Computer · Chapter 10

🚀 Emerging Technologies

AI, cloud, IoT, blockchain, 5G, Digital India.

🚀 The Future Is Now

Technology is evolving at exponential speed. Understanding emerging technologies is crucial for exams and careers.

Artificial Intelligence (AI) — machines that simulate human intelligence.
• ML (Machine Learning) — learns from data without explicit programming
• Deep Learning — neural networks with many layers. Powers image recognition, ChatGPT.
• NLP (Natural Language Processing) — computers understand human language
• Applications: ChatGPT, Google Search, recommendation engines, fraud detection, self-driving cars

Cloud Computing — using internet-based servers for storage, processing, and software.
• IaaS (Infrastructure as a Service) — virtual servers (AWS EC2, Azure VMs)
• PaaS (Platform as a Service) — development platform (Heroku, Google App Engine)
• SaaS (Software as a Service) — software over internet (Gmail, Salesforce, MS 365)
• Examples: AWS (Amazon), Azure (Microsoft), Google Cloud

📡 IoT, Blockchain, 5G

IoT (Internet of Things) — everyday devices connected to internet. Smart home (Alexa, smart bulbs), smart cities, wearables, industrial sensors. Security risk: unsecured IoT devices can be hacked.
Blockchain — distributed ledger. Data stored in linked blocks, immutable. Used in: cryptocurrency (Bitcoin), supply chain, smart contracts, digital land records (India).
5G — 5th generation mobile network. Speed: up to 10 Gbps (100x faster than 4G). Ultra-low latency (1ms). Enables: autonomous vehicles, remote surgery, smart cities, massive IoT.
India's 5G launched October 2022 — Reliance Jio and Airtel leading rollout.

🔑 More emerging tech — SSC/CCC exam

Big Data — massive datasets (3 Vs: Volume, Velocity, Variety). Tools: Hadoop, Spark.
AR (Augmented Reality) — overlays digital on real world. Pokémon Go, Google Maps AR.
VR (Virtual Reality) — fully immersive digital world. Meta Quest, gaming.
Edge Computing — processing near data source (not central cloud). Faster, less latency.
Quantum Computing — uses quantum bits (qubits). Superposition and entanglement. Can solve problems impossible for classical computers. IBM, Google, D-Wave working on it.
Digital India — India's flagship programme. UPI, Aadhaar, DigiLocker, UMANG, BharatNet.

🎬

Emerging Technologies — Click to Explore

Animation
FUTURE TECHNOLOGIES — CLICK EACH CARD 🤖 AI / ML • Machine Learning • Deep Learning / Neural nets • NLP, Computer Vision ChatGPT, Google Search, Siri ☁️ Cloud Computing • IaaS — virtual servers • PaaS — dev platform • SaaS — software service AWS, Azure, Google Cloud 📡 IoT • Smart home devices • Wearables, sensors • Industrial IoT (IIoT) Alexa, smartwatch, smart city ⛓️ Blockchain • Distributed ledger • Immutable data blocks • Smart contracts Bitcoin, Ethereum, NFTs 📶 5G Network • Speed up to 10 Gbps • Latency: 1 millisecond • Massive IoT connectivity India launch: Oct 2022 ⚛️ Quantum Computing • Quantum bits (qubits) • Superposition + entanglement • 100 million x faster (someday) IBM Quantum, Google Sycamore CLICK A TECHNOLOGY These technologies are shaping the future — understanding them is essential for 21st century careers.

AI, Cloud, IoT, Blockchain, 5G — these 5 technologies are transforming every industry globally.

💻

Digital India & Future Tech Explorer

Interactive
LaunchedJuly 1, 2015 — PM Narendra Modi
UPIUnified Payments Interface — 100 billion+ transactions/year
Aadhaar1.4 billion biometric IDs — world largest biometric database
DigiLockerStore documents digitally — linked to Aadhaar
BharatNetOptical fibre broadband to 2.5 lakh gram panchayats
Practice (CCC/SSC): What is cloud computing? What are its service and deployment models?
Cloud Computing — delivery of computing services (servers, storage, databases, software) over the internet ("the cloud") on a pay-as-you-use basis.

Service Models:
• IaaS (Infrastructure as a Service): Rent virtual hardware — servers, storage, networking. You manage OS and up. Example: AWS EC2, Azure Virtual Machines, Google Compute Engine.
• PaaS (Platform as a Service): Development platform provided — OS, runtime, database. You manage application and data. Example: Heroku, Google App Engine, AWS Elastic Beanstalk.
• SaaS (Software as a Service): Complete software over internet. Provider manages everything. Example: Gmail, Microsoft 365, Salesforce, Zoom, Dropbox.

Memory trick: IaaS = I manage most. PaaS = Platform manages middle. SaaS = Someone manages all.

Deployment Models:
• Public Cloud: Shared infrastructure, available to all. AWS, Azure, Google Cloud.
• Private Cloud: Dedicated to one organization. On-premise or hosted. More secure.
• Hybrid Cloud: Mix of public and private. Sensitive data on private, others on public.
• Community Cloud: Shared by specific community (government agencies, banks).

India government uses MeghRaj (National Cloud) — private cloud for government data.
Practice (SSC): What is Big Data? Explain the 3 Vs.
Big Data refers to datasets so large, fast, or complex that traditional data processing tools cannot handle them.

The 3 Vs of Big Data:

Volume:
• Massive amounts of data — petabytes and exabytes
• Facebook generates 4 petabytes of data daily
• Google processes 8.5 billion searches per day
• Challenge: How to store and process this much data?

Velocity:
• Data generated at extreme speed — real-time streaming
• Twitter generates 500 million tweets per day
• Stock exchanges process millions of transactions per second
• Challenge: How to process data fast enough to be useful?

Variety:
• Multiple data formats: structured (databases), semi-structured (JSON, XML), unstructured (images, videos, text)
• Only 20% of data is structured (traditional database)
• 80% is unstructured (emails, social media, videos)
• Challenge: How to extract meaning from diverse data types?

Some add 2 more Vs:
• Veracity — data quality and accuracy
• Value — extracting business value from data

Tools: Hadoop (distributed storage and processing), Apache Spark (fast processing), Kafka (streaming), MongoDB (flexible NoSQL).

India uses Big Data for: Aadhaar verification, railway reservation optimization, crop yield prediction, election analysis.
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