While artificial intelligence and big data steal the spotlight, a less glamorous but equally crucial discipline is quietly shaping the future of business: data governance. With European regulators imposing fines of up to 17.29 million pounds for data mismanagement, it’s clear that data governance is not just a compliance checkbox. It’s a strategic investment that can empower your organization with a tangible return on investment.

This article explains what IGA is and the benefits it offers. It also clears up some misconceptions about IGA and offers guidance about what to look for when assessing candidate IGA solutions.

Is your company grappling with an increasing volume and complexity of information? A strong data governance framework is essential to harness the power of data while lessening risks. This strategic framework ensures data is managed effectively, meets quality standards, and supports informed decision-making, quality standards, and supporting informed decisions. As regulatory compliance burdens intensify, data governance has become critical to organizational success.

As noted in the 2024 Gartner Market Guide for API Protection“API security governance is an emerging capability. It allows the administrator of the tool to define and enforce security policies. Unlike posture management, this is a top-down enforcement. It also allows for compliance reports for specific regulations to be generated automatically.” This capability is becoming increasingly important as organizations face a constantly evolving threat landscape.

In the modern workplace, GenAI models have become powerful assets due to their ability to introduce efficiency, up level product innovation, and expedite how teams close the gap on competitors. However, these powerful tools also introduce significant risks related to data security and governance. Companies that aren’t actively figuring out how to govern the GenAI they’ve adopted will inevitably be left vulnerable.

Effective data governance has become a cornerstone of success in today's rapidly evolving life sciences landscape. From ensuring regulatory compliance to enabling secure collaboration, a robust data governance strategy is essential. ‍

Data has become the lifeblood of modern businesses, influencing important business decisions and powering digital transformation initiatives. As more data comes in and new sources appear, it’s important to manage this valuable asset effectively. Here is where a strong data governance system comes into play.

In an era of unprecedented advancements in AI, the National Institute of Standards and Technology (NIST) has released its "strategic vision for AI," focusing on three primary goals: advancing the science of AI safety, demonstrating and disseminating AI safety practices, and supporting institutions and communities in AI safety coordination.

At the core of business management are the rules, practices and processes that define how your organization is directed, operated and controlled. This system, known as corporate governance, is aimed at creating more ethical business practices by aligning the interest of your organization’s stakeholders. In today’s business environment, the more ethical-and transparent-your organization is about its corporate governance practices, the more financially viable it will be.