Articles

In our digital transformation era, the amalgamation of artificial intelligence (AI) and data governance presents a rich landscape of opportunities and challenges. As organizations continue to leverage AI, including large language models (LLMs), it becomes imperative to scrutinize the potential risks and explore sophisticated solutions.

Data quality was nominated as the main obstacle to uptake of Generative AI, according to a global survey undertaken for Informatica. The report, which canvassed 600 enterprise Chief Data Officers and other data decision makers across the US, Europe, and Asia-Pacific, found nearly all (99%) of generative AI adopters have encountered roadblocks

AI is expected to heighten the global ransomware threat, says the UK's national security and intelligence agency, GCHQ. It has issued a new report which suggests artificial intelligence will almost certainly increase the volume and impact of cyber attacks in the next two years.

OpenText has announced the second generation of its advanced cybersecurity auditing technology.

At Cambridge Semantics, we have watched the explosion of AI awareness in the last year with interest. Nearly every tech leader considering our knowledge graph platform, Anzo, is also actively seeking to integrate artificial intelligence and machine learning into their operations. This drive is fuelled by a growing emphasis on harnessing these technologies for enhanced insights and efficiency.

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