DigitalRoute

What's your take on AI monetization? With the proliferation of AI products/features being launched by software companies, how to monetize AI is the talk of the town. While there are a lot more ways, we've highlighted the pros and cons of three of them: traditional subscription(seat-based) ; usage-based; and outcome-based. We'd love to get hear your thoughts on which one you thing will become the dominant model in 2025. SUBSCRIPTION MODEL ? Pros: - Predictable Revenue: Ensures a steady and predictable revenue stream, making financial planning easier. - Lower Barrier to Entry: By spreading costs over time, customers may find it easier to start using your AI product. ? Cons: AI Adoption: Because the AI features are only a part of an all-you-can-eat buffet, it can be tricky to understand the real value and usage of AI. Ongoing Value Demand: Requires continuous product updates and support to maintain customer satisfaction. USAGE BASED MODEL ? Pros: - Alignment with Usage: Customers pay only for what they use, which can be an attractive proposition. Scalability: Easily scales with customer needs, catering to both small businesses and large enterprises. ? Cons: Revenue Uncertainty: Fluctuating usage patterns can lead to unpredictable revenue streams. Tracking Complexity: Implementing and maintaining accurate usage tracking systems can be both complex and costly. OUTCOME BASED MODEL ? Pros: Customer Alignment: Strongly aligns your interests with those of your customers, as they pay for achieved outcomes. High Perceived Value: Clear ROI can justify higher prices, potentially boosting revenue. ? Cons: Outcome Attribution: Quantifying and attributing outcomes directly to the AI product can be challenging. Revenue Delay: Payments are often delayed until outcomes are realized, impacting cash flow. Additional resources: If you want a more in-depth list of additional models, Kyle Poyar posted about it a few days ago: https://lnkd.in/dzXrz2x5 And if you want a more in-depth understanding of how a leading SaaS company is tackling AI monetization, we recently released a podcast episode about Freshworks' approach to it with Tapish K., available here: https://lnkd.in/dMXiZVxZ #AImonetization #usagebasedmodel #outcomebasedmodel #subscriptionmodel

?? ETL & iPaaS won’t scale usage-based models. ?? So, what will? Mediation. Join us on March 19th for a live webinar with Nicole Chandras (Enterprise Growth Expert) and Matias Karlsson ( AI Specialist and CTO) to discover: ? Why ETL & iPaaS fall short ? How mediation can solve your data challenges ? Tips to scale smarter Register now! Link in comments ??

Is your telecom infrastructure ready for the future? ?? This month’s Data for Subscriptions newsletter dives into: ?? VMs vs. Kubernetes – Can your mediation infrastructure keep up? ?? Customer Success – How one CPaaS provider simplified data complexity. ??? Podcast – The real monetization challenge? It’s all about customer value. ?? Quick Tip – A pro tip on AI-driven pricing transformation. Check out the full newsletter & susbscribe so you don't miss out! #Telecom #AI #DataMonetization #Newsletter

For years, virtual machine-based data mediation has been the go-to model for many operators—predictable, structured, and familiar. But as data mediation workloads become more dynamic and data-intensive, operators are rethinking how their infrastructure scales, enables automation and adapts. Key differences in deployment models: ?? VMs: Pre-allocated compute and storage, leading to potential idle capacity or over-provisioning. ?? Kubernetes: Dynamic scaling to meet real-time and batch processing demands—without over-allocating resources. Both deployment models have their place, but which one aligns with your data mediation workloads today—and in the future?? ? Developed in cooperation with AWS, our latest comparison guide helps telecom leaders evaluate the key trade-offs between VMs and Kubernetes for data mediation. Download it here: https://lnkd.in/grFyV8w4 ? AWS for Telecom AWS Partners ?#AWS #AWSforTelecom #AWSCloud #AWSPartners #CloudNative #DataMediation #Kubernetes #VirtualMachines #Scalability #Automation #BSSOSS?#UsageEnginePrivateEdition

???AI monetization is taking off—Is your usage data strategy built to scale? Join Nicole Chandras, Enterprise Director at DigitalRoute, and Matias Karlsson, CTO & AI specialist, for a live webinar as they break down: ? ETL vs. iPaaS vs. Mediation—which solution scales for consumption models? ? How to avoid the biggest data pitfalls ? Future-proofing your AI & usage-based business ?? Register now: https://lnkd.in/dWdgFfNz

Data-driven businesses can’t afford inefficiencies. As data volumes explode, challenges like rising costs, processing bottlenecks, and integration complexity slow down operations and eat into margins. Built on the strong foundation of versions 4.1 to 5.0, Usage Engine Private Edition 5 helps you efficiently scale batch workflows and optimize resource utilization, handling even greater data volumes without overhauling your infrastructure. Have a look at some of the highlights ? Process More with Less – Scalable Batch Workflows - Increase efficiency by parallelizing workloads with partition-based execution. - Reduce costs by minimizing idle infrastructure—scale dynamically within partition profiles to optimize resource efficiency. - Process high-volume workloads faster while maintaining exactly-once data accuracy. ? Unmatched Scalability & Performance – Revamped Kafka Integration - Improve high-volume data processing with multi-topic support, wildcard functionality, and enhanced workflow distribution - Ensure seamless scaling with automatic rebalancing and improved workflow distribution. - Reduce processing time with a fully refactored Kafka architecture, featuring new collector and forwarder agents for high throughput and efficiency. ? Seamless AWS Data Flow – Amazon SQS Integration - Enable seamless bidirectional messaging with Amazon SQS for improved AWS service integration. - Optimize workflows and improve operational efficiency with dedicated publisher and subscriber agents, ensuring reliable message handling within AWS environments. ? Faster Troubleshooting, Less Downtime – Enhanced System Observability - Proactively monitor workflows with real-time execution tracking. - Reduce issue resolution time with searchable, GUI-based log filtering. ? Eliminate Config Errors & Strengthen Compliance – Diff & Tracer Tools - Quickly identify, compare, and validate configurations with side-by-side version tracking. - Reduce risk and meet compliance requirements with audit trails and support for encrypted configurations after verification. ? Stronger Security, Reduced Risk – Google Secret Manager Integration - Eliminate manual secrets management with secure, environment-based credential storage. These are just a few of the innovations in Usage Engine Private Edition 5! Discover more features and see how Usage Engine Private Edition 5 is transforming data processing on our What's New page. https://lnkd.in/dX7hFnfA

Traditional probe-based service assurance is becoming unsustainable. Scaling network observability shouldn’t mean scaling costs. Operators are spending millions on hardware probes yet still struggle with real-time visibility and customer experience management. What if you could reduce probe dependency, cut costs, and gain real-time subscriber insights—all in one solution? At MWC Barcelona 2025, we’re discussing how DigitalRoute’s Network and Subscriber Trace Analysis (NSTA) helps telecom operators: ? Gain detailed, subscriber-level insights across RAN and Core ? Improve network observability without costly, hardware-dependent probes ? Proactively resolve service issues with real-time traceability and subscriber experience insights Join us at MWC to discuss how we can future proof your network observability and customer experience. Let’s connect! Book a meeting here: https://lnkd.in/dZp6uKuc #MWC25 #NetworkObservability #RealtimeInsights #CustomerExperience #ServiceAssurance #TelecomInnovation #MobileWorldCongress

On the latest episode of the Data for Subscriptions, we talk with Jeff MacMillan about Autodesk's Pricing Transformation over the years from perpetual licenses to their hybrid subscription approach, that includes a PAYG model, Autodesk Flex. One of the topics we tackled was what's next for Autodesk, and how their approach to the hot topic of the moment: AI monetization. If you want to listen to the full conversation, you can find the episode on your favorite podcast platforms like Apple Podcast or Spotify, or go to the link below. #dataforsubscriptions #aimonetization #hybridsubscriptions #payg #podcast

Transitioning to a consumption-based model brings challenges in revenue forecasting. But by analyzing usage patterns, leveraging AI for anomaly detection, and building predictive models, businesses can better manage these complexities and reduce churn.??? Tune in to our latest podcast with Karthik Kirubakaran, Director of Financial Services at 8X8, for insights on overcoming these hurdles. Link in comments. #RevenueForecasting #AI #ConsumptionBasedBusiness

Last week, DigitalRouters came together for our Company Kick-Off—high energy, big ideas ??, and great conversations! We celebrated 2024 wins, welcomed new Management Team members, and tackled our must-win battles for the year ahead. Huge thanks to everyone who contributed! Now, we carry that momentum into 2025—exciting things ahead! ??? Ari V?nttinen Demed L'Her Andreas Zartmann Per-Erik Johansson Hanne Engberg Emil Eriksson Kristine Andersen Richard Matti Shirley Johansson Mattias Nyblaeus #companyculture #kickoff #teamwork