From Invisible Bottleneck to Strategic Accelerator Written by Robert S. Seiner (KIK Consulting) and Bryn Davies (Info.Blueprint) Executive Overview In the current landscape of accelerated AI adoption and digital transformation, many organizations are
Roxane Morgan
Quality datasets are crucial for AI training, but the need to protect real-world data can slow development and implementation. Written by Bryn Davies (Info.Blueprint) As large enterprises step up application development and need
Data management solutions specialists Info.Blueprint has launched a bespoke new data service to update and enrich organisations’ databases faster and more cost effectively. Info.Blueprint’s new Info.Agent service is among a range of new
In the world of Data Management, a relatively recent theme that is gaining greater popularity is that of Data Observability. The discipline of Data Quality has been with us for decades, yet it
Data management solutions specialists Info.Blueprint have launched Info.Atlas - an open source-based data profiling, assessment, cleansing and cataloguing solution to offer the South African market a lower cost foundation for data-driven business. Info.Atlas
In today’s digital economy, data is the new currency. It is also the foundation of transformative technologies like Artificial Intelligence (AI). As organisations embrace AI to gain a competitive edge in the market,
Artificial intelligence (AI) and cloud are top trends impacting master management (MDM) now and into the year ahead, as organisations turn their attention to data quality and management to support areas such as
As the need for effective data governance becomes more and more critical, we are seeing many organisations battling to get traction on their data governance initiatives. This is not uncommon as, depending on
This article is part of a three-part series which addresses the end-to-end process of improving Master Data, from the perspective of a Data Analyst. This series covers the following topics across three articles:
This article is part of a three-part series which addresses the end-to-end process of improving Master Data, from the perspective of a Data Analyst. This series covers the following topics across three articles:
