Generative AI, a subset of artificial intelligence, has the potential to revolutionize various industries, including telecommunications.

By leveraging the power of machine learning algorithms, Generative AI can enhance communication networks, improve customer experiences, and optimize network operations.

As TelecomsTV explores in this webinar panel, to become an AI-native telco requires a substantial transformation process, from strategic vision with the development of roadmaps to the creation of new partner ecosystems.

It could also require a rethink of today’s telecoms standards processes.

An industry-wide effort will be required for telcos to achieve large-scale AI deployments across their whole organisations. So what is the value proposition for telcos, what are the current best practices, and how can telcos leverage AI innovation to help their own operations and to benefit their customers?

Panel Speakers:

• Rhonda Holloway, Director of Network Automation Solution Marketing, Fujitsu.
• Beatriz Ortega, EMEA Telco Business Development Manager, Red Hat.
• Anshul Bhatt, Head of Symworld Solutions, Rakuten Symphony.
• Issam Toufik, Chief Technology Officer, ETSI.
• Aaron Boseman-Patel, Vice President of AI, Labs & Innovation, TM Forum.

Generative AI

Generative AI is a branch of AI that focuses on creating models capable of generating new content, such as images, text, or even music.

Unlike traditional AI models that rely on pre-existing data, generative models can generate new data based on patterns and examples provided during the training phase.

Enhanced Network Planning and Optimization

Generative AI can analyze large amounts of data to optimize network planning and design. By considering factors such as traffic patterns, user behavior, and network performance, Generative AI algorithms can generate optimized network configurations that improve coverage, capacity, and quality of service.

Intelligent Virtual Assistants

Generative AI can power intelligent virtual assistants that provide personalized customer support and assistance. These virtual assistants can understand natural language queries, provide accurate responses, and even perform tasks such as troubleshooting network issues or recommending suitable service plans.

Predictive Maintenance

Generative AI can analyze network data to predict potential failures or performance degradation. By detecting patterns and anomalies, it can proactively identify areas that require maintenance or upgrades, reducing downtime and improving overall network reliability.

Network Security

Generative AI can play a crucial role in enhancing network security. By analyzing network traffic data, it can identify and mitigate potential security threats, such as DDoS attacks or unauthorized access attempts. Additionally, Generative AI can continuously learn and adapt to new threats, making it an effective tool in combating evolving cybersecurity challenges.

Customer Experience Enhancement

Generative AI can analyze customer data, including preferences, usage patterns, and feedback, to personalize communication services. By understanding individual needs, Generative AI can recommend tailored service offerings, improve call quality, and provide targeted promotions, ultimately enhancing the overall customer experience.