As we stand on the brink of the AI revolution, many organizations find themselves entangled in the complexities of disparate, isolated data systems. Challenges like data governance, trust issues, and poor data quality are just a few of the hurdles stalling the progress of enterprise AI initiatives.
Enter graph technologies—your essential ally in crafting data-driven strategies for the AI era. These innovative approaches streamline and elevate data management, offering substantial cost reductions while significantly enhancing your ability to derive valuable insights and integrate them seamlessly into your business operations.
This session underscores the imperative for organizations to develop robust graph technology capabilities, simplifying and refining data integration and governance across fragmented data landscapes. Discover how these cutting-edge technologies unlock a spectrum of enhanced data outcomes, paving the way for groundbreaking advancements in data analytics and automation that were once out of reach.
Join us to delve into the strategic adoption of graph technologies within your enterprise. We'll guide you through establishing a Graph Center of Excellence (CoE), emphasizing its critical role, practical applications, starting points, governance needs, and best practices for a triumphant implementation. You'll uncover the foundational elements of the Graph CoE, including:
- Key Elements of the Graph CoE
- Strategic Graph Deployment
- Real Life Use Cases
- Why Organizations Need to Change Their Data Management Paradigm
- The “Bad Data Tax” Organizations are repeatedly paying with low payoff
- The Solution to the Data Dilemma
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 has spent the last 8 years helping hundreds of enterprises across APAC on their graph technology journey at both Graphwise (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.As our ambassadors of the Graph Center of Excellence, Sumit and Brandon are excited to spread the good word of graph to the CIDM community.
Doug Brook is the Director of Technical Documentation and Localization for adaptive computing at Advanced Micro Devices, Inc. (AMD). Throughout 20+ years in senior management of technical content organizations, he has led evolutions of information resources to improve user experience for numerous high-tech companies, large and small. A past Society for Technical Communication (STC) panelist, he holds undergraduate and graduate degrees from Carnegie Mellon University. He has successfully navigated technical documentation teams through several corporate acquisitions and has introduced new authoring systems and content delivery platforms multiple times. As an experienced technical writer, educator, and theatre artist, he leverages a broad perspective of how to effectively serve diverse audience types and how to optimize processes for people to more effectively serve them.
Rahel Anne Bailie, FSTC, FISTC, is the Content Solutions Director at Technically Write IT. She brings a wealth of experience to helping companies get more value from their content assets. TWi is an Ireland-based consultancy of content specialists who provide content strategy, content operations, language, learning, user adoption, and content production services. TWi works with companies wanting to solve their content problems for business impact.
Fraser Doig is a Senior Associate Product Marketing Manager specializing in helping companies of all industries understand how structured content can elevate their business. At RWS, Fraser works in the Language and Content Technology division, always on the lookout for the latest and greatest developments in the market. He is a regular contributor to publications such as KMWorld and Customer Service Manager Magazine.
HTML is used not only as a final delivery format but increasingly as the source format for documentation of all kinds, whether that’s internal product designs or customer-focused technical documentation. Understanding change in those documents is a vital part of your content management workflow.
Join us as we explore the ins and outs of HTML redline documents, looking at how to identify change in HTML, how to visualise it, and how it fits into your toolkit. From text to tables, MathML to SVG, come and discover how to decide what matters in your redline output.
Presented by: Tristan Mitchell, DeltaXML
Tristan is Product Director at DeltaXML, a technology company with world-leading software products for managing change in structured content. He has a deep understanding of DeltaXML’s product suite and loves to help customers create extra value in their content using change management. Tristan is a father to three daughters, a movie lover, and a keen runner.
Laura Bellamy, Director of Content Insights and Quality
Márcia R. Ferreira is a Data and Knowledge Engineer (Technical Consultant) at Semantic Web Company. By implementing state-of-the-art semantic systems, Márcia ensures customers' data requirements are met at the highest level. She is interested in integrating LLMs with graph technologies for impactful applications in knowledge-intensive industries.
Krasimira Bozhanova, Ontotext
Krasimira Bozhanova is a Solutions Architect at Ontotext, starting her way as a developer and contributing to many of the company's significant client projects. In recent years she has been a part of the AI in Action Ontotext initiative which puts Ontotext products at the heart of various AI applications. 
