How Top Construction Companies Navigate Healthcare Complexity

A diverse workforce, where employees feel included and believe their company is committed to their advancement, leads to more innovation, greater retention of top talent and better business results. Clearing a path for women and historically underrepresented groups to join construction is vital to solving some of the industry's greatest challenges, including the labor shortage. However, ensuring career advancement opportunities are fair is critical to retaining a diverse workforce.

AIFORSE Community invites everybody who is interested in the future of Software Engineering to attend a FREE Webinar. At the Webinar you will learn: The main problems in Software Engineering today, How AI can be applied to Software: two folds of the same coin, What tasks AI can solve in Software Engineering, Applying AI to Software Development Processes: Benefits, Examples, and Trends.

The leap from paper-based construction management to digital-powered construction management has been swift and powerful. But the change isn’t stopping there. Industry leaders are embracing a new shift to image-based construction. Reality capture—using 360° images—makes it possible to integrate the latest job site conditions into project workflows in a way that wasn’t possible before. Allowing key stakeholders to see as-built conditions when not physically present on-site means teams can move faster and stay on schedule. In this on-demand webinar, you’ll learn how image-based construction makes tasks and processes easier, builds accountability and transparency, avoids waste and rework, enables remote project management, and improves collaboration.

Making quality data available in a reliable manner is a major determinant of success for data analytics initiatives be they regular dashboards or reports, or advanced analytics projects drawing on state of the art machine learning techniques. Data engineers tasked with this responsibility need to take account of a broad set of dependencies and requirements as they design and build their data pipelines.