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New Developments NEXYTE is a decision intelligence platform for data fusion and AI-powered analytics, designed to accelerate complex investigations and optimize decision-making. We are pleased to introduce significant new developments for NEXYTE, including: • Out-of-the-box intelligence modules – NEXYTE software now enables immediate synergy with Cognyte’s portfolio solutions, based on dedicated plugin modules. Notable capabilities include continuous data ingestion for profiles and activities, as well as operational results from tactical devices. • Entity resolution enhancements – NEXYTE has a newly enhanced entity resolution mechanism to accommodate multiple identifiers for a single entity, as well as a new and improved automated entity merging mechanism. • Inferred relations from images – NEXYTE leverages machine learning models to automatically identify, classify and visualize inferred relations between subjects from ingested images. This allows analysts to expand their investigations, while saving valuable time, by automatically processing large volumes of images. • Infrastructure - Given the importance of robust infrastructure, NEXYTE now includes support for Red Hat Enterprise Linux OS, (on top of Ubuntu OS), as well as extended security components (such as Demilitarized Zone and Linux Hardening) and audit enhancements. These developments enhance NEXYTE’s performance, by enabling seamless integration, enhanced analytics, and fusion of complex and large-scale data sets. Click here for a live demo of NEXYTE Executive Spotlight Interview Ever wondered how organizations tackle the challenges of seamlessly integrating data from diverse sources for advanced analytics? In our exclusive Q&A, Mark Massop, a retired law enforcement officer and current VP of Sales for NEXYTE NA, shares insights on the evolving landscape of data fusion. From the changing nature of data, incorporating unstructured sources like OSINT, to groundbreaking solutions like NEXYTE that bring various data types under one analytical umbrella, this Q&A unveils the secrets behind overcoming complex data integration hurdles. 1. In your experience, what are the primary challenges organizations face in effectively fusing data from diverse sources for advanced analytics? How do you navigate these challenges to ensure the seamless integration of disparate data sets? There are several issues and challenges to consider to effectively bring data together from very diverse sources. Years back, while I was serving, data fusion , while still challenging, was far easier than today. Mainly because the data was fairly consistent, meaning we needed structured data living in different databases and spreadsheets. Today, the word “data” goes well beyond what I had to deal with 20 years ago. Data today includes those traditional structured systems. But it also includes unstructured data sources like reports, interviews, news articles from OSINT sources, images, audio, and video files. Data today comes in all different shapes and sizes. Looking ahead, the sources that are needed will continue to evolve and grow. While back in the day, we also had access to data types beyond structured data, the solutions we used were not designed to provide the automated insights we see today. For unstructured data, we manually created structure by identifying entities in the reports and then manually entered those into a structured database. With the advancement of technology over the years, it has become easier to glean insights into these diverse data types, but it typically requires the consumers (analysts and investigators) to jump between multiple different solutions. The best way to overcome these challenges is to identify solutions that can harmonize drastically different data types into a single platform, thus limiting the need to host multiple different solutions. When I was first introduced to NEXYTE, my first reaction was that I had not seen a solution that allows for so many different data types from different sources to be fused into a single platform for analysis. That was one of the driving factors in my decision to join this team. 2. As the volume and complexity of data continue to grow, how do you see the role of artificial intelligence and machine learning evolving in enhancing data fusion and analytics capabilities? One of the key roles of artificial intelligence and machine learning is reducing the time it takes to arrive at insights from the different data types presented to users. As I mentioned, unstructured text analysis has been and continues to be a challenge for a lot of users. Speaking with agencies around the world, a lot are still doing what I did 20+ years ago. They are printing outreports, narratives, interviews, etc., and then manually marking up those documents with highlighters to identify people , places and things of interest. Once that process is done, someone is then manually entering that data into a structured system , like a database. Not only is this a very time-consuming process, but it is also very prone to human error. With the current capabilities of AI and machine learning, machines can take that manual process and automate it, thus accelerating the process. Once the data is fused into a single instance, by incorporating AI-powered analytics, the time it takes to arrive at additional insights is also accelerated. With AI-powered analytics, users can discover patterns and trends more quickly then they would using traditional methods. For example, a series of crimes, which would be discovered eventually using traditional tools, could be identified more quickly with the help of AI and machine learning, thus preventing additional crimes and potential injuries or loss of life. 3. Data security and privacy concerns are becoming increasingly prominent. How do you address these challenges while ensuring that advanced analytics processes can still extract meaningful insights from sensitive data? Are there specific frameworks or best practices you find instrumental in balancing the need for data security with the demand for sophisticated analytics? When it comes to data security and privacy concerns, a lot of nations have set standards for managing information. Specifically, in the US, there are several standards in place such as USC 28 CFR Part 23, NIEMS (National Information Exchange Model) and CJIS (Criminal Justice Information Systems) Standards. Other nations around the globe have adopted similar standards. When identifying new technologies, it is important to make sure those technologies can comply with the local standards. Can you firewall off information from users who don’t have a right or need to know that information? Can you push those security policies all the way down to field level? These are important considerations when making the determination for future solutions. Additionally, if using advanced AI and machine learning, can you easily explain the results the system produced? Or is the system a “black box” that hides the output behind the company’s intellectual properties? With the public lack of trust in government agencies, it is vitally important to be able easily explain the decision -making process behind any system adopted. 4. In the dynamic landscape of technology, interoperability is crucial for maximizing the potential of diverse analytics tools and platforms. Can you share your perspective on the importance of interoperability in the context of advanced analytics, and what best practices you have seen to foster collaboration between different data analytics tools and systems within an organization? From an interoperability perspective, from my point of view, it is important to make sure that future systems are not “rip and replace” solutions. They should leverage your current technology investments. Systems with published APIs are an easy start. Those systems allow for easy transfer of data between legacy and new solutions. Data that is owned by the agency should be available to transfer into advanced analytical solutions such as NEXYTE. If those solutions have the published APIs, then it is easy to connect and move data between systems, to include “roundtripping” data. For example, taking information from a legacy case management solution, moving that information into an analytical solution for deeper analysis, and then taking the artifacts created during the analysis process and pushing those back into the case management solution. For data which the organization does not own, but has a right to access via the systems they use, it is important that the new solution allow for external calls to those sources for specific data records that can be easily co-mingled with the organization ’s internal data. Having the ability to conduct a “federated search” against non-owned data is important. Industry Insights Get up to speed with the latest articles from industry-leading publications on how decision intelligence is transforming investigations: Police1.com – Decision intelligence can transform how law enforcement officers work with digital forensics Security Boulevard – How to combat ‘pig butchering’ scams with decision intelligence Spiceworks - How decision intelligence solutions mitigate poor data quality PolicingInsight - The police data challenge: complexity, scale, and the search for the ‘single source of truth’ Upcoming Events Webinar – NEXYTE for LEA investigations (Feb. 7th, 16:00-17:00 - GMT+2) This upcoming webinar will explore how decision intelligence and machine learning can accelerate homicide investigations and improve case clearance rates and accuracy in serious crime investigations. We will discuss how to leverage available data sources and how AI and machine learning can boost investigations. The webinar will include a live demo showing how to use NEXYTE, Cognyte’s decision intelligence platform, to investigate homicide cases. Conference – World Police Summit in Dubai (March 5th - 7th) Cognyte will make its inaugural debut at the World Police Summit exhibition in Dubai, presenting its investigative analytics portfolio and showcasing how NEXYTE empowers users to fuse data, extract insights, and resolve cases faster with decision intelligence. Conference – AFCEA West 2024 Join us on February 13-15 in San Diego, CA, at the premier sea services conference on the West Coast, bringing together military and industry leaders to explore current and future naval platforms and technologies. Visit us at booth #2131 NFCA Annual Training Event Join us on March 25-28 in Washington, DC at the National Fusion Center Annual Training Event, bringing together fusion center personnel, federal and local partners, and valued corporate sponsors to share innovative ideas and business practices with the goal of enhancing fusion center capabilities. LEARN MORE ABOUT NEXYTE About Cognyte Cognyte is a global leader in investigative analytics software that empowers a variety of government and other organizations with Actionable Intelligence for a Safer World™. Our open interface software is designed to help customers accelerate and improve the effectiveness of investigations and decision-making. Hundreds of customers rely on our solutions to accelerate and conduct investigations and derive insights, with which they identify, neutralize, and tackle threats to national security and address different forms of criminal and terror activities. Visit Us No longer want to receive these emails? 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