AI4I Webinar Series (3) : Mobile Big Data Analytics – Technical Delivery & Adoption

AI4I Webinar Series (3) : Mobile Big Data Analytics – Technical Delivery & Adoption

Start: Thursday 27 August 2020 14:00

End: Thursday 27 August 2020 15:00

The third webinar in the AI4I webinar series; ‘Mobile Big Data Analytics – Technical Delivery & Adoption was held on Thursday 27th August. 

 

As COVID-19 continues to impact people around the world, governments are trying to protect lives whilst maintaining economic viability, and they are seeking innovative and dynamic solutions to make the right decisions at the right time. Mobile big data analytics can help inform decisions that can save lives and reduce the negative impacts experienced by communities.

In the video highlights of this webinar you will hear from experts on developing the infrastructure and knowledge to generate valuable analytics and tools from mobile big data solutions.

The session covered the following areas:

      • Technical process overview – the processing, analytics & packaging of data for insights
      • Types of mobile data and their uses
      • Supporting timely and informed decisions during COVID-19

The webinar provides a deep level of understanding for operators, governments and NGOs seeking to develop and adopt impactful mobile big data products and services to aid decision-making to combat COVID-19 and beyond.

 

GSMA AI for Impact (AI4I)

The GSMA AI for Impact (AI4I) accelerator programme brings together a Global Task Force of mobile operators and Advisory Panel members to explore, develop and scale mobile big data analytics and AI, to support the achievement of the UN Sustainable Development Goals.

The AI4I Webinar Series 2020

This webinar series provides a platform to learn about AI for Impact, and how mobile data analytics can be used to support decision making to combat COVID-19. Learn from experts on key topics, hear from mobile operator on examples of latest projects and find out more with practical GSMA tools and resources to empower and support government and operator collaboration.

For any questions, please email industrypurposeevents@gsma.com

Agenda
14.00

Introduction, and the relevance of Technical considerations when developing MBD analytics capabilities

14.05

Technical Considerations

14.25

MNO Perspective: Telia

14.40

Audience Q&A

14.55

Closing Remarks and Resources

Speakers

Robert Childs

Strategic Engagement Lead, AI for Impact, GSMA

Robert Childs

Rob Childs is the Strategic Engagement Lead for the AI for Impact initiative, at the GSMA, leading activity to develop and scale adoption of mobile big data analytics. Prior to joining the AI4I team Rob worked with a global focus on IoT technologies in Digital Health/mHealth, engaging with GSMA members and the broader ecosystem to accelerate the delivery of new connected devices and services addressing interoperability, regulatory issues and IoT security. Rob has supported numerous initiatives, such as the European Commission programme United4Health, ITU m-Powering Development mHealth working group and the Broadband Commission for Sustainable Development mHealth working group. Rob has also represented the GSMA as member of the EC eHealth Stakeholder Group.

Prior to joining the GSMA, Rob worked in the Pharmaceutical Industry specialising in Market Intelligence, Sales Strategy & Business Analysis, advising Pharmaceutical Companies across Europe on their sales and marketing implementation strategies.

Dr. Charlie Harrison

Technical Lead, AI4I, GSMA

Dr. Charlie Harrison

Kristofer Ågren

Head of Data Insights, Division X , Telia

Kristofer Ågren

Kristofer is an experienced leader and evangelist in the analytics space. Prior to joining Telia he held commercial, analytics & technology positions in various consulting houses, start-ups, scale-ups and corporates both in Europe and the US.

Artificial Intelligence has been a special interest, and has resulted in Kristofer taking part in and leading several deliveries in the AI area. Kristofer has over 20 years of experience of working with Technology and Analytics, and studied Computer Science and Electrical Engineering at universities in the US and Sweden.