Modern Data Quality Management: A New Frontier Explored at Data Economy Congress, Warsaw
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The Data Economy Congress, held from the 9th to the 10th of October in Warsaw, was a true testament to the evolving landscape of data management, AI, and the broader digital transformation industry. This congress was graced with expert discussions, knowledge-sharing sessions, and insights into the latest trends and challenges.
Deep Dive into Modern Data Quality Management with Marcin Chudeusz
One of the standout sessions of the congress was led by Marcin Chudeusz, co-founder of digna, who illuminated the transformative nature of Modern Data Quality Management. Using the Austrian Social Security as an illustrative example, Marcin shed light on the transition from a staggering 9,000 pre-defined data quality rules to an AI-driven approach that ensures data integrity, accuracy, and reliability. In the modern data landscape, organizations are shifting their focus from merely accumulating vast amounts of data to ensuring the quality and reliability of this data. This transition has been amplified by the emergence of innovative concepts such as data mesh, data products, data sharing, and marketplaces.
The 1 Million Euro Question
An especially thought-provoking segment of the congress revolved around a simple yet profound query presented to a distinguished panel: "If you had 1 million euros to invest in your company, where would it go?" The consensus among the panelists was clear and resonated with the conference's overarching theme:
Improving DATA QUALITY
Other Highlights of the Congress
Among the many noteworthy sessions at the Data Economy Congress, the presentation by Prof. Dragan on the future of AI development stood out, capturing the imagination of attendees with a deep dive into how AI and ML are shaping the future of businesses and everyday life. Furthermore, Aleksandra Trojanowska, the Co-Founder & Managing Director of Algorable, led a poignant panel discussion focusing on the importance and implications of Environmental, Social, and Governance (ESG) factors in the modern data-driven era. These insights, combined with the transformative approaches to modern data quality management discussed throughout the congress, underlined the pivotal role data plays in today’s economy.
Valuable Collaboration with the Commercial Section of the Austrian Embassy
digna's participation at the congress was bolstered by the exceptional support of the Commercial Section of the Austrian Embassy. Recognized globally as ADVANTAGE AUSTRIA, the organization is committed to facilitating international business partnerships. Their support played a pivotal role in enhancing digna's presence and outreach at the congress.
Looking Forward
As we reflect on the invaluable insights and pioneering approaches discussed at this year's Data Economy Congress, our anticipation grows for the next edition. Given the rapid advancements in data management and AI, it promises to be yet another enlightening experience. We at digna are eager to continue our engagement, bringing back more learning and networking opportunities from the next Data Economy Congress in Warsaw.Read also:Success Story: How Digna Transformed Data Quality Management at IT-Services of Austrian Social SecurityExploring AI's Potential and Data Warehouse Optimization
Where explicit business rules are still needed alongside the AI-driven approach Marcin described, digna Data Validation is the module for defining and running them.
Frequently asked questions
When and where was the Data Economy Congress held?
The Data Economy Congress took place in Warsaw from 9 to 10 October, covering data management, AI and digital transformation. digna attended with support from the Commercial Section of the Austrian Embassy, known as ADVANTAGE AUSTRIA, which helped strengthen the company's presence and outreach at the event.
What did Marcin Chudeusz present at the Data Economy Congress?
Marcin Chudeusz, co-founder of digna, led a session on Modern Data Quality Management. Using Austrian Social Security as the example, he described the move from 9,000 predefined data quality rules to an AI-driven approach that ensures data integrity, accuracy and reliability.
Why are organizations shifting their focus to data quality?
Organizations are moving from simply accumulating large volumes of data toward making sure that data is reliable and of high quality. The post says this shift has been amplified by newer concepts such as data mesh, data products, data sharing and data marketplaces.
Where would data leaders invest 1 million euros?
Into improving data quality. At the congress, a panel was asked where they would invest 1 million euros in their company, and the panelists agreed on data quality, a consensus that matched the event's overarching theme of modern data quality management.
What other topics were discussed at the Data Economy Congress in Warsaw?
Beyond data quality, Prof. Dragan presented on the future of AI development and how AI and ML shape business and everyday life. Aleksandra Trojanowska, co-founder and managing director of Algorable, led a panel on Environmental, Social and Governance (ESG) factors in the data-driven era.
