ΠΕΡΙΓΡΑΦΗ

This course explains how Internet of Things (IoT) devices and cloud platforms generate continuous, auditable data streams that finance professionals, accountants and auditors can use to improve oversight, evidence gathering and risk management.
The course demonstrates how common operational signals translate into measurable business and ESG indicators and describes how AI-enabled anomaly detection and alerts complement traditional checks.

Participants will learn how to interpret IoT outputs, assess data quality and privacy considerations, and present IoT-derived findings to stakeholders. Emphasis is placed on practical adoption, such as integrating sensor insights into existing audit procedures, without requiring IT or engineering expertise.

ΣΕ ΠΟΙΟΥΣ ΑΠΕΥΘΥΝΕΤΑΙ

Target Audience:

• Practicing finance professionals
• Accountants
• Internal auditors
• Compliance officers

Applicable Settings:

• Corporate environments
• Professional practice settings

Prerequisites:

• No prior knowledge required

ΠΕΡΙΣΣΟΤΕΡΕΣ ΠΛΗΡΟΦΟΡΙΕΣ

Seminar Outline

Introduction to the program

• Introduction between the instructor and participants
•  Icebreaker activity
• articipants' expectations
• Programme agenda, purpose and objectives

Session 1: Foundations of AI and IoT

• Overview of AI and IoT - addressing common misconceptions
• How the cloud enables data storage, scaling and data analytics
• Brainstorming: common sensor categories and what they measure

Session 2: What sensor data looks like

• Conceptual overview of typical metrics and dashboards.
• Discussion: which metrics matter most to finance/audit?

Session 3: Data quality, reliability and interpretation

• Common sensor pitfalls
• Simple validation/auditing checks
• Group discussion: red flags and confidence levels for evidence use

Session 4: Using IoT insights in audit, risk and ESG workflows

• How continuous monitoring complements periodic checks
• Mapping sensor outputs to risk registers, control testing and sustainability metrics
• Case study analysis: integrating an alert stream into an audit trail

Session 5: Vendor evaluation and procurement considerations

• Practical checklist items for:
  • Commercial proposals
  • Service levels
  • Data portability
  • Third-party risks
• Case study analysis: facilitated review of a sample vendor claim

Session 6: Data governance, privacy and compliance (GDPR-aware)

• Privacy matters in the context of IoT:
  • Privacy-by-design
  • Retention policies
  • Anonymisation
  • Basic contractual safeguards
• Group discussion: common compliance concerns

Session 7: Business case essentials and simple ROI logic

• How to frame costs and benefits in language senior stakeholders understand.
• Examples of measurable outcomes (reduced downtime, energy savings, reduced manual checks)
• Exercise: draft a simple, one-page business case

Session 8: Communicating findings and integrating into reporting

• How to present IoT-derived evidence to boards, audit committees and regulators
• Drafting concise narrative and KPI outputs for finance audiences

Programme Close

• Course Recap
• Q&A

Certification

All participants will be awarded a certificate. Each hour of attendance will account for one unit of Continuing Professional Development (CPD) as required for members of most professional bodies.