The 6th MDM ThinkLab unites senior master data professionals to discuss the value of Data, how to run successful initiatives and how to advance in MDM taking advantage of new technologies. Our ThinkLab is about interaction, networking and collaboration while comparing experiences and finding common challenges and objectives to tackle in MDM. In particular we'll look at … [Read more...] about 6th MDM ThinkLab 2019 | Master Data Management Workshop | Berlin
Data integration
International Conference on Artificial Intelligence
Artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks generally associated with'intelligent'beings. The term is often applied to the project of developing systems endowed the intellectual processes characteristic of humans, just like the flexibility to reason, discover meaning, generalize, or learn from previous … [Read more...] about International Conference on Artificial Intelligence
MDM ThinkLab (Master Data Management, Conference, Europe)
"Building the Foundations for the'Digital Transformation Age" In its'5th edition, the'MDM ThinkLab'is set to continue its exploration journey in Master Data, bringing up best practices from the start of the journey to a'continuous process improvement mindset. Data Quality'as a prerequisite for further'Digital Transformation,'as well as Master Data Governance, … [Read more...] about MDM ThinkLab (Master Data Management, Conference, Europe)
The How and Why of ID Unification
Identifier (ID) Unification is one of the key data fusion problems to be solved when integrating data from multiple data sources. In the context of enterprises, building a 360 degree view of your customers is a key need. Data from internal sources (first party), external data brokers (third party), various kinds of partners (second party) and open, public sources needs to fused … [Read more...] about The How and Why of ID Unification
Understanding Data Fusion: The Challenges and A Way Forward
Data fusion, the art of merging information from multiple sources to create sophisticated models, presents significant potential benefits for a range of industries. This is a fundamental problem in many domains as one tries to bootstrap a data economy. Bringing together heterogeneous datasets, however, poses several conceptual and technical questions, particularly when … [Read more...] about Understanding Data Fusion: The Challenges and A Way Forward