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An Intensive 5-Day Training Course

Leading with Analytics & Artificial Intelligence

Data Driven and Past Experience leadership

  • Format: Classroom
  • Duration: 5 days
  • Language: English

DATES

13 - 17 Nov 2023 Dubai US $ 5950 Enroll now
INTRODUCTION

In this era where massive amount of data are generated every day, business entails a systemic and scientific way of making good decisions. This highly participative training course on Leading with Analytics & Artificial Intelligence will help you to cultivate your own analytic and intelligent decisions. It will help you as well, to reason about high and low times in your business.

This training course seeks to provide you with skills such as data analytics, reasoning why some issues have taken place at work and predicting possible business turning points.

Participants attending this training course will develop the following competencies:

  • Apply Root cause Analysis driven by data
  • Build and choose the best recommending and customer segmentation systems
  • Transform silent data into visual meaningful KPIs
  • Understand the different promises of AI applications
  • Recognize the best scenarios when to apply AI algorithms
TRAINING OBJECTIVES

This Leading with Analytics & Artificial Intelligence  training course aims to enable participants to achieve the following objectives:

  • Techniques to discover turning points in business
  • Creating a rigid route from raw data into the vision and mission of the enterprise
  • Understand Data analytics techniques and goals
  • Understand the different AI means
  • Know when to apply each AI technique
  • Assess the readability of the enterprise to utilize AI techniques
WHO SHOULD ATTEND

This EuroMaTech training course is generally useful for business decision making and people who need to plan for the enterprise future, based on past and present data. The course will make the following personnel achieve maximum benefit:

  • CEO and board of directors
  • Quality assurances managers
  • Technical managers
  • Human resources managers
  • IT and Engineering Professionals
  • Finance sector professionals
  • Marketing and customer service sectors
TRAINING METHODOLOGY 

The Leading with Analytics & Artificial Intelligence training course will combine presentations with interactive practical exercises, supported by video materials, activities and case studies. Delegates will be encouraged to participate actively in relating the principles of Data analytics and AI to the particular needs of their workplace.

TRAINING SUMMARY

This Leading with Analytics & Artificial Intelligence training course covers essential skills such as Data Analytics and AI techniques, how to handle challenging situations and flexibility to make the right decisions. This allows your business to lead and maximize the experience gained from own-self and other mistakes. This course is crucial towards empowering enterprise members to quickly achieve organizational goals with minimum effort.

TRAINING OUTLINE
Day 1 - Making the Right Move
  • How does business move
  • Data driven decision making
  • Intelligent decision making
  • Data analytics and Machine Learning overview
  • Artificial Intelligence core concepts and Techniques
Day 2 - From business data to the enterprise goals
  • Data analysis to Visualise the present
  • Digging in past to Discover the turning points
  • Explaining why a particular event occurs
  • Predicting the business future
  • Choosing the best scenarios
  • Workshop I: KPIs using Excel
Day 3 - Machine learning Case studies
  • Machine Learning: customer segmentation
  • Machine Learning: recommendation systems
  • Machine Learning: reinforced learning
  • Machine Learning: basket analysis
  • Visualization with POWER BI
  • Workshop II Power BI
Day 4 - Thinking and Acting like Humans
  • Human vs machine intelligence
  • Artificial Neural Networks
  • Deep Learning
  • Fuzzy Logic Systems
  • Workshop III with Case studies
Day 5 - Thinking and Acting reasonably
  • Overview for Computer vision and intelligent agent
  • Optimizing using Genetic algorithms
  • Optimizing using swarm intelligence
  • Workshop IV with Case studies
  • Success factors for AI and data analytics projects
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