The Hidden Power of AI

Artificial Intelligence is often associated with applications like self-driving cars, voice assistants, or advanced robotics, but its transformative power extends far beyond these headlines. In many industries that might seem unlikely candidates for AI disruption, intelligent technologies are quietly revolutionizing traditional workflows, enabling scalability, personalization, and real-time decision-making in ways previously unimaginable.  

An example is Hinge Health, a company that is reshaping the landscape of musculoskeletal care through AI-driven digital physical therapy. Chronic pain and injury recovery, traditionally managed through in-person sessions with therapists, are now being personalized at scale by AI systems that analyze patients’ movement via wearable sensors, tailor exercises dynamically based on real-time feedback, and use behavioral analytics to predict when users might disengage, allowing proactive intervention. This level of personalization and accessibility would be impossible without the application of machine learning and data-driven insights, effectively democratizing healthcare while reducing costs and improving outcomes.  

Databricks is helping drive AI innovation by building powerful data tools used across many industries. It offers a single platform—called a lakehouse—that combines data engineering, analytics, and machine learning in one place. This makes it easier for companies to build and use AI at a large scale. Databricks also has smart Machine Learning Operations (MLOps) tools that automate the full process of machine learning, from training models to putting them into action. With easy-to-use features like AutoML, even people without deep technical skills can create AI models. Thanks to real-time data analysis, companies can use Databricks to stop fraud quickly, improve their supply chains, and give customers more personalized experiences. This shows how powerful AI can be when it's built on strong, flexible data systems. 

On the infrastructure side of streaming data, Confluent leverages the open-source Apache Kafka to enable real-time event streaming at massive scale, a critical enabler for modern AI systems that rely on constant, up-to-the-second data inputs. Confluent’s platform supports the ingestion, transformation, and routing of live data streams, ensuring AI models receive clean, timely information necessary for accurate predictions and actions. Whether it’s detecting anomalies in financial transactions, monitoring system health in manufacturing, or powering personalized recommendations on digital platforms, Confluent’s technology underpins the fast, reliable data pipelines that keep AI-driven applications responsive and effective. 

Even in the creative world of design, AI is making a quiet yet powerful impact. Figma, for instance, uses intelligent features like auto-layouts, content generation, and smart design suggestions to streamline collaboration and reduce manual effort. What once demanded hours of iteration can now be prototyped in minutes, enabling both designers and non-designers to contribute efficiently proving that AI is transforming not just technical fields, but also the most human-centered workflows. 

Artificial intelligence is quickly becoming the backbone of modern innovation. A recent UNCTAD report projects the global AI market will surge from $189 billion in 2023 to $4.8 trillion by 2033—a clear sign of its accelerating impact. Yet, the most meaningful progress isn’t always visible. Companies like Hinge Health, Databricks, Figma, and Confluent show that the real power of AI lies behind the scenes, embedded in the systems that keep industries running. This isn’t about robots taking over. It’s about intelligent infrastructure enabling faster decisions, greater efficiency, and scalable impact. 

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The information in this article should not be regarded as a description of services provided by Delian Partners SA. The opinions expressed in this article are for general informational purposes only and are not intended to provide specific advice or recommendations for any individual or on any specific security or investment product. It is only intended to provide education about the financial industry. The views reflected in this article are subject to change at any time without notice.