This webinar is recorded and available on demand.
Are you attending the Gartner Data and Analytics Summit in London? Whether you’re attending in person or couldn’t make it, please join our upcoming webinar where Ontotext’s Chief Marketing Officer, Doug Kimball and Strategic Solutions Director, Sumit Pal (former Gartner Analyst) discuss key takeaways and learnings from the conference.
The Gartner Data and Analytics Summit provides data and analytics peers the opportunity to learn how organizations can build and lead a powerful data and analytics strategy and ecosystem while optimizing decision-making. As many challenges arise when building such an ecosystem for organizations, this summit helps to provide solutions for the future of data and analytics.
Want to learn more about what Ontotext identified as the key learnings from the conference? Register for and join this 25 minute webinar to get a comprehensive recap and takeaways!
When:
- Wednesday, May 31st
- 11am EST | 4pm GMT | 5pm CET
This webinar is for:
- Gartner Data and Analytics attendees / those who could not attend
- Chief Data and Analytics Officers
- Data Scientists & Engineers
- Subject Matter Experts (SMEs)
- Current & future users of GraphDB
- RDF & Linked Data enthusiasts
Expected duration:
- 25 minutes
Other Information:
- This is a pre-recorded webinar
- Live Question Answering: No
- Resource After Webinar: Recording
About The Speaker
Doug Kimabll
Chief Marketing Officer
Doug Kimball is a business and technology evangelist focusing on advancements that can be applied to e-commerce, customer centricity and insights development in the data management space. With more than 20 years of full-cycle B2B marketing experience at data, retail and supply chain providers across various industries and regions, he has developed a passion for enabling digital business.
Sumit Pal
Strategic Solutions Director
Sumit Pal is an Ex-Gartner VP Analyst in Data Management & Analytics space. Sumit has more than 30 years of experience in the data and Software Industry in various roles spanning companies from startups to enterprise organizations in building, managing and guiding teams and building scalable software systems across the stack from middle tier, data layer, analytics and UI using Big Data, NoSQL, DB Internals, Data Warehousing, Data Modeling, Data Science and middle tier.