The problem, said Bayborodin, is that with construction there are seasons and start and stops to projects that inhibit the quality and quantity of the data in order to use AI effectively.
Blynk’ s platform, which collects structured timeseries data from sensors, is well-positioned for future implementation of machine learning for anomaly detection and predictive maintenance, such as identifying potential issues with equipment like cranes or concrete mixers based on vibration data.
Bayborodin envisions Blynk as potentially becoming an orchestrator, using data and machine learning to provide insights and automate actions, such as shutting off a valve upon detecting a significant water leak.
" Blynk isn’ t focused on AI buzzwords— we’ re focused on building the right data foundation through structured, real-time IoT data. That’ s what unlocks meaningful AI and predictive insights in the future," Bayborodin said.
Future Outlook
Looking ahead, Bayborodin said Blynk plans to deepen its understanding of customer needs in the construction sector through ongoing engagement and pilot projects. Key priorities include integrations with popular construction software like Autodesk and the development of industryspecific data visualizations.
Removing barriers to data flow between different platforms is another important goal.
" We bring deep IoT expertise and are continuing to learn from construction leaders through real-world deployments and pilots."
Bayborodin remains excited about the opportunities in the construction industry and believes Blynk’ s platform can bring significant value by providing a single source of truth for site monitoring, improving efficiency, reducing risks and enhancing safety.
As the construction industry increasingly recognizes the benefits of IoT, Blynk aims to be a leading provider of comprehensive and user-friendly monitoring solutions.
www. contractorshotline. com May 9, 2025 9