Peer Advantage Group Reference Lunches

One-two representatives from the Peer Advantage host account will eat lunch at a table with up to nine individuals from prospect or customer accounts. The purpose is to allow prospect/customer participants to ask questions and engage in an informal discussion. No formal presentation will be offered. Direct competitors are prohibited. Two people per attending company may register for each table.

Demand is likely to be high – ensure you book early to secure your meeting. Contact your account representative or email Peer.Advantage@Teradata.com for more information.

Monday 8 April, 12:15-14:00pm

PARIS on Level 1 (left side)

Gioele Casola – Data Scientist Reliability and Carmon Hesse, Senior IT Specialist, Delivery Service Manager (DSM)

Topics: Teradata QueryGrid™, Teradata Data Lab; Cloudera, PS Architecture & Design Services, Performance Management Services, CS Business 8 x 5, Managed Services, real world evidence and data analytics.

Jan Romportl – Chief Data Scientist

Topics: Machine Learning; Deep Learning, Neural Networks; Natural Language Processing; Customer Lifecycle Management; Business Intelligence; Teradata QueryGrid™; Teradata Appliance for Hadoop; Hortonworks; Consulting Services; Business Uses: Compliance / Regulation, Churn detection/prevention, Click-Stream Analysis or Cross-channel Digital Intelligence, Customer Management, Customer Value, Spend Analytics, Usage analytics.

Sead Pasalic – Head of Data Discovery, Group BI, CFO Office

Topics: Data and Analytics Ecosystem comprising Data discovery, Appcenter, operational data lake and streaming data ingestion via Kafka, delivering real time feeds for the CRM Digitalization Journey. Managing customer expectations, targeting customer behavior, extensive regulatory requirements and increasing competitive pressures.

Ksenija Draskovic – former Associate Fellow – Head Data Scientist

Topics: Advanced Analytics by enabling data scientists to do predictive modeling using AI and machine learning, Verizon’s Advance Analytics Solution supports customer retention by understanding what drives churn and the customer experience. By integrating the results of the analytics within business processes, Verizon has consistently high customer satisfaction and the best churn rates in the industry in the United States over an extended period.

Gary Class – Senior Vice President

Topics: Discuss the business context of their Customer Interactions Project and the resulting motivation to acquire Teradata for big data, including using complex analytics to drive customer satisfaction; Discuss the successful application of advanced analytics at Wells Fargo, leveraging the Teradata tool-kit and the benefits of the application of multi-genre analytics.

Tuesday 9 April, 12:15-14:00pm

PARIS on Level 1 (left side)

Jorge García Romaris – Data Warehouse Manager

Topics: Active Intelligence, Customer Interaction Manager (CIM), Teradata Finance Foundation Solution, Teradata QueryGrid™, Hadoop, Using the EDS for: Compliance & Regulation, Customer Management, and Customer Value.

Charles Girard – Chief Customer Data Officer and Eric Poutrin, Enterprise Information Architect

Topics: Business intelligence, Data migration and consolidation, Operational excellence and service improvement, Data Quality, Teradata Active Systems Management, Mixed Workloads, Global EDW, Data Governance, Business Continuity.

Adam Gold – Manager Fleet Programs

Topics: Leveraging Teradata as the single source of data to improve the planning process. Analytics such as tracking/trending workload accomplishment. Machine learning capabilities.

Dustin Spangler – VP of Data and Analytics

Topics: Teradata IntelliCloud™, Integrated Data Warehouse, Ecosystem Enabling Software (Teradata Data Lab, Teradata QueryGrid™), Microsoft SQL migration, Use of third-party applications (Attunity, Wherescape Red).

Jonathan Ratcliff – Managing Enterprise Architect and Richard Flower, O2 Chief Architect

Topics: Telefonica UK Limited’s data-driven journey and next-generation transformation on IntelliFlex® 1.0 and 2.1, including a data mart refresh, consolidation of the EDW environment, and data lake ecosystem. Can also address business value and long-term data strategy. Teradata Hosting Options and Considerations.

Ksenija Draskovic – former Associate Fellow – Head Data Scientist

Topics: Advanced Analytics by enabling data scientists to do predictive modeling using AI and machine learning, Verizon’s Advance Analytics Solution supports customer retention by understanding what drives churn and the customer experience. By integrating the results of the analytics within business processes, Verizon has consistently high customer satisfaction and the best churn rates in the industry in the United States over an extended period.

Dr. Holger Muster – Principal Data Scientist

Topics: All areas of Data Science, with a special focus on fraud modelling (including Churn prediction, CLV, segmentation, etc.). Fraud modeling in real-time environments, using Spark, Kafka, R, and Python where the Teradata EDW is deeply integrated.

Share on facebook
Share on twitter
Share on linkedin