In this editorial, our CEO Brian Hills discusses the news headlines that claim AI could lead to the extinction of humanity. The opinions on AI have always been split between those who believe that it can improve our lives and those who fear that it will eventually take over our jobs and lead to an […]
AI
2023 predictions on data and AI
Brian Hills, CEO at The Data Lab, on what’s likely to happen this year in the world of data, AI and machine learning. SMEs will invest more in digital transformation I see 2023 as a year of opportunity for SMEs to drive innovation and adoption of data, AI and machine learning, and a time when […]
The rise of the data officer and data use in manufacturing
Saleh Seyedzadeh, Principal Data Scientist at The Data Lab, on the role of Data Officers in manufacturing and how AI can find and develop data Gone are the days when business decisions were based solely on gut instinct. Over the last decade, organisations have become increasingly accustomed to using data to shape their strategy. The […]
Why practical data analytics is still so painful…and how we can help
Guest blog by Professor Chris Williams, University of Edinburgh. Chris was due to speak at DataTech20, which was unfortunately cancelled due to COVID-19. This article is based on the presentation that was prepared for DataTech20 in Glasgow and The Turing Present: AI UK in London, both of which were due to be held in March […]
Highlights from NVIDIA’s Online GPU Technology Conference
The rise of deep learning has led to an ever increasing need to speed up computations when processing large amounts of data. If you are a data scientist or a machine learning engineer, you probably know that NVIDIA’s hardware is playing a major role in this AI revolution, as all the fancy deep learning frameworks […]
Synthetic data in machine learning
Machine learning algorithms are currently applied in multiple scenarios in which unbalanced datasets or overall lack of sufficient training data lead to their suboptimal performance. For example, approaches focusing on disease prediction are often affected because data in the health sector is generally difficult to acquire and disease training examples are limited. Fraud detection in […]
Interactive Intelligence: Human-In-The-Loop Intelligence
Artificial Intelligence and Machine Learning has captured a large share of academic and industry attention during recent years, both in terms of new capabilities and the implications to society. Many state-of-the-art techniques are able to provide important capabilities for different fields, yet we are far from creating artificial general intelligence. Human-In-The-Loop (HITL) is a branch […]
Generative Adversarial Networks – when AI gets creative
Since Frank Rosenblatt introduced the Perceptron in 1958, neural networks have significantly evolved and taken the world by storm. Their ability to model complex, non-linear relationships that exist in data, led to novel neural network architectures, able to outperform humans in various challenging tasks like face recognition, disease prognosis and playing video games. However, even […]
Which Data Science Platform is Best? The Challenges of Explainable ML and AI
Recently, I have finished a project working on testing Machine Learning algorithm performances in different data science platforms with an explicit focus on explainability. In this post, I shall describe some of the criteria and the platforms that were used in this project. In the era of the internet where vast amounts of data are […]
