§ — — Introduction to Computing
Technology in the 21st century has been shaped significantly by information and communication technology. ICT has become integral to business, government, education, and daily personal life.
Cloud computing means accessing computing services — software, storage, and processing power — over a network (typically the Internet) rather than running them locally on your own hardware.
Organizations adopt cloud computing to offload data management and back-end operations, letting their teams focus on higher-value work. Cloud services come in three broad forms:
Key benefits: reduced IT infrastructure costs, virtualization of resources, easier software maintenance (no installation on each user's device). Key concerns: privacy, compliance, security, and governance.
The IoT refers to the network of physical objects embedded with sensors, software, and connectivity that allows them to collect and exchange data with other devices and systems over the Internet.
Examples range from micro-cameras that image the inside of the body, to sensors that monitor crop health on farms, to smart home devices that control lighting or temperature. The rapid drop in the cost of IoT components has allowed people and businesses to innovate at an unprecedented pace.
Mobile apps — software designed to run on smartphones, tablets, and similar devices — represent one of the most significant computing shifts of recent decades. They are distributed through platform app stores (Apple App Store, Google Play, etc.), with revenue shared between the app distributor and developer.
HCI is a multidisciplinary field studying how people interact with computers, with the goal of making that interaction as effective and natural as possible. It emerged in the 1980s alongside the rise of personal computing, and has expanded from desktop computers to mobile devices, wearables, voice interfaces, and beyond.
Research in HCI draws on computer science, cognitive science, and human-factors engineering. The aim is to make the human-computer dialogue feel less like operating a machine and more like a natural conversation.
Analytics is the process of discovering patterns in data to support better decisions.
AI brings together cloud computing resources (for scale), machine learning algorithms (for learning), and contextual data (from IoT or large datasets) to add intelligent behavior to technical systems. Companies are incorporating AI to manage more complex IT architectures and solve problems that would be impractical to address through traditional programming.
As technology evolves faster, keeping systems secure becomes both more important and more difficult. Data security requires a combination of technical defenses, secure processes, and ongoing education. Organizations need to shift from purely technology-based defenses to a broader mindset that integrates technology, workflow design, and user awareness.
Data privacy is concerned with how personal information is collected, stored, processed, and shared. It involves balancing the legitimate use of data against individuals' rights to control their own information.
The Philippines enacted the Data Privacy Act of 2012 (Republic Act No. 10173) to protect personal information. Key principles include ensuring the integrity, confidentiality, and availability of personal data and limiting who can access it.
Cyberattacks are growing in both scale and sophistication. Organizations that fail to protect data risk losing customers: studies show significant percentages of users would switch providers after a data breach.
The shortage of qualified cybersecurity professionals is a compounding challenge. Many organizations find cybersecurity the hardest IT role to hire for. A long-term solution is investing in training and developing current IT staff into cybersecurity specialists, rather than relying entirely on external hiring.
In the Philippines, the Cybercrime Prevention Act (Republic Act No. 10175) provides the legal framework for addressing online crimes.
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