 November 2020 03:55 PM
  • Ends 12 November 2020 06:55 PM
  • All times are (GMT-07:00) US/Mountain
  • No Admission Charge


  Speakers

Dr. Ashwin Pingali (ABD)

Biography:

Information Technology Engineer, Manager, and Expert Consultant

Chief Technology Officer for Aivante

 Ashwin Pingali has completed his PhD in Computer Science & Information Technology with the University of Colorado, Denver (All but Dissertation). An MBA in Operations, Information Systems and Marketing with the  Indian Institute of Management and a BS in Engineering Technology (Gold Medal Honors) with the Jawaharlal Nehru Technological University, Hyderabad India. Ashwin is currently working as the CTO for Aivante a health care fintech startup and Apps Consultants a company focused on bringing Big Data technologies into everyday business operations. Dr (ABD) Pangali Dissertation research on “How IT can change mental models to improve decision-making effectiveness” has lead him to curtail his theoretical academia pursuits for more applied research path. Ashwin’s current research focus and skills are in Artificial Intelligence, Deep Learning and Cognitive Computing, and his specialty is in bringing both graph based mathematical representations to healthcare expenditure contexts, creating probabilistic models of reasoning and using Big Data predictive technologies  to aid in the processing of large contextual graphs for actionable decision making.

Dr Panglai additionally consults with Dish Networks as a Data Scientist helping their budding Enterprise Data Science execute Predictive Modeling and Optimization projects in AdTech and Fraud Monitoring. Dr Pangali achievements at Dish Networks includes building a complex forecasting system to generate over 500,000 forecasts for improving yield management. Dr Pangali is currently working on Ad-Brain an initiative to embed AI into Ad capacity planning and pricing.





Agenda

An entity is a customer who interacts with an organization in several different ways that may be categorized as customer journey. Some customer journey examples include; a user phone call where one clicks on an option then gets transferred to a particular agent and then finally completes the call and a customer who may be browsing a website and then adds items to a cart and purchases something. This journey can be for any entity, not just a customer, but also for products, services, etc. For a company, to make decisions they cannot just look at each individual customer journey rather they need to look at the bigger picture and if necessary drill down to the individual customer journey. In this presentation, we will look at how to aggregate different entity journeys together to create what we call a process map. This way of combining gives us the actual process and derived from the data. We will look at examples of entity journeys and process journeys from the standpoint of a graph database. The major takeaways for the audience will be how to look at events happening over time and the final outcome and how they relate to each other. Please come and join use for an outstanding presentation on cutting-edge database technology. Please join us in learning more about Database theory and the real applications of cutting edge Database design.