How large organisations are putting generative AI to work on their own data, from the team building AsscherAi. 487 articles.
Enterprise AI security for sales involves configuring systems like AsscherAi to handle sales data correctly, preventing prompt injection attacks, and ensuring data accuracy to generate...
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Measuring AI ROI in sales requires tracking leading measures like meetings held and proposals submitted, as a sales manager checks the team's activity log to see if the new strategy is...
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AsscherAi's open weight model allows a procurement manager to query the purchase order table and compare supplier performance, but requires ongoing maintenance and updates, whereas the...
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Effective governance and risk for sales involves enforcing permission at retrieval, where the system checks user permissions in real time, and ensuring auditability, which provides a clear...
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Edge inference enables real-time decision making on the manufacturing floor by running machine learning models on devices close to the equipment, allowing a shift supervisor to monitor...
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AI cost optimisation for sales reduces waste by identifying expensive computations in workflows, then applying caching, batching, or model routing to cut the total cost, for example a sales...
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Fine tuning AsscherAi's model on domain data helps a purchasing manager adapt the purchase order table to better predict stock levels and automate ordering, by adjusting the model's...
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Enterprise AI adoption for sales enhances forecasting by analysing historical sales data, order books, and inventory positions, enabling sales teams to make informed decisions and improve...
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AI productivity in sales enables teams to make data-driven decisions by providing real-time insights, allowing a category manager to compare sales trends and adjust inventory levels...
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AI process automation for customer service streamlines workflows by identifying bottlenecks and automating routine tasks, allowing agents to focus on complex issues, and it works by...
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Enterprise AI security for research and development involves evaluating data processing and storage locations to ensure compliance with company requirements, such as anonymizing training...
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Research teams use AsscherAi to measure ROI by tracking leading indicators such as experiment velocity and prototype iterations, enabling data-driven decisions to optimise resource...
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A data architect considers on premise or cloud for AsscherAi, weighing control over infrastructure against scalability needs, and the cost of integrating with existing systems, to decide...
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Enterprise AI governance for research and development improves project efficiency by providing detailed information about progress and challenges, allowing a category manager to identify...
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Model drift occurs when the underlying data changes, causing AsscherAi's answers to degrade, as seen when a production schedule dashboard's numbers no longer match actual production...
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AI cost optimisation for research and development streamlines workflows by identifying areas where costs can be reduced without compromising quality, enabling teams to allocate resources...
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AI evaluation ensures AsscherAi provides accurate answers by verifying them against the purchase order table and supplier performance log, involving a detailed review of test questions and...
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Enterprise AI adoption for research and development streamlines workflows by attaching new capabilities to existing routines, allowing employees to gradually become familiar with the system...
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AI productivity tools in research and development streamline information search, reduce rework, and enhance collaboration by providing quick answers to complex questions, enabling teams to...
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AI process automation for sales streamlines handoffs between teams, such as the shift supervisor and category manager, by automating notifications and updates, reducing delays and lost...
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AsscherAi helps quality managers identify defects by analysing inspection records and non-conformance reports, enabling them to trace defects back to specific batches or suppliers, and...
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A quality manager uses AsscherAi to investigate defect rates by asking what changed this month, on which production line, and how it compares with last quarter, then acts on the findings to...
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A purchasing manager considers an internal tool or a vendor platform to manage procurement data, evaluating total cost over three years, including development, maintenance, and support, to...
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Enterprise AI governance for quality enables the quality manager to make informed decisions by analyzing inspection records, non-conformance reports, and batch genealogy, and providing fast...
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