Connecting the Dots Between Disparate Pieces of Information

July 16, 2021 by Sponsored blog post

SEMANTiCS: You are here with your product at this SEMANTiCS conference. Tell us a little more about the connection your product has to the main topic of the conference: Knowledge Graphs and Explainable AI.

Arpita Maity: Tridion has been solving complex content challenges for the last 25 years. We’re constantly looking for ways to help our clients improve their content operations. We believe that content technology is key to successfully engaging with prospects and customers and creating great customer experiences. Fragmentation, volume and quality issues remain rampant problems for most multinational companies. Knowledge Graphs and Explainable AI have an essential role to play in connecting the dots between disparate pieces of information across an organization. Making those connections helps to create real value for the business and deliver more relevant experiences for their customers. That’s why we have embedded PoolParty technology natively into our content management platform – allowing businesses to achieve consistency and relevance across their digital touchpoints.

SEMANTiCS: Tell us a little more about the typical use cases you serve with your product

Arpita Maity: We primarily serve organizations with multiple content repositories, spread across numerous business units and markets, and with a wide variety of products and services. Common to all of them is the need to provide consistent product information, support their customers online, empower sales, and enable field or service engineers to work with the customers to solve their problems through their support channels. Content drives all of these interactions. Typically they struggle with content silos, varying quality of information, non-uniform terminology for the same items, and out-of-date content. Often they also have the problem of finding experts in a distributed organization.

We centralize content management and connect existing content repositories to create a streamlined ecosystem of information systems. We structure the content into reusable modules and enrich it with taxonomy-led metadata to build a knowledge model. The knowledge model demonstrates the relationship between content that is spread across various sources. It even links experts to relevant topics and improves the overall quality of the user experience. In other words, the knowledge graph establishes trust in the information users find. With higher quality information, organizations can increase employee productivity, boost partner engagement and amplify customer experiences.

SEMANTiCS: You are a sponsor of the conference. Where and how we can find you and talk to you?

Arpita Maity: You can find us at the RWS booth at the conference or visit us on


Arpita Maity is a senior manager of Product Marketing at RWS. She has a bachelors in Computer science engineering and an MBA in marketing and strategy. At RWS, she focuses on Content Management, Artificial Intelligence and Data Services. Previously, Arpita held positions in various product and strategy roles at other multinational organizations, including Engage Process, Advicent, Microsoft and Cummins Inc. She regularly contributes to content management and artificial intelligence blogs. You can reach her by email at on Twitter (@MaityArpita) and LinkedIn (