This conference is designed for 25 data leaders at leading enterprises in the NY tri-state area interested in learning how enterprises are adopting new approaches to data management to accelerate the use of AI for competitive advantage. We’ll be focusing on data strategy, culture and scale.
AGENDA
11:30 AM – 12:00 PM
Registration
12:00 PM – 12:25 PM
Lunch
12:25 PM – 12:30 PM
Welcome Remarks
12:30 PM – 1:00 PM
Keynote Address: The 4 Must Haves of AI
1:00 PM – 1:45 PM
Roundtable Session
Reliable AI: Getting Your Data House in Order
Are you able to keep up with the urgent demand for data for your AI-Initiatives? AI-Initiatives and GenAI applications require revolutionary changes to your data management platforms and practices. Many AI programs are not seeing the light of day because of the lack of AI ready data. Learn what AI-readiness means and why it matters. How are Catalogs, Data Marketplaces and Data Quality vendors answering the call of successfully deploying and scaling an AI-ready practice.
This panel will explore the barriers to successful AI and how data leaders are gearing up for these challenges. Come prepared to discuss challenges and tactics that are making an impact on successful outcomes to the organizations mission critical AI initiatives.
1:45 PM – 2:15 PM
Networking Break
2:15 PM – 3:00 PM
Roundtable Session
Understanding Data Movement and Observing Data: And When Does Data Culture Come into Play?
We’re not just monitoring databases anymore, we’re monitoring the data thread. Data is fluid and constantly changing. This causes bias and hallucinations. Every AI model will experience the data spikes and anomalies and reacting to these threshold changes is key. How will you drive the culture to react to AI in the best interest of your company?
3:00 PM – 4:00 PM
Workshop & 1:1 Meetings
This is time to sit for brief 1:1 meetings with Quest product experts.
Quest will also conduct brief platform workshops during this time focused on how erwin addresses the 4 must haves of AI.
4:00 PM – 4:45 PM
Roundtable Session
Scaling AI Programs: Data Classification, Marketplaces, and Augmented Data Quality
Scaling AI across the enterprise requires more than just technical infrastructure; it demands a strategic approach to data classification, marketplace design for end user adoption, and modern data quality (DQ) tools. It’s a proven fact that LLM’s perform best on well-structured data platforms. Using transparent data that is “known” is more important than having your hands on the “best” data quality.
This panel will discuss the challenges organizations face when scaling AI programs, such as handling vast amounts of data, ensuring data is correctly classified for use, and managing a marketplace where AI can be continuously optimized. Key pain points such as integrating augmented DQ tools and defining a method to operationalize AI at scale will be examined.
4:45 PM – 6:00 PM
Cocktail Reception & Appetizers
Speakers
Chief Technologist, Quest
Sue is the Chief Technologist/DI Thought Leader for the erwin Data Intelligence product line. A thought leader in the application of technology and business processes to solve real business problems, Sue has over 20 years of experience working with metadata on the buy side as a customer and the sell side as a vendor, including implementation, showcasing, and program support. She has worked to structure and drive enterprise data management programs. Additionally, Sue has extensive support experience to sustain these initiatives within an organization.
She has supported a wide range of clients, including financial, insurance, healthcare, manufacturing, and e-Commerce with a general need to provide data-driven business practices. Sue is responsible for launching and guiding Quests Data Intelligence solution’s superior Modeling/Data Intelligence technology in fresh, modern offerings that deliver excellent value for today’s challenging business demands.
Sue is a frequent speaker at industry events regarding enterprise metadata management, data lineage, data governance, and engaging training for end users and partners.
Managing Partner, Congruity Consulting Corp.
Lunch at Convene 237 Park, New York
VENUE & REGISTRATION
Convene 237 Park, New York
237 Park Ave, New York, NY 10017, United States
TALK TO US
About Common Sense Conferences
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Since 2019 Common Sense conferences have hosted more than 2000 events focused on a wide variety of topics from Customer Experience to Data & Analytics to Security & Risk. Learn more at commonsense.events.