The data product challenge - Feeding AI with trusted, industrial-scale data

Which sites should you NOT upgrade? The next-G capital question network data can't answer.  
Operators should not only ask where to deploy next-G, but which sites to defer or exclude because they will not return the capital 
AI can only make that decision when a governed telco ontology - aligned with TM Forum ODA and SID - connects network, BSS/OSS, customer, product, revenue and cost-to-serve context into one model 
VIVA Bolivia will show how a real next-G evaluation changes when network-planning data is joined with commercial evidence, and what every operator should ask before approving its own build. 

Danielle Rios, CEO, Totogi 
Ryan Alvarez, CEO, VIVA Bolivia 
 

Beyond the Average: How Agentic AI turns customer sessions into the new network truth

• Customer experience as a competitive advantage: Superior customer experience and the ability to consistently deliver dependable outcomes can differentiate operators enabling guaranteed SLAs, premium services, and, with high NPS, the opportunity to win customers from competitors. 
• Why traditional assurance falls short: As networks evolve toward 5G-Advanced and 6G, optimizing services around aggregated network KPIs is no longer sufficient to sustain value creation or enable truly autonomous operations. 
• Outside-In Assurance: Customer session KPIs provide the missing link, shifting assurance from a network-centric to a customer-centric model and enabling the path toward L4 autonomous networks in 5G SA and future 6G. 

Vikram Seenappa, Director Packet Core 4G/5G Control Plane, AT&T 
Blanka Dalezman, Business Development Director, Cloud Software & Services, Ericsson Americas

Panel: Fix the data layer or fail at AI: What needs to change now? 
Despite major investment in AI, many operators still struggle to scale due to fragmented, inconsistent, and untrusted data. This panel explores what is really holding CSPs back - and what it takes to build data foundations that support AI-native operations at scale. 

• What ‘trusted data’ looks like in practice 
• Where fragmentation still breaks cross-domain orchestration 
• Who owns the data – and who is accountable for quality 
• What changes when data becomes a product, not an asset 

Satya Malkapurapu, Senior Data Engineering Executive, Verizon 
Bo Gu, Director of Data Science, AT&T
Rick Lievano, CTO, Telecommunications, Microsoft