INSPIRE Environmental uses Azure AI to improve efficiency and streamline data analysis to meet the pace of offshore wind development
NSPIRE Environmental (INSPIRE), is a Venterra Group company dedicated to monitoring seafloor health. Labor-intensive data collection and analysis was impacting the quality of their data and jeopardizing their long-standing reputation for delivering timely and reliable results.
Read their story for details on how INSPIRE used Microsoft Azure AI solutions to analyze complex ocean data more quickly and efficiently, lower costs and reduce turnaround times for clients.
Contact Andosi for more information on how Azure AI can streamline your transformation to the cloud.
How does INSPIRE Environmental utilize Azure AI?
INSPIRE Environmental employs Azure AI to automate the analysis of seafloor images, significantly improving efficiency and reducing turnaround times for clients. By using tools like Azure Custom Vision and Azure Machine Learning, they streamline the image annotation process, allowing their analysts to focus more on data interpretation rather than labor-intensive tasks.
What challenges did INSPIRE face before using Azure solutions?
Before adopting Azure solutions, INSPIRE faced challenges in processing and analyzing large volumes of complex ocean data. The growth in offshore wind projects increased the demand for timely data analysis, making their existing manual processes time-consuming and inefficient.
What impact has Azure AI had on INSPIRE's operations?
The integration of Azure AI has allowed INSPIRE to lower costs and improve processing times, enabling them to handle more projects per analyst. This transformation has led to faster delivery of data to clients, enhancing decision-making capabilities and supporting the completion of energy development projects while maintaining a focus on seafloor health.
INSPIRE Environmental uses Azure AI to improve efficiency and streamline data analysis to meet the pace of offshore wind development
published by Andosi
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