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Among these, ArtificialIntelligence (AI) and workflow automation stand out as transformative tools that can revolutionize the manufacturing industry. Inventory Management : AI-powered demand forecasting can help manufacturers maintain optimal inventory levels, reducing storage costs and avoiding stockouts.
Despite their critical functions, these systems also lead to increased maintenance costs, security vulnerabilities, and limited scalability. Example: IBM zSeries mainframes are often found in financial institutions and large enterprises. These often lack proper documentation and require specialized knowledge to maintain and update.
Primarily, Relational DataBase Management Systems (RDBMS) managed the needs of these systems and eventually evolved into data warehouses, storing and administering Online Analytical Processing (OLAP) for historical data analysis from various companies, such as Teradata, IBM, SAP, and Oracle.
If the technological enhancements entail the procurement of better data, then it can help support the organization’s tax positions. It is one of the keys to the organization’s success–how effectively and efficiently are the various processes executed when implemented together.
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