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Centralized AI deployment environment reduced time to scale ML models by 85%
Sigmoid built a unique AI deployment environment for a leading CPG brand that allowed multiple business teams to run ML models and scale them across multiple departments and geographies. It ensured faster deployment of ML models across while reducing the cost of running models by 2x.
Automated data pipelines deliver 10X faster insights from IoT sensors
Sigmoid built an efficient and near real-time ETL data pipeline for the customer that resulted in faster query processing time and increased scalability. The solution facilitated centralized monitoring of dashboards allowing quick identification and resolution of machine downtime.
Enhanced trade surveillance with 4x faster data pipelines
Sigmoid helped a top-tier investment bank set up trade surveillance and make it regulatory compliant by setting up Spark-based ETL pipelines. We revamped existing systems to ensure optimal performance for the order of their trade surveillance while ensuring resource optimization and creating faster response times.
15% increase in capacity utilization with automated master production schedule
Sigmoid built a solution to efficiently predict scenarios based on optimization of important KPIs such as capacity utilization, safety stock maintenance, inventory to be maintained, raw material availability and scrap minimization for a fortune 500