How large organisations are putting generative AI to work on their own data, from the team building AsscherAi. 487 articles.
Implementing AI productivity solutions in healthcare providers involves identifying repetitive tasks, such as data entry or document scanning, and automating them to free up staff for...
Read the article
AI process automation in logistics streamlines operations by identifying trends and patterns in carrier performance, allowing logistics teams to make informed decisions and automate routine...
Read the article
AsscherAi reduces security risks in FMCG by making it easier to investigate potential threats, such as unauthorized access to sensitive data, and enabling the procurement team to ask...
Read the article
AI reduces failures rediscovered across programmes by analysing historical data and identifying patterns, enabling researchers to quickly identify potential causes and take corrective...
Read the article
Vector search and keyword search in AsscherAi help a category manager find relevant information in the purchase order table, but the choice between them depends on the data type and search...
Read the article
Implementing enterprise AI governance in FMCG requires careful consideration of promotional distortion, shelf life write-offs, and distributor visibility, and a system like AsscherAi can...
Read the article
MLOps ensures machine learning models are properly integrated with existing infrastructure, a data scientist checks the model serving infrastructure and monitoring tools to ensure reliable...
Read the article
Implementing AI in operations often incurs significant costs in data preparation and integration, which can be mitigated by carefully planning and executing the deployment, for instance, a...
Read the article
Model routing directs queries to the cheapest model that can answer them, reducing load on complex models and allocating resources effectively, as seen when a purchasing manager checks the...
Read the article
Implementing AI in operations reduces downtime by identifying causes of equipment failure, allowing teams to ask specific questions and receive insights to inform decisions, such as "what...
Read the article
Implementing AI-powered tools like AsscherAi in FMCG can streamline inventory management by enabling category managers to quickly analyze sales data and optimize product mixes, thereby...
Read the article
AI process automation in healthcare providers streamlines clinical workflows by automating mundane tasks, such as supply procurement and patient scheduling, allowing healthcare...
Read the article
A security manager for a utility company evaluates the AsscherAi system to ensure it can handle sensitive data from outage planning and regulatory reporting, while also protecting against...
Read the article
AI reduces defects traced late to a batch or supplier by analyzing inspection records and non-conformance reports to identify patterns and anomalies, allowing quality managers to take...
Read the article
AsscherAi handles queries about an organisation's data by distinguishing between structured records and unstructured documents, allowing a category manager to compare supplier contracts or...
Read the article
Enterprise AI governance in energy and utilities involves a category manager comparing maintenance schedules, taking into account asset age, personnel availability, and regulatory...
Read the article
LLMOps manages the lifecycle of large language models and their prompts, ensuring accurate and relevant answers to user queries, by adapting DevOps discipline to the unique challenges of...
Read the article
AsscherAi's maintenance costs are often underestimated due to overlooked integration and data work expenses, which can be mitigated by attributing spend to specific processes and regularly...
Read the article
Master data management prevents incorrect product information from causing supply chain issues by providing a single, unified view of core data entities, ensuring all systems work with the...
Read the article
Implementing AI in maintenance involves connecting systems and data sources, then using the AI platform to answer questions about equipment performance, such as which machines are most...
Read the article
Implementing AI productivity solutions in energy and utilities requires careful consideration of the sector's unique challenges, such as outage planning and regulatory reporting, and...
Read the article
AI process automation in FMCG streamlines workflows by analysing sales data and adjusting production levels in real-time, enabling category managers and shift supervisors to respond quickly...
Read the article
Enterprise AI security in e-commerce and retail requires careful consideration of data processing and storage, as a returns analyst investigates the root cause of a high return rate...
Read the article
AI reduces cross-functional questions by providing rapid access to consolidated financials and operational KPIs, enabling teams to investigate issues like a shift supervisor checking...
Read the article