Technologies

What do AI Agents really mean for the travel business in practice? From costs and ROI to privacy and implementation, human roles, and what lies ahead, here are the crucial questions leaders are asking today.

IoT can bring real value, but success doesn’t come from connecting devices alone. It comes from asking the right questions early, making smart technical choices, and building with purpose. This guide walks you through the key steps to make that happen.

Over the last few months, there’s been a shift in how the travel sector employs AI. It’s no longer just about chatbots answering FAQs or apps recommending destinations. Behind the scenes, travel companies are starting to deploy AI agents — digital assistants that don’t just talk, but think, decide, and act.

IT architects increasingly treat AI as a practical tool. LLMs like DeepSeek, Claude, and Gemma handle routine tasks, support decision-making, and assist in system design. Here’s what you can delegate, and how to maintain control over the results.

Treasury teams don’t lack data. They lack the ability to act on it quickly and confidently. That’s where today’s AI Assistants make a real difference — changing how treasury pros interact with data and make decisions. Let's see how AI Assistants go beyond dashboards and static reports to become reliable decision-making partners.

Behind every seamless travel experience is a quiet enabler: system integration. As the industry pushes toward hyper-personalization, real-time responsiveness, and scalable digital operations, it's the integration of fragmented systems that makes true innovation possible. Let's break down why system integration and data migration remain Travel’s biggest challenges, and how to solve them.

WaveAccess develops custom devices with Embedded AI for Healthcare and other industries. One recent example is a portable diagnostic tool for medical video analysis — designed to deliver fast, intelligent insights wherever care is provided.

AI only delivers value when built on a strong foundation. Most treasury teams aren’t held back by AI itself — but by fragmented data, disconnected systems, outdated processes, and lack of visibility. Explore a practical approach to getting your organization AI-ready.

Let’s explore real-world examples of how AI is making a measurable impact in treasury for cash flow forecasting, AR automation and reporting. You’ll see under what conditions AI works best and when standard automation methods might be the better choice.

While cloud adoption remains the default for many businesses, some workloads perform better on-premise. In this case study, we explore how a tech company strategically transitioned back from the cloud, overcoming migration complexities to regain control, reduce latency, and optimize support through a custom solution.

AI adoption in treasury operations is one of the most talked-about topics in corporate finance today — and for good reason. As treasury teams look to strengthen efficiency, resilience, and decision-making, many are asking: Is AI the right fit for us?

The emergence of Artificial Intelligence of Things (AIoT) is setting the pace for the advancements in real-time data analysis and automation. While we’ve already seen the impact of the Industrial Internet of Things (IIoT) in transforming smart manufacturing, the next chapter brings a new level of intelligence.

The right IoT implementation model can do more than just connect devices — it can improve efficiency, generate new revenue streams, and drive smarter decision-making. Whether you're starting small or scaling up, choosing the right approach is key. Explore the most common models to see which is the best fit for your needs.