Join Our Session
Date: Wednesday, October 21, 1:50pm
Building models is not the first step in adopting AI technology. Yet, many companies launch AI initiatives without having the right data infrastructure in place to effectively support their efforts. Without taking key steps with your data upfront, AI projects have a strong propensity to fail.
Join our panel discussion as we walk you through the steps leading organizations including MasterCard and Charter Spectrum have taken to lay the foundation for data science success.
Enter to win a virtual wine tasting* valued at $150 per person.
Jonathan Andrews, one of our panelists and also a certified sommelier, will lead participants on a wine tasting and educational journey of selected wines.
Wines will be delivered to the winners prior to the tasting. Please register for the panel and complete the contact form on this page to be entered to win.
*The winners will decide on a mutually agreed upon date and time for the tasting.
Dan Carmody – Director of Data Analytics and Intelligence at Mastercard
Dan leads the Data Analytics and Intelligence function within Mastercard’s Decision Management Platform. He has been with Mastercard for 9 years driving out solutions and leading a vast array of development teams to deliver high end products and services. In his current role, Dan has led the buildout of Mastercard’s real time streaming cluster using the Cloudera stack where hundreds of millions of events are processed daily and made available to customers within seconds fast analytics. Dan has also built out a Business Intelligence platform using Qlik focusing on Fraud products to deliver insight to customers.
Jonathan Andrews – Senior Director, IT Information Governance at Charter
Jonathan Andrews currently leads the Information Governance and Privacy Compliance team for Charter Communications IT Division and serves as senior advisor to Charter’s Corporate Information Governance Steering Committee. Jonathan has more than thirty years’ experience in developing and deploying solutions that provide positive disruption to clients ranging from small start-ups to multinational corporations across a wide variety of industries. He has focused on the underlying architecture of end-to-end solutions with a focus on the data space and has worked closely with technical/infrastructure and business architects to define standards and patterns on which solutions can be built. His background and experience provide him with a strong ability to communicate both with technical and non-technical clients and users, and he easily and often bridges the gap between the two groups. He is a leader in the fields of data architecture, systems data integration and consolidation, data and information governance, master data management, information risk management, and privacy compliance solutions.
When not providing his expertise in the IT field, Jonathan enjoys cooking, travel, sailing, and spending time with his wife and their four incredibly spoiled pets. He also enjoys fine food and wine having earned his certification from the Court of Master Sommeliers in 2005.
Henry Campbell Director – Advanced Analytics at Spire
Henry leads the Advanced Analytics team which is part of the larger Innovation and Technology group at Spire. His team is responsible for building and maintaining information and analytics streams to support insight across the organization. In his 9 years at Spire he has led dynamic teams that have brought improvements through technology and processes across Field Service, Operations, Sales and Marketing. In his current role, he is helping Spire modernize its analytics platform and create decisioning capabilities to support new pillars of data brought about by advances in meter infrastructure and measurement technology. In his spare time Henry enjoys beach trips, traveling, hiking with the dogs, cycling and spending time with his wife and daughter.
Kit Menke – Data Engineering Practice Lead at 1904labs
Kit leads the Data Engineering practice at 1904labs. His team focuses on building data pipelines and platforms, ensuring data governance, and helping clients develop a data strategy. Kit has primarily focused on the Hadoop stack including Scala, Spark, Hbase, and Solr and has been a frequent speaker at conferences and events including DataWorks Summit and StampedeCon. Kit is also the co-founder of local St. Louis startup, PETSHACK, that is developing Paw City – a mobile app that helps pet owners find pet-related interests and events near them.
Julius Ming’ala – Agile Engineering Lead, 1904labs
Julius Ming’ala brings over 25 years global experience in software engineering, transformation, portfolio management and sales. He brings a mixed background across varied landscape: Anheuser Busch, AT&T, FUJITSU, GE and in Emerging markets.
Watch our presentation from Prepare.ai 2019:
A virtual care center faces complex challenges to deliver effective care to its patients. We partnered with this client on a software and data engineering project to streamline data flows and work processes.
Introducing our newest author: A Deep Learning Language Model.
Decision Science is an iterative process that constantly evaluates the problem being solved, the data being used, and the models.