This webinar is recorded and available on demand.
Does your organization strive to be data driven at its core, but struggling to get there? Looking for ways to make AI a reality in your organization and not just a shiny object?
According to a recent survey of 10,000 data and analytic leaders*, the top priority is to increase data maturity so their organizations are AI-ready. This shift in priorities requires enterprises to create a strategy around their next generation data management. Gartner has repeatedly stated that using graph technologies at scale will form the foundation of modern data and analytics. This approach of connecting the dots with a graph based semantic layer enables organizations to increase both data quality and maturity, dramatically enhancing data and analytics capabilities. The business justification is compelling, with most organizations wasting 40 – 60% of their IT spend each year on short-term fixes and workarounds.
In this webinar, we will explore practical ways organizations can strategically tackle their next generation data management, implementing the critical enablers for the age of AI. This can be accomplished one use case at a time, methodically showing incremental value along the way.
Leading the discussion are Ontotext’s General Manager of APAC, Brandon Richards, and Strategic Technology Director (and former Gartner Analyst), Sumit Pal who will explore:
- The Compelling Business Justification For Graph
- What are Graph Technologies, Why You Should Care
- Overcoming the Obstacles with a Graph Center of Excellence
- Preparing Organizations for AI with Next Level Data Management
Join us to learn how you can take advantage of connecting the dots of your data!
*State of Data and Analytics Report, Salesforce 2023
When:
Wednesday, February 28, 2024
11 am EST | 4 pm GMT | 5 pm CEST
This webinar is for:
- Chief Data and Analytics Officers
- CEOs, COOs, CIOs & other senior executives
- Data & Solution Architects
- Innovation teams
- Business leaders interested in having their teams becoming data-driven
Expected duration:
- 40 min
Other Information:
- This is a recorded webinar
- Live Question Answering: No
- Resource After Webinar: Recording and presentation
