AI & Data Analytics Agenda

AI & Data Analytics Task Force Agenda
 Location: Royal Olympic Hotel, Athens, Greece, June 5-6, 2025

Day 1 (June 5, 2025)

08:00 – 09:00

Registrations in the Hotel Lobby

09:00 – 11:00

Olympia A + B
Underground (-1 Floor)

Keynote Session: How Resilient Telcos Leverage AI and Navigate New Markets to Create Value

Keynote 1: Welcome Speech - Wim De Meyer, ETIS Managing Director

Keynote 2: Building the Future: Collaboration and Innovation of Telecoms in a Transforming World 
- Pedro Gonçalves, MEO, ETIS Chairman

Keynote 3: No Power, No Problem: How to Keep the Network Operational During Blackouts  
- Markus Lyyra & Ville Vare, Elisa DES

Keynote 4: Secure, Aware, Resilient: Driving a Strong Security Culture 
- Ulrich ten Eikelder, Deutsche Telekom & Marcus Beyer, Swisscom

Keynote 5: Telco Security Landscape 2025 
- Richard Kerkdijk, TNO

Keynote 6: AI Makes Telcos Smart. But Are Telcos Smart About AI? - 
Thomas Kruger, BCG

 

Keynote 7: How to Thrive in Unthinkable Times: Change Your RULEs - Andrew Collinson, Connective Insight

 

Panel discussion to close the common session with.

11:00 – 11:30

Refreshment
Underground (-1 Floor)

Coffee Break

AI & DATA ANALYTICS BREAKOUT SESSION STARTS

11:30 – 13:00

Alexander room

Ground floor

Session 1: Company Updates

In this introductory session, each company is allocated 10 minutes to present:

  • an overview of their AI & data analytics departments,
  • its objectives,
  • recent challenges,
  • and expectations from this 2 days-long meeting.

13:00 – 14:00

Kallirhoe room

Ground Floor

Lunch Break

14:00 – 15:30

Alexander room

Ground floor

Session 2: AI- and Data-Driven Customer Experience

Theme: Enhancing customer experience through data & ML/AI-driven strategies.

 

Closing the first day, we will listen to some presentations about: 

  • How to use available telco data to improve customer experience and increase customer satisfaction?
  • How to optimise sales channels and offering change by using ML/AI and data analytics?
  • How to use data to predict and prevent customer churn?
  • How can we uses ML/AI to create dynamic content?

Presentations:

  • Churn prediction, prevention, and customer segmentation based on ML by Swisscom
  • Empowering the Front Office: Leveraging Data-Driven Customer Cards by Tet
  • Building Intelligent Ecosystems: The AI Revolution in Collaboration by MEO

15:30 – 16:00

Refreshment
Underground (-1 Floor)

Coffee Break

16:00 – 17:00

Alexander room

Ground floor

Session 3: Data Analysis and Interpretation

Theme: Efficient and beneficial use of telco data.


AI is only as smart as the data it is receiving. How can telcos analyse and interpret available data to unleash its full potential?

 

Potential presenters could discuss:

  • What kind of data is informative and relevant for telcos? How does it serve the projected business goals?
  • How to organise data management to improve data quality and efficient governance? What are the common challenges?
  • How to train AI to increase the benefit gained from telco data?

Open discussion led by LMT on questions such as:

  • How to organise data management to improve data quality and efficient governance?
  • What are the common challenges?

Presentation:

  • LLM-based call - transcript analysis by Swisscom

17:00 – 17:30

Alexander room

Ground floor

Session 4: Structuring Organisational Knowledge for the LLM-era

Theme: How to prepare internal documentation, processes, and data to be LLM-ready for retrieval-augmented generation (RAG), copilots, and AI agents.

 

We would like to organise a short roundtable. We kindly ask each participant to prepare, and be ready to answer questions such as:

  • In your experience, how do you turn scattered, unstructured content into usable, high-quality knowledge bases?
  • Who owns and maintains knowledge assets in an AI-first organisation?
  • What standards or practices make documents “LLM-friendly” (e.g., semantic structure, version control, metadata)?

Discussion led by Proximus Group

18:15 – 20:00

Sightseeing activity – Meeting point: Hotel Lobby

20:00 – 22:00

Community Dinner - Rooftop restaurant,
Hotel Royal Olympic

AI & Data Analytics Task Force Agenda
 Location: Royal Olympic Hotel, Athens, Greece, June 5-6, 2025

Day 2 (June 6, 2025)

09:00 – 10:30

Olympia 1

-1 floor (underground)

Access through the keynote session room

Session 5: AI & Privacy - Innovation Coupled with Compliance

Theme: Defining AI and data governance models that balance compliance and ethics with innovation.
Joint session with the Data Privacy Working Group

 

We invite presenters to talk about some of these suggested topics:

  • Privacy compliance: aligning data management and AI systems with GDPR, the AI Act, and other privacy regulations,
  • Responsible AI adoption: defining responsibilities between departments and functions, auditing AI models, and ensuring transparency,
  • Training & Awareness: Educating employees on the ethical use of AI and Big Data.

Presentations:

  • Our AI learning journey by A1 Telekom Austria
  • Employee Training & Awareness – Educating employees on AI privacy risks, ethical AI use, and compliance best practices, by Julija Valpetere, Tet 

  • Employee Training & Awareness – Educating employees on AI privacy risks, ethical AI use, and compliance best practices, by Elisabeth De Maesschalck and Thomas Bronselaer, Telenet

11:00 – 11:30

Refreshment
Underground (-1 Floor)

Coffee Break

11:00 – 12:30

Panorama room

6th floor

Session 6: AI Use Cases & Real-World Applications in Telecom

Theme: Practical AI implementations for operational efficiency and new revenue streams.
Joint session with the Digital Telco Strategy Forum and the Network & IT Transformation working groups.

We invite presenters to introduce the AI applications they are working on that serves the company’s business goals, be it in the realm of customer service automation, network optimisation, or fraud detection, to name a few. We welcome presenters who bring not just success stories but also challenging journeys that other operators can learn from.

 

Presentations:

  • TeBIT 2024 Benchmark results by Thomas “Tom” Krueger, BCG
  • Business efficiency using AI by A1 Telekom Austria
  • AI-based solutions for efficient internal and customer interactions by Swisscom
  • GenAI retrieval chatbot, Hekabot by MEO
  • An AI approach to CX measurement - QES© - Quality of Experience Score by FTI Delta

12:30 – 13:30

Kallirhoe room

Ground floor

Lunch Break

13:30 – 14:30

Panorama room

6th floor

Session 7: Integration at Scale: Agentic AI, Automation

Theme: Engagement and testing new projects related to Agentic AI.
Joint session with the Digital Telco Strategy Forum and the Network & IT Transformation working groups.

 

We invite participants to present on:

  • How can Agentic AI help improving customer operations?
  • How are companies engaging with AI agents? Are there any use cases out there?
  • What are the challenges that arise with the deployment of AI agents?

Presentations:

  • ixi-O, the LG Uplus AI call agent by Jerry Jae Yeol Kim, LG U+
  • Digital energy management: automation and integration at scale by Companion.Energy
  • Agentic AI Teams - the leading edge of AI by Andrew Collinson, Connective Insight

14:30 – 15:30

Panorama room

6th floor

Session 8: From Pilots to Scaled Impact of AI

Theme: Moving from scattered experiments to enterprise-wide AI strategies.
Joint session with the Digital Telco Strategy Forum and the Network & IT Transformation working groups.

 

In this session, we invite presenters to introduce their company’s journey from the definition of a business problem and the conception of an AI solution, all the way to the wide deployment of an AI system. Presenters could explore:

  • How do you define and prioritise high-impact AI use cases?
  • What does a roadmap look like from proof-of-concept to scaled implementation?

Presentations:

  • AI Roadmapping and Projectisation by Proximus Ada
  • Impact of the rise of AI in Telcos - New revenue opportunities and disruption the core business by FTI Delta
  • Prioritising AI opportunities in telecoms by Andrew Collinson, Connective Insight

15:30 – 16:00

Conference room 3B

3rd floor

Closing Session

Closing session to share your feedback about the event and discuss what topics should be addressed at future ETIS AI & Data Analytics Task Force events.

16:00 – 17:00

Farewell Reception for all attendees in the Foyer

Event Context and Expectations

This workshop is a collaborative knowledge-sharing event, where success relies on active preparation and engagement from all participants.

  • Each company must prepare at least one 10-20 minute presentation relevant to one of the main sessions.

  • Topic selection confirmation with the organiser by May 5th and final presentation submission by May 30th.

Event Sponsorship and Participation

This event is fully sponsored by ETIS and its partners, covering all meals, coffee breaks, the guided tour, and the farewell reception. Participation is free of charge.

Participation is open exclusively to ETIS member companies, and attendees are expected to actively contribute to discussions and presentations.

Registration and Support

If you have not yet registered for the event, or if other colleagues from your organization wish to register, please visit the website: HERE

For any questions, requests, or support, please do not hesitate to reach out to the organiser:

ETIS Central Office

Konrad Ferenczy, kf@etis.org

Hotel Layout