90 posts tagged with "Consulting"

Data and AI create significant opportunities for growth, operational improvement, better decision-making and new client services. However, these opportunities also introduce risks that are different from, and often more complex than, those associated with traditional technology.

Leadership is not simply the ability to manage people, approve work, attend meetings, or communicate confidently. One of the most important responsibilities of a leader is to create direction.

Direction tells people what the organisation is trying to achieve, why the goal matters, which problems deserve attention, what should be done first, what should not be done, how success will be measured, and who is accountable for delivering the outcome.

Exceptional leaders do not simply wait for opportunities to appear in the sales pipeline. They identify important changes before the market fully understands them, define the problems clients will soon need to solve and build the capabilities required to lead the response.

One of the most important responsibilities of an Executive Data and AI Leader in a Big Four firm is to shape major client opportunities.

A Big Four firm should establish a regional Data & AI Centre of Excellence to coordinate how Data and AI transform internal operations, embed into client services, convert into scalable commercial propositions, and operate under trusted governance—without becoming a disconnected innovation laboratory.

Information security for AI should not exist as a pile of threat models, vendor questionnaires and one-off pen tests. ISO/IEC 27001 establishes an organisation-wide Information Security Management System—scope, policy, risk assessment, control selection, operation, audit, management review and continual improvement—so confidentiality, integrity and availability remain enforceable when models, retrieval systems, agents and suppliers change.

Most people do not fear “public speaking.” They fear status risk—looking foolish, blanking out, or being judged. That fear is ancient; the fix is modern and trainable: get out of your head, into structure, and into the other person.

This is the Governance article for applying the EU AI Act on live work. Use it as a working playbook: define the system, map roles, screen prohibitions, classify risk, build the control and evidence pack, then calendar the dates that bind you.

The OWASP Top 10 for LLM Applications is not a reading list. It is a release language: every generative-AI system that touches tools, retrieval, personal data or production users should map risks, implement controls, test them and accept residual risk before scale.

Enterprise delivery fails more often from unclear scope, uncontrolled change, and neglected stakeholders than from a missing tool. PMI’s PMBOK® Guide – Fifth Edition gives teams a shared vocabulary for those failures—and for preventing them.