Whitepaper Archives | STAGING

The Architect’s Gambit: Decoupling European Intelligence from the Sovereignty Trap To maintain national agency, European CIOs must pivot from platforms requiring external “minding” to autonomous, in-house architectures. Adopting a ‘Made in Europe’ technical baseline ensures that the logic of safety is written locally, removing the vulnerability of foreign-controlled service models. The geopolitical landscape of 2026 […]

Palantir Products and Competitors: Alternatives to Gotham and Foundry Intel / LEA / Defense Why this guide Organizations evaluating Palantir alternatives often ask similar questions about products, costs, and the competitive landscape. Below you’ll find clear, skimmable answers — plus where DataWalk fits. Introduction Palantir Technologies is a global leader in data, analytics & AI, […]

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AI Against Crime: Pioneering Innovations that Transform the Fight Against Crime Experience the Power of the DataWalk Platform in Action Download PDF AI Framework in Crime Prevention and Investigation In general, Graph AI brings together a variety of key graph and AI-based functions for integrating, organizing, understanding, and analyzing complex interconnected data. The integration of […]

Graph Analytics Applications, Build or Buy? Whitepaper Executive Summary More and more organizations today are investing in graph analytics solutions to uncover decision driving insights from various types of data. A common question among them is whether to address this need by purchasing a commercial-off-the-shelf (COTS) graph analytics solution or building their own application on […]

Introduction to Knowledge Graphs: A Transformative Approach to Working with Data In recent years, knowledge graphs have emerged as a critical solution for capturing and structuring an organization’s knowledge, and serving as a foundation for next-generation artificial intelligence (AI) applications. This paper provides an introduction to knowledge graphs, the benefits they provide, who should use […]

  Navigating the constantly shifting landscape of regulatory requirements presents a daunting task for banks. At the core of this challenge is the Know Your Customer (KYC) process, which has grown increasingly complex and demanding in recent years. The necessity for significant resources and expertise only heightens the difficulty. Financial institutions, including banks, must adopt […]

Connecting the Dots: Know Your Customer Better With Graph Analytics And Machine Learning Whitepaper For decades all customer risk score models and KYC analyses have relied on flat data, thus missing any insights that could potentially be gained from connections and relationships. Leveraging AI applications hasn’t eliminated these limitations. BSA regulations require financial institutions to […]

Financial institutions today face significant challenges in detecting, preventing, and investigating financial crimes (e.g., fraud and money laundering). The growing complexity of financial transactions, the increasing sophistication of criminal activities, and the sheer volume of data can make it difficult to identify and mitigate these risks. This becomes more challenging considering the fact that the […]

Graph Embeddings: A Breakthrough For Detecting High-Risk Accounts & Transactions A superior alternative to conventional machine learning Graph Embedding vs. Conventional Machine Learning Graph embeddings are algorithms used to represent graphs in more computationally digestible formats. They are very useful in reducing the complexity of computations in machine learning (ML) and other AI tasks while […]