Demo: Métier mines text to improve a company’s performance  In
large companies, it’s all too easy for employees to duplicate
work or fall out of sync with the company’s strategy. Métier‘s
workforward product uses natural language processing (NLP) and
semantic matching to help managers find the right employee to
work on a project, speed up project planning and ensure that
company strategy is actually being executed.  Let’s say that you
are a manager starting a new construction project. You can
search for the word “construction” using workforward and its
semantic matching engine will return relevant project or task
plans for construction, demolition or renovation projects that
the company has completed in the past. It does this by mining
unstructured text like project descriptions or task names in a
project plan for words with a similar meaning. Workforward can
also generate a sample project plan based on relevant previous
projects.  In addition to helping with planning, wordforward
identifies other employees w