Data should be at the heart of any serious digital transformation effort. More and more enterprises are turning to knowledge graphs to address the data issues that hamper their AI and advanced data management efforts. Some companies are succeeding in their knowledge graph implementation efforts.

But how are they doing it?

Join Us For This Two-day Virtual Symposium

Enterprise Data Transformation & Knowledge Graph Adoption


Fresh Stories,
Key Findings,
& In-depth Lessons Learned.

We’re putting together a two-day seminar focused on the firms already committed to this journey. Each is making major systemic improvements. In the process, each is changing how information can be leveraged as a strategic asset.

To help executives, business leaders, enterprise architects, or anyone involved in digital transformation initiatives, we’ll be showcasing fresh stories to reveal key findings and in-depth lessons learned. This seminar will highlight pragmatic solutions and lessons learned along the way. 

While no company has completed the entire journey, some are leading the way. At Semantic Arts, we call this pursuit becoming Data Centric. Data centricity is based on principles that govern a new paradigm towards digital and data literacy.

Regardless of where you are, the talents, skills, processes, systems, and roles that made your company successful in the past won’t be enough for future success. Like minded professionals will share those challenges and triumphs.

Take advantage of early registration for this 2-day virtual event on “Enterprise Data Transformation & Knowledge Graph Adoption”. Organizations committed to presenting include Siemens, Morgan Stanley, Montefiore Hospitals, and AstraZeneca.  You’ll hear 10 case studies in total followed by an overview of how to get started.

Who Should Attend?

This seminar is for anyone contemplating major changes to their information system landscape. This includes anyone involved in digital transformation, as well as anyone starting a major application implementation project. We’ll encourage the attendees to realize they don’t want to be the laggards still perpetuating stovepipe systems.  

  • Any BUSINESS USER OF DATA (HR, Marketing, Sales, Product, Finance, Strategy, Operations …), this is for you!
  • If you’re redoing your data landscape to make it feasible for Data Scientists and Machine Learning Engineers to do their job more efficiently, this is for you. 
  • If you’ve implemented a Data Lake and are now wondering why it’s so polluted, you will get some clues by attending.  
  • If systems integration is beginning to seem more like the problem than the solution, knowledge graphs can represent a step towards addressing this challenge.

Mark your calendar and register today!

February 28th & March 1st, 2022

Early Registration – $69

FUTURE ALERT –  DCA Forum 2022 “The Last Mile”

The date of  this in-person event is to be determined. Watch for our announcement in Q2 2022

For more information on this event, contact an Event Organizer

While this virtual event brings the implementation element, we’ll also be reinstating our DCA Forum as a three day in person event in Fort Collins, CO during the last week of May (actual date TBD). A virtual feed and recording will be available, but the experience is being designed around in person attendees.

Our theme for this event is “The Last Mile.” As attendees of the last three forums know, there are challenges in implementing a Data-Centric solution that sooner or later need to be addressed. We’ve identified ten challenges that historically have been solved with application-specific code. The data-centric vision is to make applications thinner as more and more shared relationships and other common business logic ends up in the knowledge graph. The question is, how can we move more organizations up the maturity curve?

Many of these challenges have already been solved in graph environments. All could be improved and further integrated. The agenda is totally dedicated to upgrading our shared understanding of the state of the art on these ten challenges in the Data-Centric / Knowledge Graph environment.


Click Here For More Information.