Data foundations
What has to be true about your data before any of this works.
- Data foundations in printing and packagingData foundation failures in printing and packaging occur when incomplete or inaccurate data leads to setup and makeready losses, quoting...
- Data foundations in pharmaceuticalsAsscherAi helps pharmaceutical manufacturers evaluate batch data by providing a centralized repository for batch records and deviation investigation...
- Data foundations in metals and miningA maintenance planner at a nickel mine uses AsscherAi to investigate equipment failures by querying the maintenance log and production schedule...
- Data foundations in manufacturingA shift supervisor checks the maintenance log and inventory levels to decide how to allocate production lines, but achieving enterprise data...
- Data foundations in logisticsLogistics data management systems require accurate and reliable data to function effectively, but gaps in the data, such as stockouts and backfills...
- Data foundations in healthcare providersA clinical data manager reviews the electronic health records system to ensure accurate capture of patient admissions and discharges, enabling...
- Data foundations in FMCGA category manager uses AsscherAi to investigate sales discrepancies by querying the purchase order table and the inventory management system, then...
- Data foundations in energy and utilitiesA maintenance planner at a power generation plant uses AsscherAi to investigate equipment failures by querying the maintenance log and outage...
- Data foundations in e-commerce and retailA logistics manager uses AsscherAi to investigate warehouse inventory discrepancies by querying the inventory management system and the enterprise...
- Data foundations in chemicalsA production planner in a chemicals plant uses AsscherAi to investigate yield drift by querying the batch log and the maintenance schedule, then...
- Data foundations in automotiveAutomotive suppliers can improve data foundations by standardizing processes and validating data, enabling AsscherAi to provide accurate answers to...
- What data does AI need for supply chain?AsscherAi needs access to the purchase order table, inventory by location, and demand signal to function effectively in a supply chain deployment...
- What data does AI need for customer service?Customer service AI relies on the purchase order table, ticket history, and knowledge base to answer questions about order status and product...
- What data does AI need for sales?AsscherAi needs specific data systems for sales, including historical sales data, order book, and inventory positions, to produce useful answers, and...
- What data does AI need for research and development?A research and development engineer uses AsscherAi to analyze data from the test results and failure analyses database to identify potential...
- What data does AI need for quality?AsscherAi requires complete data from inspection records, non-conformance reports, and batch genealogy to provide accurate answers about quality, and...
- What data does AI need for production?A production manager uses AsscherAi to investigate deviations in output against plan by querying the system on cycle times, scrap rates, and...
- What data does AI need for procurement?Procurement deployments of AsscherAi rely on data from specific systems, including the purchase order table and supplier contracts, to provide...
- What data does AI need for operations?AsscherAi requires access to process records, project status, and supplier performance data to provide useful answers about an organisation's...
- What data does AI need for maintenance?A maintenance manager uses AsscherAi to query the work order system, asset history, and spare parts inventory to determine which assets are due for...
- What data does AI need for executive leadership?AsscherAi requires access to specific systems like consolidated financials and operational KPIs to provide complete answers for executive leadership...
- What data does AI need for human resources?AsscherAi requires access to specific human resources systems, including the policy library and headcount and skills database, to provide accurate...
- What data does AI need for finance?A finance manager reviewing the company's cash flow statement can use AI to analyse data from the general ledger, budget system, and purchase orders...
- Data foundations for supply chainA supply chain manager uses AsscherAi to investigate lead time variance by asking what causes delays in the purchase order table, then adjusts...
- Data foundations for customer serviceAsscherAi improves customer service by providing accurate answers to customer queries, using data from the purchase order table, ticket history, and...
- Data foundations for salesA sales team uses AsscherAi to investigate why their forecast is not accurate, by checking the purchase order table and inventory positions, to...
- Data foundations for research and developmentA research manager uses AsscherAi to query the purchase order table, but unclear field names in the database hinder the results, highlighting the...
- Data foundations for qualityA quality engineer uses AsscherAi to investigate a rise in defect rates, querying the purchase order table and production schedule to identify the...
- Data foundations for productionAsscherAi helps production managers optimize schedules by analyzing data from the production database, maintenance history, and quality records...
- Data foundations for procurementProcurement data management involves integrating purchase orders, supplier contracts, and invoice history to provide a clear picture of...
- Data foundations for operationsAsscherAi helps operations teams identify anomalies by analyzing process and exception records, project status, and budget consumption, enabling them...
- Data foundations for maintenanceStandardising asset descriptions in the maintenance log and spare parts inventory enables a maintenance manager to query the organisation's data and...
- Data foundations for executive leadershipA chief operating officer uses AsscherAi to investigate a discrepancy in sales figures, checking the purchase order table and the general ledger to...
- Data foundations for human resourcesA data foundation for human resources enables organisations to answer questions about staff turnover by providing a clear understanding of employee...
- Data foundations for financeFinancial data analysis relies on accurate field-level meaning, clear documentation of column names, and integration of all relevant data sources...
- How to start with data foundationsGetting started with enterprise data readiness for AI involves choosing a first case with a known answer, such as the total value of orders placed...
- What is AI unit economics?Evaluating AI unit economics involves calculating the cost per answered question, which is driven by the complexity of the question, the size of the...
- What is total cost of ownership for AI?Total cost of ownership for AI includes purchase price, integration costs, maintenance, and training, making it a significant consideration for...
- What is a token?A category manager uses AsscherAi to query the purchase order table, retrieving data on sales trends, with each query using tokens to measure the...
- What is throughput in AI systems?Throughput in AI systems like AsscherAi is critical for large organisations, as it determines how many users can query the purchase order table or...
- What is synthetic data?Synthetic data helps a category manager compare two suppliers by generating realistic sales scenarios, allowing them to predict outcomes and make...
- What is an AI SLA?An AI SLA defines the expected performance of the AsscherAi platform, including response times and accuracy, providing a clear understanding of what...
- What is a single source of truth?A purchasing manager uses AsscherAi to query the purchase order table, their single source of truth for supplier information, to decide which...
- What is shadow mode?Shadow mode allows a new system to run in parallel with the existing process, enabling testing and validation without disrupting the workflow, as...
- What is semantic search?Semantic search retrieves data based on query meaning, not keyword matching, by analysing the purchase order table, invoice log, and budget...
- What is reranking?Reranking in AsscherAi reorders query results from the purchase order table and inventory management system to prioritize relevant passages, helping...
- What is regression testing AI?Regression testing AI ensures AsscherAi's existing functionality remains intact after changes, by re-running predefined questions and verifying...
- What is red teaming?A security manager implements red teaming by simulating an attack on their organisation's systems to identify vulnerabilities, then uses the findings...
- What is PII in AI systems?Handling personally identifiable information in AsscherAi requires careful consideration of access controls, encryption, and regular audits to ensure...
- What is AI observability?AsscherAi's AI observability helps a category manager track interactions between the AI system and the organisation's data, including the questions...
- What is MLOps?MLOps ensures machine learning models are properly integrated with existing infrastructure, a data scientist checks the model serving infrastructure...
- What is LLMOps?LLMOps manages the lifecycle of large language models and their prompts, ensuring accurate and relevant answers to user queries, by adapting DevOps...
- What is AI latency?A data analyst experiences AI latency when asking complex questions about sales data through AsscherAi, where a two-second answer is more useful than...
- What is a knowledge graph?A purchasing manager uses AsscherAi to query the knowledge graph, finding which suppliers provide products with a high defect rate, by traversing...
- What is inference?Inference in AsscherAi generates answers to questions about an organisation's data, such as what orders are pending in the purchase order table, by...
- What is grounding?Grounding ensures answers are tied to specific sources, such as the purchase order table or inventory management system, enabling users to verify...
- What is a golden dataset?A golden dataset ensures AsscherAi returns accurate results by testing its ability to retrieve data from tables like the purchase order table, but...
- What is edge inference?Edge inference enables real-time decision making on the manufacturing floor by running machine learning models on devices close to the equipment...
- What is model drift?Model drift occurs when the underlying data changes, causing AsscherAi's answers to degrade, as seen when a production schedule dashboard's numbers...
- What is data residency?Data residency requirements complicate the use of AsscherAi for a multinational company, as the system must access data stored in different...
- What is a data contract?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...
- What is model confidence?Model confidence in AsscherAi helps a purchasing manager gauge the reliability of answers about supplier performance, by calculating the degree to...
- What is citation in AI answers?Citation in AI answers provides transparency by referencing the original data source, such as the purchase order table, allowing users to verify...
- What is chunking?Chunking enables AsscherAi to process large documents by breaking them down into smaller, contextual pieces, allowing a category manager to quickly...
- What is change management for AI?Change management for AI involves planning and monitoring changes to an organisation's systems and processes to ensure successful adoption of AI...
- What is AI benchmarks?AI benchmarks measure system performance, but rarely predict real-world results, as a category manager comparing suppliers on AsscherAi may find that...
- What is an AI audit trail?A maintenance manager reviews the AI audit trail to understand how AsscherAi generated an answer about equipment failure rates, checking the data...
- What is access control for AI?Access control for AI enforces permissions at the point of retrieval, controlling what data the AI can access, as seen when a category manager uses...
- Data foundations in the enterprise: a practical guideAsscherAi requires a deep understanding of the enterprise's data foundations, including field-level meaning and column names, to provide accurate...