Quarterly broadband metrics can show where the market ended up, but they can miss how quickly competitive momentum changed along the way. In our latest analysis, switching activity rose 17% in one two-week period: hubs.ly/Q04vQvSl0
Telecom operators are moving deeper into financial services, and MTN is taking that strategy further by exploring banking licences to expand lending. The move shows how telcos are increasingly looking beyond connectivity for growth. hubs.ly/Q04vQxs90
National broadband trends can hide where competition is actually building. Our latest analysis of 210 U.S. markets shows that local switching patterns can tell a very different story from national market share. hubs.ly/Q04vPWkH0
Building predictive models starts with the right data. Mobilewalla's sample datasets include consumer, device, behavioral, location, and household attributes designed for analytics, data enrichment, and machine learning. Download a sample: hubs.ly/Q04vQvvP0
Charter's Q2 results stood out against some of the broadband trends.Our latest analysis looks at how the competitive landscape across Charter's footprint, including the growing presence of regional fiber providers, may help explain some of the differences. hubs.ly/Q04vQBQj0
Telecom teams don't just need more data. They need answers grounded in the context of their market. Telescope combines telecom intelligence with agentic AI so teams can explore competitive questions in natural language. hubs.ly/Q04vQxkw0
Alternative data and AI are changing how lenders assess borrowers who fall outside traditional credit systems. IFC examines how these tools can expand access to finance while raising new questions around data governance and trust. hubs.ly/Q04vQxRy0
Xfinity's latest quarter looks different from the recent pattern of steady broadband losses. Our switching data shows its position has stabilized, with improving performance against fixed wireless even as regional fiber remains a challenge. hubs.ly/Q04vQyD10
Fintech's next wave of AI is moving beyond automation to intelligent agents. As adoption grows, governance and trust will be just as important as the technology itself. Worth a read. hubs.ly/Q04pZq5s0
Many AI projects focus on model performance, but better outcomes often start with better data. A well-structured data schema creates a stronger foundation for analytics, machine learning and predictive modeling. hubs.ly/Q04pZCrZ0
Agentic AI isn't just about smarter models. Success also depends on governance, data quality, observability and trust. This is a practical read for organizations moving from AI pilots to production. hubs.ly/Q04pZx2j0
AI delivers better outcomes when it understands the industry it's working in. In telecommunications, that means combining subscriber movement, pricing and competitive intelligence to answer complex business questions. hubs.ly/Q04pZwgJ0
Competitive markets don't change because of pricing alone. New offers, subscriber behaviour, and competitor strategy all shape market dynamics. Seeing these signals together provides a clearer view of what's driving change. hubs.ly/Q04n8XL-0
As AI adoption matures, the conversation is shifting from what AI *can* do to where it creates the most value. This Forbes perspective explores why Vertical AI is gaining momentum across financial services. hubs.ly/Q04pZxYH0
Subscriber growth rarely changes overnight. Switching activity provides an earlier view of where providers are gaining momentum and where competitors are losing ground. Learn more: hubs.ly/Q04pZsY20
Broadband competition is becoming more nuanced than a simple cable vs. fiber story. Our latest switching data shows regional providers like Metronet, Brightspeed and Vexus are gaining momentum alongside larger operators. hubs.ly/Q04pZyKl0
Pricing is only one part of the competitive picture. Regional offers, market positioning, and subscriber movement provide valuable context for understanding how telecom markets are evolving. Learn more: hubs.ly/Q04n9Zj00
Telecom providers have more data than ever, but data alone doesn't drive better decisions. Understanding subscriber movement, competitive activity, and market trends together provides the context needed to respond with confidence. hubs.ly/Q04nbSqB0
AI models are only as good as the data behind them. Well-structured, high-quality data improves analytics, machine learning, and predictive modelling. Explore Mobilewalla's data schema: hubs.ly/Q04n97lJ0
AI is reshaping lending, from underwriting to customer experience. This article explores how AI and private credit are influencing the next phase of competition in financial services. hubs.ly/Q04nbXxH0