Tupl automates engineering operations as network complexity soars
Founded in 2014, Tupl is based on the mathematical term tuple, meaning a type of ordered list, and has focused on AI-powered operational automation for telecommunications network operators.in a conversation with RCR Wireless News, CEO Petri Hautakangas made an important distinction between deriving insights from analytics and using those data-driven insights to make decisions. “Analysis he can slice it 100 ways,” he said. But “there can be too much noise. You have to make digital decisions.”
When it comes to communications AI products, Tupl offers products for customer care, engineering and operations. For the latter, Hautakangas said his Network is designed to reduce the time spent on manual tasks, such as performance monitoring, troubleshooting, cluster optimization, and iterative processes to fix problems, collaborating with network engineers. Explained through Advisor.
“Engineers, the bar is high for them. They are responsible for network activities,” he said. Hautakangas explained that as the workforce shrinks and professionals retire, network complexity increases, creating a “chicken-and-egg problem.” “This is a fruitful field that looks at automation engineering work in a radical way. We've seen a significant increase in interest in this network advisor field.”
Hautakangas emphasizes the need to co-create models with Tupl customers on how to tailor the solution to specific customer needs, including capturing organizational knowledge from network engineers and incorporating it into the decision-making engine. Did. “Even if he has the same KPIs, it's always customer-specific logic,” he said. “But the decision is different for each customer. They drive it.”
In a push to do this in a closed-loop manner, CEOs are ensuring that wireless performance issues are detected, the root cause is automatically detected, and the field is equipped with everything needed to resolve the issue. I gave an example of sending standardized information to operational staff. With just one touch. “It's going to take some time to go from open loop to closed loop,” he says. “But I don't see any resistance from engineers to moving to closed loop.”
In addition to the Network Advisor solution, Tupl also has automation tools for power savings, RF shaping, integrated performance management, and NOC automation. Regarding how carriers are directing spending on communications AI, Hautakangas said he is thinking less about budget and more about addressing pain points in a way that has a clear ROI. “All the costs should be paid within months by the savings, the efficiencies generated by the system,” he said. “In fact, we always challenge potential customers immediately after raising a problem…Let’s look at the numbers: How big is this problem? You can judge whether there is or not. Qualitative arguments don't work.”
Beyond telecommunications, Tupl provides services for agriculture, healthcare, industry and utilities, in some cases as a function of telecommunications. The big picture here is that carriers are working overtime to develop their enterprise business and the new revenue that comes with it. Hautakangas said Tupur recently made its first commercial deployment in Europe with a group of operators working on automating agricultural processes.
But regardless of the industry, “AI is a means to an end,” Hautakangas says. “Analyses and insights don't add much value. Value comes from going beyond that and making decisions.
