Get AI Ready with Graph Center of Excellence
Rethinking Enterprise Data Management for the Age of AI
At the dawn of AI, organizations are still struggling to connect the dots across siloed, heterogeneous data, with data governance, trust, low data quality, and much more, all of which hold back enterprise AI projects.
Graph technologies are a critical enabler for executing data-driven strategies in the age of AI. Graph-based approaches enhance and simplify data management, yielding significant cost savings and drastically improving the ability to extract value and insights from data and incorporate them into business decisions and processes.
This webinar brings together experts who brainstorm and discuss the crucial need for organizations to cultivate graph technology capabilities to simplify and improve data integration and governance across data silos. It explores how these technologies can enable a wide range of improved outcomes with data, delivering new capabilities in data analytics and automation that would otherwise be impossible.
Join this webinar to explore the rationale for adopting graph technologies strategically in the enterprise by outlining the process of building a Graph Center of Excellence (CoE), highlighting its importance, use cases, initiation points, governance requirements, and best practices for successful implementation.
Audience: C Level Execs – CDOs, CDAOs, CTO, Enterprise Data Architects
What You Will Learn
- Why Organizations Need to Change Their Data Management Paradigm
- The “Bad Data Tax” Organizations are repeatedly paying with low payoff
- The Solution to the Data Dilemma
- Building the Graph Center of Excellence
- Key Elements of the Graph CoE
- Strategic Graph Deployment
- Use Cases