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
Enhancing Product Data Accuracy: AICA’s Advanced Methods
Accurate product data is essential for businesses to streamline operations, make informed decisions, and maintain a competitive edge. At AICA, we employ a range of advanced methods to ensure the highest accuracy in product data cleansing, enrichment, creation, and...
Leveraging NLP and LLMs for Superior Data Management: AICA’s Modular Approach
AICA utilises Natural Language Processing (NLP) layered on top of our domain specific algorithms to pre-train our algorithms on curated Maintenance, Repairs, and Operations (MRO) product data. This unique combination enables us to achieve an accuracy rate of around...
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...
How AICA Overcomes Generative AI Challenges in Product and Service Data Management
AICA specialises in product and service data cleansing, enrichment, creation, and comparison, leveraging our advanced Artificial Intelligence and Machine Learning algorithms. While Generative AI (GenAI) has transformed various industries, it poses significant...
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
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...
Our Blog
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,...
Elevating MDM: Combining Real and Synthetic Data for Superior Data Quality
Master Data Management (MDM) serves as the central hub for accurate and consistent product information within an organisation. However, real-world product data can be riddled with errors, inconsistencies, and missing values. This hinders business efficiency, analytics...
Flexibility in AICA’s Data Solutions: Tailored Services for Unique Needs
At AICA, we understand that each organisation faces unique challenges in managing their product data. Whether you're dealing with data errors, inconsistencies, or simply looking to classify your data by UNSPSC, our suite of services offers a flexible approach to meet...
Enhancing Product Data Accuracy: AICA’s Advanced Methods
Accurate product data is essential for businesses to streamline operations, make informed decisions, and maintain a competitive edge. At AICA, we employ a range of advanced methods to ensure the highest accuracy in product data cleansing, enrichment, creation, and...
Leveraging NLP and LLMs for Superior Data Management: AICA’s Modular Approach
AICA utilises Natural Language Processing (NLP) layered on top of our domain specific algorithms to pre-train our algorithms on curated Maintenance, Repairs, and Operations (MRO) product data. This unique combination enables us to achieve an accuracy rate of around...