WHAT IS DIGITEAMS?
We are a technology company that specialises in artificial intelligence, machine learning and blockchain.
Digital transformation within organisations is our focus.
ARTIFICIAL INTELLIGENCE
Artificial intelligence refers to the simulation of human intelligence in machines that are programmed to perform tasks such as data cleansing, speech recognition, decision-making, and language translation.
MACHINE LEARNING
Machine learning is a type of artificial intelligence that involves training computer systems to learn from data and make predictions or decisions without being explicitly programmed or controlled.
BLOCKCHAIN
Blockchain is a decentralised, digital ledger technology that records transactions in a secure and transparent way, using cryptographic techniques to ensure integrity and prevent tampering.
Digital Transformation
A strategic, long-term blueprint that helps you meet your business goals.
Data Services
Enriching your data to make it more relevant and useful within your industry.
Digital Transformation
A strategic, long-term blueprint that helps you meet your business goals.
Data Services
Enriching your data to make it more relevant and useful within your industry.
OUR BLOG
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...
How Dirty PIM Product Data Can Lead to Reduced Operational Efficiency
Businesses rely heavily on accurate and consistent product information to maintain operational efficiency and drive sales. Product Information Management (PIM) systems play a crucial role in managing this data, but when the data is dirty—riddled with inaccuracies,...
What Is AICA?
AICA helps organisations cleanse, enrich, create, and compare product and service data. By leveraging advanced Artificial Intelligence (AI) and Machine Learning (ML) algorithms, AICA's software helps detect and rectify various errors and inconsistencies within...
How to Implement a Data Cleansing Strategy in Your Manufacturing Business
An effective Enterprise Resource Planning (ERP) system relies heavily on clean, accurate data to function optimally. Poor data quality can lead to a cascade of issues, including production delays, increased costs, and lost sales opportunities. Implementing a robust...
Our Blog
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...