The recording of this webinar is available on YouTube.
Knowledge graphs and semantic standards are changing the nature of data management – but the issues, obstacles and use cases that define the industry are often described in anecdotal terms. To address this information gap, we conducted a study to quantify the size, dynamics and direction of the industry. In this Webinar, the author of the benchmarking study will present highlights of the findings and his analysis of the implications.
Section 1: Business Profile
An examination of the industry sectors and organizations that are currently using semantic standards and knowledge technology. This will include the nature of the participants and insight into organizational structures (functions, roles, team size/makeup, sponsors) for these initiatives.
Section 2: Maturity, Drivers, Use Cases
Most of the Webinar will focus on the current state of industry maturity. We will explore the primary reasons for adopting a knowledge graph, where respondents are on the maturity curve, the underlying use cases that are gaining traction, and the inhibitors to adoption. We will also examine the current level of awareness about the rationale, costs and benefits among key stakeholders, including our expectations about timeframes and requirements for moving activities forward.
Section 3: Industry Capabilities and the Future
This final section will look closely at the industry’s priorities regarding vendor maturity and the types of enhancements needed to support continued growth. In conclusion, we will identify some key takeaways and action items for addressing the information literacy gap among executive stakeholders and our view on the case for adopting (semantic) data management as the infrastructure for the digital world.
Who is this webinar for:
This webinar articulates the business case for semantic standards and knowledge graphs. Participants should be those responsible for developing data strategy… those involved in positioning the data management value proposition to business and technology executives … and those responsible for converting data from a problem to be managed to a resource to be employed.
Expected duration:
- 45 minutes presentation
- 15 minutes Q&A session
