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.

How SaaS Technology Transforms Unstructured Data into Strategic Insights

In the digital era, data isn't just a commodity: it's the lifeblood of businesses worldwide. From online interactions to customer reviews and social media posts, every digital footprint adds to this immense pool of information. However, a significant portion of this data isn't neatly organized: 90% of data is unstructured, a mix of text, numbers, and dates from various sources and formats. This data contains valuable insights, but companies need innovative solutions to use all this information effectively.

Recognizing the need for innovative solutions, businesses turn to Software-as-a-Service (SaaS) technology, which stands at the forefront of the data revolution. SaaS operates on a cloud-based model, where third-party providers host applications accessible to users over the internet. What sets SaaS apart is its elimination of the need for users to install, maintain, or upgrade applications individually. Instead, users can seamlessly access the software through a web browser, paying a subscription fee either monthly or annually. This approach not only simplifies data management but also empowers businesses to effectively harness the untapped potential of unstructured data, transforming it into valuable insights for strategic decision-making.

An example of SaaS model application is Elastic, a cloud-based platform designed to handle large volumes of unstructured data accessible to users over the internet. What sets Elastic apart is indeed its remarkable adaptability as users don't need to install any software on their device. Elastic provides its services on a subscription basis, allowing businesses to pay for the services they use without the hassle of upfront costs.

Concur is another company that operates on a SaaS model, offering cloud-based software solutions to businesses for managing their travel expenses and invoices. By leveraging SaaS technology, Concur’s users can access travel, expense, and invoice management tools from anywhere paying a subscription fee based on their usage. Also, Concur's SaaS platform can connect with other business software, making it easy to share data between different systems. By doing so, Concur transforms seemingly disparate pieces of information into meaningful, actionable insights that empower businesses to make well-informed decisions related to their travel expenditures, employee preferences, and overall travel management strategies.

Car-sharing leader Uber has successfully integrated SaaS technology into its operations, revolutionizing the way it serves its customers. Through advanced data analysis, Uber integrates and processes unstructured data coming from different data sources, including traffic patterns and GPS information, to make real-time decisions on pricing and optimizes driver routes. Moreover, UberEATS, an extension of Uber that specializes in food delivery, employs sophisticated data analysis software: By understanding customer preferences and behaviors, UberEATS can predict the arrival time of a customer's UberEATS order, ensuring a seamless customer experience.

The Software-as-a-Service (SaaS) market is experiencing unprecedented growth, reaching $148.75 billion in 2021 and projected to soar to $702.19 billion by 2030, as reported by Gartner. In this era of data-driven decision-making, the importance of SaaS technology in harnessing unstructured data cannot be overstated. Companies are increasingly recognizing the pivotal role SaaS plays in converting raw data into actionable insights and enhancing their growth prospects.

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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.

Unlocking Creativity: How AI is Transforming Content Creation

Historically, creativity has been seen as an innately human trait, but the rise of generative AI has redefined this assumption. Creative AI is at the forefront of a transformative wave in content creation, leveraging Artificial Intelligence to produce original and diverse content formats, including impressive visuals and realistic speech and music.

For example, AI imaging pioneers like DALL-E2 and Imagen have demonstrated the ability to generate highly realistic images from simple text descriptions, promising faster, cost-effective, and highly personalized content creation at an unprecedented scale. As an example, when prompted with "a bowl of soup that serves as a gateway to another world in digital art," the AI produces imaginative images that blend creativity and realism, providing a surreal experience (view images below). This exciting development demonstrates how AI is reshaping content creation, giving us a peek into a future where making content is not only quicker and cheaper, but also more tailored to individual preferences. This technology has the potential to completely revolutionize industries that rely on visual content, such as advertising and art, by opening a range of new exciting opportunities for creators and their audience.

Various images generated by DALL-E 2 given the above prompt, Source OpenAI

Another example of Creative AI application was developed by Tencent Music Entertainment, the leading online music entertainment platform in China. The company created mor 1.000 tracks that contain vocals generated by AI technology designed to emulate human voice. This technology called Lingyin Engine, can quickly replicate singers’ voices to produce original songs of any style and language: One of these tracks, titled “Today”, has already surpassed 100million streams. HYBE, a Korean entertainment company and record label behind Korean pop sensation BTS, has acquired Supertone, an AI sound and music generator. This convergence of music and AI not only promises to reshape the music industry but also opens a world of possibilities for artists, providing them with a new era of sonic creativity and experimentation.

Also, creative AI stands out for its remarkable potential to improve productivity, accomplishing in a few years what previously took decades for major technological advancements. Electricity took nearly four decades to have a real impact on productivity since it required adaptation to physical infrastructure. Computers took roughly two decades to make a significant impact with human adoption representing the main barrier to its development. In contrast, creative AI has taken less than three years to deliver major performance improvements, largely due to the active involvement of tech giants who have provided workers with user friendly AI powered tools and applications.

In conclusion, AI is transforming content creation at an astonishing pace. It's not here to replace human creativity but to enhance it. Examples like DALL-E2, Imagen, Tencent Music, and HYBE show how AI can generate stunning visuals and music quickly and affordably. This has the potential to revolutionize industries like advertising and music. According to Fortune Business Insight, the AI market size was 428$ billion in 2022 and is projected to grow from 515.31$ billion in 2023 to 2 trillion by 2030, at a CAGR of 21.6%. This growth reflects the increasing importance of AI, including the creative AI sector, in shaping various industries. As AI technologies advance, they are expected to play a pivotal role in this expansion, offering new opportunities for innovation and productivity.

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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.