Since Covid-19, a human virus has forced virtually the majority of workforces online, making companies exceptionally reliant on digital systems and vulnerable to malicious cyber attacks as a consequence. Since then cyber attacks have increased. As the paradigm of working-from-home is in full swing here are three ways companies can ramp up their cybersecurity strategies today: 1. Review incident response plans Ensuring companies have braced themselves for attack with a crystal

Companies can overcome potential cybersecurity threats by using machine learning to identify and stop them from doing damage. Machine learning is used in data science and uses algorithms of previous datasets to improve a system automatically through experience. Machine Learning allows data scientists to: Predict risks based on past exploits and behaviour patterns. Identify outliers in data automatically. Productive use of large amounts of data Find cybersecurity threats using

Malware attacks have become sophisticated than ever and more difficult to detect and fight. Luckily data science is also speeding up. Data Science is a promising response to the increased risk of cyber attacks in 2020: Data Acquisition Periodically revisit and update the enterprise security plan as new knowledge and tools become available. Awareness, communication and coordination are key to a cybersecurity culture Security analytics enables data-driven decision making throug

Closing the achievement gap between higher and lower-achieving student groups is a great focus of many education policies. Why use data? To understand skill gaps of low achieving students. Administer frequent assessments of students. Receive professional development about linking low performing student data to instructional strategies. Recommend using data and teacher collaboration when asked: “what should schools do to close the gap?”. Assumptions: Data is broadly assumed in

Data science is the most attractive job of the 21st century, according to Harvard Business Review. Its relevance expands to prospective pupils. Here are a few reasons why data science should be on the top of the list for the next contemporary taught subject in schools: It’s Modern. Incorporating data science into the national curriculum ensures subjects such as ICT stay up-to-date and exciting, and is likely to be engaging to pupils who are aware of its relevance. It’s Inspir

As the school term is full swing, data is more important than ever. The efficient use of data science in schools has the potential utilise technology as a source of encouragement, beyond the scope of league tables. Here are congentBI’s top 3 recommended ways in which data science can improve school performance: 1. To monitor students with special requirements. Data is more objective and genuine than the unaware biases of teachers towards a particular set of students. 2. To me