The journey to transforming your business operations for your current and future assets will be dependent on how you can utilize technology and digitalization. From capturing new insights into the performance of how your assets operate, increasing automation into your maintenance workflows, and bringing in augmented support for fault diagnostics and decision making.
But, with three in five executives admitting that they struggle to realize value from their IoT initiatives, plus access to assets being limited following the outbreak of COVID-19, getting started –and just as importantly, executing on your efforts is easier said than done.
Recent research suggests unplanned asset downtime can cost organizations an average of $260K per hour. Advances in analytics, AI, and hybrid-cloud platforms are combining to deliver enterprise asset management insights which further reduce downtime and optimize maintenance, repair, and operations beyond those benefits available with enterprise asset management alone.
So, how can sensors, IoT, and AI work together with enterprise asset management (EAM) to help you better understand and manage your assets, workflows, and product lifecycles? How do you identify the right use cases for your business, and overcome technical, process, and cultural resistance to change? And what does the roadmap for enterprise asset management and asset performance management success look like in your organization?
Join IBM and a select group of industry thought leaders as we discuss unleashing the power of AI and IoT to enhance asset performance management (APM) and why intelligence derived from data is your greatest asset.