Question 1

What is edge computing?

Accepted Answer

Processing data **near where it is produced** rather than sending it to a distant data centre — a response to the fact that some problems are not solved by more bandwidth, because the constraint is physics, privacy or reliability rather than capacity.

**The four genuine drivers:**

**Latency.** Light in fibre travels roughly 200km per millisecond, and real networks add switching delays. A round trip to a data centre 1,000km away costs at least 10 milliseconds before anything is computed. **For an industrial robot, a vehicle, a surgical instrument or a live augmented reality overlay, that is too slow** — and no amount of bandwidth fixes a distance.

**Bandwidth and cost.** A site with hundreds of cameras generates more data than it is sensible to ship anywhere. Processing locally and sending only events — "a person entered this zone" — reduces traffic by orders of magnitude.

**Privacy and regulation.** Video, health and biometric data may be legally or practically impossible to export. Processing on site means raw data never leaves.

**Reliability.** A factory, a ship, a mine or a farm must keep working when connectivity fails.

**What "the edge" actually means** varies by context, and this is a common source of confusion: it may be the device itself (on-device AI), a local gateway or server, a telecoms operator's facility at the base of a mast, or a regional point of presence. **It is a spectrum of distance, not a place.**

**Where it is genuinely deployed:** industrial automation and quality inspection; retail analytics; content delivery, which was arguably the first edge architecture; autonomous vehicles, which must decide locally; smart grids; and increasingly **on-device machine learning**, where models small enough to run on a phone handle speech, photography and translation without a network at all.

**The real trade-offs:** operating thousands of small sites is harder than one data centre; updates, security and physical access all become distributed problems; capacity cannot be pooled; and **hybrid is the norm** — inference at the edge, training and aggregation centrally.

Question 2

What is the difference between on-device and cloud AI?

Accepted Answer

Where the computation happens — and the trade-off is between privacy, latency and offline capability on one side, and capability, scale and updatability on the other. Cloud AI. Your input is sent to

Question 3

What should I know to understand the Internet of Things (IoT)?

Accepted Answer

Understanding the Internet of Things (IoT) involves knowing its components, applications, and implications, including devices, connectivity, data processing, user interfaces, and security.

Question 4

Where is "the cloud", physically?

Accepted Answer

In data centres — large buildings full of servers, owned by a handful of companies, in specific geographic locations. There is nothing ethereal about it. "The cloud" is a marketing term for someone

Question 5

What are cloud regions and availability zones?

Accepted Answer

A region is a geographic location containing cloud infrastructure; an availability zone is one or more physically separate data centres within that region, with independent power, cooling and

Question 6

What is the difference between a data controller and a data processor?

Accepted Answer

Who decides what happens to the data. The controller determines the purposes and means of processing; the processor acts on the controller's instructions. The distinction sets who carries which legal

Question 7

How can small businesses benefit from cloud computing?

Accepted Answer

Cloud computing offers small businesses cost efficiency, scalability, and enhanced collaboration, enabling them to operate more effectively and securely.

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