Emerging Trends: AI, IoT, Cloud
Why study emerging trends?
Technology changes very fast. Ideas that were science fiction ten years ago — talking to your phone, cars that drive themselves, paying with your face — are normal today. Emerging trends are new technologies that are growing quickly and changing how we live, learn and work.
Artificial Intelligence (AI)
Artificial Intelligence is the ability of a machine to do tasks that normally need human intelligence: understanding language, recognising faces, solving problems and making decisions. An AI system gets better as it gets more data and feedback.
| Where you meet AI | What it does |
|---|---|
| Google Maps | Predicts traffic and suggests the fastest route |
| YouTube / Netflix | Recommends videos you may like |
| Phone face unlock | Recognises your face |
| Chatbots like ChatGPT | Understands and writes text |
| Email spam filter | Separates junk mail from important mail |
Machine learning, NLP, immersive experiences and robotics
- Machine Learning (ML): show the computer thousands of labelled photos of cats and dogs; it builds a model that can label a new photo. Used in fraud detection, crop-disease detection from leaf photos, and marks prediction.
- Natural Language Processing (NLP): makes computers understand human language — voice typing, Google Translate (English ↔ Hindi), Alexa, auto-correct.
- Immersive experiences: Virtual Reality (VR) puts you in a completely computer-made world through a headset (flight simulators, virtual tours). Augmented Reality (AR) adds digital objects on the real world through your camera (Pokémon Go, trying furniture in your room before buying).
- Robotics: machines that sense, think and act — factory robot arms, Mars rovers, drones delivering medicines, robotic vacuum cleaners.
Big data and its 5 Vs
Big data means data sets so large and fast-changing that normal software like a spreadsheet cannot store or analyse them. Every minute, people send millions of messages and upload hundreds of hours of video.
Data analytics is the process of examining big data to find patterns. Example: an e-commerce site studies millions of orders to decide which products to stock before Diwali.
Internet of Things (IoT)
IoT is a network of physical objects — fans, ACs, watches, cars, street lights — fitted with sensors, software and internet connection so that they can collect data and be controlled remotely.
- Web of Things (WoT): uses web technologies so IoT devices can be controlled through a web page or app.
- Sensors: detect changes — temperature, light, motion, GPS location, heartbeat. Your phone has many: accelerometer, gyroscope, proximity sensor, fingerprint sensor.
- Smart cities: use IoT for smart traffic lights, parking, waste bins that report when full, and water and electricity management.
Cloud computing
Cloud computing means using computing resources — servers, storage, databases, software — over the internet on a pay-as-you-use basis, instead of buying and maintaining them yourself. Example: you write a document in Google Docs; it is stored on Google's servers and you can open it from any device.
Cloud deployment can be public (shared by everyone, e.g. AWS), private (used by one organisation) or hybrid (both). Benefits: low cost, scale up or down instantly, automatic backup, access from anywhere. Concerns: needs internet, privacy and security of data.
Grid computing
In grid computing, many computers in different places are connected so that they work together like one big virtual supercomputer on one large task. Each computer solves a small piece.
Grid computing
- Many computers, often owned by different people
- Share idle processing power for one big job
- Example: scientists analysing particle-physics data, volunteer projects like Folding@home
Cloud computing
- Data centres owned by a provider
- Services rented by many users
- Example: storing photos on Google Drive
Blockchain
A blockchain is a digital record (ledger) of transactions that is shared among many computers. Data is stored in blocks; each block contains data, a timestamp and the hash (digital fingerprint) of the previous block, which links them into a chain.
Uses: cryptocurrencies like Bitcoin, land records, supply-chain tracking (where did this medicine come from?), digital certificates, and secure voting. It is decentralised — no single bank or company controls it.
Summary & practice
- AI ⊃ machine learning ⊃ deep learning; NLP, AR/VR and robotics are AI applications.
- Big data: Volume, Velocity, Variety, Veracity, Value.
- IoT = objects + sensors + internet; smart cities use it widely.
- Cloud: IaaS, PaaS, SaaS; public, private, hybrid.
- Grid joins many computers for one task; blockchain is a shared chain of linked blocks.
Identify the technology: (a) Seeing how a sofa looks in your room using the phone camera. (b) A dustbin that sends an alert when full. (c) Writing a project in Google Docs. (d) A land record that nobody can secretly change.
Answers: (a) AR (b) IoT (c) Cloud – SaaS (d) Blockchain.
