problems. It creates a hybrid environment that uses the strengths of each technology.
Let’ s say you work for an organisation in a highly regulated sector like health, banking and aviation, you ought to store your sensitive data locally and also run mission-critical application on-premise while at the same time leveraging AI capabilities on cloud for insights and analytics. This hybrid setup enables the business to scale efficiently, optimize costs and maintain flexibility.
Accelerating innovation and development by leveraging cloud-based development tools, while maintaining secure, on premises environments for production is one of the use-case. Others include enhancing data security and compliance by storing sensitive data on-premises, meeting strict data privacy regulations, while using the cloud for less sensitive operations or analytics. By keeping critical workloads in-house for security reasons, while using the cloud to handle peak loads during busy seasons ensures cost-efficient scalability.
Sustainability is now a global issue and a C-level focus. It is a subject that can no longer be ignored, relegated to backwaters or swept under the carpet. IT significantly contributes to environmental footprints, especially in industries like financial services and IT services, as energy intensive technologies like AI drive higher energy
consumption. That is where Energy Efficient Computing kicks in. Energyefficient computing refers to designing and operating computers, data centres and other digital systems in ways that minimize energy consumption and carbon footprint. According to Gartner,“ While conventional processing improvements are reaching their limits, new computing technologies, such as graphics processing units( GPUs), neuromorphic computing and quantum computing, are expected to deliver the substantial energy-efficiency gains needed in the next five to 10 years.”
Imagine a scenario where machinery, equipment and other devices are able to communicate with management systems providing insights and analytics. That is Ambient Intelligence for you. According to Wikipedia“ Ambient intelligence( AmI) refers to environments with electronic devices that are aware of and can recognize the presence of human beings and adapt accordingly. This concept encompasses various technologies in consumer electronics, telecommunications, and computing. Its primary purpose is to enhance user interactions through context-aware systems.
AmI aims to create environments where devices communicate seamlessly with users, leveraging data from interconnected systems. A common example of Aml is the Internet of Things( IoT), which
integrates everyday devices into networks that provide intelligent responses based on user behavior.”
Have you ever heard of augmented reality( AR) and mixed reality( MR)? Most probably. Spatial computing augments the physical world by“ anchoring” digital content in the real world, enabling users to interact with it in an immersive, realistic and intuitive experience. Picture your customers navigating stores / purchasing decisions with an interactive virtual assistant to improve the shopping experience, driving higher engagement and sales. If you are in HR, imagine creating lifelike simulations for employee trainings to emulate hands-on learning, reducing training costs and risks while improving skill acquisition and retention. Those are some of the use-cases for spatial computing.
Well, the world of IT can be somewhat fluid and sporadic at times. But, with those key trends to look out for, you have a head start. Do have yourself a“ tech-woke” 2025.
Murithi Magiri is the Lead IT Consultant at Magtech Solutions. You can commune with him via email at: Solutions @ magtech. co. ke.
Empower yourself today with kasneb qualifications.
Registration Ongoing
Log onto the kasneb website for registration, booking and more details.
For training on kasneb qualifications, enroll in any kasneb accredited institution.
info @ kasneb. or. ke
Tel: 020 4923000 Mobile: 0722201214