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AICA

AICA: AI Does the Heavy Lifting, Human Insight Remains Irreplaceable

AICA: AI Does the Heavy Lifting, Human Insight Remains Irreplaceable

In an era dominated by data-driven decision making, the integrity and quality of data are paramount. AICA, a leader in product and service data cleansing, enrichment, creation, and comparison, stands at the forefront of this revolution. By harnessing cutting-edge...

AICA to Attend TechEx Europe 2024 in Amsterdam

AICA to Attend TechEx Europe 2024 in Amsterdam

Date: 1-2 October 2024Location: RAI, AmsterdamStand: 6 We are thrilled to announce that AICA will be attending TechEx Europe 2024 in the vibrant city of Amsterdam. This premier event is where top technology companies gather to showcase their latest solutions and...

Understanding GS1 Standards: How They Differ Globally

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

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...

Overcoming Data Cleanliness Challenges in Mergers and Acquisitions

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...

Artificial Intelligence

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Data Cleansing

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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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