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Why big data isn’t enough for law enforcement: Investigating with critical thinking
Cognyte discusses combining decision intelligence methodologies with big data, AI and machine learning to help analysts make sense of data and analytics insights.
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Machine Learning and Data Fusion Enable Improved Decision Intelligence to Screen Asylum-Seekers and Refugees
Data-driven decisions take some of the guesswork and bias out of immigration management processes and help to promote overall fairness. According to Cognyte, machine learning (ML) and data fusion technologies form the bedrock of this approach, with their combined ability to leverage big data and advanced analytics to manage the risk posed by potential asylum-seekers and refugees. This includes closer scrutiny of criminal and terrorist elements, with more efficient threat assessment and risk scoring – leading to improved prioritization.
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Anti-Money Laundering Investigations Require Greater Multi-Sector Cooperation & Improved Decision Intelligence Capabilities
Across the globe, money laundering remains a key challenge to address organized crime. This is exacerbated by cryptocurrency, blockchain and the anonymity they afford bad actors who are trying to obscure the source of illicit funds. Rosa van Dam, decision intelligence platform product manager at Cognyte, sheds light on the importance of better multi-sector cooperation and decision intelligence capabilities to improve anti-money laundering investigations.
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Iguazio releases high-speed serverless platform to open source
Iguazio Systems Ltd. has raised $48 million and a lot of interest for its platform-independent approach to data analytics. Now the company is releasing some of the underlying serverless computing technology under an open-source license.
Called nuclio, the platform is claimed to operate at faster-than-bare-metal speed, processing up to 400,000 events per second compared with 2,000 on Amazon Web Services Inc.’s Lambda platform, according to Yaron Haviv, founder and chief technology officer of Iguazio.