Advances in the Industrial Internet of Things (IIoT) domain have created a wealth of new opportunities for making sense of the world, but has brought with it the challenge of leveraging massive amounts of data to improve decision-making.
Where should companies start in the process of implementing analytics? In this webinar we outline a four-stage Analytics Maturity Model:
Each of the four stages introduce key capabilities that transition from a fully manual-oriented data collection and interpretation regime into intelligent business processes that prevent problems before they occur, monitor the outcomes of decisions to learn what is effective, and continually update interpretations and actions in response to an ever-changing world.
Jason Sroka, Ph.D. Artificial Intelligence at MIT, highlights the steps that companies are taking to take advantage of artificial intelligence and predictive modeling to improve operational efficiency and risk management.
SmartSense wireless sensors and digital checklists drive operational excellence in organizations by improving quality control, ensuring regulatory compliance, and increasing operational efficiency.