Does your existing data governance model align with your data and analytics strategies? 55% of data and analytics leaders surveyed reported the lack of standardized approach to data governance as the ...

As tools like generative AI become increasingly mainstream, the quality and accessibility of enterprise data has become more important than ever before. Many organizations are rethinking their data ...

Kiteworks’ 2026 data security forecast finds widespread gaps in audit trails, data visibility, and centralized governance as ...

Generative AI interest continues to grow, capturing the attention of business leaders worldwide. Capgemini Research Institute reports that GenAI is now on the boardroom agenda for 95% of organizations ...

Businesses are scurrying to adopt artificial intelligence (AI) tools as more become available, but most have not implemented the necessary metrics to measure the returns on their investment. Many also ...

Summary: The second post in our data loss prevention series offers a roadmap for implementing Microsoft Purview DLP to secure sensitive data in AI-influenced environments. From discovery and ...

The starting point in developing and launching an enterprise data and analytics strategy is to understand the interrelationships that are necessary to deliver analytics capabilities. These ...

While it may be tempting to try and develop a program with a small group of stakeholders, this may slow down or even halt program development. As a first step, needs should be assessed and socialized ...

Key questions to address in AI governance include what important regulatory compliance is needed, what data can be used in training AI models, what data must not be shared with public LLMs, and what ...

In today’s fast-paced world, retailers are generating more data than ever before. From customer transactions to inventory management, retailers need to be able to manage, integrate and govern their ...

Thailand’s digital economy is expanding rapidly, supported by rising adoption of cloud services, growing AI usage, and continued investment in data infrastructure. However, foundational gaps in skills ...