Artificial Intelligence in Manufacturing
Go beyond industry 4.0 with total visibility, predictive insights, and prescriptive actions
SparkCognition accelerates digital transformation for the world’s leading manufacturers in process, discrete, and batch operations. Our proven solutions for AI in manufacturing provide predictive maintenance, process optimization, and prescriptive actions that enable you to increase throughput, reduce costs, and save energy.
Accelerate your digital transformation with AI in manufacturing
Relieve the painful cost of downtime using artificial intelligence in manufacturing
Downtime cost averages $532,000 per hour for large manufacturing companies, and human error causes 23% of unplanned downtime in manufacturing—more than twice the rate of other sectors.
With real-time insights and predictive alerts on your machine health, SparkCognition’s patented solutions for AI in manufacturing help you avert costly micro-stoppages, slowdowns, and unscheduled downtime events before they happen. Adopting a data-driven, predictive maintenance approach enables cost-optimized equipment service when continually learning models determine an imminent failure is most likely: in time to avoid expensive downtime.
Discover next-best-action recommendations with AI in manufacturing
By the end of the decade, the growing skill-shortage problem could put nearly $500B of manufacturing GDP at risk. With experienced workers leaving the workforce and hiring markets getting more competitive every day, it’s time to rethink the way people and technology can work together optimally.
Prescriptive insights remove the guesswork for your staff by providing root cause analysis to prevent unnecessary repairs. SparkCognition allows you to codify SME manufacturing knowledge in various formats into one central source of truth, with next-best-action recommendations that become even more accurate and precise over time.
Achieve sustainability goals through AI in manufacturing insights
Manufacturers account for more than 30% of the nation’s total energy consumption. Yet, only 1 in 10 manufacturers are on track to achieve their sustainability goals.
SparkCognition’s predictive analytics monitor energy, water, and other resource usages in real-time using AI-powered anomaly detection so you can reduce waste, save money, and scale your ability to improve sustainability across your operations.
Our AI in manufacturing solutions alert you to wasteful electricity, water, or other resource usages, allowing you to analyze past anomalies and alerts to find root causes and patterns in resource usage, correlate usage practices with production and/or quality issues, and extend your asset’s usable life while maximizing throughput through optimization actions.
Case studies: AI in manufacturing companies improving operational efficiency and sustainability
How to become an industry 4.0 leader using AI-enabled predictive maintenance
Driving sustainability for a Top 50 beverage manufacturer
Optimizing production via AI-powered transparency
Unlock the power of AI in manufacturing
Leveraging deep manufacturing industry knowledge, SparkCognition unlocks the power of AI in manufacturing at scale so you can leap ahead of your competitors held back by fragmented and dated legacy systems.
A fortune 50 beverage manufacturer saw production efficiency increase by up to 5%, averting nearly $1M in maintenance costs through a single plant deployment.