Meeting/Event Information

Please join us to discuss Data Governance in the Cloud, Maturing the Data Lake... and chatGPT!

Breakfast and catered lunch are provided.

SPEAKERS:

April Reeve -- "Maturing the Data Lake - from Big Data Store to Advanced Analytics Enablement"

April Reeve has spent the last 35 years working as an enterprise data architect and program manager. She has architected and implemented data strategies, new data technologies, and data management programs for many financial services and health science organizations. April is an expert in multiple Data disciplines including Data Integration and Migration, Big Data, Data Governance, Data Warehousing, Business Intelligence, Master and Reference Data Management, Document Management, and Metadata. She is the author of “Managing Data in Motion: Best Practice Data Integration Techniques and Technologies” published by Morgan Kaufmann and the Data Integration and Interoperability chapter of the Data Management Association Data Management Body of Knowledge (DAMA DMBoK).

Follow April Reeve on social media at @DataGrrl

Maturing the Data Lake – from Big Data Store to Advanced Analytics Enablement

This presentation is an overview of architectural steps taken from initial Data Lake creation to having an efficient support for Big Data Analytics. Initial high level descriptions of a Data Lake just mention putting data in but rarely cover the steps needed to efficiently enable getting data out to enable Big Data Analytics.  In order to effectively use the Data Lake for Big Data Analytics, additional capabilities and management need to be put in place. This presentation will outline experience with maturing a Data Lake from raw data store to analytics enablement:

•       Initial implementation: Ingesting data into a cloud Data Lake
•       Additional tools: Allowing fine grain security, integration, filtering, and masking
•       Managing the Data Lake: Creating an inventory and classifying privacy, security, and responsibilities
•       Enabling efficient analytics: Search, request, approve, provision

Peter Carr -- "Lessons Learned driving Data Governance in the Cloud"

Mr. Carr is a CapTech Principal.  He is a thought leader in the area of data and analytics.  With over 25 years of data management experience and with an expertise in data governance and data privacy, Mr. Carr has a constant focus on continually learning and evolving organizational data architectures. Mr. Carr regularly meets with current and prospective clients, vendors, and industry analysts to discuss current business challenges as well as approaches to solving these challenges. His core skills include data privacy, strategic planning, solution design, data architecture, data integration, and data governance. Prior to joining CapTech, Mr. Carr’s career included work at McKinsey & Company, Exxon Mobil, Informatica, Northrop Grumman Information Technology, and Serco. He also co-founded a China-based start-up company that operated in Shanghai, China, in the late 1990s. Mr. Carr serves on the leadership board for DAMA RVA, he also serves on the Board of Advisors for the University of Virginia’s McIntire School of Commerce Analytics Department.  Mr. Carr advises several startup’s and nonprofits operating in Richmond, Virginia. Mr. Carr holds a B.S. in Commerce and an M.S. in Management of Information Technology from the University of Virginia’s McIntire School of Commerce.  Mr. Carr enjoys being a guest lecturer at the University of Virginia, Virginia Commonwealth University, and the College of William and Mary.

Paola Siemion - "Generative AI and ChatGPT are galvanizing business leaders’ interest in the transformative power of AI"

Paola Siemion is an Artificial Intelligence & Digital Strategist at Slalom Consulting. She brings over twenty years of experience guiding clients through an ever-changing digital landscape. Paolas main focus area is introducing digital innovation through artificial intelligence with a human touch. 

In this session, we will cover the following: 

• What is ChatGPT and Generative AI?
• What can this technology do for a business? 
• What risks does it introduce to my organization? How can these risks be mitigated?
• What can other AI technologies should be considered to meet business goals such as decreasing costs, maximizing revenue, and increasing personalization and customer engagement?

AGENDA

8:45 - 9:15      Registration, coffee and breakfast 

9:15 - 9:20      Opening Remarks, DAMA Philadelphia chapter update

9:20 - 11:00a    Speaker April Reeve –  "Maturing the Data Lake - from Big Data Store to Advanced Analytics Enablement"

11:00 - 11:10a   Break

11:10 - 11:55a   Speaker Peter Carr -- "Lessons Learned driving Data Governance in the Cloud"

LUNCH

1:00  -1:15p   DAMA Philadelphia Chapter Sponsor – Quest (makers of erwin) and Myriad Solutions

01:15 - 2:15p  Speaker Paola Siemion - "Generative AI and ChatGPT are galvanizing business leaders’ interest in the transformative power of AI"

2:15  -  2:30p   Chapter Elections -- Ray McGlew, Past President

*Proudly hosted by Slalom Consulting.