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.
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.
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.
Data Fusion and Analytics for Chief Investigators: Survey Report, August 2022
Our friends over at Cognyte have a second survey on data fusion and analytics – this time for chief investigators. In their last survey, the 2022 IT leaders in the Data Fusion/Analytics Domain, the company spoke to CIOs and IT executives about their challenges and investment priorities for data fusion.
Investigating Future Security Threats with AI, ML and Data Fusion
Cognyte discusses the emergence of artificial intelligence (AI) and machine learning (ML) technologies, which have been transformative for security organizations. With their arrival, organizations are no longer limited to reactively investigating and resolving criminal acts that have already been committed. AI and ML – complemented by sophisticated data fusion and analytics capabilities – have introduced a new era of proactive, predictive threat assessment that can help us identify and mitigate threats before they occur.
Tackling a New Human-Centric AI Paradigm: Startup Interview with AIR Cofounders
AIR is a Canadian startup focusing on a new AI training approach that allows the tackling of challenges that are too complex for traditional machine learning methods. Hackernoon interviews the company on its mission and purpose as part of the Hakernoon Start Up of the Year Series.
AI Redefined commits to better training models under new CEO
AI Redefined (AIR) is the developer behind an open source Cogment framework that makes it simpler for humans to train virtual agents created using AI models. Today the startup named G. Craig Vachon to be its CEO in place of Dorien Kieken, who will now assume the role of president.
Amazon Briefing: Private equity is zeroing in on the Amazon ecosystem
TCM, an Israeli acquirer that runs an algorithm to identify — and optimize — growing businesses, said that, in the coming year, 30% of its new acquisitions will be off-Amazon e-commerce businesses. Of those, most will be centered on Shopify.
WattIQ Uses Its Power for Good
Enter WattIQ, a 12-person company that previously went by the name Ibis Networks. The rebranded firm is now in the asset-management business, with a particular focus on pharma labs. They essentially retrofit a monitoring network onto all that shiny expensive lab equipment.