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.
Tips from the Shelves: Proven Methods for Boosting Data Warehouse Speeds
In this special guest feature, Jason Harris, Evangelist at Panoply, discusses how data collection and analysis are further enhanced when including methods for disseminating, analyzing, and distributing data. Jason is Panoply’s Evangelist and works to serve the data community within Panoply. He’s a former DBA, report developer and code monkey; and now manages Panoply’s social media and events strategy so if you haven’t seen him in person yet, you will likely soon.
CEO: 'Claying the ongoing continuous chaos of info into one logical masterpiece'
Panoply emerged from stealth in late 2016 and now wants to announce general availability of its data warehouse product. It exclaims that, after four decades of stagnation in the data management industry – is this a realistic claim by the way? – it has the world's only Smart Cloud Data Warehouse, which is cloud-native, fully self-driving and autonomous.
Iguazio Re-Architects the Stack for Continuous Analytics
When it comes to modern big data architectures, you will typically find lots of different components, engines, and moving parts, each of which tackles part of the problem. One vendor with bold vision of re-architecting the stack with a more streamlined approach is Iguazio, which is building a singular product based on Flash that delivers continues analytics on big and fast data.