Asset-intensive organizations are faced with many challenges such as aging infrastructure and fixed assets that are roughly 20 years old assets – high turnover rate of industrial workers reaching approximately 50% and increasing investor and client demands for sustainable operations. All of these contribute to the ongoing need to optimize their operations and extend the life of their assets to improve productivity and reliability while reducing costs in a safe and sustainable manner.

In the midst of these challenges, however, there are significant opportunities. New and cutting-edge technologies—especially solutions powered by artificial intelligence (AI) and machine learning (ML)—are paving the way to create new efficiencies, uncover rich data, and automate mission-critical processes like was never done before. Companies that embrace these technologies position themselves well to scale their operations, enhance ROI, and optimize their assets in a sustainable and reliable manner.

• How do you manage assets, infrastructure, and resources to optimize and prioritize activities that improve the bottom line?
• How are you utilizing AI , IoT and ML to minimize unplanned repair work and maintenance, reduce asset breakdowns and downtime, ensure equipment functions optimally, and reduce the need for new capital investments by extending machine lifespans?
• What is your sustainability strategy, in regards to assets and facilities management?
• How are you managing assets in a more efficient and environmentally friendly manner? What analytics and measures are you using?

Speaker: Balaji Santhanakrishnan, WW Principal Technical Sales Leader, IBM Sustainability