Intelligence Today: The ChatGPT, Gen AI & BI Era

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. 

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).

All participants should be currently employed.

*The number of participants is restricted to 28.

 

1. Introduction to Artificial Intelligence (15 min)

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

2. Machine Learning and Natural Language Processing (1 h & 10 min)

• 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) (1 h & 20 min)

• What is Gen AI
• How Gen AI works
• How Gen AI can help organisations
• Gen AI technologies today
• What is ChatGPT
• ChatGPT’s reasoning and configurations
• ChatGPT vs. ChatGPT Enterprise
• How to become an expert in prompting
• Practical Gen AI use cases

4. Ethical and other concerns of Generative Artificial Intelligence (30 min)

• Common concerns around Gen AI
• Understanding the risks and limitations of using Gen AI
• Understanding the EU AI Act regulation
• Responsible AI: ethical guidelines and best practices

5. Key takeaways and discussion (15 min)

• Recap of key takeaways
• Q&A

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

• Introduction to data sources available in Power BI
• Loading data into Power BI Desktop from an Excel file
• Introduction - What is Power BI Query Editor
• Data transformation and cleansing
• Data quality checks
• Creating a Date table
• Importing tables into Power BI Desktop

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

• 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 (1 h)

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

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

• Explore Power BI Home and Navigation Pane
• Search content
•  Identify the report owner
• Perform common tasks
• Export data or report pages to Excel or PDF for offline use.
• Collaborate and share 

10. Q&A and Discussion (15 min)
 

Our 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.

If you wish to register for the seminar, please complete the registration form.

Once your registration is submitted, you will receive an email stating how to proceed with your HRDA registration through the Ermis platform. Upon completion of this step, you will receive a confirmation email which will include the participation fee, including any discounts, if applicable. Kindly note that the payment should be settled at least two days prior to the seminar’s date for your registration to be confirmed.

The programme has been approved by the HRDA. Enterprises participating with their employees who satisfy HRDA’s criteria, are entitled to subsidy. Please note that there are limited seats available, therefore enroll in this seminar as soon as possible.

If you do not receive our confirmation e-mail regarding your registration, your participation cannot be guaranteed.

Cost

€270 + VAT (19%) for all participants who are non-eligible for the HRDA subsidy.

€150 net investment after the HRDA subsidy (€120) for all eligible participants.

Last Date for 10% Early Bird Discount: 4/11/2025

Extra discounts may apply to the initial price, before the VAT and HRDA subsidy. Please view options below.

 

Note

We do not provide a soft copy of the presentation for face-to-face seminars. However, if you would like to request one, please contact us. We may be able to provide it, subject to approval. In this case, the cost of the soft copy will be €50 for participants who have already attended the relevant training, or €100 for those who have not.

 

HRDA Note

All individuals who wish to attend our HRDA approved training courses should not only fill out our registration form, but also complete the registration process through the ERMIS platform. Regardless of whether they are claiming the HRDA subsidy or not, each participant will need to complete their registration through ERMIS as a physical person and then register to our training in order to be able to attend (either as an employee whose company is claiming the subsidy or as an individual who is not claiming the subsidy). Please reach out to the HRDA Ermis officers on 22 390 300 for more details regarding the registration as a physical person.


Discounts available

• For more than two (3+) participants from the same company a 10% discount is available on the total cost, before the VAT and HRDA subsidy. This discount only applies for participants who enroll in the same seminar, on the same day. This discount can only be combined with the early bird discount and the HRDA subsidy, when applicable.
• For individuals/legal entities who/which register in more than two (3+) seminars during the same semester (January-June & July-December), a 10% discount is available on the total cost, before the VAT and HRDA subsidy. This discount only applies to one of the seminars for individuals/legal entities who/which enroll in more than two (3+) seminars during the same semester, on the same day. This discount can only be combined with the early bird discount and the HRDA subsidy, when applicable.
• There is a 10% discount for alumni members. This discount should be applied before the VAT and HRDA subsidy and can only be combined with the early bird discount and the HRDA subsidy, when applicable. For more information on our alumni scheme, click here.
• There is a 10% early bird discount on selected seminars for participants who enroll in a training course until a specific date which is stated above. This discount should be applied before the VAT and HRDA subsidy and can only be combined with the HRDA subsidy, when applicable.
• HRDA subsidy for all HRDA approved seminars.
• Please note that while participants may qualify for multiple discounts, a maximum of two discounts, up to a total of 20%, can be applied per registration.

Contact

For any queries, please contact KPMG Academy on +357 22 207 460 or at academy@kpmg.com.cy

 

CPD

This seminar may contribute to Continuing Professional Development requirements. At the end of the seminar participants will be given a certificate of attendance confirming the total number of training hours (6 CPD).

Kyriaki Pilia
Principal, Technology Consulting, KPMG in Cyprus 

Kyriaki is a Principal in the Technology Consulting Department at KPMG in Cyprus. She brings over 20 years of international experience in financial services and technology, with deep expertise in risk management, data governance, analytics, and AI-powered transformation.

Kyriaki has successfully led complex cross-sector projects in banking, insurance, healthcare, energy, aviation, and environmental conservation. She has played a pivotal role in designing and implementing enterprise-level data strategies, cloud-based data warehouses, and machine learning–enabled decision frameworks. Her recent work includes the development of ecological monitoring frameworks using AI and the implementation of data governance programs aligned with global standards such as BCBS 239 and NDMO.

She has delivered advanced analytics and business intelligence solutions using tools like Power BI, while also advising on the secure and ethical integration of Generative AI technologies into operational environments. With strong technical and regulatory foundations, she has worked closely with C-level stakeholders to ensure that data-driven strategies support both innovation and compliance.

Kyriaki is passionate about knowledge sharing and has consistently developed and delivered training initiatives focused on data literacy, AI adoption, and modern BI practices. Her diverse experience, spanning from financial institutions in Silicon Valley to government clients across the Gulf region, equips her with a uniquely holistic view of how organisations can thrive in the Gen AI era.

Loukas Pouis 
Manager, Technology Consulting, KPMG in Cyprus

Loukas is a Manager in the Technology Consulting Department at KPMG in Cyprus and a member of the Lighthouse team, which is responsible for delivering data-driven and artificial intelligence initiatives. He holds a BSc in Computer Science from the University of Cyprus and an MSc in Artificial Intelligence from the University of Edinburgh.

With over 8 years of professional experience, Loukas specialises in designing, developing, and deploying innovative data-driven solutions across diverse sectors, including Aviation, Banking, Real Estate, Retail, and Telecommunications. He has extensive hands-on expertise in end-to-end digital solution design, data management and governance, machine learning and AI model development, and generative AI applications. His work focuses on helping organisations harness the power of AI to unlock value, drive efficiency, and enable digital transformation.
 

Maria Frantzeskou Apostolou
Assistant Manager, Technology Consulting, KPMG in Cyprus

Maria is an Assistant Manager in the Technology Consulting Department at KPMG in Cyprus and a member of the Lighthouse team, which is responsible for delivering data-driven and business intelligence initiatives. She holds a BSc in Mathematics and an MSc in Applied Mathematical Sciences, combining strong analytical foundations with practical expertise in business intelligence and data analytics.

Maria has extensive professional experience as a Data Analyst and specialises in delivering data-driven solutions using Power BI across multiple industries, including Banking, Insurance, Retail, Media, Telecommunications, and Aviation. She has deep hands-on knowledge of dashboard development, helping organisations transform complex datasets into actionable insights that support informed decision-making and operational efficiency. Maria has also designed and delivered numerous Power BI workshops for both KPMG staff and external clients, promoting data literacy and empowering users to work confidently with data. In addition, she has contributed to data governance initiatives and digital transformation projects, delivering innovative, high-impact solutions that support business growth and long-term value.