Seeing More Than the Human Eye – AI as a Battlefield Analyst
The modern battlefield is not only a physical space but also a dynamic digital environment where data and its interpretation play a crucial role. With the growing number of sensors, drones, cameras, and radar systems, the military now has access to an unprecedented amount of information. The challenge is no longer data scarcity but effective analysis. This is where Artificial Intelligence (AI) steps in, revolutionizing reconnaissance and real-time decision-making. AI as a Digital Scout Traditional intelligence data analysis methods are time-consuming and prone to human error. AI changes the rules of engagement by enabling: automatic object recognition in satellite and video imagery, detection of anomalies in troop movements and activity, identification of enemy behavior patterns based on historical data, real-time analysis of audio, visual, and sensor data, classification and prioritization of threats using risk models. Thanks to machine learning (ML) and deep learning (DL), AI systems can not only identify vehicles, weapons, or military infrastructure but also distinguish between civilian and military objects with high accuracy. Image analysis algorithms can rapidly compare current data with historical records to detect changes that may indicate military activity. For example, an AI system can detect a newly established missile site by analyzing differences in satellite imagery over time. AI Supports Decisions, It Doesn’t Replace Commanders Artificial Intelligence does not replace commanders – it provides ready-to-use analysis and recommendations that support fast and accurate decisions. So-called “intelligent command dashboards” integrated with AI systems enable: analysis of projectile trajectories and prediction of impact points, risk assessment for specific units and areas of operation, generation of dynamic situational maps that reflect enemy movement, correlation of data from multiple sources, including: Radar: provides real-time movement tracking, SIGINT (Signals Intelligence): analyzes intercepted electronic signals, e.g., enemy radio communication, HUMINT (Human Intelligence): includes data from agents, soldiers, and local informants, OSINT (Open Source Intelligence): utilizes publicly available data from social media, news, and live feeds. AI also supports mission planning by analyzing “what if” scenarios. For example: what happens if the enemy moves 10 km west – will our forces maintain the advantage? These tools significantly increase situational awareness, which is crucial during rapid conflict escalation. Examples of AI Use in Global Defense Project Maven (USA): A U.S. Department of Defense initiative that uses AI to automatically analyze drone video footage, detecting objects and suspicious behavior without human analysts. NATO Allied Command Transformation: Using AI systems to support decision-making across multi-domain environments (land, air, sea, cyber, space). Israel: The Israeli military uses AI to merge real-time intelligence from multiple sources, enabling precision strikes within minutes of identifying a target. TTMS and AI Projects for the Defense Sector Transition Technologies MS (TTMS) delivers solutions in data analytics, image processing, and Artificial Intelligence, supporting defense institutions. Our experience includes: designing and implementing AI models tailored to military needs (e.g., object classification, change detection, predictive analytics), integrating with existing IT and hardware infrastructure, ensuring compliance with security standards and regulations (including NIS2), building applications that analyze data from radars, drones, optical and acoustic sensors. The systems we develop enable faster and more precise data processing, which on the battlefield can translate into real operational advantage, shorter response time, and fewer losses. The Future: Predicting Enemy Actions and Autonomous Operations The most advanced AI systems not only analyze current events but also predict future scenarios based on past patterns and live data. Predictive models, based on deep learning and multifactor analysis, can support: detection of offensive preparations, prediction of enemy troop movements, assessment of enemy combat readiness, automation of defensive responses, e.g., via C-RAM (Counter Rocket, Artillery, and Mortar) systems – these are automated defense platforms that detect, track, and neutralize incoming rockets, artillery shells, and mortars before impact. C-RAM systems use a combination of radar, tracking software, and rapid-fire weapons (such as the Phalanx system), while AI enhances threat detection, classification, and timing of countermeasures. In the near future, AI will also become the backbone of autonomous combat units – land, air, and sea-based vehicles capable of independently analyzing their surroundings and executing missions in highly uncertain environments. Artificial Intelligence is no longer a futuristic concept but a real tool enhancing national security. TTMS, as a technology partner, is actively shaping this transformation by offering proven, defense-tailored solutions. Want to learn how AI can support your institution? Contact us! What is the Phalanx system? The Phalanx system is an automated Close-In Weapon System (CIWS) primarily used on naval ships and in some land-based versions. It neutralizes incoming threats such as missiles, artillery, or mortars before they strike. It includes radar and a rapid-fire 20mm Gatling gun that automatically tracks and eliminates targets. It’s a key component of C-RAM defense layers. How does the Israeli army use AI to integrate real-time intelligence? The Israeli military integrates intelligence from various sources (SIGINT, HUMINT, drones, satellites, cameras) using AI-powered systems. These algorithms analyze real-time data to identify threats and targets, allowing for precise strikes within minutes of detection. What is NIS2? NIS2 is the updated EU directive on network and information system security, replacing NIS1. It expands cybersecurity responsibilities for essential service operators (including defense) and digital service providers. It includes risk management, incident reporting, and supply chain evaluation requirements. What are C-RAM systems? C-RAM (Counter Rocket, Artillery, and Mortar) systems detect, track, and neutralize incoming projectiles before they reach their targets. They use advanced radar, optics, and weapons like the Phalanx CIWS. AI supports these systems by automating threat detection and engagement decisions. What is SIGINT? SIGINT (Signals Intelligence) involves intercepting and analyzing electromagnetic signals, including communications (e.g., radio) and non-communications (e.g., radar). AI can analyze massive volumes of SIGINT data to detect military activity patterns and anomalies. What is HUMINT? HUMINT (Human Intelligence) is based on information gathered from human sources – agents, soldiers, and local informants. While harder to automate, AI helps assess report consistency, translate languages, and cross-reference with other intelligence. What is OSINT? OSINT (Open Source Intelligence) refers to intelligence from publicly available sources – social media, news outlets, livestreams, and open satellite imagery. AI plays a key role in filtering and identifying relevant insights in real-time from vast data pools.
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AI and Copilot in Power BI – How Artificial Intelligence Transforms Data Analysis
The development of artificial intelligence (AI) has significantly influenced how businesses analyze and present data. Microsoft Copilot in Power BI is an advanced AI-powered tool that automates report creation, data interpretation, and anomaly detection, making data analysis more intuitive and accessible for all users—regardless of their technical expertise. What is Microsoft Copilot in Power BI? Microsoft Copilot is an advanced AI assistant that is part of the Microsoft ecosystem and is used in many applications, including Power BI. In the context of Power BI, Copilot acts as a tool supporting users in data analysis, report generation and interpretation of results without the need to manually create queries or configure visualizations. It allows users to communicate with data in a natural way – by entering questions in English – and then automatically generates appropriate reports and conclusions. Thanks to it, you can create dashboards, analyze trends and quickly respond to market changes without having to know DAX or M coding. Microsoft has chosen to integrate Copilot with Power BI in response to the needs of companies that seek to automate and simplify data analysis. The tool is designed to accelerate business processes, eliminate human error, and facilitate strategic, data-driven decisions. How to Access Copilot in Power BI? Copilot in Power BI is available to users with a Power BI Premium or Power BI Pro license and access to Microsoft Fabric. To activate Copilot, your organization’s administrator must enable it in Microsoft Fabric settings. Copilot is being rolled out in preview across regions, so some users may not have access to it yet. How to Enable Copilot in Power BI? Log in to Power BI Service as an administrator. Navigate to Admin Settings. Locate the Copilot option under the Microsoft Fabric section. Enable Copilot for the organization and assign access to users. What are the Requirements for Copilot in Power BI? To use Copilot, users must meet the following requirements: Power BI Pro or Power BI Premium license Microsoft Entra ID account (formerly Azure AD) Administrator permissions to enable Copilot in Power BI Service Access to Microsoft Fabric The latest version of Power BI Desktop What are the Features of Copilot in Power BI? Microsoft Copilot in Power BI offers a wide range of functionalities that improve data analysis, reporting, and business decision-making. Its main advantage is the use of artificial intelligence to automate analytical processes, which eliminates the need for manual report preparation or analyzing complex queries. Copilot integrates with the Power BI interface, allowing users to interact using natural language. Here are the key features that make Copilot a powerful analytical tool: 1. Report Generation Using Natural Language Queries Copilot enables users to create reports without having to manually define data sources, select visualizations, or configure filters. Simply enter a question, such as “Show me sales by region for the last three months,” and Copilot automatically generates the appropriate report and adjusts the data formatting. Users can also edit reports with simple text commands, such as “Add a line chart to the report” or “Change the X-axis to sales dates.” 2. Automated Narrative Generation and Insights Interpretation Copilot not only creates visualizations, but also provides descriptive summaries of key insights from the analysis. This feature allows users to quickly understand trends and anomalies in the data without having to perform detailed analysis. For example, if a report shows a sudden increase in sales in one region, Copilot can generate a comment like, “Sales in the North region increased by 15% last quarter, mainly due to increased orders from B2B customers.” 3. Visualization Recommendations Copilot helps users choose the best method for visualizing data by analyzing the structure of the report and the nature of the data. If a user is unsure about how to best present the data, Copilot can suggest different types of charts and tables. For example, if the data is about sales trends, Copilot might suggest a line chart or column chart, while for demographic data, it might suggest a heat map or pie chart. 4. Trend and Anomaly Detection Copilot uses AI algorithms to detect unusual patterns and deviations in data. This allows users to automatically identify areas that require attention, such as sudden drops in revenue, increases in operating costs, or irregularities in sales results. Copilot not only highlights these anomalies, but also suggests possible causes and actions that can be taken to explain or mitigate them. 5. Automatic Correlation Analysis Between Data Sets With AI, Copilot can analyze the relationships between different variables in a data set and pinpoint correlations that could impact business outcomes. For example, Copilot can show that an increase in visits to a company’s website directly translates into more orders over a given period. This allows companies to adjust their marketing and sales strategies based on real data. 6. Predictive Analytics Support While Copilot is not a complete replacement for advanced machine learning solutions, it does offer some predictive analytics capabilities. For example, Copilot can use historical sales data to predict future purchasing trends and identify potential risks related to demand fluctuations. Finance departments can use this feature for budget planning and inventory management. 7. Integration with Microsoft Fabric and Other Services Copilot is fully integrated with the Microsoft Fabric ecosystem, meaning it can leverage data from multiple sources, such as Azure Data Lake, OneLake, and Microsoft Dataverse. This gives users a more complete picture of the organization and allows them to create reports that include data from multiple systems. 8. Team Collaboration and Interactive Analytics Sessions Copilot supports teamwork by enabling collaborative editing of reports and sharing of analyses in real time. Users can ask questions in an interactive analysis session and dynamically adjust reports to the needs of the team. This makes working on reports more efficient and decision-making faster. 9. Personalized Results and User Preferences Copilot learns from user interactions, meaning it becomes more precise in its suggestions and analysis over time. Users can customize how reports are generated, specifying preferences for formatting, level of analysis detail, and how data is presented. 10. Advanced Query Handling and Data Filtering Copilot lets you ask more sophisticated questions, including advanced filtering conditions. For example, a user can ask, “Show me sales only to customers in the U.S. technology sector who placed an order in the last 6 months and whose order value exceeded $10,000.” Copilot will instantly generate a report that includes only the relevant data. These features make Copilot in Power BI an invaluable tool for companies that want to get the most out of their data and make informed decisions based on solid analytics. Its versatility makes it useful for both data scientists and business managers who need quick access to key information. Microsoft Copilot in Power BI offers a wide range of functionalities that make working with data easier: • Reporting – Users can type queries in natural language, and Copilot generates visualizations and recommendations. • Automatic narrative generation – Copilot analyzes data and presents key findings in a narrative format. • Identifying trends and anomalies – AI scans data and detects unusual patterns. • Visualization suggestions – Suggests the best ways to present data. • Interactive dataset queries – Users can ask questions without having to write DAX code. What are the Limitations of Copilot in the Basic Version? The preview version of Copilot in Power BI has several limitations: Supports only English. Can generate reports only for specific data types. Requires activation by an administrator. Available only in selected regions. Does not support all complex data models. Example Prompts for Copilot in Power BI Users can ask Copilot questions such as: “Create a sales report for the last three months by region.” “Show me a revenue trend chart for this year.” “What were the biggest changes in financial results last quarter?” “Find anomalies in last month’s sales data.” How Much Does Copilot in Power BI Cost? Copilot in Power BI is included in Power BI Premium and Power BI Pro licenses. Currently, it is available in a preview version, and pricing details may change as new features are introduced. Microsoft may introduce additional licensing options in the future for more advanced users. Examples of AI and Copilot applications in business Power BI and Copilot in Marketing Copilot in Power BI enables marketing companies to analyze the performance of advertising campaigns in real time. This allows them to identify which channels are performing best, which customer segments are converting the most, and where marketing budgets are being used the least efficiently. For example, an e-commerce company can use Copilot to track advertising performance across platforms, automatically generating comparative reports that help optimize budgets. Power BI and Copilot in Finances Finance departments can use Copilot to create budget forecasts and analyze cash flows. The tool can automatically detect anomalies in financial data, such as unexpected increases in expenses or irregular cash inflows. In the banking sector, Copilot can support the analysis of credit indicators and generate reports on the financial stability of customers, which speeds up the credit decision-making process. Power BI and Copilot in Sales Sales teams can use Copilot to monitor sales performance and optimize sales strategies. The system allows for quick reporting on top and bottom-selling products, customer purchasing trends, and sales seasonality. This allows sales managers to make more informed decisions about pricing and inventory planning. Power BI Solutions from TTMS At Transition Technologies MS (TTMS), we specialize in delivering comprehensive analytics solutions based on Power BI. Our services include designing, implementing, and optimizing reports and dashboards tailored to your organization’s needs. By working with our experts, you can fully leverage AI-powered tools like Microsoft Copilot to enhance business efficiency and make data-driven decisions faster. Find out more at https://ttms.com/power-bi/ Can Copilot in Power BI be used for real-time data analysis? Yes, Copilot can process and analyze near real-time data, provided the dataset is connected to a live data source. However, response times may depend on the complexity of queries and the refresh rate of the data source. Is Copilot in Power BI available on mobile devices? Copilot functionalities are primarily designed for the desktop and web versions of Power BI. While you can view and interact with reports on mobile devices, full Copilot capabilities may not yet be fully supported. Can Copilot generate DAX formulas automatically? Yes, Copilot can assist in generating DAX formulas based on natural language queries. It helps users create complex calculations without deep knowledge of DAX, improving efficiency in report development. How does Copilot ensure data security when processing reports? Copilot adheres to Microsoft’s enterprise security standards, ensuring that all processed data remains within the organization’s security framework. It does not store or share sensitive data outside of the Power BI environment. Can Copilot be customized to specific business needs? While Copilot operates on general AI principles, it adapts to user interactions over time, improving recommendations. Future updates may include more customization options to align with specific business processes and reporting standards. What is Microsoft Fabric? Microsoft Fabric is a comprehensive cloud-based analytics platform designed to integrate, process, and analyze data within a unified environment. It combines various Microsoft data services, such as Azure Data Factory, Power BI, Synapse Analytics, and Data Lake, providing businesses with a flexible and scalable data management solution. Key Features of Microsoft Fabric: Lakehouse Architecture – Enables storing and analyzing large datasets in a Data Lake without the need for data movement. Power BI Integration – Simplifies the creation of interactive reports and analytics based on data stored in Fabric. Built-in AI Capabilities – Supports predictive analytics, automated data processing, and anomaly detection. OneLake – A central data repository that eliminates duplication and provides unified data access. Support for ETL and ELT – Facilitates efficient data processing and transformation for advanced analytics. Security and Compliance – Advanced data protection mechanisms compliant with corporate standards and legal regulations. With Microsoft Fabric, businesses can collect, process, analyze, and visualize data within a single ecosystem, enabling data-driven decision-making and accelerating digital transformation.
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A flexible Time & Material model designed for complex IT projects in large companies
Time & Material (T&M) is a model of cooperation in which billing is based on the actual time worked by specialists and the resources used. Unlike the rigid Fixed Price model, where the scope and cost are defined upfront, T&M ensures flexibility – the scope of work can evolve during the project, and the client pays for the actual tasks performed. This model is gaining popularity among companies undergoing digital transformation, who need quick access to competencies and the ability to adapt to changes. Below, we explain why T&M is the preferred model for digital transformation leaders, in which situations it works best, and provide examples (including the cooperation between TTMS Software Sdn Bhd and ADA). Finally, we invite you to talk about how T&M can support your project. 1. What is the Time & Material model in IT? The Time & Material model means that the client pays for the hours worked and the tools used to complete the IT project. There is no fixed total cost or fully frozen scope – the project is carried out iteratively, and details can be refined during the work. This model is fully compatible with Agile methodologies and the iterative approach to software development. The project team logs work hours, reports progress, and settlements are made periodically (e.g., monthly or per stage). The client gains full transparency – they know exactly what they are paying for and can continuously adjust the direction of the work. In practice, the T&M contract sets the rates (e.g., hourly or daily) for specific roles in the project (developer, tester, analyst, etc.) and general rules of cooperation. But it leaves space for scope changes. If new requirements or changes arise during the project, there is no need to renegotiate the contract – the team simply continues the work, and the client pays for the additional time based on the agreed rates. This significantly shortens the project launch time and reduces the risk of underestimating or omitting important elements. In T&M, both the IT provider and the client act as partners sharing responsibility for the project’s success. 2. Flexibility above all – why leaders choose T&M Today’s business environment is extremely dynamic. Companies that are leaders in digital transformation know that changes are the norm in ambitious IT projects – new ideas appear, user expectations change, and technology constantly evolves. Traditional settlement models (e.g., fixed-price projects) often turn out to be too inflexible in such conditions. That’s why leading organizations increasingly choose Time & Material to ensure the ability to respond quickly and keep up with innovation. The T&M model offers a number of benefits for large enterprises and digital transformation programs: Quick project start and delivery in stages: No need to wait for a perfectly refined scope – work can start fast, and solutions are delivered in short iterations. This allows early business value realization and continuous verification. Flexibility in implementing changes: When new challenges arise or new ideas appear, the team can immediately adjust the scope of work. There is no need to amend the contract for each change – the plan evolves within the agreed framework. Cost transparency: At every stage, it is clear how much time has been worked and what the budget is spent on. The client receives regular reports, knows exactly what they are paying for, and can control the budget throughout the project. Full control and involvement on the client side: The client is actively involved in the project – can prioritize tasks, decide on the order of implementation, and quickly change direction if necessary. Access to needed competencies exactly when they are needed: In the T&M model, the team can be scaled flexibly – increased in size or supplemented with new experts when the project enters a new phase. Higher quality through continuous improvements: As the project is run iteratively, the final product can be of better quality – continuous testing, feedback, and improvements increase value step by step. It is worth noting that the T&M model eliminates the need to pay for “extra” assumptions. In a fixed-price model, providers often add a risk buffer – so the client pays in advance, even for unforeseen difficulties. In T&M, you pay only for the actual work. If some tasks turn out to be unnecessary or simplified, the budget can be shifted to other priorities. 3. When does the T&M model work best? The Time & Material model is not a cure-all – there are situations where it works perfectly and others where a fixed-price model might be better. Below are typical scenarios where T&M works best: Long-term, complex projects – if the initiative is extended over time and consists of many phases, it is obvious that it’s hard to predict all requirements at the start. T&M allows scope adjustment according to current needs. Unclear requirements at the start – when the client has a general vision but not a detailed list of functionalities. This often occurs in innovative projects. T&M allows starting with MVP and then iterative development. Dynamic business or technology environment – in industries like fintech, e-commerce, or telecom, change is constant. If user needs evolve quickly, regulations change, or there’s competitive pressure, fixed contracts can slow you down. T&M allows flexibility and speed. Budget control during the project – paradoxically, although T&M doesn’t specify the final amount upfront, it allows strict budget control. You can monitor ROI and decide on funding further stages based on previous outcomes. Outsourcing and need for specific know-how – if you’re using IT outsourcing or staff augmentation, T&M is a natural choice. You can get the expert you need without long hiring processes. Of course, the T&M model requires trust and maturity on both sides – the client must be ready to collaborate and supervise, and the provider must ensure transparency. Experienced partners like TTMS introduce control mechanisms (hour tracking, budget checkpoints, milestones) to protect the project. 4. Example: TTMS and ADA – partnership in T&M model A real example of T&M flexibility is the recent cooperation between TTMS Software Sdn Bhd (TTMS branch in Malaysia) and ADA, a leading digital transformation company in Southeast Asia. ADA specializes in data analytics, AI, and digital marketing, serves over 1,500 clients in 12 markets, and is backed by investors like SoftBank and Axiata Group. The partnership began in the Time & Material model, with TTMS providing a Salesforce Administrator for three months. This form enabled ADA to use TTMS experience exactly when needed and created a foundation for further cooperation. Read more in the press release: TTMS Software Sdn Bhd starts cooperation with ADA 5. Other examples of T&M at TTMS At TTMS, we have been delivering projects in the Time & Material or similar flexible models for years. Most of our case studies are stories of long-term cooperation, iterative system improvement, and partnership approach – that’s what T&M enables. For example: In the energy sector, we created a scalable application that integrated many systems. In the pharmaceutical sector, we supported an international company in building a CRM system with a growing scope. For Schneider Electric, we are a long-term outsourcing partner – we provide specialists in the T&M model. 6. T&M in Asia – a growing trend We observe growing interest in flexible contracts in Asia. Companies in this region, known for dynamic growth, often point to the T&M model as key to successful transformation. For example: A telecom operator in Southeast Asia chose T&M for a new digital platform, which allowed them to adapt the roadmap in real time. In e-commerce, a platform was iteratively adapted to user needs through a T&M-based cooperation with an external team. These examples show that flexibility = effectiveness. 7. Choose the right model Time & Material is a proven way to run an IT project when speed, adaptability, and access to talent matter. Leaders choose it because it lets them focus on business goals instead of renegotiating contracts. Properly applied, T&M gives: Freedom of action Transparent costs Quality and results If your company is planning a new system or wants to improve an existing one and needs a flexible and experienced IT partner, T&M may be the right choice. TTMS has been supporting clients in this model for years – providing top experts and teams, building long-term relationships based on trust and shared goals. Let’s talk – we’ll tailor the cooperation model to your project. Contact us. What is the difference between Time & Material and Staff Augmentation? While both offer flexibility, Time & Material refers to billing for work completed over time, often in a project context. Staff Augmentation focuses on providing personnel to extend internal teams. T&M may include team delivery, project milestones, and shared goals—beyond just supplying resources. Is the Time & Material model more expensive than Fixed Price? Not necessarily. Although T&M lacks a fixed upfront budget, it often avoids overpayment by billing only for actual work done. Fixed Price contracts may include large risk buffers, while T&M enables better cost control if well-managed. How do you control scope and costs in a Time & Material project? T&M requires strong project governance—typically involving time tracking, regular reporting, sprint reviews, and clear communication. Clients remain actively involved, adjusting priorities and validating outcomes in real time. Is Time & Material suitable for regulated industries like pharma or finance? Yes. When combined with proper documentation, validation, and quality controls, T&M can meet industry compliance needs. It’s especially useful in complex environments where detailed requirements evolve during the project lifecycle. Can we start with Time & Material and switch to Fixed Price later? Absolutely. Many companies begin with T&M for discovery, MVPs, or early development. Once scope stabilizes, transitioning to a Fixed Price or hybrid model is common—ensuring flexibility early on and predictability later.
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Challenges and Entry Barriers for IT Companies in the Defense Sector – The Case of TTMS
The defense sector is becoming an increasingly important recipient of modern IT solutions. Growing defense budgets open up new business opportunities for technology companies. According to the International Institute for Strategic Studies, defense spending in Europe rose by 11.7% in 2024, reaching USD 457 billion. Despite this market’s potential, IT companies face exceptionally high formal, technological, and organizational barriers when attempting to enter the defense industry. Transition Technologies Managed Services (TTMS), a Polish software house, is a compelling example of a company that is successfully overcoming these hurdles. In recent years, TTMS has significantly expanded its defense-related operations. The company has doubled its defense contract portfolio while systematically enhancing its offer for military and governmental institutions. Sebastian Sokołowski, CEO TTMS As TTMS CEO Sebastian Sokołowski stated in a recent interview for ISBtech.pl: “We are currently focusing strongly on developing our operations in the defense sector, which has allowed us to double our order portfolio in this area. The growing demand creates many opportunities, but being a preferred partner in this market is a major challenge for many IT firms due to high entry barriers and the need for niche competencies.” Below, we explore the main challenges of entering the defense industry and how TTMS is addressing them to establish itself as a trusted supplier. Formal and Regulatory Barriers One of the biggest challenges for IT firms entering the defense industry is the number of formal requirements they must meet. In Poland, any activity related to the manufacturing or trading of military-grade technologies or products requires a government license. TTMS holds such a license since 2019. In 2024, the company renewed its permit to handle dual-use technologies for a maximum period of 50 years. This enables the company to legally participate in tenders and contracts involving advanced military technologies. Additionally, companies must have security clearances to handle classified information, a typical requirement in defense projects. This means that both the company and its staff must obtain industrial and personal security clearances at various levels. TTMS employees are certified to work on classified materials at NATO/ESA/EU Secret levels, meeting strict standards for confidentiality and secure information handling. Only a handful of Polish IT companies have this level of access and experience, putting TTMS in a select group of suppliers qualified to support military-grade IT projects. Technological Standards and Security Requirements From a technological standpoint, entering the defense market means complying with extremely high requirements for quality, resilience, and cybersecurity. Defense-related IT systems, especially those used for command, control, communications, and reconnaissance (C4ISR), must be fully operational under harsh physical and digital conditions, including cyberattacks or communication failures. As such, companies must implement encrypted communication, redundancy measures, and comply with security frameworks like ISO 27001 and STANAG (NATO Standardization Agreements). TTMS has developed these competencies through years of experience and has built internal teams capable of working on military-grade systems. The company’s consultants understand the logic and workflows of defense systems at the tactical, operational, and strategic levels, allowing them to work on both pure software projects and integrations with military equipment and battlefield sensors. TTMS also applies methodologies and standards from the space industry — such as Product and Quality Assurance for the European Space Agency (ESA) — to ensure that each system meets the highest quality and safety benchmarks. This rigorous approach is equally applicable in defense contracts, where system failure can lead to mission failure. TTMS regularly participates in technology trials and validation efforts, including within NATO’s ACT Innovation Hub, where new tools and frameworks are tested under controlled conditions before being rolled out into production environments. Procurement Cycles and Organizational Challenges Even with the right certifications and technical expertise, IT companies face another critical hurdle — the length and complexity of public sector procurement cycles. Defense contracts are typically subject to multi-stage public tenders, technical consultations, and rigorous vetting procedures, which can take months or even years to complete. Moreover, tenders often require evidence of prior experience, financial stability, and the ability to provide long-term support. Companies may also need to commit to deploying personnel on-site, maintaining hardware and software for years, and complying with strict documentation and reporting protocols. For many IT vendors, the resources required to simply submit a compliant offer are a barrier in themselves. To mitigate these challenges, TTMS has adopted a partnership-driven strategy, participating in consortiums that combine different capabilities across organizations. Large defense contracts are rarely executed by a single vendor — instead, they are typically delivered by groups that include system integrators, hardware providers, software developers, and training companies. TTMS has participated in many such tenders — either independently or as part of a consortium — and has successfully won contracts or advanced to final stages in many defense procurement processes. Another key characteristic of this market is the long lifecycle of contracts. Once a solution is implemented, the provider is often responsible for its maintenance and evolution for several years. As CEO Sokołowski notes, “Defense contracts are by definition long-term engagements — specialists are often involved for years, and system rollouts are accompanied by ongoing support and maintenance.” This long-term horizon presents both an opportunity and a responsibility, as the company becomes a long-term strategic partner for military clients. How TTMS Prepares for Defense Sector Demands To succeed in such a highly specialized field, TTMS has made strategic investments in certifications, personnel, and organizational capabilities tailored to the needs of the defense sector. Since 2017, the company has consciously developed its Defense & Space business line, combining its roots in industrial software with the unique demands of national security applications. TTMS management board This includes establishing a dedicated Defense & Space division, hiring staff with security clearances, and creating secure environments for working with classified data. TTMS has also created internal teams for cybersecurity, geospatial systems, AI-based decision support tools, and interoperability between national and NATO command systems. A key part of the company’s strategy is to build strong reference cases through successful implementations. Before winning its own defense contracts, TTMS served as a subcontractor in consortia — gaining valuable know-how and building a project portfolio that later opened doors to larger tenders. Today, TTMS has successfully delivered more than ten defense-related projects and is involved in many others that are ongoing or in advanced stages of procurement. Notable Projects: NATO, ESA, and Beyond Among TTMS’s most prominent achievements is its involvement in projects for NATO’s Allied Command Transformation (ACT) and the NATO Standardization Office (NSO). For instance, the company was awarded a €0.9 million contract to build a new terminology management system for NATO. This platform allows the alliance to manage, distribute, and maintain unified military terminology and acronyms — critical for ensuring consistency across multinational forces. TTMS is responsible for delivering the entire system as part of a consortium, demonstrating its ability to deliver high-impact, multinational solutions. The company also participates in cyber intelligence and decision-support systems for NATO, including tools that process Open Source Intelligence (OSINT) using artificial intelligence to help commanders make better-informed strategic decisions. Other initiatives include communication interfaces that link the Polish Armed Forces with NATO systems, ensuring interoperability across command structures. TTMS’s expertise in the space sector further strengthens its capabilities. The company supports projects for ESA and the EU Space Program Agency, delivering services related to quality assurance and software safety. These space projects demand the highest standards of reliability and resilience — traits that are equally vital in military contexts. Earning Trust in the Defense Sector Ultimately, trust is the most valuable currency in the defense industry. Institutions are cautious and deliberate when selecting long-term partners. TTMS has worked for years to build a reputation for security, professionalism, and delivery excellence. Its certifications, long-term client relationships, and secure project environments help position it as a reliable supplier. TTMS’s credibility is further enhanced by its corporate governance and financial transparency. As a member of the Transition Technologies Group and a company preparing for an IPO, TTMS is subject to the oversight and reporting obligations that come with listing — reassuring public sector clients of its financial and operational maturity. The company also has a growing presence in international markets (Europe, Asia, Latin America), and its selection by major institutions such as NATO and ESA confirms its global competitiveness. TTMS’s leadership emphasizes that cutting-edge technologies such as artificial intelligence and cybersecurity will play a growing role in defense systems, and the company is committed to building long-term relationships with key institutions in these areas. Conclusion The defense sector is one of the most demanding — and most rewarding — markets for IT providers. Entry requires formal licenses, security clearances, technological specialization, and procedural fluency in public procurement. TTMS exemplifies how a company can build up these capabilities strategically, invest in the right people and certifications, and gradually earn the trust of major defense stakeholders. In doing so, it not only opens new revenue streams but also contributes to national and international security by delivering innovative, mission-critical digital systems. Why is it so difficult for IT companies to enter the defense sector? The defense sector imposes strict formal requirements (licenses, security clearances), advanced technological standards (system resilience, NATO norms), and complex procurement procedures. Trust and long-term references are also essential to succeed. What is a NATO/ESA/EU SECRET security clearance? It is an official authorization that allows a company and its personnel to access and handle classified information at the “SECRET” level in international projects for organizations like NATO, the European Space Agency (ESA), or the EU. It reflects high levels of security compliance and confidentiality. What does C4ISR stand for? C4ISR means Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance. It refers to integrated systems that help military forces make decisions, communicate, analyze intelligence, and monitor the battlefield. It is the digital backbone of modern defense operations. What technologies does TTMS offer for the defense sector? TTMS provides: decision-support systems for military command, NATO-compliant software solutions, AI-powered data analytics tools, interoperability tools between national forces and NATO systems, support for space and satellite-based defense initiatives. How is a military procurement process different from a civilian one? Military tenders are more complex and formalized. They often require special licenses, security clearances, inter-ministerial approvals, and guarantees for long-term system maintenance. The process typically takes longer and includes stricter evaluation criteria.
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Operator by OpenAI – A New Era of Business Automation
Can AI Work as Your Assistant? OpenAI has introduced Operator – an intelligent AI agent that performs tasks just like a human. It can purchase products, file expense reports, book restaurant reservations, and even manage online tasks by interacting with user interfaces. For businesses, this marks a breakthrough in process automation, offering time and cost savings. How Does Operator Work? Operator can scroll, click, fill out forms, and navigate web systems – exactly as a human would. This enables it to handle processes that traditionally required manual labor. It goes beyond classic chatbots and RPA (Robotic Process Automation) systems because: ✅ It operates like a human – no API integration needed, interacts directly with interfaces. ✅ It automates complex tasks – such as gathering information, comparing offers, and sending emails. ✅ It learns and adapts – analyzing user patterns and adjusting to evolving processes. How Can Operator Support Businesses? Customer Service and Sales Processes Automated meeting scheduling and calendar coordination. Real-time responses to customer inquiries. Personalized offers based on data analysis. Administrative and Operational Automation Form completion and expense report filing. Order processing and delivery tracking. Report generation and data analysis. Finance and HR Management Preparing HR documents and processing employee requests. Invoice verification and payment monitoring. Expense tracking and financial forecasting. OpenAI Operator in Action – Who’s Already Using It? Several prominent companies have integrated OpenAI’s Operator into their operations, demonstrating its versatility across various industries. Instacart: By collaborating with OpenAI, Instacart has enabled customers to utilize Operator for tasks such as ordering groceries. This integration allows users to delegate manual interactions to AI, streamlining the shopping experience. Uber: Uber’s partnership with OpenAI allows customers to use Operator for booking rides. This integration simplifies the ride-hailing process, enabling users to schedule pickups without manual input. eBay: eBay has leveraged Operator to enhance the online shopping experience. Users can instruct Operator to search for products, compare prices, and complete purchases, making e-commerce more efficient. DoorDash: DoorDash’s collaboration with OpenAI enables customers to use Operator for ordering food deliveries. This integration allows users to place orders seamlessly, enhancing the convenience of food delivery services. Stripe: Stripe has tested Operator as a tool to support internal process automation. By interacting with user interfaces, Stripe has optimized financial workflows and data management without requiring complex API integrations. Box: Box has explored the use of Operator to automate customer support processes. Operator’s ability to navigate web interfaces allows it to handle routine inquiries, freeing up human agents for more complex tasks. These real-world applications demonstrate that Operator can be utilized across various industries—from e-commerce and logistics to financial services and SaaS. Its capability to operate user interfaces as a human does make it easier to deploy without costly IT infrastructure changes. How Is Operator Different from Traditional Chatbots and RPA? Artificial intelligence has been transforming business automation for years, with chatbots and Robotic Process Automation (RPA) leading the way in improving efficiency. However, OpenAI’s Operator introduces a new paradigm that combines the best of both worlds while overcoming their imitations. But before we compare these technologies, let’s clarify what chatbots and RPA actually do and why they are relevant in this discussion. What Are Chatbots? Chatbots are AI-powered tools designed to simulate human conversations through text or voice interfaces. They are commonly used in customer support, sales, and virtual assistance. Many chatbots operate on predefined scripts or machine learning models that allow them to respond to inquiries, but they lack the ability to execute complex actions beyond conversations. What Is RPA? Robotic Process Automation (RPA) is a technology that automates repetitive, rule-based tasks across software applications. RPA bots can fill out forms, extract data from emails, process invoices, and transfer data between systems. Unlike chatbots, RPA operates behind the scenes, automating structured workflows but often requiring predefined rules and lacking the flexibility to adapt to unexpected changes. Why Compare Operator to Chatbots and RPA? OpenAI’s Operator is not just another chatbot or RPA tool—it is an intelligent AI agent that interacts with software just like a human would. While chatbots engage in conversations and RPA automates structured workflows, Operator bridges the gap by handling both communication and complex process execution through direct interaction with user interfaces. Now, let’s take a closer look at how these technologies compare: Feature Chatbots RPA Operator User interface interaction ❌ No ✅ Yes, but limited to certain systems ✅ Yes, dynamically Adaptation to new processes ❌ Limited ❌ Requires programming ✅ Self-learning Handling complex tasks ❌ Limited ✅ Yes, but rule-based ✅ Yes, flexibly Integration with various systems ✅ Yes, requires API ✅ Yes, requires scripting ✅ No API needed, operates like a human Operator by OpenAI – How Can AI Transform Your Business? 🚀 Operator by OpenAI is a game-changing technology that takes automation to the next level. With its ability to interact with user interfaces like a human, Operator eliminates manual processes and boosts operational efficiency. At TTMS, we harness the power of AI to transform businesses, combining OpenAI tools with our expertise in process automation, data analytics, and intelligent solutions. Is your company ready for the future of automation? Discover how we can help integrate AI into your organization. 📩 Contact us and explore AI-driven solutions for your business!
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International Defense Cooperation: How to Build Interoperability in Times of Crisis
In an era of dynamic technological changes and growing threats in the international arena, effective defense of the state requires not only modern technological solutions, but also intensive cooperation between states. Integration of defense systems of cooperating countries – especially C4ISR platforms – and cooperation of experts enable the creation of coherent and effective solutions that increase interoperability and operational readiness of allies. 1. The Role of International Cooperation in Modern Defense Systems International cooperation has become an essential element in building modern defense systems. Countries, striving to achieve technological superiority, increasingly share knowledge, experience, and best practices. Joint research projects and technological initiatives enable the creation of solutions that are not only innovative but also compatible with each other, which is crucial for effective management of the situation on the battlefield. 2. C4ISR Systems Integration as the Foundation for Interoperability C4ISR systems (Command, Control, Communication, Computing, Intelligence, Reconnaissance) are the core of modern defense solutions. Integration of these systems enables rapid exchange of information and coordination of actions at the international level. Integration of data from various sources – radars, satellites, communication systems – creates a single, coherent platform that increases the ability to respond to dynamic threats. Cooperation based on uniform standards is supported by initiatives such as the NATO 2030: Strategic Foresight and Innovation Agenda document, which emphasizes the need to create common technological platforms. 3. Examples of International Cooperation in Defense Projects International defense exercises are one of the most important tools for testing interoperability of systems and cooperation between states. It is worth looking at several key initiatives: 3.1 Trident Juncture Trident Juncture is one of the largest and most complex NATO exercises, held every few years. The exercise simulates hybrid scenarios, where the enemy uses both traditional military threats, as well as cyberattacks and disinformation activities. It involves thousands of soldiers, hundreds of vehicles and advanced systems, including drones and C4ISR platforms. Trident Juncture tests the interoperability of allied forces, allowing for the identification of gaps in command systems and the improvement of operational procedures. This exercise, often held in extreme conditions, tests the endurance and adaptability of participants. 3.2 Cold Response Cold Response is an exercise organized in Norway, focused on operations in extreme winter conditions. It requires participating NATO countries to cope with low temperatures, strong winds and limited visibility. Thanks to this exercise, countries improve their operational capabilities in regions with specific climatic conditions, which is crucial for protecting the northern borders. 3.3 Defender Europe Defender Europe is a series of exercises designed to demonstrate the speed and flexibility of deploying forces across Europe. It brings together U.S. and European forces to jointly simulate mobility, logistics, and operational integration in crisis situations. The exercise underscores U.S. commitment to European security and tests common command procedures, which contributes to a faster and more effective response to threats. 3.4 Joint Warrior Joint Warrior is an annual, multinational exercise organized by the United Kingdom, which brings together land, air and naval units from different countries. The exercise focuses on testing interoperability and cooperation between defense systems in realistic operational scenarios. Joint Warrior allows participants to exchange experiences and improve procedures, which translates into better preparation for multi-dimensional military operations. 3.5 Cyber Coalition Cyber Coalition is an initiative focused on testing the cyber defense capabilities of NATO member states. During the exercise, cyber attacks on key information systems are simulated, which allows for the development of a strategy for rapid detection and neutralization of threats. Cyber Coalition emphasizes international cooperation in the field of data security and maintaining operational continuity in the cyber environment. 3.6 Steadfast Defender This exercise focuses on integrated air and missile defense. Steadfast Defender tests radar systems, C4ISR platforms, and operational procedures that enable rapid detection and neutralization of air threats. The exercise simulates intense attack scenarios where interoperability and rapid response capabilities are key to effective allied defense. 3.7 Swift Response This exercise highlights the importance of responding quickly to unexpected threats. Swift Response focuses on mobility, logistics, and operational coordination, enabling the rapid deployment of forces and resources in response to a crisis. This allows allies to test their procedures for rapid response and effective implementation of joint operations in Europe. 3.8 Steadfast Noon This is an initiative that focuses on improving command and control systems in an intense, multi-domain threat environment. Steadfast Noon tests the ability to integrate data from different sources – radars, satellites, sensors – and rapidly coordinate operational activities. This exercise simulates situations in which allies must make decisions in real time, combining traditional command methods with modern information technologies. 4. Cooperation – A Common Path to a Safe Tomorrow International cooperation brings numerous benefits – standardisation of technology, faster knowledge transfer and joint sharing of research and development costs, which enables countries to quickly implement modern solutions and effectively respond to global threats. At the same time, differences in technical standards, language barriers and political barriers pose challenges that can hinder the full integration of defence systems. However, international cooperation based on the integration of C4ISR systems, joint research projects and exchange of experiences builds the foundations for coherent and effective defence solutions. Exercises such as Trident Juncture, Cold Response, Defender Europe, Joint Warrior and Cyber Coalition are examples of initiatives that enable testing of interoperability, identifying gaps in command systems and improving operational procedures, and thus increase the ability of allies to quickly respond to dynamic threats. In order to maintain technological and operational advantage, further intensification of research, adaptation of common standards and implementation of flexible regulatory frameworks are necessary – global synergy in this area is key to building a secure tomorrow. 5. TTMS – Trusted Partner for NATO and Defence Sector Solutions Transition Technologies MS (TTMS) actively supports NATO’s strategic objectives through close collaboration, such as the NATO Terminology Standardization Project, enhancing interoperability and streamlining international communication in defense contexts. Our dedicated services for the defense sector include developing and implementing advanced C4ISR solutions, cybersecurity systems, and specialized IT outsourcing tailored to meet stringent military requirements. TTMS combines extensive technological expertise with deep industry knowledge, enabling allied forces to achieve seamless integration of mission-critical platforms and effectively respond to emerging threats. If you are interested in learning more about our services or discussing how we can support your organization’s defense initiatives, contact us today. What does the document "NATO 2030: Strategic Foresight and Innovation Agenda" contain? This document defines NATO’s strategic priorities and vision for the future, emphasizing the development and integration of modern technologies, including C4ISR systems, cybersecurity, and common operational standards. It emphasizes the need for international cooperation and standardization, which allows for the rapid exchange of information and a coherent response to threats. What are the main benefits of international defense cooperation? International cooperation enables sharing R&D costs, transferring technology, exchanging best practices, and creating common operational standards. This allows allied nations to implement modern solutions faster, improve interoperability, and respond to global threats in a coordinated and effective manner. What are C4ISR systems and what is their role in international defense cooperation? C4ISR is an acronym for Command, Control, Communication, Computing, Intelligence, and Reconnaissance. The integration of these systems allows for the rapid collection, processing, and sharing of key operational data between countries, which is essential for effective coordination of defense operations and a joint response to threats. How do international exercises such as Trident Juncture contribute to effective defence cooperation? Exercises such as Trident Juncture simulate realistic crisis scenarios, testing the interoperability of member states’ armed forces. They allow for the identification of gaps in command and communication systems, the improvement of operational procedures and the exchange of experiences. Thanks to such exercises, allies can jointly develop strategies for rapid response and effective coordination of actions, which is crucial for common security. What challenges face international defence cooperation? This cooperation faces challenges such as differences in technological standards, language barriers, organizational barriers, and political barriers. Additionally, integrating legacy systems with modern technologies requires continuous improvement of procedures and an adaptive regulatory framework. Despite these difficulties, the long-term benefits resulting from global synergy and operational standardization far outweigh the challenges.
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