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)

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

Business Analyst Ecosystem and Core Competencies

Business Analyst Ecosystem and Core Competencies
Business Analyst Ecosystem and Core Competencies

From SEO to AI Visibility

From SEO to AI Visibility
From SEO to AI Visibility

Agile Backlog MoSCoW, Must, Should, Could and Won’t Have

Agile Backlog MoSCoW, Must, Should, Could and Won't Have
Agile Backlog MoSCoW, Must, Should, Could and Won’t Have

How AI Artificial Intelligence is Evolving in Project Management Career

How AI Artificial Intelligence is Evolving in Project Management Career
How AI Artificial Intelligence is Evolving in Project Management Career

Project signals not to be ignored and their meaning

Project signals not to be ignored and their meaning
Project signals not to be ignored and their meaning

Product Manager vs Project Manager

Product Manager vs Project Manager
Product Manager vs Project Manager

The Reality of a Project Manager, Execution and Accountability

The Reality of a Project Manager, Execution and Accountability

Agile Story Points and the Fibonacci Series, Estimation Strategy

Agile Story Points and the Fibonacci Series, Estimation Strategy
Agile Story Points and the Fibonacci Series, Estimation Strategy

Scrum and Agile in Projects

Scrum and Agile

Mark Whitfield, SC Cleared Senior Project Manager, Manchester

Mark Whitfield is a highly experienced, SC-cleared Senior Project Manager and Engagement Manager specializing in complex IT software development lifecycle (SDLC) projects, digital transformation, and cloud migrations.

Currently based in Greater Manchester, UK, he has over 31 years of experience in the IT industry, working with major blue-chip companies across various sectors, including UK Government, retail banking, aerospace, and utilities.

He is a certified PRINCE2 Practitioner, skilled in both Agile SCRUM and Waterfall methodologies.

Website Links:

Professional Biography:

Mark specializes in bridging technical teams and business stakeholders, delivering complex IT systems under challenging conditions.

His career spans from early roles as a developer on Tandem Mainframe Computers (HPE NonStop) to senior management positions focusing on cloud resources, API integrations, and CRM platform implementations.

  • Key Skills: Project Planning, Stakeholder Management, Financial Forecasting, Risk Management (RAID), Agile Scrum, PRINCE2, ITIL.
  • Key Strengths: Cloud Migration (Azure/Dynamics 365), Payment Systems (ATM/POS), and API-led connectivity.

Detailed Career Timeline:

  • Nov 2023 – Feb 2024 (UK Government – Capgemini): Acted as Client-Side Technical Delivery Manager for a £1m+ Fish Export Service (FES) to CHIP project, facilitating Azure-based API updates for UK-Northern Ireland trade.
  • Nov 2022 (UK Government – Capgemini): Managed two Microsoft Dynamics 365 Azure Cloud projects, including a £0.4m Dynamics 2016 migration and a £0.54m CRM platform discovery/build.
  • Feb 2022 (UK Utility Industry – Capgemini): Managed a £0.5M project migrating legacy document management systems to an Azure-based Enablon product.
  • 2020 (UK Gov – Capgemini): Senior PM for a £375k Agile proof-of-concept (POC) project migrating legacy applications (MS Access/Oracle) to Microsoft Azure and Dynamics 365.
  • Oct 2018 – June 2019 (MuleSoft): Served as Delivery Manager overseeing 5+ UK accounts for MuleSoft Anypoint Platform (API-led connectivity) implementations.
  • Oct 2017 (Automotive Industry – Capgemini): Managed a £430k Digital Readiness project and a £670k Customer Portal/Online Sales project (Agile).
  • May 2017 (Local Govt – Capgemini): Led a £400k telecommunications project (CCaaS) for the Support for Mortgage Interest (SMI) program.
  • Jan 2017 (Aerospace/Def – Capgemini): Senior Project Lead for two £1.3M projects with high-governance and gated deliverables.
  • Jan 2016 – Present (Capgemini UK): Joined as an Engagement Manager (A8), working on projects including Apple iOS app development for UK Air Traffic (NATS) and a £4.3M data center migration for Postal Services.
  • Dec 2014 – Jan 2016 (Betfred Limited): IT Senior Digital Project Manager for online/mobile payment gateways and sports book platforms.
  • Sep 2013 – Dec 2014 (Wincor Nixdorf): Senior Project Manager for a £5+ million ATM/POS software swap-out at a UK retail bank.
  • 2013 (Retail Banking – Riyadh): Delivered an RTLX transaction tracking project (BASE24 Classic) at a Saudi Arabian bank.
  • 1995 – 2013 (Insider Technologies): Worked on Strategic Technical Initiatives and bank-facing projects on the HPE NonStop platform (Tandem) for products Reflex 80:20, Reflex ONE24, RTLX and XPERT24.
  • 1990 – 1995 (The Software Partnership/Deluxe Data): Commenced career as a programmer specializing in electronic banking software on Tandem Computers (HPE NonStop), sp/ARCHITECT-BANK

Education:

  • 1988 – 1990: Higher National Diploma (HND) in Computing, Distinction/Overall First, Bolton Institute of Higher Education (now University of Greater Manchester from 2024).

Mark Whitfield, SC Cleared Senior Project Manager, Manchester

Connect NonStop Registration Sept. 2026, NonStop Technology & Business Conference

Connect NonStop Registration 2026, NonStop Technology & Business Conference
Event Date

September 15-17, 2026 (HPE Education Sept. 14)

Event Location

Orlando, Florida

Venue

The Rosen Plaza 9700 International Drive

Contact Us

info@connect-community.org

TBC’26

Why Do Project Managers Exist?

Why Do Project Managers Exist
Why Do Project Managers Exist?

Project Management Deliverables relating to Project Lifecycle

Project management deliverables are the tangible or intangible outputs—products, services, or documents—produced as a result of project activities. They are specific, measurable, and agreed upon by stakeholders to demonstrate progress toward project goals.

Overview of Project Deliverables

Deliverables are essential for breaking down project goals into manageable components, tracking progress, and ensuring stakeholder alignment.

Types of Deliverables:

  • Internal Deliverables: Created for internal use, such as team charters, project plans, and risk logs.
  • External Deliverables: Client-facing, such as a finished software product, marketing campaign, or project report.
  • Process Deliverables: Interim outputs that mark progress, such as prototypes, wireframes, or testing reports.
  • Product Deliverables: The final, completed goods or services delivered.
  • Tangible vs. Intangible: Physical/digital items (e.g., machinery) vs. conceptual outcomes (e.g., a new training program).

Textual/Documentation Deliverables Project Lifecycle

The project lifecycle defines the stages a project goes through from start to finish. Textual and documentation deliverables are key to managing and controlling these stages.

1. Initiation Phase (Initiating)

  • Goal: Define the project at a high level and obtain authorization.
  • Key Deliverables:
    • Business Case: Why the project is needed.
    • Feasibility Study: Whether the project is achievable.
    • Project Charter: A formal document outlining objectives, scope, and key stakeholders.

2. Planning Phase (Planning)

  • Goal: Develop a roadmap for project execution and define constraints.
  • Key Deliverables:
    • Project Management Plan: A comprehensive document (roadmap) detailing tasks, timelines, and resources.
    • Scope Statement/WBS: Defines boundaries and breaks down work.
    • Communication Plan: Strategy for stakeholder communication.
    • Risk Register: Identifies potential threats and mitigation strategies.

3. Execution Phase (Executing)

  • Goal: Carry out the work defined in the plan to produce deliverables.
  • Key Deliverables:
    • Interim Products/Prototypes: Tangible outputs produced.
    • Meeting Minutes/Notes: Documentation of decisions and action items.
    • Change Requests: Documents updating scope or plan.

4. Monitoring and Controlling Phase

  • Goal: Measure performance against the plan and adjust as needed.
  • Key Deliverables:
    • Status Reports: Progress updates on key performance indicators (KPIs).
    • Quality Control Reports: Results of testing and validation.
    • Updated Project Schedule: Reflects current progress.

5. Closing Phase (Closure)

  • Goal: Formally accept deliverables and close out the project.
  • Key Deliverables:
    • Final Product/Report: The completed output.
    • Project Closure Report: Confirms final deliverables and contract closure.
    • Lessons Learned Document: Records successes and areas for improvement.

Best Practices for Managing Deliverables

  • Define Early: Ensure all stakeholders agree on what “done” means at the start.
  • Use Tools: Employ PM software (e.g., Asana, Jira, Monday.com) to track deliverables.
  • Assign Owners: Each deliverable should have a single, clear owner to ensure accountability.
  • Link to KPIs: Connect deliverables to key performance indicators to measure value.

Project Management Deliverables relating to Project Lifecycle

Agile Dependency Matrix Management in Project Management

Agile Dependency Matrix Management in Project Management
Agile Dependency Matrix Management in Project Management

AI – ChatGPT vs Perplexity vs Claude

ChatGPT vs Perplexity vs Claude
ChatGPT vs Perplexity vs Claude, AI

Product Manager and Project Manager responsibilities and deliverables

Product Manager and Project Manager responsibilities and deliverables
Product Manager and Project Manager responsibilities and deliverables