It was over 5 years ago we started planning the Data Toboggan event. It has been great to see the event grow 3x and we have changed with the technology growth. We will be opening CfS shortly for the next event anticipated to be 31 January 2025.
Chaos, complexity, curiosity and database systems. A place where research meets industry
Welcome
"The important thing is not to stop questioning. Curiosity has its own reason for existing" Einstein
Wednesday, 12 November 2025
Data Toboggan back stories
From Steam to Silicon to Sentience: Four Industrial Revolutions and the Fragile Future of AI
The story of human progress is punctuated by revolutions, not just in technology, but in how we think, organize, and trust. From the steam engines of the 1840s to the generative models of the 2020s, each wave has promised liberation and delivered disruption. Today, as AI surges toward ubiquity, we must ask: what have we learned from past revolutions, and what must we safeguard before the bubble bursts.
Four Revolutions That Changed Everything
There are four revolutions that resulted in significant change
where we can learn from the affects to help the AI revolution progress
unhindered.
|
Era |
Catalyst |
Impact |
Risk |
|
Industrial
Revolution (c. 1760 – 1840s) |
Steam power,
mechanization |
Mass
production, urbanization, labour displacement |
Exploitation,
unrest (e.g. Plug Plot Riots, 1842) |
|
Digital
Revolution (1950s – 1990s) |
Mainframes,
UK computing pioneers, PCs |
Automation,
global communication, software economies |
Surveillance,
fragmentation, digital exclusion |
|
Cloud
Revolution (2000s – 2020s) |
Virtualization,
SaaS, mobile-first |
Scalable
infrastructure, remote work, data centralization |
Vendor
lock-in, opaque governance, cyber risk |
|
AI Revolution
(2020s –) |
Foundation
models, generative AI |
Cognitive
automation, new interfaces, synthetic creativity |
Hallucinations,
bias, job loss, trust collapse |
The second revolution of computing was not just technical.
It redefined abstraction, logic, and control. From the UK’s early computing
pioneers to the rise of PCs, it laid the groundwork for cloud and AI. Yet it
also introduced new vulnerabilities: fragmented standards, digital inequality,
and the erosion of analogue memory.
Cloud as the Bridge: Infrastructure to Intelligence
Cloud computing connected digital and AI with its abstracted
hardware, centralized data, and the capabilities to scale with ease. But as
Satya Nadella emphasizes in his annual letter and Microsoft’s 2025 report,
innovation without strategic purpose is fragile. Microsoft’s Secure Future
Initiative and Quality Excellence Initiative reflect a shift: AI must be built
on trust, not just talent.
Brad Smith’s AI Diffusion Report warns that AI is spreading
faster than any prior technology but unevenly. The Global South, non-English
languages, and underrepresented communities’ risk being left behind.
Data: The Fuel, the Flaw, the Future
AI’s power is unprecedented and has the power to improve or
destroy depending on the algorithm development but also on the state of data.
Poor quality, biased, or ungoverned data leads to hallucinations,
misinformation, and systemic risk. As the BBC’s article on AI hallucinations
shows, even the most advanced models can confidently fabricate facts,
undermining journalism, science, and public trust. From the simplest things I
have seen AI fabricate data, which is written so well, to the untrained eye it
could be believed. Once the data is triangulated the output can be trusted. However,
the data sources quality, the prompts and data that is behind paywalls will
influence the outcome.
This is not a glitch it is a consequence of probabilistic
systems trained on imperfect inputs. Without rigorous data governance,
provenance tracking, and human oversight, AI becomes a mirror of our worst
assumptions.
When the Bubble Bursts: Coping with the AI Comedown
Every revolution has its reckoning. The Plug Plot Riots of
1842, the dot-com crash, and the decline of post-industrial towns all reveal
the cost of overhyped promises and underprepared systems. When the AI bubble
bursts whether through regulation, disillusionment, or economic correction, organizations
with strong data foundations, ethical frameworks, and human-centred design will
endure.
Those who chased novelty without governance will falter.
Satya Nadella’s mantra is “thinking in decades, executing in
quarters” is more than a business strategy. It’s a survival imperative. The AI
era demands long-term vision grounded in short-term accountability. That means:
- Investing in data quality and lineage as core
infrastructure
- Embedding responsible AI principles into every product and
process
- Preparing workers for augmentation, not just automation
- Designing for resilience, not just scale
Conclusion: From Revolution to Renaissance
The Industrial Revolution reshaped labour. The digital
revolution redefined logic. The cloud revolution scaled infrastructure. AI is
now rewriting cognition. but without trust, transparency, and governance, even
the most powerful tools will falter. As the socio-technical divide deepens and
ecological systems strain, the cost of inaction grows, and we risk accelerating
collapse socially and ecologically.
The disruption from AI is only just beginning. As Business
Insider quoted, “Elon Musk said AI will make desk jobs feel like when
workers used to make calculations by hand before the computer age.” This
echoes the upheaval of 1842, when industrialisation redefined labour.
If we want AI to be a renaissance, not a reckoning, we must
treat data as infrastructure, governance as strategy, and human ethics as
non-negotiable. The future isn’t just what we build; it’s what we’re willing to
steward.
We must draw a line: to protect data, embed meaningful
guardrails, and confront the human cost of displacement. That means planning
not only for the jobs we lose, but for the ones we must invent. It also means
addressing the widening continental divide in AI development and its cascading
impact on the environment and global economy.
'It's going to be really bad': Fears over AI bubble bursting grow in Silicon Valley
https://www.bbc.co.uk/news/articles/cz69qy760weo
Satya Nadella annual letter: Thinking in decades, executing in quarters
https://www.microsoft.com/investor/reports/ar25/index.htmlhttps://www.linkedin.com/pulse/my-annual-letter-thinking-decades-executing-quarters-satya-nadella-7orpc?utm_source=share&utm_medium=member_android&utm_campaign=share_via
Brad Smith https://aka.ms/AIDiffusionReport
Elon Musk says the AI 'supersonic tsunami' will eliminate desk jobs 'at a very rapid pace'
Monday, 3 November 2025
SQLCon 2026
A new conference has arrived. The Microsoft SQL Community Conference, SQLCon 2026, is coming as part of the Microsoft Fabric Community Conference, 16-20 March 2026 in Atlanta.
It will be a premier level conference for data professionals, featuring 50 breakout sessions and 4 expert-led workshops covering SQL Server, Azure SQL, SQL in Fabric, SQL Tools, migration & modernization, optimization, database security, AI Apps with SQL and much more.
It is a place where the SQL community can come together to share what works, what’s next, and what truly matters.Register now https://sqlcon.us/