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.
DigiSites
We aim to engage audiences and create the ultimate digital experience.
OUR BLOG
Here’s Why AICA Uses Custom Machine Learning Algorithms for Data Management
At its core, ML involves training algorithms to learn from data and make predictions or decisions without being explicitly programmed to perform those tasks. This automated decision-making capacity, when tuned effectively, can offer unparalleled advantages, especially...
Ensuring Data Integrity in Mining: The Role of Data Cleansing and Enrichment
Mining, a sector known for its massive operations and complex logistical demands, has always grappled with challenges related to the management of Maintenance, Repair and Operations (MRO) product data. As operations grow and technologies advance, the volume,...
The Benefits of Having Enriched PIM Product Data
The complexities associated with managing Maintenance, Repair and Operations data can often be overwhelming for large organisations. The ability to maintain accurate, up-to-date and detailed data on equipment, spare parts and maintenance protocols is essential not...
Unmasking Deceptive Suppliers: AICA’s Innovative Approach to Product Authenticity
In today's globalised market, the task of tracing the origin of products is increasingly difficult. Suppliers often engage in deceptive practices, altering product numbers, descriptions and packaging to obscure the true source of their merchandise. Such tactics...
Assessing Your Organisation’s Product Data Quality Without Spending a Dime
The business landscape has become increasingly digital and therefore data forms the bedrock upon which your business constructs its strategies, operations and customer experiences. But what if this foundation is shaky? Enter the realm of 'dirty product data', a...
AICAs Must-Attend AI Events of 2023
In a world where technology is at the forefront of every conversation, AICA is thrilled to announce its participation in two marquee events this year. If you're looking to be part of the discussions defining the future of artificial intelligence (AI) and Product...
Maximising ROI: The Power of Product and Services Data Cleansing, Enrichment and Comparison
In this article, we explore the substantial return on investment (ROI) that companies can achieve by embarking on a journey of product and services data cleansing, enrichment and comparison. This exercise yields benefits across two main spheres of an...
Enhancing Property & Facilities Management: An Insight into AICA’s Solution
Efficiently overseeing multiple locations in property and facilities management remains an intricate challenge. At the core of this challenge lie three primary drivers: Labour, Materials and Equipment. AICA's innovative approach seeks to address these complexities,...
OUR BLOG
Here’s Why AICA Uses Custom Machine Learning Algorithms for Data Management
At its core, ML involves training algorithms to learn from data and make predictions or decisions without being explicitly programmed to perform those tasks. This automated decision-making capacity, when tuned effectively, can offer unparalleled advantages, especially...
Ensuring Data Integrity in Mining: The Role of Data Cleansing and Enrichment
Mining, a sector known for its massive operations and complex logistical demands, has always grappled with challenges related to the management of Maintenance, Repair and Operations (MRO) product data. As operations grow and technologies advance, the volume,...
The Benefits of Having Enriched PIM Product Data
The complexities associated with managing Maintenance, Repair and Operations data can often be overwhelming for large organisations. The ability to maintain accurate, up-to-date and detailed data on equipment, spare parts and maintenance protocols is essential not...
Unmasking Deceptive Suppliers: AICA’s Innovative Approach to Product Authenticity
In today's globalised market, the task of tracing the origin of products is increasingly difficult. Suppliers often engage in deceptive practices, altering product numbers, descriptions and packaging to obscure the true source of their merchandise. Such tactics...
Assessing Your Organisation’s Product Data Quality Without Spending a Dime
The business landscape has become increasingly digital and therefore data forms the bedrock upon which your business constructs its strategies, operations and customer experiences. But what if this foundation is shaky? Enter the realm of 'dirty product data', a...
AICAs Must-Attend AI Events of 2023
In a world where technology is at the forefront of every conversation, AICA is thrilled to announce its participation in two marquee events this year. If you're looking to be part of the discussions defining the future of artificial intelligence (AI) and Product...