Tag: #dataanalytics

Data serves as the essential support structure across all industries today. Organizations seeking to modernize systems require efficient data migration to improve operational efficiency through improved data access. Partnering with the best data migration services company could make this transformation seamless and more secure. As businesses continue to grow, what is a data migration? Simply…

Knowing the difference between data science and machine learning is important for businesses and professionals. This knowledge helps them stay ahead in the AI-driven world. Data science focuses on extracting meaningful insights from structured and unstructured data. Machine learning enables systems to learn from data and make predictions using algorithms without explicit programming. Data science…

Data visualization enables complex information to become graphical representations such as infographics, maps, graphs and charts amid the global exponential increase of data. This change allows business people and researchers to show data better. It helps improve communication, decision-making and understanding. Data visualization tools enable companies and data analysts to identify patterns and correlations hidden…

What happens when an AI agent makes a decision that negatively impacts your business? According to a recent MIT study, 68% of organisations deploying autonomous AI agents report experiencing at least one significant incident related to misaligned agent behaviour in their first year of deployment. As AI agents become more capable and widespread, the need…

Managing changes in a Power BI semantic model has always been a challenge, especially when working in a self-service environment. Mistakes happen, and without a proper versioning system, rolling back to a previous state was difficult. But with Semantic Model Version History (Preview), Power BI introduces a much-needed solution to track, restore, and manage model versions effortlessly. What is Semantic Model…