Nuix stories
Exclusive: Nuix CEO warns 'poor data in AI only results in poor decisions faster'
Thu, 10th Apr 2025
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data analytics
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data science
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risk & compliance
Nuix CEO Johnathan Rubinsztein highlights the company's transformation to a platform model, aiming for clarity and trust in AI amidst rapid technological change.
Nuix earns patent for AI breakthrough in document sorting
Mon, 17th Feb 2025
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ai
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cybersecurity
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ml
Nuix has secured a patent for a groundbreaking technology aimed at improving AI model training, promising to enhance document classification in NLP.
Nuix appoints Roland Slee to boost AI platform growth
Thu, 24th Oct 2024
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nuix
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bravura solutions
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job moves
Nuix has named Roland Slee as Vice President of Customer Strategy and Innovation to enhance its AI platform, Nuix Neo, and boost growth.
Nuix unveils major AI advancements in its Neo platform
Thu, 5th Sep 2024
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martech
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llms
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ai
Nuix unveils major AI upgrades to its Nuix Neo platform at XLR8/24, boosting search accuracy and reducing processing times dramatically.
Nuix to explore ethical AI at 2024 conference series
Wed, 28th Aug 2024
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hcm
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data privacy
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ai
Nuix is set to host its second XLR8 conference, exploring the intersection of AI and humanity, with speakers like Brendan Dowling discussing ethical AI practices.
Veritone & Nuix join forces to elevate AI-driven redaction
Fri, 23rd Aug 2024
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uc
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digital entertainment
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risk & compliance
Veritone partners with Nuix to integrate AI-powered redaction into Nuix's Neo platform, enhancing capabilities for audio, video evidence in investigations and compliance.
Nuix & Consilio expand seven-year partnership in legal tech
Sat, 25th May 2024
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data privacy
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legaltech
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nuix
Nuix and Consilio have signed an expanded seven-year partnership, aiming to revolutionise data processing and document review through advanced technology solutions.
Nuix warns lack of diversity in AI is leading to biased outcomes
Thu, 4th Apr 2024
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martech
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ai
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software development
Software provider Nuix raises concerns over the lack of diversity in AI coding, affirming the lack can lead to biased data and flawed AI outcomes.