The Power of Gen AI and Business Intelligence

- Οργάνωση/ Διοίκηση/ Ηγεσία - Καινοτομία/ Start Ups - Πληροφορική - Χρήστες - Πληροφορική - Επαγγελματίες IT

03 Απρ 2025 09:00 03 Απρ 2025 16:45 KPMG (Λευκωσία)
Ελληνικά
6 ώρες ( 1 ημέρα )
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The Power of Gen AI and Business Intelligence

ΠΕΡΙΓΡΑΦΗ

In today's fast-paced business landscape, Generative Artificial Intelligence (Gen AI) technologies, such as ChatGPT, are transforming the way organisations streamline operations, enhance productivity, and innovate. This seminar will equip you with the skills to harness these transformative tools and keep your organisation at the forefront of innovation.

  • Develop a solid understanding of AI and Gen AI and discover how they can elevate your business strategies.
  • Explore the critical role of Business Intelligence (BI) in leveraging data for informed decisions that drive results.
  • Examine the evolving regulations on AI ethics, data privacy, and compliance, as AI is becoming integral to operations.

Join us to unlock the potential of AI in your business and establish yourself as a leader in this new era of technology! This seminar will provide actionable insights and best practices to help your organisation tackle these challenges with confidence. Don’t miss this opportunity to sharpen your skills and position your organisation for success in the AI-driven future.

ΣΚΟΠΟΣ ΣΕΜΙΝΑΡΙΟΥ

By the end of the training, participants will be able to:

  • Define the concept of data-driven decision-making and its significance in modern business.
  • Identify key data sources and Artificial Intelligence (AI) technologies, including Generative Artificial Intelligence (Gen AI), relevant to their organisations.
  • Explain the fundamentals of Artificial Intelligence (AI) and Generative Artificial Intelligence (Gen AI) technologies and prioritise various AI opportunities within their organisations.
  • Assess the applicability of Generative Artificial Intelligence (Gen AI) technologies in various use cases to enhance business processes and solve problems.
  • Develop effective business intelligence solutions using tools like Microsoft Power BI.
  • Evaluate and select appropriate data collection methods to support analytics initiatives.
  • Create data visualisations that effectively communicate insights to stakeholders.
  • Measure the success of data-driven initiatives using Key Performance Indicators (KPIs).
  • Apply concepts learned to Power BI projects, including importing, cleaning, modeling, and presenting data.
  • Perform Data Analysis Expressions (DAX) calculations to extract deeper insights from data and improve reporting capabilities.
  • Foster a culture of data-driven thinking and collaboration within their organisation.
  • Encourage knowledge sharing and continuous learning among team members.
  • Demonstrate adaptability and openness to emerging technologies, including Generative Artificial Intelligence (Gen AI).
  • Approach challenges with resilience and a proactive problem-solving mindset.
  • Recognise the value of Power BI and its role in enhancing data analysis.
  • Embrace and apply relevant Artificial Intelligence (AI) and Generative Artificial Intelligence (Gen AI) technologies to support daily activities and improve task completion.
  • Collaborate effectively in addressing specific organisational challenges related to AI, Generative AI, and data analytics. 

ΣΕ ΠΟΙΟΥΣ ΑΠΕΥΘΥΝΕΤΑΙ

This training is addressed to:

  • Company Owners and C-Suite Executives (CEOs, CFOs, COOs, CIOs, CTOs, CCOs)
  • Heads of Data & Analytics and Heads of Innovation
  • Operations Managers and Customer Service Managers
  • Product Managers and Strategy Managers
  • IT Professionals
  • Data and Business Analysts
  • Marketing Professionals and Sales Professionals
  • Other professionals interested in learning the fundamentals of Artificial Intelligence (AI), Generative Artificial Intelligence (Gen AI) and Business Intelligence (BI).

ΠΕΡΙΣΣΟΤΕΡΕΣ ΠΛΗΡΟΦΟΡΙΕΣ

Agenda

1. Introduction to Artificial Intelligence (15 mins)

  • What is Artificial Intelligence (AI)?
  • The Importance of Artificial Intelligence (AI) in Business

2. Machine Learning and Natural Language Processing (50 mins)

  • What is Machine Learning (ML)?
  • Supervised VS Unsupervised Learning
  • Data-driven approach (Data Collection, Data Preparation, Feature Engineering, Model Training, Model Evaluation)
  • Real-world use cases of Machine Learning (ML)
  • What is Natural Language Processing (NLP)?
  • How Natural Language Processing (NLP) works
  • Real-world use cases of Natural Language Processing (NLP)

3. Generative Artificial Intelligence (Gen AI) ( 1hr & 20 mins)

  • What is Generative Artificial Intelligence (Gen AI)?
  • How Generative Artificial Intelligence (Gen AI) works
  • How Generative Artificial Intelligence (Gen AI) can help industries
  • Potential risks of using Generative Artificial Intelligence (Gen AI)
  • Generative Artificial Intelligence (Gen AI) technologies today
  • How to securely integrate Generative Artificial Intelligence (Gen AI) models in industry

4. Ethical and other concerns of Artificial Intelligence (15 mins)

  • Understanding the ethical concerns in Artificial Intelligence (AI)
  • Understanding the EU AI Act regulation
  • The importance of trust in Artificial Intelligence (AI) systems
  • Ethical guidelines and best practices

5. Key takeaways and discussion (10 mins)

  • Recap of key takeaways
  • Q&A

6. Connecting and Transforming Raw Data for Data Analysis (30 mins)

  • Introduction to data sources (e.g. historical data, Artificial Intelligence (AI) predictions, databases etc.)
  • Loading data into Power BI Desktop from an Excel file
  • Introduction - What is Power BI Query Editor
  • Data transformation and cleansing
  • Creating a Date table
  • Importing tables into Power BI Desktop

7. Creating a data model - Adding calculated fields with Data Analysis Expressions (DAX) (30 mins)

  • Available views in Power BI Desktop: Report view - Data view - Model view
  • Creating relationships between tables
  • Brief introduction to Data Analysis Expressions (DAX) language
  • Creating a table with all measurements
  • Power BI functions

8. Creating and designing interactive Power BI reports (1hr)

  • Explore Power BI Desktop Report View
  • Adding basic visuals to Power BI reports
  • Adding hierarchies
  • Formatting and filtering options
  • Artificial Intelligence Visualisations in Power BI

9. View content in Power BI Service as a business user (15 mins)

  • Explore Power BI Home and Navigation Pane
  • Search content
  • Find the report owner

10. Explore reports and dashboards in Power BI Service (40 mins)

  • Common tasks
  • View data
  • Filter data in reports
  • Export
  • Collaborate and share in Power BI

11. Q&A and Discussion (15 mins)
 



Training Services Include:

  • Handouts, including the hard copy presentation, examples, case studies, exercises, and additional notes if applicable.
  • Stationery, such as pads, pens, and files.
  • Drinks (coffee, tea, etc.), snacks and a buffet lunch.
  • A fully equipped training room.
  • Certificate of completion.
Πληροφορίες Εκπαιδευτή
Δάφνη Παπαϊωάννου - Senior Advisor, Technology Consulting, KPMG in Cyprus
Daphne is a Senior Advisor in the Technology Consulting department of KPMG in Cyprus. She is a member of the Digital Lighthouse and specialises in the Business Analytics stream. She holds a BSc in Management from Lancaster University and a Master’s degree in Management from the London School of Economics and Political Science, with a specialisation in Marketing and Business Analytics. She has over five years of professional experience and a strong background in business analysis, data anal...
Λούκας Πουής - Manager, Technology Consulting, KPMG in Cyprus
Loukas is a Manager in the Technology Consulting Department of KPMG in Cyprus. He is a member of the Lighthouse team and currently leads the Data Engineering and Architecture stream. He holds a BSc in Computer Science from the University of Cyprus and an MSc in Artificial Intelligence from the University of Edinburgh. He has over seven years of professional experience and specialises in designing, developing and deploying data-driven solutions across multiple sectors, including Aviation, Bank...
Μιχάλης Χρυσοστόμου - Senior Manager, Technology Consulting, KPMG in Cyprus
Michalis is a Senior Manager in the Technology Consulting Department of KPMG in Cyprus, having more than a decade of experience in the technology sector. His expertise focuses on product management, business analysis, and solution delivery. Michalis holds a BSc in Applied Informatics from the University of Macedonia and an MSc in Digital Media Production from Oxford Brookes University. He is currently pursuing an MSc in Artificial Intelligence at the University of Cyprus, showcasing his dedic...
Αναλυτικό Κόστος Σεμιναρίου

Για Δικαιούχους ΑνΑΔ

  • € 270.00
  • € 120.00
  • € 0.00
  • € 150.00
  • € 150.00

Για μη-Δικαιούχους ΑνΑΔ

  • € 270.00
  • € 0.00
  • € 51.30
  • € 270.00
  • € 321.30

Κοστολογικές Πληροφορίες

Discounts available 10% discount for more than two (3+) participants from the same company 10% discount for individuals/legal entities who/which register in more than two (3+) seminars during the same semester 10% discount for alumni members Last Date for 10% Early Bird Discount: 13/03/2025

ΠΡΟΓΡΑΜΜΑ ΣΕΜΙΝΑΡΙΟΥ

Πέμπτη - 03 Απρ 2025

Ώρα

09:00 - 16:45

ΕΚΠΑΙΔΕΥΤΗΣ:

Μιχάλης Χρυσοστόμου

Τοποθεσία:

KPMG (Λευκωσία)

Πέμπτη - 03 Απρ 2025

Ώρα

09:00 - 16:45

ΕΚΠΑΙΔΕΥΤΗΣ:

Λούκας Πουής

Τοποθεσία:

KPMG (Λευκωσία)

Πέμπτη - 03 Απρ 2025

Ώρα

09:00 - 16:45

ΕΚΠΑΙΔΕΥΤΗΣ:

Δάφνη Παπαϊωάννου

Τοποθεσία:

KPMG (Λευκωσία)

Εκδήλωση Ενδιαφέροντος : The Power of Gen AI and Business Intelligence

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