AI for Data Analytics and Business Intelligence

Start Date End Date Venue Fees (US $)
25 Jan 2026 Dubai, UAE $ 3,900 Register
17 May 2026 Kuala Lumpur, Malaysia $ 4,500 Register
20 Sept 2026 Doha, Qatar $ 4,500 Register
25 Oct 2026 Riyadh, KSA $ 3,900 Register

AI for Data Analytics and Business Intelligence

Introduction

Artificial Intelligence (AI) has become a game-changer in the world of Data Analytics and Business Intelligence (BI), redefining how organisations collect, analyse, and interpret data to make informed decisions. By integrating AI with analytics and BI systems, companies can uncover hidden patterns, generate accurate forecasts, and gain real-time visibility into business performance. This AI Data Analytics is designed to help professionals understand how to harness AI-powered tools and techniques to transform raw data into actionable insights. Participants will explore how machine learning, natural language processing, and predictive modelling enhance business decision-making and operational efficiency. The course provides a comprehensive learning experience, combining technical knowledge with strategic thinking to enable professionals to extract value from data effectively. By mastering AI-driven analytics, participants will develop the skills required to support innovation, optimise processes, and strengthen organisational competitiveness.

Key highlights of this AI Business Intelligence Course include:

  • Exploring essential AI technologies for data analytics and BI
  • Applying advanced predictive and prescriptive analytical techniques
  • Leveraging AI for real-time, data-driven decision-making
  • Enhancing storytelling and visualisation through AI tools
  • Implementing practical AI strategies to support business growth

Objectives

    By the end of this AI Data Analytics and Business Intelligence course, participants will be able to:

    • Understand how AI enhances data analytics and business intelligence systems
    • Apply AI tools for advanced data processing, modelling, and visualisation
    • Build predictive and prescriptive models to forecast business outcomes
    • Design AI-powered dashboards for strategic and real-time decision support
    • Implement AI frameworks that enable continuous improvement and agility in BI

Training Methodology

This AI Data Analytics Course uses a balanced and practical learning approach that combines interactive lectures, real-world case studies, and guided exercises. Participants will apply analytical techniques using AI-based tools and platforms, learning through demonstrations and collaborative group activities. The methodology ensures a blend of conceptual understanding and hands-on application, empowering participants to immediately apply AI and BI practices within their organisations.

Who Should Attend?

This AI Business Intelligence Course is ideal for professionals seeking to leverage AI capabilities to strengthen their data analytics functions and enhance strategic decision-making. It is particularly suitable for:

  • Data Analysts and BI Specialists – Applying AI for advanced analytical efficiency
  • Data Scientists and IT Professionals – Integrating AI with analytics infrastructure
  • Business Strategists and Decision-Makers – Using AI insights to shape business direction
  • Project Managers and Team Leaders – Managing data-driven transformation initiatives
  • Digital Transformation Professionals – Embedding AI in business analytics strategies

Participants from diverse industries will benefit by gaining a competitive edge in transforming data into impactful business intelligence using AI-driven technologies.

Course Outline

The AI for Data Analytics and Business Intelligence training course equips participants with the skills and knowledge to lead data-driven transformation within their organisations. By integrating AI with analytics and BI frameworks, professionals can achieve higher precision, efficiency, and innovation in business decision-making.

Participants will learn to:

  • Enhance analytical accuracy and predictive capabilities using AI models
  • Improve operational efficiency and strategic planning through automation
  • Strengthen decision-making with AI-powered dashboards and insights
  • Utilise advanced data visualisation for clear, actionable intelligence
  • Anticipate trends and respond proactively to market shifts
  • Achieve greater ROI through optimised analytics workflows
  • Advance their professional capabilities in AI-driven data management

Accreditation

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