How large organisations are putting generative AI to work on their own data, from the team building AsscherAi. 487 articles.
Data residency requirements complicate the use of AsscherAi for a multinational company, as the system must access data stored in different locations, each subject to local regulations...
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AI cost optimisation for quality reduces total costs by analysing workflows and identifying areas for improvement, allowing organisations to make data-driven decisions and improve quality...
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Embeddings enable AsscherAi to capture nuances in language by generating a numeric representation of a query, allowing the system to retrieve relevant information from an organisation's...
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Enterprise AI adoption for quality drives change by integrating into existing routines, such as daily meetings where quality metrics are reviewed, allowing users to ask questions and get...
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AI productivity tools improve quality by enabling shift supervisors to identify trends in maintenance logs and category managers to optimise supplier comparisons, which can lead to better...
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AI process automation for research and development streamlines decision-making by automating mundane tasks, such as data collection and analysis, allowing organisations to focus on complex...
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AsscherAi enhances production security by controlling access to sensitive data and preventing prompt injection attacks, which occur when malicious inputs manipulate the system, allowing a...
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Predictive maintenance systems integrated with production data enable managers to identify potential machine failures, reducing unplanned downtime and losses, by analyzing signals and...
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A purchasing manager checks the purchase order table and finds that AsscherAi missed a contract, so they must decide whether to keep a human review step to catch such errors, or remove it...
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Implementing AsscherAi in production requires careful consideration of governance and risk, including enforcing permissions at retrieval and maintaining auditability, to ensure that...
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A data contract defines what the "purchase order table" means and who can change it, but in practice, it can be complex and nuanced, requiring careful consideration of the rules and...
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AI cost optimisation for production reduces waste by analysing entire workflows, considering unit cost versus total cost, and applying caching, batching, and model routing to minimize...
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A digital twin of a production line helps a shift supervisor identify anomalies by comparing real-time sensor data with expected behaviour, then investigate the cause and take corrective...
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Enterprise AI adoption for production informs daily decisions by providing real-time answers to complex questions about output and quality, enabling production teams to identify potential...
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Implementing AI-powered tools like AsscherAi in production environments can streamline workflows by providing real-time insights, enabling shift supervisors to adjust schedules and category...
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AI process automation for quality streamlines production by automating handoffs between teams, such as when a production supervisor notifies the quality control team, reducing delays and...
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Procurement data security relies on understanding how AsscherAi interacts with the purchase order table and supplier contract database, to prevent unauthorised access or tampering, and...
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Procurement teams use AsscherAi to measure ROI by tracking changes in spend patterns and supplier performance, allowing them to identify areas for improvement and optimize their strategy...
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A domain tuned model for AsscherAi allows a procurement manager to ask about supplier lead times, and get accurate answers by querying the purchase order table and the inventory management...
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Governance and risk controls for procurement can prevent unnecessary costs by ensuring that enterprise AI solutions are used consistently with organisational policies, as seen when a...
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Model confidence in AsscherAi helps a purchasing manager gauge the reliability of answers about supplier performance, by calculating the degree to which the model is sure of its answer...
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AI cost optimisation for procurement streamlines processes by identifying inefficiencies in supplier contracts and spend patterns, allowing procurement managers to renegotiate contracts and...
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Demand forecasting fails when historical data is incomplete due to stockouts, making it hard to estimate future demand, for instance, a purchasing manager checks the purchase order table...
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Procurement teams use AsscherAi to identify areas where costs can be reduced or optimised by analysing spend patterns and contract terms, then ask questions about the data to inform their...
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