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Nov 06
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Showing of Streams
11:00 - 11:40

Coffee & VIP Speed Networking

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Showing of Streams
13:10 - 14:10
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Networking Lunch, Hosted Lunch Tables & Exhibition Visit

Round table 1: GDPR: How to Avoid Fines & Promote Organisational Transformation

Round table 2: Analytics to Help Guide Capacity Planning

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Showing of Streams
15:20 - 16:00

Coffee, Networking & Exhibition Visit

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Showing of Streams
Showing of Streams
09:00 - 09:05 5 mins
PLENARY KEYNOTES
Chairperson’s Opening Remarks
  • James Crawshaw - Senior Analyst, Heavy Reading
09:05 - 09:25 20 mins
Info
PLENARY KEYNOTES
Keynote: Why and How Are We Able to Achieve Algorithmic Transparency?
  • Susan Wegner - VP Data, Artificial Intelligence and Governance, Deutsche Telekom


  • Currently many Digital Transformation topics, e.g. Artificial Intelligence, Machine Learning, Blockchain are heavily discussed. One of the reasons is that for non- expert in the companies the technological approaches are unclear and non transparent. Therefore the results are often not accepted and implemented and new business opportunities cannot be achieved.
  • The presentation will give an overview about possible approaches and concrete successful examples to provide more Algorithmic Transparency.
  • Followed by a deep dive of a current use case.
  • Moreover the additional challenges with regards to data governance, culture, analytical scalability and business impact will be described.

09:25 - 09:40 15 mins
Info
PLENARY KEYNOTES
Fireside Chat: Introducing Data-Driven Predictive Models to The Entire Customer Lifecycle
  • How AI and ML will enable operators to vie for customer loyalty
  • Introducing the benefits of prescriptive analytics
  • Introducing AI and ML later in customer lifecycles
09:40 - 10:00 20 mins
Info
PLENARY KEYNOTES
Keynote: Data as the Force of Change
  • Natali Delic - CTIO and Senior Transformation Director, Vip mobile and A1 Slovenia, A1 Telekom Austria Group
  • How data (science) is changing telco organizations in terms of:
    • Skills of the workforce
    • The way we work
    • Business processes
    • Customer experience management
    • Decision making on all levels in the telco organization
  • Network automation and customer experience management implemented by Vip mobile (part of Telecom Austria Group)
10:00 - 10:20 20 mins
Info
PLENARY KEYNOTES
Keynote: The Promise of AI and Its Impact on the Telecom Value Chain
  • Ramazan Demir - Chief Digital and Cyber-Security Products Development Officer, Türk Telekom
  • Looking at AI implementation as a process
  • Ensuring openness for AI adoption
  • Advocating the benefits of data sharing
  • Promoting the potential of AI to:
    • Simplify complex operations
    • Solve intricate issues by enabling predictive models and root cause analysis
  • Conveying how AI will augment capabilities and not replace human labour
10:20 - 10:40 20 mins
Info
PLENARY KEYNOTES
Pharma Keynote: Can We Realise a Human-Centric AI Model?
  • Jayshree Kottapalli - Senior Director, Digital, Data and Analytics, GSK
  • Enhancing the human factor in relation to the role of AI in modern organisations
  • Using AI to eliminate human error whilst enhancing the role of humans to control AI-induced decisions
  • Striking the right balance between modernity and human workforce relevancy
10:40 - 11:00 20 mins
PLENARY KEYNOTES
Automated Machine Learning for Predictive Modeling
11:00 - 11:40 40 mins
Coffee & VIP Speed Networking
11:40 - 12:00 20 mins
Info
ADVANCED ANALYTICS & AI FOR NETWORK OPERATIONS
Keynote: Creating a Specialized AI-Assisted Network Operating System With Integrated Big Data Analytics, ML & Virtualization Capabilities
  • Juan Manuel Caro Bernat - Director of Operations & Customer Experience, Telefónica
  • Delivering automated detection of issues on the network
  • Troubleshooting network issues
  • Optimizing network performance
  • Measuring the quality of the network by utilising real-time analysis of performance
11:40 - 12:00 20 mins
Info
AI TO SERVE COMMERCIAL INTERESTS
Keynote: Increasing Operational Efficiency of Analytics Teams & Identifying New Revenue Streams
  • Edward Gerges - Director, Analytics Insight, STC
  • The challenge of integrating AI and ML to existing operations
  • The cost saving benefits of implementing new AI and ML approaches
  • Changing operator organisational models
  • Accelerating analytics to provide additional revenue streams
12:00 - 12:20 20 mins
ADVANCED ANALYTICS & AI FOR NETWORK OPERATIONS
Keynote: AI/ML in Network Operations
  • George Iskenderian - Director, Big Data, Bell
12:00 - 12:30 30 mins
Info
AI TO SERVE COMMERCIAL INTERESTS
Panel Discussion: Advances in Data Monetisation
  • David Gonzalez - Chief Data Officer and Group Head of Big Data and AI, Vodafone Business
  • How will customers and CSPs derive value out of data?
  • The innovations data monetisation will spur
  • Turning data-generated insights into commercial success
  • The analytics required to manage large volumes of IoT data
12:20 - 12:50 30 mins
Info
ADVANCED ANALYTICS & AI FOR NETWORK OPERATIONS
Panel Discussion: Assessing New Advances in Heavy Network Traffic Prediction and Management
  • Moderator James Crawshaw - Senior Analyst, Heavy Reading
  • How AI can predict future network outages
  • AI to provide end-to-end network transparency and sophisticated rerouting of data flows to enhance real-time communications of traffic performance and reliability
12:30 - 12:50 20 mins
Info
AI TO SERVE COMMERCIAL INTERESTS
Implementing AI Powered Next Best Offer Programs: Challenges and Opportunities
  • Sarunas Chomentauskas - Founder and CEO, Exacaster
  • Elina Petrova - Director, Customer Experience, Vivacom
  • Key technical and organizational prerequisites worth considering  
  • Strategies to overcome data quality challenges
  • Household level next best offering - commercial do's and don’ts
12:50 - 13:10 20 mins
Info
ADVANCED ANALYTICS & AI FOR NETWORK OPERATIONS
Transforming the Edge With 5G and AI
  • The introduction of decentralised architectures enabling on-device AI processing
  • Assessing the benefits of on-device AI processing including:
    • Reduced latency
    • Reduced bandwidth pressures
    • Increased security
  • The role cloud and edge cloud will play in increasing AI processing
12:50 - 13:10 20 mins
Info
AI TO SERVE COMMERCIAL INTERESTS
Fireside Chat: Scaling ML Integrated Intelligent Process Automation
  • Hamish Tonkin - Head of Automation, Telefónica
  • Robotizing mundane tasks and cutting costs
  • Increasing efficiency by reducing human error
  • Enhance Customer Experience
  • How robotic process automation has evolved to intelligent process automation
13:10 - 14:10 60 mins
Info
Networking Lunch, Hosted Lunch Tables & Exhibition Visit

Round table 1: GDPR: How to Avoid Fines & Promote Organisational Transformation

Round table 2: Analytics to Help Guide Capacity Planning

14:10 - 14:40 30 mins
Info
ADVANCED ANALYTICS & AI FOR NETWORK OPERATIONS
Panel Discussion: Complimenting 5G: How Analytics and AI Can Benefit 5G


  • Analytics to be deployed for 5G network planning
  • Investing in database infrastructure to prepare for increased data traffic
  • Smart Massive MIMO
  • 5G smart slicing
  • Analytics to assess preparedness of network resources to deliver services
  • Real-time end-to-end visibility into next generation mobile performance
  • What new analytics strategies need to be created by the CSP community and are previous approaches rendered obsolete?
14:10 - 14:40 30 mins
Info
AI TO SERVE COMMERCIAL INTERESTS
Panel Discussion: Supporting Core IoT Applications
  • Building a complete end-to-end management of device, application, connectivity, service platform
  • The use-cases that combine of AI and IoT
  • Offering the ability to seamlessly identify patterns and detect anomalies in smart sensor and device generated data sets
  • How IoT will contribute to a data revolution
14:40 - 15:00 20 mins
ADVANCED ANALYTICS & AI FOR NETWORK OPERATIONS
Putting Intelligence to the Network Edge via NFV, Cloud Computing and Cognitive Features: The Transition From “SESAME” to the “5G ESSENCE” Context
  • Ioannis Chochliouros - Head of Research Programs Section, OTE
14:40 - 14:55 15 mins
AI TO SERVE COMMERCIAL INTERESTS
Fireside Chat: Turbocharging the Adoption of AI-Based Applications
  • Erol Hepsaydir - Head of RAN and Device Strategy and Architecture, Three.
14:55 - 15:15 20 mins
Info
AI TO SERVE COMMERCIAL INTERESTS
Exploring Turkcell’s AI Strategy
  • Tahsin Serkan Yaman - AI Engineer, Turkcell
  • AI applications in digital services of Turkcell
  • AI for Social Good
  • Natural Language Processing in different languages
15:00 - 15:20 20 mins
Info
ADVANCED ANALYTICS & AI FOR NETWORK OPERATIONS
Moving AI to the Edge of the Network to Support Latency-Sensitive Use Cases
  • Defining new edge computing models with AI elements to boost automation
  • Fashioning AI to be deeply personal and context aware to better decision support
15:20 - 16:00 40 mins
Coffee, Networking & Exhibition Visit
16:00 - 16:10 10 mins
Info
DRAGONS’ DEN
Pitch 1
16:10 - 16:20 10 mins
Info
DRAGONS’ DEN
Pitch 2
16:20 - 16:25 5 mins
DRAGONS’ DEN
Judges Feedback & Winner Announced
16:25 - 17:25 60 mins
Info
CLOSING KEYNOTES & AI-POWERED MARKETING STRATEGIES WORKSHOP
Closing Keynotes & AI-Powered Marketing Strategies Workshop

The advent of increasingly sophisticated AI-powered marketing techniques and approaches will transform the way marketers do their work. This workshop will provide marketing executives with the required tools and strategies to enable them to refocus their efforts to ensure new priorities are addressed and help them to address the new challenges that they will face in the coming years. We will explore best practice associated with AI-powered customer segmentation, consumer insights gathering, customer interactions as well as new marketing streamlining approaches.

17:25 - 17:45 20 mins
Info
CLOSING KEYNOTES & AI-POWERED MARKETING STRATEGIES WORKSHOP
Keynote: AI and the Future of Personalizing Telco
  • Jay Shah - Chief Data and Artificial Intelligence Officer, MyRepublic

The future of telecom is in its data. Telecom companies have access to more data per consumer than many of the major tech companies that we know today. If this is used in the right way, then you can think about how new revenue lines can be built. The future of the industry is not relying on existing revenue lines, it is thinking differently.