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AICA
The Effects of Dirty ERP Product Data and How to Prevent It
ERP systems have become an integral part of modern business as they offer a centralised platform for various business functions, from supply chain management to finance. However, as with any system, the quality of the output depends largely on the quality of the...
The Significance of UNSPSC Classification in the Mining Industry
Mining is more than just extracting minerals; it's about managing resources, understanding processes and ensuring efficiency at all levels. In such a vast and complex industry, how does one maintain uniformity and clarity in product data? Enter the UNSPSC...
The Integration of AI in PIM and the Importance of Data Cleansing
Product Information Management plays a crucial role in how businesses manage and disseminate product data across channels. As the need for accurate and timely information becomes paramount, organisations are increasingly looking at Artificial Intelligence (AI) to...
A Guide to AICA’s Consultation Process
Product data stands as the backbone for business decisions, marketing strategies and operational efficiency. Inaccurate or outdated product data hinders sales, misleads employees and results in costly operational blunders. With our proficiency in product data...
Revolutionising Online Food Retail: AI’s Impact on Personalised Meal Planning and Shopping
The landscape of online food retail has been rapidly evolving, driven by the integration of cutting-edge technologies like Artificial Intelligence and Machine Learning. In a world where convenience and personalisation are paramount, the food industry is witnessing a...
The Benefits of Enriching Product Data with More Attributes
In today's business landscape, the richness of product information is paramount for operational efficiency and informed decision-making. By adding more attributes to product data, companies can enhance various aspects of their business operations and strategies. ...
AICA’s Innovative Approach to Anomaly Detection in Product Data
In a huge dataset, anomalies can be like finding a needle in a haystack. Yet, for businesses, these anomalies often signal potential issues that can greatly affect product quality, user satisfaction, or system performance. AICA has pioneered an innovative...
Why We Utilise AI To Perform Data Cleansing
In the age of digital transformation, vast amounts of data are being generated every second. As businesses and organisations become more data-driven, the quality and reliability of this data have taken centre stage. Herein lies the significance of data cleansing, and...
Artificial Intelligence
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Data Cleansing
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DigiTeams
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Digitisation
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Dirty Data
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Ecommerce
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Machine Learning
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Natural Language Processing
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Product Data
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Partnerships
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Taxonomy
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