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AI-based predictive analysis in manufacturing refers to the use of artificial intelligence and data analytics to forecast future events, optimize processes, and reduce risks. By analyzing historical and real-time data from machines, sensors, and production systems, AI models can predict equipment failures, maintenance needs, demand trends, and quality issues. This enables manufacturers to minimize downtime, improve efficiency, reduce costs, and enhance product quality through proactive decision-making rather than reactive responses... Show more
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A visionary and result-oriented executive with over 23 years of Data Warehouse and Business Intelligence experience. Proven track record of defining and executing data analytics strategy. Lead all aspect of planning, designing, developing, implementing, training, and managing big data technologies, data warehouses, business intelligence & analytics organizations. Excellent communication, facilitation skills, and proven ability to partner with C-level leadership in solving complex problems. Proven experience in Business and IT Strategy, Leadership, Digital Transformation, Change Management, Tactical Planning and Management across the Enterprise, Rigorous Execution, Leading PMOs, Consultancy, and Large and Mid-size P&L Management. Experience in designing, developing and maintaining Business Intelligence and ETL processes to support the data warehouse using multiple ETL tools like, Oracle Warehouse Builder, Oracle Data Integrator (Synopsis), Informatica, Microsoft Data Factory and Oracle workflow manager etc. I have an extensive experience with the complete suite of Oracle Business Intelligence Enterprise Edition (Siebel Analytics), Tableau, Microsoft Power BI. Implemented multiple end to end Azure Data Warehouse, Data Lake and Azure Power BI solution. Implemented multiple end to end OBIEE / OBIA / projects for standalone Data Warehouse and Pre-build Applications. Have monitored workflows and performance tuning for data warehouse environment. experienced data modeling for creating scratch Data Warehouse and expanding data warehouse.