Sign in to unlock valuable content and features from our AI-driven platform. Receive timely technology updates and the latest information from the solution providers who can help you realize your goals.
Start your journey by entering your name and email address below:
Please confirm your email address!
We are going to send a confirmation email to your email address to let you receive timely technology updates and the latest information from the solution providers who can help you realize your goals.
Is this you? Please confirm your name and email address below to receive the requested information.
Please check this box to confirm that you are opting-in to receive communications from Shelton Rhodes and the data sharing outlined in our privacy policy.
Initializing
Loading
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.
Please enter your information below to view this content:
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 Strategic Endeavor LLC
Strategic Endeavor, LLC, founded in 2013, is an emerging 8(A) and Service-Disabled Veteran Owned Small Business (SDVOSB) that specializes in providing management consulting, technology solutions, and administrative services to the Government and industry. Strategic Endeavor LLC is an approved Microsoft Cloud Provider and provides these services as an indirect seller in partnership with TD SYNNEX
SYNNEX Stellr Cloud Marketplace is a modern end-to-end solutions ecosystem that helps partners deliver more value to their customers. Strategic Endeavor LLC can leverage TD SYNNEX’s large number of state and local government and educational contracts and educational contracts-including NAPO ValuePoint and NCPA and NCPA directly on behalf of the manufacturers. Strategic Endeavor can also leverage TD SYNNEX GSA Schedule 58 and Schedule 70 to sell to the Federal government and its GSA Schedule SIN 511210 Software Publisher
Strategic Endeavor LLC provides the following Microsoft Solution
Microsoft 365
Helping customers build a modern workplace that allows them to work smarter and stay secure.
Sign in with LinkedIn