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
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,...
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...
Our Blog
The Consequences of Ignoring Dirty Product Data
Organisations rely heavily on accurate and clean data to make informed decisions, streamline operations, and deliver exceptional customer experiences. However, many companies, particularly those dealing with extensive Maintenance, Repair, and Operations (MRO) data,...
How Warehouse Managers Can Avoid Inventory Disasters
The ability to maintain accurate inventory levels is critical to ensuring smooth operations, meeting customer demand, and optimising costs. Yet, one of the most common and frustrating challenges that warehouse managers face is the reliance on inaccurate product...
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...