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The Next Big Leap in Asset Management Comes with Predictive Maintenance at Scale
Manufacturers that adopt advanced predictive maintenance (PdM) with AI and machine learning are able to more accurately identify possible issues sooner and fix them faster. However, PdM - which enables more comprehensive analysis of very large datasets - also comes with challenges like integration and finding the right expertise.
This whitepaper will tell you how to overcome these challenges and successfully deploy predictive maintenance in your enterprise.
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Predictive Maintenance (PdM) is a strategy that allows manufacturers to monitor and evaluate the condition of their assets to predict when maintenance should be performed. By utilizing advanced technologies like artificial intelligence (AI) and machine learning (ML), PdM can analyze large volumes of data to anticipate asset failures, helping manufacturers avoid unplanned downtime and reduce maintenance costs.
What are the challenges in implementing PdM?
Manufacturers often encounter several challenges when implementing PdM, including a skills gap due to retiring subject matter experts and the difficulty in attracting talent skilled in digital technologies. Additionally, integrating PdM applications with existing systems can be complex, as many manufacturers struggle to connect various asset management solutions effectively.
How can manufacturers scale their PdM initiatives?
To scale PdM initiatives, manufacturers should focus on automating the development and validation of machine learning algorithms. This can be achieved through analytics pipeline accelerators that allow non-data scientists to build models without extensive coding knowledge. Collaborating with analytics leaders who offer scalable solutions can also help manufacturers transition from pilot projects to full production more efficiently.
The Next Big Leap in Asset Management Comes with Predictive Maintenance at Scale
published by Vaz Global Technology
We are a technology solutions provider with expertise in a wide range of areas, including cloud migrations, database integration, data mining, call center and voice integration software, optimization, data lakes, and AI/machine learning. In addition, we specialize in cyber security and have strategic partnerships with Fortinet, Veeam, and CloudCheckr. Our team of experts is highly experienced in helping organizations migrate from on-premises systems to cloud-based environments, ensuring a smooth transition with minimal disruption to operations. We also offer comprehensive database integration and data mining services, enabling our clients to leverage their data for business insights and better decision-making. For call center and voice integration software, we offer Amazon Connect solutions, which enable organizations to streamline their customer service operations and improve customer satisfaction. Our optimization services focus on improving system performance and efficiency, while our data lakes and AI/machine learning services help organizations make the most of their data. We prioritize cyber security and offer comprehensive solutions to help organizations protect their data and systems from threats. Our strategic partnerships with Fortinet, Veeam, and CloudCheckr enable us to offer best-in-class solutions to our clients. In addition, we offer billing as a service to help organizations streamline their billing processes and improve accuracy. We also offer AWS SNS for Amber Alerts and automation for school systems, helping educational institutions stay connected with their students and communities. Finally, we provide event and student services, helping organizations plan and execute successful events while also providing comprehensive support for student needs. With our broad range of capabilities and expertise, we are committed to helping our clients achieve their technology goals and drive business success
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