Rainier Client Coverage & Content

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Spiceworks: How Decision Intelligence Solutions Mitigate Poor Data Quality

How Decision Intelligence Solutions Mitigate Poor Data Quality

Explore solutions to poor data quality challenges in investigations with insights from Tom Saltsberg, Product Manager at Cognyte. Investigators and intelligence analysts are frequently challenged to make sense of poor quality. Poor data quality presents fundamentally unique challenges in part because ‘poor’ is a relative term – and in most cases, analysts cannot recognize whether data is of poor quality at first glance, thereby needing to assess it beforehand, which is time-consuming and inefficient.

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Security Boulevard: How to Combat ‘Pig Butchering’ Scams with Decision Intelligence

How to Combat ‘Pig Butchering’ Scams with Decision Intelligence

Ever since people started exchanging goods and services, there has been a risk of one party scamming the other. And there has always been a risk of a third party scamming both the seller and the buyer. In recent years, fraud has taken on new forms and become more powerful than ever, and fraudsters take full advantage of every weak spot in every system and use any new technology they can find. ‘Pig butchering’ scams are every bit as dark/disturbing as the name implies, noted by Noam Zitzman of Cognyte.

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Government Executive: Stimulus Fraud Prevention Isn’t a Lost Cause, It’s an Opportunity for New Tools and Techniques

Stimulus Fraud Prevention Isn’t a Lost Cause, It’s an Opportunity for New Tools and Techniques

Tracey Montaño, industry consultant for Cognyte, shares how the lessons learned – and the data – from Paycheck Protection Program fraud can be used to build better models for sifting through fraud data. The many investigative challenges that arose after PPP fraud should be embraced as opportunities to evolve methods and data sharing. 

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Homeland Security Today: Using Decision Intelligence to Combat Smuggling Networks

Using Decision Intelligence to Combat Smuggling Networks

Cognyte offers its perspective on using decision intelligence to combat smuggling: Smuggling – the illicit movement of goods into or out of a country – is a major challenge for customs administrations and tax authorities alike. Smuggling plays a key role in the cross-border flow of drugs, fake medicine, weapons, and more, and it’s an insidious threat to fair trade, with both immediate and long-lasting implications for local economies and residents.

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Spiceworks: Using Decision Intelligence to Investigate Money Laundering

Using Decision Intelligence to Investigate Money Laundering

The modern global financial system is a money launderer’s dream and a financial investigator’s nightmare. Decision intelligence, digitization and technology can improve outcomes for AML investigations by empowering financial investigators in identifying and prosecuting money laundering networks, shares Rosa van Dam, decision intelligence platform product manager, Cognyte.

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insideBIGDATA: Harness Unstructured Data with AI to Improve Investigative Intelligence

Harness Unstructured Data with AI to Improve Investigative Intelligence 

In this special guest feature, Jordan Dimitrov, Product Manager, Unstructured Data Analytics, Cognyte, addresses the importance of unstructured data, why AI is an invaluable tool and how to move beyond legacy approaches to data management.

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WCO News: Moving from risk management to decision intelligence: what it means and where to start

Moving from risk management to decision intelligence: what it means and where to start

Tom Saltsberg, Product Manager at Cognyte, discusses the delicate balance between facilitating legitimate trade and combatting illicit trade. This raises numerous challenges for Customs administrations, and to overcome them, Customs authorities need to work smarter and more efficiently.

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GCN: Why big data isn’t enough for law enforcement: Investigating with critical thinking

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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Homeland Security Today: Machine Learning and Data Fusion Enable Improved Decision Intelligence to Screen Asylum-Seekers and Refugees

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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SpiceWorks: Anti-Money Laundering Investigations Require Greater Multi-Sector Cooperation & Improved Decision Intelligence Capabilities

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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insideBIGDATA: Data Fusion and Analytics for Chief Investigators: Survey Report, August 2022

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.

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insideBIGDATA: Tips from the Shelves: Proven Methods for Boosting Data Warehouse Speeds

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.

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The Register: CEO: 'Claying the ongoing continuous chaos of info into one logical masterpiece'

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.

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Datanami: Iguazio Re-Architects the Stack for Continuous Analytics

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.