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Dive into the world of Machine Learning, Product Data Management and Unlocking Operation Efficiency. Our articles are packed with valuable insights that will benifit your organisation as well as expert tips to help you harness the full potential of your Product Data with the help of AI and ML.
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Latest Articles
AICA to Attend TechEx Europe 2024 in Amsterdam
*Please note that we will no longer be attending the Amsterdam Expo. Instead, we will be at the London Expo on 5–6 February 2025.* Date: 1-2 October 2024Location: RAI, AmsterdamStand: 6 We are thrilled to announce that AICA will be attending TechEx Europe 2024 in the...
Understanding GS1 Standards: How They Differ Globally
In today's interconnected world, efficient and accurate data management is essential for businesses to thrive. GS1, a global organisation, plays a crucial role in standardising business communication. The most well-known GS1 standard is the barcode, which facilitates...
AICA’s Commitment to Data Integrity and Accuracy
In the fast-paced world of Artificial Intelligence (AI) and Machine Learning (ML), trust is essential. Recently, there has been a growing concern among customers about the use of their data to train AI models and the accuracy of the outputs generated by these...
Why ERP Data Exports Often Lead to Unstandardised Product Data and How to Fix It
In today's business environment driven by data, having clean and standardised data is essential for effective operations and informed decision-making. However, a common issue that many companies face is dealing with unformatted product data exported from ERP...
Overcoming Data Cleanliness Challenges in Mergers and Acquisitions
Mergers and acquisitions (M&As) are intricate processes that bring about numerous challenges, particularly when it comes to data management. Ensuring the cleanliness and compatibility of data from a target company is crucial for a successful merger. This task...
Boosting Speed and Accuracy in Product Data Management with AI-Driven APIs
Efficiently managing product and product and service data demands speed and accuracy. As many organisations strive to keep up with the growing volume and complexity of data, the need for innovative solutions becomes more important than ever. This is where...
What is Version 26.0 of UNSPSC and Why It Matters
The United Nations Standard Products and Services Code (UNSPSC) is a critical tool for categorising and managing products and services across various industries. Version 26.0801 of the UNSPSC Code set, the latest update, includes 511 changes, encompassing 449 new...
Whitelabeling AICA’s Advanced Data Solutions Via API
In product and service data management, accuracy, speed, and cost-efficiency are critical. At AICA, we are an industry leader in data cleansing, enrichment, creation, and comparison, offering a unique solution that leverages our advanced Artificial Intelligence...
The Importance of Training Algorithms with Clean, Authentic Product Data: Not Customer Data
In the dynamic world of Artificial Intelligence and Machine Learning, the quality and integrity of data are crucial for building robust and reliable models. At AICA, one of our core principles is to ensure that we use our own data to train our algorithms, not our...
Data Enrichment
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Data Creation
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Data Cleansing
Understanding the Root Causes of Data Quality Problems
In today’s data-driven world, maintaining high-quality data is crucial for effective decision-making and operational efficiency. However, organisations often encounter significant challenges in ensuring the integrity and accuracy of their data. These challenges can be...
Transforming UNSPSC Classification with AICA’s AI-Driven Enrichment Services
In supply chain management and procurement, the accuracy and efficiency of UNSPSC (United Nations Standard Products and Services Code) classification is paramount. Traditionally, this process has been a laborious task, consuming considerable time and resources....
Addressing M&A Due Diligence Challenges with AICA
Mergers and acquisitions (M&A) are complex processes that involve a multitude of challenges, particularly when it comes to managing and integrating data from multiple sources. Practitioners often face significant hurdles such as data inconsistencies, data quality...
AI’s Impact on Supply Chain Data Management: Insights from Gartner
We would like to thank and reference Gartner for the information referenced in this article. In Gartner's latest report “Top GenAI Use Cases That Work Best for Supply Chain Logistics,” Carly West and Jose Reyes highlight the transformative impact of generative AI...
Centralising Group Procurement with Our Advanced Data Management Solutions
Centralising procurement across multiple companies yields significant benefits like cost savings, improved efficiency, and stronger negotiating power. However, this centralisation process introduces various data-related challenges, such as inconsistencies, quality...
The Cost of Dirty Data in Supply Chain Management
In the complex web of global supply chains, the quality of data can either propel businesses towards unprecedented efficiency and profitability or drag them into a mire of escalating costs and missed opportunities. Dirty data—a term that encapsulates inaccurate,...
Implementations
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