Data Topics

When it comes to AI governance, most enterprises are still trying to put all the pieces together. They have good intentions – close to 90% of those organizations already using AI are working on AI governance, according to IAPP...

Table of Contents The Importance of Data Governance and Stewardship Defining the Data Governance Structure…

Table of Contents Canada’s Blueprint for AI Excellence What Is AI Governance? Why Does AI…

Shutterstock For many people in business, the mention of a data governance program evokes excessive…

Naumova Marina / Shutterstock Imagine a rapidly expanding small business with a 20% yearly growth tasked with…

Manufacturers want to save money, conserve energy, and reduce greenhouse gas emissions, but it’s a…

Businesses are intensively exploring generative AI (GenAI) in their search for game-changing use cases. In this context, LLM-based AI engineering is outgrowing simple prompt engineering, leading to the rise of what has been dubbed PromptOps.  PromptOps is a systematic methodology for optimizing the way large language models (LLMs) are prompted. This approach to managing AI prompts at scale...

Generative AI is evolving at a rapid pace – from automating document extracts to reviews to powering customer interactions. But with speed comes greater risks, including privacy leakage, intellectual property leakage, bias in outputs, regulatory frameworks, and unclear accountability. Unlike traditional IT systems, generative AI adoption is often bottom-up with employees’ vibe coding with models, making it hard to control technically while foundation models evolve unpredictably...

The global market for artificial intelligence is evolving under two very different legal paradigms. On one side, the European Union has enacted the AI Act, the first comprehensive and enforceable regulatory regime for AI, applicable across all member states and with far-reaching extraterritorial scope. On the other, the United States continues to advance AI oversight primarily at the state level, resulting in a patchwork of rules that vary in focus, definitions, and enforcement...

While large corporations like Optus, Medibank, and The Iconic often dominate headlines for cybersecurity breaches, the reality is that small businesses are increasingly attractive targets for cybercriminals. Many small business owners operate under the dangerous illusion that their business is too small or insignificant to attract the attention of cybercriminals or that they have nothing of value to steal. This mindset often leads to a false sense of security...

Read more about author Katrina Ingram. Last October, I wrote a column about the use…

Read more about author Mark Cooper. The ink is barely dry on generative AI and…

When it comes to AI governance, most enterprises are still trying to put all the pieces together. They have good intentions – close to 90% of those organizations already using AI are working on AI governance, according to IAPP...

Organizations face mounting pressure to govern their data effectively, especially as employees rapidly adopt generative AI tools for daily work – often without proper oversight. This so-called shadow AI...

As organizations discover new ways to leverage the often massive amount of data they collect, the demand for data science professionals continues to grow. The U.S. Bureau of Labor Statistics predicts...

With the rise of AI and ever-evolving data privacy regulations, data governance is no longer optional. Yet, DATAVERSITY’s recent Trends in Data Management Report reveals a striking disconnect...

The latest installment in our Q&A series with women in data features Andrea Barber, a healthcare and data analyst professional. Andrea discovered her love for data and analytics while working in the healthcare industry...

Table of Contents The Importance of Data Governance and Stewardship Defining the Data Governance Structure…