Beyond Collecting Data
Data literacy is a key component of data governance. Understanding the data and how it is integral to your business intelligence enables strategic data-driven […]
Explaining AI
MIT researchers are striving to improve the interpretability of features so decision makers will be more comfortable using the outputs of machine learning models. […]
Valuable Technology
Data is gold. It is the lifeblood of machine learning models. But what happens when the access is limited? Is this where synthetic data […]
Teaching AI
The use of synthetic data is a cost‑effective way to teach artificial intelligence (AI) about human responses. But what about bias? The Guardian brought […]
AI in the Social Realm
Regardless of how much data artificial intelligence (AI) is made available, there will always be unseen situations in real-world deployments. Unfortunately, socially situated learning […]
Cohesive Data
Data fragmentation refers to the dispersion of an organization’s data assets. The more data you have from different sources and stored in different spaces, the […]
Career Options in Technology
Technology jobs have long been on the rise, but with the pandemic changing the way many businesses operate, there is an increased dependency on […]
Mitigating the Cybersecurity Risks
Many organizations are not prepared for the risks that come with technology. In todays world, cybersecurity is as important as ever. With ever growing […]
Forging Relationships
It’s Peer Review Week 2022 and the topic today is about research and trust. The Scholarly Kitchen brought this interesting information to our attention […]
Using the Data
Statistical analysis is the process of collecting and analyzing data to identify patterns and trends, remove bias and inform decision-making. It’s an aspect of […]