An up to 50% improvement in production defect detection has been shown through predictive, digitally-based factory asset management in research conducted by IBM. As the true efficiencies of AI, IoT, 5G, edge computing, and other industry 4.0 technologies go mainstream and change conventional thinking, that number is set to grow even further.
Next-generation sensors and detection devices signal a move away from routine maintenance regimes to predictive, AI-powered processes that lift plant output, reduce spare parts inventory, and streamline asset management services.
Download this eBook to discover how to:
- Identify potential equipment problems early, and when they can be solved at the lowest possible cost in time and money
- Continuously monitor thousands of machines at multiple plants simultaneously
- Bring order and insight to the massive flow of digital information that next-gen sensors and defect detection devices generate
Provided by IBM
-
RSAC Conference 2025: The front line of cyber innovationITPro Podcast Ransomware, quantum computing, and an unsurprising focus on AI were highlights of this year's event
-
Anthropic CEO Dario Amodei thinks we're burying our heads in the sand on AI job lossesNews With AI set to hit entry-level jobs especially, some industry execs say clear warning signs are being ignored
-
Can robots work safely alongside humans? This one industry leader thinks we're not far awayNews Humanoid robots and people will be able to work truly side-by-side this year, according to the CEO of one leading robotics company.
-
The power of AI & automation: Proactive ITWhitepaper Automation strategies to dynamically and continuously assure cost-effective application performance
-
Magic Quadrant for enterprise conversational AI platformsWhitepaper An evaluation of the conversational AI platform (chatbot) market
-
Let's rethink customer servicewhitepaper Discover new ways to improve your customer service process
-
The power of AI & automation: Productivity and agilitywhitepaper To perform at its peak, automation requires incessant data from across the organization and partner ecosystem
-
Digitization solves manufacturing’s five toughest challengesWhitepaper Discover the technology trends that overcome manufacturing’s challenges, from cyber resilience to breaking free from legacy technology
-
The four pillars of excellence for technology leaderswhitepaper Download this CIOs business case for integration and automation
-
Building a strong business case for GRC automationwhitepaper Successfully implement an innovative governance, risk & compliance management platform
