In the age of artificial intelligence (AI), data has emerged as the lifeblood of innovation and decision-making. Organizations are increasingly leveraging AI to gain insights, make predictions, automate processes, and enhance customer experiences. The use of AI can also be used to tend the quality, integrity, and security of data, making data governance more important than ever before. This topic came to us from RT Insights in their article, “Data Governance Concerns in the Age of AI.“
AI systems rely on vast amounts of data to train and operate effectively. Whether it’s machine learning algorithms, deep learning networks, or natural language processing (NLP) models, the quality of data plays a pivotal role in determining the accuracy and performance of AI applications. Without proper data governance, organizations risk feeding biased, inaccurate, or incomplete data to AI systems, resulting in flawed outcomes, ethical concerns, and a loss of trust.
As AI continues to transform industries and drive innovation, it is clear that data governance is not an option but a necessity. Data governance assures that AI serves rather than harms humans by safeguarding data and maintaining public trust.
Maintaining data stores intact and unspoiled is important, as is making data accessible. We specialize in both. Whatever the search, it is vital to have a comprehensive search feature and quality indexing against a standards-based taxonomy. Choose the right partner in technology, especially when your content is in their hands. Access Innovations is known as a leader in database production, standards development, and creating and applying taxonomies.
Melody K. Smith
Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.