What we’re about
Philly IoT Meetup is a group for anyone interested in creating, building, learning, working, participating in, or just talking about the Internet of Things (IoT) and Artificial Intelligence. We are building a community of IoT and AI enthusiasts in Philadelphia and our surroundings. Our goal is to bring in speakers from Philadelphia and beyond to educate and inspire our members so that Philly can develop as a hub of IoT innovation. We welcome all who are interested in learning more about the future of technology.
Upcoming events (2)
See all- CDMP Study Session – Data Quality (session 2 of 2)Link visible for attendees
- ATTENTION! Please register HERE to receive the link for the ZOOM meeting.
DAMA Philadelphia will be running bi-monthly CDMP study and discussion sessions. These sessions should help participants prepare for taking the CDMP Fundamental and Specialist exams and are also useful to those who want to understand more about the Data Management subjects but are not planning on taking any exams.
In November we’ll have two sessions covering the Data Quality chapter of the DMBoK. The second session will be a continuation, not a repeat of the first Data Quality session. The Data Quality chapter has had the most changes in the updated DMBok that was released earlier this year.
As with all the study sessions in the series, this event will be interactive among the participants.- Business Drivers, Goals, and Principles
- Defining Data Quality
- Data Quality Dimensions
- Data Quality Business Rules and Metrics
- Data Profiling
- Root Cause Analysis
- Data Cleansing
- Relationships with other areas – Data Governance, Metadata, Data Integration, etc.
Those studying with us should obtain a copy of the revised DAMA Data Management Body of Knowledge (DMBoK) 2nd edition (revised in 2024) and should read the Data Quality chapter prior to the study session to get the most benefit.
https://technicspub.com/dmbok2/
This study session will be coordinated by April Reeve, who holds a CDMP at the Master level. April is an expert in multiple Data disciplines including Data Integration, Big Data, Data Catalogs, Data Quality, Data Strategy, Business Intelligence and Analytics, Master Data Management, and Data Governance. She is the author of the Data Integration chapter of the DMBok as well as “Managing Data In Motion: Best Practice Data Integration Techniques and Technologies” published by Morgan Kaufmann. - Data Catalog - Holistic Data Governance - Navigating Generative AIDepartment of Behavioral Health and Intellectual disAbility Services, Philadelphia, PA
Please register HERE to be added to the list at the security desk.
We will be joined by Mike Pickart (Informatica) and David Kowalski (MIDAS Advisory Services)
The presentation -
Navigating Generative AI: Foundational Strategies for Effective Data Management, Governance and Cataloging
Mike Pickart is a dynamic technology leader with over 20 years of of experience in data management. Currently serving as the Director of Solution Architecture at Informatica, Mike leads a team that partners with customers from various industries to architect innovative data-driven solutions that address diverse business objectives, leveraging the capabilities of Informatica's data management platform spanning master data management, data governance and privacy, data integration, and application integration. Additionally, Mike oversees Informatica's North American Associate Consulting Program, where he works with early-stage professionals in effective data management, architecture, and sales engineering best practices.
Prior to his current role, Mike worked at Linedata, where he worked in the fintech space with alternative asset and hedge fund customers, and at Epic, where he contributed to successful healthcare software implementations. Mike is now based in South Jersey, and as an alumnus of University of Pennsylvania enjoys spending time in Philadelphia and introducing his children to the city.
The presentation -
There’s no one right way to define your Data Governance Guardrails, but David Kowalski has developed a framework for establishing a coherent, integrated approach to building out a set of Guardrail documents that work as a whole…documents that reinforce one another with common themes that focus on achieving what he calls "Holistic Data Governance™." This is an approach
to Data Governance that respects the localized needs of the individual parts of your organization while orchestrating them into a meaningful whole that helps deliver the data that your organization needs at all levels in order to make meaningful decisions about how to succeed in your particular industry. This presentation will give an overview of this approach along with some ways that you can find out more about the details.
David Kowalski, Ph.D., has spent his entire professional life showing organizations how best to manage and govern their data. David is currently President of MIDAS Advisory Services, a data management executive advisory firm based in Princeton, NJ. He has worked with Data Management executives at large and mid-sized corporations around the world to assess their Data Management practices and help devise strategies and policies to improve their efficiency, effectiveness, and reliability while mitigating risk exposure. An industry thought leader, David appears regularly at conferences across the country and is a very active contributing member of the Enterprise Data Management Council. He is the author of "Holistic Data Governance," a series of books on the integration of Data Governance throughout an organization.
