Jamie Hutton, CTO of Quantexa: An experienced leader helping organizations solve the hardest data problems with sustainable and scalable technology platform

The Silicon Review

The arrival of decision intelligence is as timely as it is critical. According to Forrester, only 1 in 5 organizations is using BI in any meaningful way today. A lack of personalization within BI platforms means business professionals simply aren’t using these tools in the ways they should or aren’t using them at all. Modern analytics and business intelligence platforms are failing the majority of the workforce - the frontline workers - because insights are not contextualized, easily consumable, or actionable. The dashboard is becoming an obsolete tool and is being replaced by Decision Intelligence apps with more automated experiences. As a result, the amount of time users spend using predefined dashboards will decline. The shift to in-context data apps means that the most relevant insights will stream to each user based on their context, role or use case. Decision intelligence leverages AI, machine learning and contextual intelligence to deliver quantifiable recommendations to help make faster, more accurate, more consistent decisions. Unlike humans, AI can analyze large datasets in seconds without errors or biases.

Quantexa is one such Contextual Decision Intelligence firm that offers a new approach to data that gives organizations the ability to connect internal and external data sets to provide a single view, enriched with intelligence about the relationships between people, places and organizations. Their platform dynamically generates the context needed to automate millions of operational decisions, at scale, across multiple business units, including Anti-Money Laundering, Know-Your-Customer, Fraud, Credit Risk and Customer Intelligence. The technology platform they have built is sustainable and scalable as part of an industry ecosystem: it evolves with the market. They work with Tier 1 organizations worldwide, like HSBC, and Standard Chartered Bank, helping these businesses handle tens of billions of records. With real-time entity resolution, network generation and advanced analytics, Quantexa creates the context that helps organizations make more informed and accurate decisions – faster. Quantexa is a global business with offices in London, New York, Boston, Brussels, Toronto, Singapore, Melbourne and Sydney.

Leveraging Robust Platform for Meaningful Data and Trusted Decisions

Integrated Contextual Decision Intelligence (CDI) Platform: It connects tens of billions of internal and external data points to create context – entity graphs that reflect the real world, enriched with vital intelligence about the network of relationships between people, organizations, and places. Analytics can be powered by context and embedded into your operational decision processes, whether fully automated or augmented by human decision makers. Quantexa offers a modular integrated platform with open data interfaces and APIs, enabling deployment of exactly what is needed with quick time-to-value. This allows data scientists, developers and product teams to focus on analytics that make your organization unique and competitive and integrate them into the heart of your operational systems, resulting in faster and better decision-making.

Dynamic Entity Resolution: Connect data wherever it is, regardless of quality to create a single, complete view. Ingest once and resolve dynamically in real-time or in batch, for any number of use cases, without duplication. Dynamic entity resolution connects billions of data points across internal and external data sources in real-time or batch, to create a single, enterprise-wide view of people, organizations, places and more. In fraud and financial crime, criminals intentionally manipulate their details with incorrect data, or provide as little information as possible to avoid detection. Their entity resolution was built to solve these key challenges from the outset – meaning that by design, it handles poor quality data with exceptional performance. So the technology is robust for any business use case – able to bring together data from disparate systems and overcome any data quality issues faced by your organization.

Real-world Network Generation: Show real-world connections in your customers’ network to better understand who they are, their behavior and connections. Their network generation creates a dynamic view of the bigger picture, automatically compiling the most relevant connections, entities and data for a specific decision. This context captures how people, organizations, events and places relate to each other to inform decisioning. Build networks from billions of records in batch, via throughput optimized Apache Spark, using common configuration and graph scripting. Or deploy with their unique dynamic capabilities. Build a use-case tailored network on demand, respecting user access rights, in minutes rather than days. The user interface (UI) makes sense of huge volumes of data, surfacing the most important connections so you can understand the context created. Search for any customer or entity of interest like you’re using a search engine. Easily query big data sets to uncover themes and trends as a starting point to analyze further in a network view. All in one, integrated UI.

Jamie Hutton | Chief Technology Officer

Over the last 13 years, Jamie has been using big data technology to uncover complex criminal activity across the financial sector. Having pioneered the concept of dynamic entity resolution, Jamie manages the R&D and cloud teams to make this a reality and ensure our product solves global real-world challenges faced by some of the world’s largest organisations. Jamie has enabled the detection of multi-million-pound crash-for-cash scams, complex money laundering activity and insider fraud.