The rise of cloud computing: Key trends to watch
Let’s take a look at some key trends in cloud computing that are changing the way that businesses operate:
Increasing adoption of multi-cloud strategies
When using a multi-cloud strategy, businesses use multiple cloud vendors, rather than just one. By spreading workloads across different cloud environments (such as AWS, Microsoft Azure, and Google Cloud), businesses can improve their flexibility and resilience. This is particularly important for companies that depend upon 24/7 digital availability.
Multi-cloud strategies also support greater innovation and agility. By mixing and matching services based on specific needs—such as using one platform for machine learning tools and another for storage or security—a business can optimize its cloud investments and maintain a competitive edge.
The shift to edge computing
Edge computing means processing data close to where it's created, instead of sending it to a central data center or cloud. Unlike traditional cloud models where data is transmitted to centralized servers for processing, edge computing processes data closer to its source—whether that’s a device, sensor, or local server. This reduces the distance data has to travel, which in turn significantly improves latency, response times, and bandwidth efficiency.
When a business combines edge computing with their cloud infrastructure, they can enhance performance—particularly for applications that require immediate feedback (such as IoT, remote monitoring, or real-time analytics). This shift supports a more agile IT ecosystem.
Cloud computing in healthcare
There are multiple benefits of cloud computing in healthcare, making it possible for medical establishments to access patient records and diagnostic information quickly and easily. Traditionally, hospitals and clinics had to rely on local servers or even paper files, but now they can use cloud technology to keep their data accessible and secure.
Cloud platforms also support real-time updates, so medical professionals can instantly view lab results, medication changes, or vital signs. In emergency situations, this quick access to information can be life-saving. At the same time, robust security features built into many cloud platforms help ensure compliance with privacy regulations like the Philippines’ Privacy Act.
The growing role of AI and machine learning in cloud solutions
Artificial intelligence (AI) and machine learning (ML) are becoming increasingly central to cloud computing solutions. When integrated into cloud platforms, these technologies allow businesses to extract deeper insights from their data and make smarter decisions. AI and ML algorithms can identify patterns, detect anomalies, and even predict future trends—functions that would take much longer and be more error-prone if done manually.
For systems with integrated AI capabilities, one of the key cloud computing advantages is automation. Machine learning models can be trained to streamline repetitive tasks such as customer service queries, fraud detection, inventory management, or financial forecasting. This not only improves efficiency but also frees up human workers to focus on higher-value activities. Many cloud providers now offer built-in AI and ML services—such as predictive analytics, natural language processing, and image recognition.