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What will be the impact of SA 5G by 2025?
Join this session to learn about the work that Infovista has undertaken to support Japan’s newest mobile operator, Rakuten Mobile, in addressing challenges of rolling out advanced 5G networks, the increasingly critical role of planning applications, and the need for microservices based, horizontally scalable cloud-native architectures and interoperability across network lifecycle management applications.
5G opens up entirely new opportunities for telehealth, allowing patients to connect virtually with doctors and other healthcare providers, communicating in real-time video or live chat. This session will explore how 5G will support huge data files, real-time remote monitoring of patients, and innovations in medical device technology.
Private LTE/5G networks offer an interesting revenue growth opportunity for network operators and a new proposition for their IoT businesses. Operators are dependent on partnerships with vendors to deliver the infrastructure, but must exploit their own assets to maximise returns. They face significant competition from vendors, as well as from other companies in the value chain. Operators are carefully evaluating which strategies to adopt, how to adopt them and how to partner for success. What are the key trends in the private network market and what are the opportunities for operators?
These might be gaming or industrial use cases, or possibly things we’ve not even thought of yet! Did the pandemic do anything to speed up their adoption in industrial, health, consumer and enterprise markets?
An insight into how 5G is impacting lawful interception, and the challenges faced by intelligences agencies as they work with communication service providers to gather information, to safeguard society.
Is cloud native really the only path to enabling automation, orchestration, and AI?
Richard Benjamins, Chief AI & Data Strategist at Telefónica, talks to Annie Turner, Editor of Mobile Europe, about how Telefónica uses AI and how it will use it in future, and what lessons the company has learned. This includes organisational aspects – should AI live in the data organisation or elsewhere, and why – and the importance of a common data model. How do you choose AI and big data use cases? How easy is it to measure benefits, and is that an important factor? What principles should data strategy collection be built on and why? Ecosystems are key to 5G – what are the big areas around working with external partners regarding AI and being data driven?
And of course, attendees are encouraged to submit their own questions during the session.
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