Data driven organizations invested in master data management, data quality and analytics initiatives can inform their data fabric strategy by attending the IBM TechXchange Conference from October 21-24 in Las Vegas, Nevada.
IMT has curated a session list that focuses on topics relevant to your initiatives and interests to reap the most value from your data. IMT’s VP of Solutions, Mark Holmes will be presenting at the event, so be sure to attend the presentation or click here to contact Mark to meet at the conference.
IBM Match360
Next generation MDM for enterprise-wide governance and data democratization
| Building the Bridge between Master Data and Business Outcomes with IBM Match360 Mark Holmes, IMT VP Solutions Chris Yiu, Program Director – Master Data Management, Data and AI, IBM Canada Join IBM Business Partner IMT and MDM Product Management to hear best practices across industries for managing master data in the age of AI. Hear from the experts client stories in healthcare, government, and more on what your organization can do to not just master your data, but put it to use and drive results. Tuesday Oct 22, 8:30AM – 9:30 AM, South, Jasmine C, Level 3 |
| Integrating Match 360 with Governed Data Catalogs: Enabling persona-based master data consumption – Hands-on Lab Jay Zhang, Senior Partner Technical Specialist, Data & AI, US Ecosystem, IBM David Ma, Sr. Data & AI Technical Specialist, IBM This lab focuses on integrating your IBM Match 360 service instance with a governed data catalog, ensuring adherence to data protection rules. By associating the governed catalog, Match 360 seamlessly enforces these rules, primarily through data masking techniques. Participants will explore various masking options such as Redaction, Substitution, and Obfuscation, experiencing firsthand how Match 360 fulfills data protection requirements while maintaining data integrity and confidentiality. Wednesday Oct 23, 9:00AM – 10:30 AM, South, Breakers L, Level 2 |
| Unlock Value with Intelligent Data Matching: Match360 for Cloud Pak for Data Architecture Deep Dive Mohammad Khatibi – Chief Product Architect & Master Inventor, IBM Match 360 with Watson, IBM Hear from the Match 360 architects on how to get the most from your MDM, using new capabilities and enhancements. From performance updates and how to optimize your performance with Match 360, to lessons-learned of streaming and tuning, join this session to hear best practices to take your MDM practices to the next level. Thursday Oct 24 8:30AM – 9:30AM, South, Jasmine C, Level 3 |
IBM InfoSphere MDM
Unparalleled master data matching accuracy and performance
| The Latest and Greatest: IBM’s MDM’s Vision and Roadmap Mohammad Khatibi – Chief Product Architect & Master Inventor, IBM Match 360 with Watson, IBM In this session, hear what’s new with IBM Master Data Management solutions, as well as what’s next with market trends and the IBM MDM products. Tuesday Oct 22 8:30AM – 9:30AM, South, South Seas I, Level 3 |
IBM Cloud Pak far Data
Predict outcomes faster using a platform built with data fabric architecture. Collect, organize and analyze data, no matter where it resides
| Data Driven with IBM Cloud Pak for Data Luis Rivera – Data & Information Leader – Lunt Transformation Services Hear about how implementing a Data Fabric strategy on IBM CP4D revolutionize the management of transit and transportation services in Colombia by implementing data governance and MDM. Thursday Oct 24 11:30AM – 12:30PM – South, Jasmine B, Level 3 |
IBM Knowledge
Discover, profile, catalog and share trusted data in your organization
| The Latest and Greatest in Watson Knowledge Catalog: What’s New in Cloud Pak for Data 5.0 Joana Janusz, Program Director, IBM Overview and demo of the newest features in IBM Knowledge Catalog in Cloud Pak for Data 5.0. Tuesday Oct 22 8:30AM – 9:30AM, South, Jasmine D, Level 3 |
| Unified Data Lineage & Knowledge Graph in IBM Knowledge Catalog Andrzej Wróbel, Solution Architect, IBM Having unified data lineage across all the systems in the organization is critical for data governance, regulatory compliance and increasing productivity. In combination with data quality, data privacy and business terms, it opens new use cases and allows faster answers to important questions about organization’s data. This presentation will show these benefits on specific examples. In this presentation, we’ll look at various applications of the knowledge graph within IBM Knowledge Catalog, as it underpins several important capabilities such as data lineage, relationships exploring and semantically augmented search. We will discuss the unique advantages that the use know graph oriented storage brings to the product, as well as related challenges and how they can be overcome. Tuesday Oct 22 8:30AM – 11:30AM-12:30PM, South, South Seas B, Level 3 |
| Simplify the Visualization of Relationships between Assets and Metadata with Relationship Explorer Dumisani Mthimkhulu, Head Data Asset Management, Standard Bank Joana Janusz, Program Director, IBM Insufficient understanding of data can slow an organization’s move towards smarter decisions. Data experts like business analysts and data scientists can struggle to grasp the complex connections between assets and metadata, hindering their ability to assess changes effectively. Current tools fall short in providing a complete picture of these connections, resulting in inefficiencies and compliance risks. IBM’s Relationship Explorer, part of IBM Knowledge Catalog, simplifies this by visually mapping relationships between data assets and governance artifacts, aiding in impact assessment, compliance, and efficient data usage. It offers detailed control over displayed content, filters, and exploration paths, enhancing data literacy across the organization. Tuesday Oct 22 11:30AM-12:30PM, South, South Seas B, Level 3 |
| IBM Knowledge Catalog Ask Me Anything Session Andrzej Wróbel, Solution Architect, IBM Wednesday Oct 23 11:30AM – 12:15PM, Sandbox, Information Architecture |
| Measure, Evaluate, Remediate: Centralize Data Quality Process Management using IBM Knowledge Catalog Yannick Saillet, Software Architect, IBM In today’s fast-paced business environment, data quality is more important than ever. However, ensuring accurate and consistent data across the organization can be a daunting task. In this session, we will demonstrate how to create a 360° view of the quality of your data using IBM Knowledge Catalog. We will discuss the challenges of implementing a systematic and automatic data quality process and how to address them with IBM Knowledge Catalog. We will see how to streamline the data ingestion process with the data quality monitoring and give some outlook on how this process will evolve in the future with the emergence of large language models. Wednesday Oct 23 1:30 PM – 2:30PM, South, Jasmine C, Level 3 |
| MasterClass on Data Curation and Quality with IBM Knowledge Catalog Mary Ellen Coleman, Senior Technical Curriculum Developer, IBM Learning, IBM Rick Buglio, Principal, Learning Content Development, Data and AI, IBM Taylor Segell, Advisory Information Developer: WW Data & AI, IBM Effective Generative AI initiatives rely heavily on high-quality data. Managing the volume and complexity of data presents challenges for modern businesses. Poor data quality leads to poor predictions and insights, resulting in costly mistakes and missed opportunities. This hands-on lab focuses on leveraging IBM Knowledge Catalog 5.0 to accelerate data discovery while improving and automating the data quality workflow. Participants will learn to enrich metadata, tag data assets, perform quality checks, identify anomalies, and cleanse data. These practical skills empower organizations to become data-driven and competitive in the market. Thursday Oct 24 9:00AM – 10:30PM South Breakers G, Level 2 |
