Enterprise Content Management
In a recent Gartner poll of over 1,400 executive leaders, 55% revealed active involvement in Generative AI, either in the pilot or production stages. This statistic closely mirrors the trends we've identified within our own customer base.
Artificial Intelligence (AI) is no longer a distant dream; it’s here, and it’s everywhere – from the latest news headlines to our social media feeds and even in our personal and working lives. In fact, a recent global survey found that 54.6% of organizations are actively engaging and experimenting with AI.
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.
Komprise has announced a new released of its Intelligent Data Management Solution, which introduces Elastic Replication to cut the cost of replicating unstructured data.
OpenText has announced the second generation of its advanced cybersecurity auditing technology.
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.
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.
Structured data in relational databases revolutionized the management of transactional data. Today, large organizations have 100’s and sometimes 1,000’s of databases and associated applications, inevitably modified over time as business requirements evolved. To make sense of structured data, every organization also uses tools to create easily understandable business objects - a software representation that has a set of attributes and values, operations, and relationships to other business objects, and models business behaviour.
Despite new updates to privacy regulations across the globe, including Australia’s Privacy Act Review Report in 2023, only 39 percent of Oceania respondents say they find it easy to understand their organisation’s privacy obligations, according to ISACA’s Privacy in Practice 2024 survey report.
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