Evolving Landscape Of Enterprise Data Governance
AI is revolutionizing enterprise data governance, enabling smarter compliance and unlocking $30B+ market opportunities. This article reveals how startups and businesses can leverage AI to manage data responsibly and drive innovation.
Q1. Could you start by giving us a brief overview of your professional background, particularly focusing on your expertise in the industry?
I'm Sebastian Sbirna. My journey started in cybersecurity analytics at Danske Bank, and today I channel that analytical rigor into leading digital strategy, data governance, and data management across the renewable energy sector.
Now, as Data Governance Lead in Enterprise IT, at Novo Nordisk, I create, implement, advise and guide standards and frameworks across business units, optimizing processes, SOPs, and oversight for robust, compliant data practices, company-wide. These standards mean creating clear roles, responsibilities, and procedures that secure data quality, consistency, and control, while also adapting to the needs of individual business entities. My role is both global and flexible — I guide change management, ensure cross-unit collaboration, and drive the enterprise data strategy with measurable impact, maintaining tight connections with leadership and operations for effective implementation and value realization.
Q2. How do you see AI transforming traditional data governance frameworks in large enterprises over the next 3 to 5 years?
There are two main components to consider in this question. First, it is important to define data governance clearly.
Data governance involves ensuring that the right people…
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