Artificial Intelligence and Machine Learning are ever changing and news evolving topic areas. Our team tackle these areas head on. This section contains a range of content from a whitepaper on ‘AI enabled Data Quality’ to blog posts on topics such as a series entitled ‘Practical AI’ including blogs on, ‘Explainable AI’, ‘Ethics’ and ‘Dataset Labelling’.
A number of the pieces are written by many of the team members with Dr. Raghad Shabnar and Dr. Fiona Browne taking the lead on the research behind these pieces. With this blog section, we hope to enlighten you to the ever-changing capabilities that AI and ML are bringing to not only our platform but to many industries.
With a growing team, we hope to give a voice to the different members within our team to unveil their thoughts on technical developments, industry changes and overall technology revolution.
Our Head of AI, Dr Browne has written some poignant pieces that are currently in the works. We aim to provide not only rich white papers but short blogs, long form blogs, bite size blogs and interviews with the team. We hope that you find this section enriching and AI heavy.
Why risk taking a chance on poor data for training AI? If it’s keeping you awake at night, read on for a strategy to overcome the nightmare scenarios!
Nightmare on LLM Street: How To Prevent Poor Data Haunting AI Read More »
Kubernetes: An Introduction In the ever-evolving world of engineering, scalability isn’t just a feature—it’s a necessity. As businesses and data continue to grow, the ability to scale applications efficiently becomes critical. At Datactics, we are at the forefront of integrating cutting-edge AI/ML functionality that enhances our Augmented Data Quality solutions. To align with current standards
AI/ML Scalability with Kubernetes Read More »
In the digital era, data is essential for every organisation, meaning good data management is needed to empower businesses to make well-informed decisions and operate efficiently. However, this can be a challenging landscape, encompassing catalogs, lineage, observability, master data management, and data quality. We’re at a point now where institutions’ data estates are rapidly expanding.
The benefits of an Augmented Data Quality Solution Read More »
We are currently in an exciting area and time, where Machine Learning (ML) is applied across sectors from self driving cars to personalised medicine. Although ML models have been around for a while – for example, the use of algorithmic trading models from the 80’s, Bayes since 1700s – we are still in the nascent
The Importance of Data Quality in Machine Learning Read More »
One of the most important aspects of data quality is being able to identify anomalies within your data. There are many ways to approach this, one of which is to test the data against Benford’s Law. This blog will take a look at what Benford’s Law is, how it can be used to detect fraud,
How to test your data against Benford’s Law Read More »
The role of synthetic data At Datactics, we develop and maintain a number of internal tools for use within the AI and Software Development teams. One of which is a synthetic data generation tool that can be used to create large datasets of placeholder information. This was initially built to generate benchmarking datasets as another
Battling Bias in AI: Models for a Better World Read More »
Identifying outliers and errors in data is an important but time-consuming task. Depending on the context and domain, errors can be impactful in a variety of ways, some very severe. One of the issues with detecting outliers and errors is that they come in many different forms. There are syntactic errors, where a value like
Outlier Detection – What Is It And How Can It Help In The Improvements Of Data Quality? Read More »
In March 2022 Datactics took advantage of the offer to visit a local high school to discuss AI Ethics and Machine Learning in production.
AI Ethics: The Next Generation of Data Scientists Read More »
In her previous blog Dr Fiona Browne, Head of AI and Software Development, assessed the need for the AI and Machine Learning world to prioritise the data that is being fed into models and algorithms (and you can read it here. ) This blog goes into some of the critical capabilities for data quality tools
How Data Quality Tools Deliver Clean Data for AI and ML Read More »
This blog from Fiona Browne, Head of Software Development & AI at Datactics, covers the subject of matching data across open datasets, a project for which the firm secured Innovate UK funding. The Rapid Match project is a vehicle to address the complexity of integrating data and matching data at scale providing a platform for reproducible data pipelines for post and
Datactics demonstrates rapid matching capabilities on open datasets Read More »
The coronavirus pandemic produced challenges not one of us could have expected. While some sense of normality is returning, many businesses still face an uphill battle to recover. Artificial Intelligence Technology, however, presents a solution for firms hoping to thrive once again. Artificial Intelligence (AI) is being used for predictive tasks from fraud detection through
Artificial Intelligence can help businesses thrive Read More »
Written by Daniel Browne, Machine Learning Engineer Defining data quality rules and collection of rules for data quality projects is often a manual time-consuming process. It often involves a subject matter expert reviewing data sources and designing quality rules to ensure the data complies with integrity, accuracy and / or regulatory standards. As data sources
The first stop on the AI for Services UK Tour will be Northern Ireland curated by the fantastic team at Invest Northern Ireland and Innovate UK! We are delighted that Datactics will be one of the companies involved, the aim of the event is to discover the innovation taking place across the UK in the professional and
Datactics is involved with the KTN: AI for Services UK Tour! Read More »
Dr. Fiona Browne, Head of AI, and Matt Flenley, Marketing and Partnerships Manager at Datactics are contributing to AI Con 2020 this year. After a successful first year, AI Con is back! This year it’s said to be bigger and better than ever with a range of talks across AI, including AI/ML in Fintech; AI in the public sector; the impact of arts; the impact of
AI Con 2020 Interview with Dr. Fiona Browne and Matt Flenley Read More »
Datactics Head of Artificial Intelligence, Dr. Fiona Browne, recently contributed to the episode of FinTech Finance: Virtual Arena. Steered by Douglas MacKenzie, the interview covered the extent of the Anti-Money Laundering (AML) fines currently faced by banks over the last number of years and start to unpack what we do at Datactics in relation to
Recently we partnered with the EDM Council on a video that investigates the application of AI to data quality and matching. In this EDM Talk, we lift the lid on how our AI team is developing solutions to help our clients, especially in the area of entity matching and resolution. This plays an important role in on-boarding, KYC and obtaining a single
EDM Talks: Lifting the lid on the problems that Datactics solves Read More »
There is a lot of anticipation surrounding Artificial Intelligence (Al) and Machine Learning (ML) in the media. Alongside the anticipation is speculation – including many articles placing fear into people by inferring that AI and ML will replace our jobs and automate our entire lives! Dr Fiona Browne, Head of AI at Datactics recently spoke at an IRMAC (Information
IRMAC Reflections with Dr. Fiona Browne Read More »
In this AI whitepaper, authored by our Head of AI Fiona Browne, we provide an overview of Artificial Intelligence (AI) and Machine Learning (ML) and their application to Data Quality. We highlight how tools in the Datactics platform can be used for key data preparation tasks including cleansing, feature engineering and dataset labelling for
Read how AI is transforming Data Quality in this exclusive white paper Read More »
