How large organisations are putting generative AI to work on their own data, from the team building AsscherAi. 487 articles.
Healthcare organisations can reduce IT costs by using AI to answer questions from existing systems, rather than building custom reports, with 20.7% of US health care and social assistance...
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Healthcare administrators use AsscherAi to query their electronic health record system, reducing the time spent on manual data analysis and improving decision-making, as 20.7% of US health...
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Logistics businesses can reduce IT costs by applying AI to existing systems, such as transport management and ERP, to automate reporting and data analysis, and by using natural language...
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Logistics managers use AI to analyse transport management system data and reduce dwell and detention times by identifying shipments being detained at warehouses, allowing them to contact...
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Manufacturing businesses can reduce IT costs by using AI to answer questions from existing systems like ERP and MES, reducing the need for new reports and integrations, and freeing up IT...
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AsscherAi helps manufacturers reduce changeover losses by analyzing data from the ERP, MES, plant historian, and maintenance system, allowing a shift supervisor to ask direct questions...
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Implementing AsscherAi in e-commerce and retail enables the category manager to query sales data in real time, identifying trends and patterns that inform assortment decisions, pricing...
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AI process automation in energy and utilities streamlines maintenance planning by enabling shift supervisors to query past outages and identify patterns, allowing for more informed...
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Enterprise AI security in chemicals manufacturing involves mitigating yield drift and feedstock variability risks by implementing tailored access controls and data validation mechanisms...
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AI identifies anomalies in supply chains by analysing data from logistics, supplier performance, and software systems, enabling organisations to proactively address potential issues, such...
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Real time querying with AsscherAi helps a purchasing manager decide whether to place an urgent order for a critical component by providing current stock levels, while batch processing can...
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Enterprise AI systems like AsscherAi can help chemicals companies navigate complex processes by providing insights into yield drift, feedstock variability, and plant-to-plant recipe...
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A purchasing manager uses AsscherAi to query the knowledge graph, finding which suppliers provide products with a high defect rate, by traversing relationships between suppliers, products...
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Allocating budget to AI in human resources requires considering integration and data work costs, which can be substantial, and evaluating the run cost against query volume to ensure the...
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A purchasing manager checks the inventory levels of a specific product in the enterprise resource planning system, then asks the AsscherAi assistant if there are any outstanding purchase...
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Implementing AsscherAi in human resources can streamline recruitment by identifying bottlenecks and trends, allowing a hiring manager to ask what stages are slowing down the process and how...
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A category manager uses AsscherAi to compare supplier performance, checking which materials meet quality standards, then identifying areas to renegotiate contracts, while a shift supervisor...
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AsscherAi helps a category manager identify which products to stock by analysing customer purchase history and supplier lead times, then alerts the shift supervisor to potential stockouts...
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Enterprise AI security in automotive involves mitigating risks such as prompt injection and ensuring least privilege access to sensitive data, which can be achieved by implementing robust...
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AI reduces a forecast nobody can interrogate by analysing historical sales data and order book information to generate a forecast based on actual sales trends and patterns, allowing a sales...
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Fine tuning AsscherAi's model can improve accuracy on specific tasks, but it requires significant resources and expertise, whereas RAG ensures answers are based on up-to-date information...
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Implementing enterprise AI governance in automotive involves addressing unique challenges such as supplier escalations and engineering change propagation, which can be complex and...
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Inference in AsscherAi generates answers to questions about an organisation's data, such as what orders are pending in the purchase order table, by using a trained model to make predictions...
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AI cost in finance is often underestimated due to overlooked integration and data work expenses, a finance manager must consider these costs when deploying AI systems, such as accessing and...
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