Author: Mark Whitfield

Welcome to my site! After graduating in Computing in 1990, I accepted a position as a programmer at a Runcorn based software house specialising in electronic banking software, namely sp/ARCHITECT-BANK on Tandem Computers (now HPE NonStop). This was before the internet became more prevalent and so the notion of enabling desktop access to company accounts for inter-account transfers and book keeping was still quite a cutting edge idea (and smartphones only ever hinted at in Space 1999). The company was called The Software Partnership (which was taken over by Deluxe Data in 1994). I spent 5 years in Runcorn developing code for SP/ARCHITECT for various banks like TSB, Bank of Scotland, Rabobank and Girofon (Denmark) to name but a few. I then moved onto a software house in Salford Quays for further bank facing projects. After a further 23 years in the IT industry and now a Senior IT Project Manager (both Agile and Waterfall delivery), I thought I would echo out my Career Profile in this corner of the internet for quick and easy access.

CrestCo Ltd, now Euroclear UK & International (EUI)

CrestCo Ltd, now operating as Euroclear UK & International (EUI), is the central securities depository (CSD) for the United Kingdom and Ireland, responsible for the electronic settlement of securities transactions.

Founded in the mid-1990s, CrestCo revolutionized London’s financial markets by moving them from paper-based share certificates to a “dematerialised” (electronic) system, thereby significantly reducing settlement times, risks, and costs.

Worked on-site at CrestCo in 1997 coding volume testing software

Detailed Overview: CREST and CrestCo

Purpose: The CREST system (Certificateless Registry for Electronic Share Transfer) enables electronic, real-time settlement of securities.
Services: It handles settlement of UK and Irish equities, gilts (government bonds), and various other corporate securities.
Key Functions:
- Dematerialisation: Eliminating the need for physical share certificates.
- Real-time Settlement: Reducing operational and credit risk.
- Corporate Actions: Managing dividend payments and other corporate events.
- CDIs: Utilizing CREST Depositary Interests (CDIs) to facilitate trading of international securities.
Transformation: In 2002, CrestCo was acquired by Euroclear and later renamed Euroclear UK & Ireland Ltd (EUI).

Comprehensive Timeline by Year

1993: The Bank of England initiates the CREST project to replace the aborted TAURUS system (Transfer and Automated Registration of Uncertified Stock), aiming to digitize London’s settlement.
1996: CrestCo Ltd is officially founded and the CREST system goes live, beginning the shift from paper-based settlements to electronic transfers.
1997-1998: Rapid adoption of the system by market participants, facilitating faster settlement cycles.
1999: Introduction of automated “settlement discipline” regimes, including league tables and fines to incentivize performance.
2002: Euroclear merges with CrestCo. CrestCo is integrated into the Euroclear group, marking its transformation into a larger, internationally integrated entity.
2007 (July 1): CRESTCo Ltd officially changes its name to Euroclear UK & Ireland Ltd (EUI).
2010 (September 1): EUI merges with EMX Company Limited, enhancing its ability to handle investment funds and expanding its network.
2016: CISI reports that CREST has successfully provided 20 years of secure, efficient settlement, solidifying its role in UK financial infrastructure.
2020s: Continued enhancement of the system, including improved digital security and adaptation to evolving European Union and UK regulatory standards.
2024: Continued operation as a premier infrastructure provider under Euroclear.
2026 (April): Euroclear UK & International Ltd continues to operate as the leading CSD in London, with ongoing focus on digital asset security and efficient settlement.

Key Impacts on London Financial Markets

Risk Reduction: Shifted settlement risk from days to near real-time.
Efficiency: Drastically reduced manual processing (“mundane practices”) and associated costs.
Integration: Facilitated the integration of UK markets into the broader European infrastructure.

CrestCo Ltd, now operating as Euroclear UK & International (EUI)

Artificial Intelligence (AI) Overview and Detailed Timeline Evolution

Artificial Intelligence (AI) is the branch of computer science dedicated to creating systems capable of performing tasks that typically require human intelligence, such as reasoning, learning, problem-solving, and perception. As of 2026, AI has transitioned from experimental research to widespread deployment as foundational infrastructure, with focus shifting from mere generative models to agentic, autonomous systems capable of executing complex, multi-step workflows.

Detailed Overview of AI in 2026

Core Capabilities: Modern AI combines large language models (LLMs), multimodal understanding (text, image, audio), and autonomous agents that can plan, remember, and act independently.
Agentic AI: A significant shift is the proliferation of AI agents that act as “digital coworkers” rather than just tools, handling tasks within business environments.
Democratization & Open Source: The open-source movement has accelerated, placing powerful AI capabilities in the hands of many, reducing dependence on single providers.
Regulation and Ethics: Following frameworks like the EU AI Act, 2026 is marked by the implementation of laws focusing on safety, transparency, and accountability, including AI watermarking to curb misinformation.
Major Trends: Key trends include standardized AI performance benchmarks (e.g., Machine Intelligence Quotient), interoperability between different AI agents, and integration of AI into physical robotics.

Historic Timeline and Evolution of AI (1950–2026)

I. The Foundations (1950–1956)

1950: Alan Turing publishes “Computing Machinery and Intelligence”, proposing the “Turing Test” to measure machine intelligence.
1956: The term “Artificial Intelligence” is coined by John McCarthy at the Dartmouth Conference, establishing AI as a formal field of study.

II. Early Enthusiasm and First Winter (1960s–1970s)

1966: Joseph Weizenbaum develops ELIZA, the first chatbot capable of simulating conversation.
1970s: AI progress slows due to limited computer power, leading to reduced funding—known as the first “AI Winter”.

III. Expert Systems and Second Winter (1980s–1990s)

1980: Expert systems (e.g., XCON) emerge, bringing AI back into commercial use.
1986: Geoffrey Hinton and others popularize backpropagation, enabling neural network training.
1997: IBM’s Deep Blue defeats world chess champion Garry Kasparov, showcasing the power of strategic AI.

IV. The Rise of Big Data and Deep Learning (2000s–2010s)

2006: Geoffrey Hinton publishes work reigniting interest in neural networks through “deep learning”.
2011: IBM Watson wins Jeopardy!, showcasing advances in natural language processing.
2012: AlexNet wins the ImageNet competition, proving the efficiency of Convolutional Neural Networks (CNNs).
2014: Ian Goodfellow invents Generative Adversarial Networks (GANs), enabling AI to create realistic images.
2016: DeepMind’s AlphaGo defeats Lee Sedol, mastering the complex game of Go.
2017: Google researchers introduce Transformers, the architecture underpinning modern LLMs.

V. Generative AI and Agentic Era (2020s–2026)

2020: OpenAI releases GPT-3, demonstrating unprecedented language generation capabilities.
2022: The public release of ChatGPT marks the mainstream breakthrough of Generative AI.
2024: OpenAI releases o1 (formerly Strawberry), focusing on advanced reasoning.
2025–2026: AI becomes “Agentic,” shifting from chatbots that create content to autonomous agents that plan, execute, and interact across software systems.

Key References for Further Reading

Artificial Intelligence (AI) Overview and Detailed Timeline Evolution