Strategic Intelligence: Leading with AI and Data Analytics - 15&17/04/2026 Σεμινάρια

Strategic Intelligence: Leading with AI and Data Analytics - 15&17/04/2026 

This 18-hour executive training program is designed for professionals who seek to unlock the strategic value of data and AI within their organizations. Participants will explore how AI-enhanced analytics transform traditional business intelligence into predictive and prescriptive insight, supporting faster, more informed decision-making. Through case studies, hands-on exercises and expert facilitation, the program equips participants with tools to assess data maturity, select suitable platforms, interpret AI-generated insights and lead analytics-driven initiatives. The training also emphasizes ethics, governance, and explainability in AI adoption. By the end of the course, participants will be able to design and communicate data strategies aligned with business goals, lead cross-functional collaboration, foster a culture of data-informed leadership and leverage analytics for growth, agility and competitive advantage.

In today’s data-rich but insight-poor business landscape, professionals face increasing pressure to make faster, more informed decisions while navigating complexity and risk. Traditional business intelligence tools no longer suffice to uncover the patterns, predictions and performance signals required at the executive level. At the same time, the adoption of AI-powered analytics demands a new level of data literacy, strategic alignment and ethical oversight—especially among decision-makers. Many organizations struggle to bridge the gap between data teams and leadership, resulting in missed opportunities, siloed insights and underused capabilities. This training addresses a critical need: to empower executives with the knowledge, tools and leadership mindset to guide AI-powered analytics initiatives strategically and responsibly. By equipping participants with the ability to interpret, challenge and champion data-driven insights, this program fosters an environment where analytics become a core pillar of strategic execution, innovation and long-term value creation.

 The Vital Importance Programs differ substantially from the standard training programs of HRDA, as they:

  • Are fully subsidized by HRDA, at no cost to your business (€1,800 subsidy).
  • Include four hours of consulting support at no charge, tailored to the needs of each business.
  • Focus on the implementation of innovations in Cypriot businesses.
  • Offer 18 Continuing Professional Development (CPD) units instead of the 14 offered by the standard programs, incorporating the 4 hours of consulting.

Seminar Details:

Dates: 15&17 April 2026

Time: 09:00-16:45

Delivery method: Online via Zoom

The four-hour personalized consulting session will be scheduled after the seminar, at a time convenient for each business.

The seminar provides 18 CPD units of Continuing Professional Development.


More information:

Registration Form: https://forms.gle/poUrSeP1CGZ1QZxa9

Phone: 96313950, 99477639

Email: marketing@grmseminars.com

Σε ποιούς
Απευθύνεται

This training program is designed for:

  1. C-Suite Executives and Senior Leaders
  2. Finance, Operations and Strategy Directors
  3. Business Unit Managers and Team Leaders, seeking to embed AI-enhanced analytics in their operational decisions.
  4. Digital Transformation and Innovation Officers
  5. Data Governance and Analytics Leaders, who supervise data strategy, reporting and insight generation
  6. Corporate Trainers
  7. Lawyers, Accountants, Auditors and Real Estate Agents handling large volumes of client, transactional or financial data
  8. Compliance and Risk Management Officers responsible for ensuring regulatory adherence, internal controls and governance frameworks.
  9. Managers, team leaders and Officers in financial, legal, fintech or corporate service firms who integrate AI and compliance intelligence into daily operations.
  10. Professionals in Banking, Investment, Insurance, Trust, Fiduciary and Corporate Services 
  11. Professionals conducting data analysis, online research and intelligence
Με την λήξη του προγράμματος,
οι συμμετέχοντες θα είναι ικανοί:

 

Knowledge Objectives

  1. Define AI-powered analytics and distinguish them from traditional BI and reporting systems.
  2. Explain how AI enhances predictive, prescriptive and real-time decision-making.
  3. Identify the strategic value of data analytics in different functions and across the business value chain.
  4. Define key concepts in data architecture, governance and platform integration (e.g., cloud, embedded ML).
  5. Recognize the role of data storytelling and AI-generated narratives in executive communication.
  6. Describe common AI tools and platforms (e.g., Tableau GPT, Power BI Copilot, AutoML) used in analytics.
  7. Explain predictive analytics and machine learning applications in forecasting and scenario planning.
  8. Identify the ethical risks and compliance considerations involved in AI-driven decision-making.
  9. Describe agile methodologies for AI deployment and how to manage analytics initiatives.
  10. Articulate the components of a data-literate culture and the conditions for internal data readiness.
  11. Summarize the process of aligning analytics strategy with business KPIs and stakeholder needs.

Skills Objectives

  1. Make informed decisions on using AI-powered analytics versus traditional BI based on business context and value.
  2. Use AI-driven tools to support executive-level decision-making through predictive and prescriptive insight.
  3. Analyze the business value chain to uncover areas where data analytics can create measurable strategic advantage.
  4. Assess the organization’s data infrastructure and governance readiness for AI-enabled analytics.
  5. Create AI-generated dashboards and data narratives tailored for board-level reporting.
  6. Apply the appropriate analytics tools for departmental or functional goals using value-impact criteria.
  7. Utilize forecasting and scenario planning techniques using AutoML or embedded AI tools.
  8. Detect ethical risks in AI-enabled data processes through structured evaluation and oversight.
  9. Design agile sprint cycles for analytics and AI-related projects.
  10. Create a roadmap to improve data literacy, collaboration and readiness across their teams.
  11. Develop a complete analytics strategy tied to KPIs, metrics and executive priorities.

Attitude Objectives

  1. Embrace data and AI as leadership tools for informed, future-ready decisions.
  2. Advocate for the ethical, secure and transparent use of AI in analytics functions.
  3. Promote cross-functional collaboration between business and technical teams around shared data and insight objectives.
  4. Support continuous learning and experimentation in strategic analytics.
  5. Encourage organizational alignment around data-driven initiatives at scale.

Γίνετε μέλος στην ομάδα μας!

Με την εγγραφή σας θα λαμβάνετε emails με Ανακοινώσεις & Επικείμενα Σεμινάρια...