Next Generation Data Management in the Age of AI

Join our webinar to learn how to create a next generation data management strategy, get AI ready, and how graph technologies at scale will form the foundation of modern data and analytics.

data management in the age of ai

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
Sign-up for this webinar

About The Speaker

Sumit Pal

Sumit Pal

Strategic Technology 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.

Brandon Richards

Brandon Richards

General Manager, APAC

Brandon has spent the last 8 years helping hundreds of enterprises across APAC on their graph technology journey at both Ontotext and Neo4j. During that time, he has focused on shifting the “graph” conversations to C-level and senior executives for a more strategic approach to their digital transformations. Prior to that, he spent 6 years at Oracle working with strategic accounts and founded and managed a commercial real estate strategy firm in Silicon Valley for over 4 years. Brandon is currently based in Kuala Lumpur, Malaysia.

Doug Kimball

Doug Kimball

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.