AIdentity Blog

Veracity: Data completeness and Data Accuracy vs Privacy and Discrimination? Veracity is, in my opinion, best defined as: Devotion to the truth. So Lets examine that within the The Data (Use and Access) Bill ..... “The House of Lords are sending that data bill back to the Commons with a 'sex data accuracy' amendment.  So the Tories are having another go.   Seems the UK is determined to make me, and all other trans people, undergo the insult and humiliation of being describe

Artificial intelligence (AI) is transforming our world at an unprecedented pace. From automating tasks in industries like healthcare and finance to enhancing customer experience, AI is proving to be a powerful tool. However, as organizations harness this potential, they must also confront significant ethical dilemmas surrounding data collection and usage. This post explores these dilemmas, offering practical insights for organizations navigating the complex ethical landscape

"Here's some words and pictures" a colleague said to me handing me a Powerpoint deck on a flash drive......I did laugh. How often have we been told that data is valuable? Data is the New Oil? Here's some strategic thinking in diagrams (as I think that way) showing "The Alignment of Data and Business Values and Business Activities and Processes" We all need to be aware of different data types in our businesses, how we obtain them, their efigacy, and what their value to th

Whilst working within the TMT, Web 3 and Web4 worlds, I/we have developed three key frameworks to help tackle a variety of important processes and methodologies. These are: 3PM : a process that ensures the correct prioritisation and delivery of solutions, tasks and programs within any organisation. 3PM provides a concise framework (UML driven) that guides organisations through the difficult tasks associated with change, be that new program launches or a shift in strategic dir

In the era of data-driven decision-making, organisations recognise the importance of managing and governing their data efficiently. The implementation of data governance frameworks is crucial for ensuring data quality, security, and compliance. However, the path to establishing effective data governance is laden with challenges. At the centre of navigating these challenges is the data governance officer, who plays a vital role in ensuring compliance with evolving data regulat

Data-driven organisations face ongoing challenges in preserving and managing extensive information resources. How is it managed, what governance framework is in places as well as security and privacy considerations? The number of data sources usedin many companies leads me to question the validity and veracity of this incoming data, its lineage or provenance if you will. The concept of data ethics forms the core of these challenges and is a fundamental element within data man

A data custodian is responsible for the technical handling of data, including its storage, maintenance, and protection. They ensure that data is accurately entered, properly maintained, and easily retrievable, while also implementing the necessary security measures to safeguard the data against unauthorized access or breaches. The Data Custodian has 4 main responsibilities/duties regarding the use of data. These are: Planning, Documentation, Execution, and Monitoring. These

A few questions immediately came to mind. Can we count on AI to tell us accurate news/results? And the short answer is "probably not". But if the question is not essential, then what about the correct answer? Does it really matter?  If the question is mission/business critical then AI is not the answer!  We all believe we have to let someone into the equation to catch "hallucinations" or miscalculations as I like to describe them. I think humans should play a key role in the