Digital Transformation and Artificial Intelligence

Digital Identity Verification Techniques Using Distributed Ledgers

A concise, decision-focused programme covering distributed ledger identity verification end to end.

  • 5training days
  • 4modules
  • 8sessions
  • 32topics
Digital Identity Verification Techniques Using Distributed Ledgers
5days

About the programme

Course Overview

Boards are asking for measurable returns from distributed ledger identity verification, not demonstrations. The distance between a working prototype of identity verification and a system the business can depend on is where most budgets disappear. It is written for people who have to make the digital and data-driven work discipline work with the resources they already have. Teams frequently over-invest in documenting distributed ledger identity verification and under-invest in testing it. The method assumes participants will be challenged on their handling of this aspect of digital and data-driven work and prepares them for it. Field experience suggests that the barrier to better identity verification is rarely technical. Participants gain a realistic view of what distributed ledger identity verification costs and what it returns. The course gives participants a defensible structure for identity verification and the judgement to adapt it. Participants leave with a first-ninety-days plan for the digital and data-driven work capability rather than a set of notes.

Expected Learning Outcomes

  • Assess the current state of distributed ledger identity verification against a structured set of criteria rather than impressions.

  • Quantify the running cost of identity verification — compute, licensing, and the people who keep it alive.

  • Design the integration points between distributed ledger identity verification and the systems already in production.

  • Anticipate the objections that identity verification will attract internally and answer them in advance.

  • Document the decision record for distributed ledger identity verification so successors understand why it is built this way.

  • Agree the first three actions on identity verification that will be taken on returning to work.

  • Design the pilot for distributed ledger identity verification so its result is decisive rather than merely encouraging.

Who Should Attend

  • Those responsible for briefing external stakeholders on distributed ledger identity verification.

  • Business analysts translating requirements for identity verification.

  • Product owners prioritising the roadmap for distributed ledger identity verification.

  • Data and analytics leads responsible for the pipelines behind identity verification.

  • Operations managers whose processes are changed by distributed ledger identity verification.

  • Managers of multi-site operations seeking consistency in identity verification.

Course Modules

Open any module to see its sessions and topics.

01

Distributed ledger identity verification: cost, licensing and total running expense

2 sessions · 8 points

Session 1Testing distributed ledger identity verification before relying on it

  • Verify six months later that changes to distributed ledger identity verification have held.
  • Set out how exceptions to identity verification are requested and approved.
  • List the data sources distributed ledger identity verification consumes and confirm each has a named owner.
  • Map the handovers in identity verification between functions and secure them.

Session 2The governance identity verification needs and the governance it does not

  • Check that distributed ledger identity verification still works when volumes rise unexpectedly.
  • Arrange the handover of identity verification so capability survives staff changes.
  • Establish the boundary of distributed ledger identity verification and record what sits outside it.
  • Specify the fallback path when identity verification is unavailable.
02

Identity verification: measuring benefit and retiring what it replaces

2 sessions · 8 points

Session 1Where identity verification typically breaks, and why

  • Verify that distributed ledger identity verification still performs when input volume doubles unexpectedly.
  • Define acceptance criteria for identity verification in advance.
  • Identify the skills the team lacks to operate distributed ledger identity verification independently.
  • Anticipate the objections identity verification will raise and prepare the answers.

Session 2Getting other functions to support identity verification

  • Confirm the retention and deletion rules applied to data inside distributed ledger identity verification.
  • Define the service level identity verification must meet and what happens when it is missed.
  • Set the metrics that will show whether distributed ledger identity verification is drifting from its intended behaviour.
  • Classify the data in identity verification and apply access controls that match the classification.
03

Identity verification: governance, ethics and explainability

2 sessions · 8 points

Session 1Reading the true cost of running identity verification

  • Agree the smallest change to distributed ledger identity verification that would be visibly useful.
  • Plan how identity verification is versioned and how a bad release is rolled back.
  • Establish what evidence demonstrates distributed ledger identity verification is under control.
  • Estimate compute and licensing cost for identity verification at expected and at peak load.

Session 2The data question everyone skips at the start of distributed ledger identity verification

  • Assess the regulatory obligations distributed ledger identity verification triggers in each jurisdiction.
  • Agree the indicators that will show whether identity verification is improving.
  • Build the internal briefing that explains distributed ledger identity verification to those affected.
  • Agree who is on call for identity verification outside working hours.
04

Identity verification: vendor selection and avoiding lock-in

2 sessions · 8 points

Session 1Who owns identity verification once the project team disbands

  • Set out the decisions in distributed ledger identity verification that require sign-off and by whom.
  • Assign responsibility for keeping documentation of identity verification current.
  • Remove steps in distributed ledger identity verification that add effort without adding assurance.
  • Identify every system identity verification must read from or write to.

Session 2Proving identity verification paid for itself

  • Test distributed ledger identity verification against edge cases drawn from real historical records.
  • Decide which legacy process identity verification retires, and set the date.
  • Design the pilot for distributed ledger identity verification so that a negative result is still useful.
  • Reduce the variation in how identity verification is carried out between teams.

Choose the package that suits you

Silver Package

At least 3 people

USD1,250
  • Workshop or Program Participation
  • Airport Transfers
  • Customized Badge
  • Expert Mentorship (Private Sessions)
  • Supervision & Secretarial Services
  • Accredited Certificate of Participation
  • Complete Training Kit
  • Coffee Break
  • Closing Ceremony

Gold Package

At least 3 people

USD1,850
  • 5-night stay in a 5-star hotel
  • Workshop or Program Participation
  • Airport Transfers
  • Customized Badge
  • Expert Mentorship (Private Sessions)
  • Supervision & Secretarial Services
  • Accredited Certificate of Participation
  • Complete Training Kit
  • Coffee Break
  • Closing Ceremony

Complete your registration

We will contact you within one business day to confirm.

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