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.

The Future of Business Process Outsourcing: RPA

Robotic Process Automation (RPA) refers to an innovative software – commonly known as a “bot”- used to execute repetitive tasks that are typical for white collar jobs, such as data entry, processing, and analysis, across multiple IT systems. Like traditional automation, RPA can help improve efficiency in almost every sector, helping execute tasks faster and at a lower cost.

Today, digital transformation is the number one priority for many organizations, which means RPA is one of the fastest-growing enterprise software applications within this trend. The AI powered technology allows machines to see, hear, and think as humans do, and to effectively solve both repetitive and complex task. Today more than $200B are spent on Business Process Outsourcing worldwide annually, and RPA has the potential to take a significant share of this spend as the market is rapidly shifting from outsourcing work to humans to outsourcing it to software bots.

According to Gartner, currently, UiPath is the leader in the RPA industry with its over 7000 enterprise customers. By combining Artificial intelligence and Machine Learning, UiPath’s RPA software allows organizations to automate processes which are then executed at a fraction of the cost and time previously spent. What makes UiPath unique is the use of software bots which accurately emulate human actions and automate millions of repetitive office tasks, increasing productivity and freeing up millions of working hours of capacity. UiPath is leading the “automation first” era worldwide by allowing business leaders to scale digital business operations at unprecedent speed.

Another big player in the RPA marketplace is WorkFusion, used mainly by banks and other financial players. WorkFusion allows these companies to automate, optimize, and manage repetitive operations via its AI-powered Intelligent Automation Cloud. The AI powered technology allows bots to read and understand complex documents containing unstructured data, and digitize, classify, make decisions, and extract data from them while minimizing fraud and data theft risks. Most importantly, the bots learn from each new document and activities previously executed, thereby continuously increasing, and improving their level of automation.

The RPA market is soaring from its market size of $250million in 2016 to $2.9billion in 2021, growing at a 63% 5-year CAGR. RPA can become a cornerstone in almost every industry: from finance, insurance, logistics to healthcare. As reported by McKinsey, 60% of all jobs could have at least 30% repetitive, tedious tasks that could be automatable. Automation could replace between 9 to 26% of such activities by 2030.

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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.

How is AI impacting the healthcare industry?

In the wake of the pandemic, the demand for better healthcare services is rapidly increasing. A smart hospital refers to a combination of artificial intelligence, cloud technology, and connected devices utilized to enhance patient’s care services and optimize hospital’s workflows. The objective is to create a connected ecosystem to provide patients with the best experience while allowing hospitals to increase their operational efficiency.

Healthcare startup Subtle Medical has developed a deep learning-based application which enhances images during the acquisition phase of the radiology workflow and improve hospital's productivity by reducing work hours for diagnosis. The company uses NVIDIA’s Graphics Processing Unit (GPU) to improve PET image quality and shortening the image recognition pipeline, from 10 minutes to 10 seconds per patient.

Intel also uses AI based applications to make healthcare services more personalized, connected, and smart. Through Natural Language Processing (NLP), Intel is accelerating the development of telemedicine: In the next years for doctors, it will be normal to visit a patient remotely or to keep automatically note of a visit, uploading it directly into the Cloud. The combination of Telemedicine and AI will help smart hospitals to systematically analyze patients’ real-time data and to respond quickly to emergencies, as AI software can analyze data quicker than humans and more rapidly identify medical issues before they become calamitous.

Also, tech giant Apple is working with hospitals to make it easier for patients to share information with their doctors: Through the Apple Watch, people can share their health data with doctors and keep these recorded in a dashboard accessible through the app. Apple collaborates with many institutions to establish the clinical accuracy of Apple Watch features by continuously upgrading its software and technology, showing that the cardiac metrics it monitors is as good as clinical tests.

Smart hospitals are disrupting the healthcare industry. As reported by MarketWatch, the smart hospital market is expected to be around $77.80B by 2026, growing at a CAGR of 23.5% over the forecasted period. Technology can enrich people’s lives, and AI – including machine learning, deep learning, etc.- plays a critical role to reach this goal. By combining innovative infrastructure and smart technologies, it will be possible to create a metaverse where patients' health can be constantly kept under control and hospitals can respond quicker than ever to emergencies providing more personalized treatments.

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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.