As AI adoption accelerates, only strong data governance can ensure trust, compliance, and value at enterprise scale.
As artificial intelligence adoption accelerates, so do concerns around effective data governance — and nowhere is that truer ...
The explosion in usage of tools like ChatGPT—offering the promise of increased productivity and creativity—is pushing across both personal and professional boundaries. In fact, analyst firm Gartner ...
AI in finance is now existential. The institutions that move decisively now can build durable advantages in cost, growth and ...
Neural networks cannot extract individual data without rolling back the entire model, which undermines competitive advantage. Organizations must understand their ...
Most data governance models weren’t built for AI. They were designed to ensure compliance, not to support real-time decision-making. They helped manage audits and reports but were never intended to ...
Businesses of all sizes across all industries are rapidly adopting digital transformation models that put data at the center of driving the business forward—as they should. However, putting data at ...
In today’s rapidly evolving digital landscape, the value of data cannot be overstated. Data has become the lifeblood of innovation, driving decisions, shaping industries, and transforming how we live ...
The DPDP Act has accelerated this shift—forcing companies to re-examine how they collect, process, monitor and explain data ...
What is data governance and how does it benefit my organization? Your email has been sent Vendors as varied as Google Cloud and Oracle all hope to sell you data governance, but it turns out data ...
2don MSNOpinion
Strategic autonomy in AI needs public investment across data, models, talent and governance
India's AI ambitions are hampered by its reliance on global tech giants for foundational models and infrastructure. While ...
Data governance is an umbrella term encompassing several different disciplines and practices, and the priorities often depend on who is driving the effort. Chief data officers, privacy officers, ...
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