Our Network project is dedicated to building and expanding the largest, most comprehensive industry network. 

The Network connects businesses and talent through intelligent search, and our Insider Network facilitates strong relationships and B2B opportunities, creating a dynamic ecosystem of collaboration and growth.

Our AI project focuses on integrating advanced AI technologies into our Network to provide unmatched functionality and effectiveness. 

The industry standard database search is typically limited to keyword and boolean search. This method, although functional, has three key flaws:

1. It’s not that accurate – because keyword and boolean search uses a simple binary format for determining candidate relevance (either the specified keyword or phrase is present or it is not). Therefore, relevant candidates can be missed
2. It requires more time resource – keyword and boolean searches inherently require a multitude of searches to be carried out using a different combination of words and boolean to capture as many relevant results as possible. This leads to unnecessary resource and time drain through running and re-running searches
3. Once relevant CVs are identified, they must be manually assessed for relevance – keyword and boolean is incapable of providing any insight that makes this process faster or more efficient

The AI powered solution we are developing addresses the issues with keyword/boolean and provides cutting edge features beyond the industry standard:

1. It’s far more accurate – modern AI is capable of comprehending context, as opposed to keyword/boolean which has zero contextual insight. This understanding can allow AI to understand what a candidate’s experience actually means, and therefore identify all relevant candidates regardless of whether the ‘right word’ or phrase was included in their CV or other data
2. It reduces time resource – modern AI is capable of identifying all relevant candidates in a single search, thus significantly reducing the time resource drain associated with keyword/boolean search
3. The comprehension ability of modern AI is capable of actual intelligent insights into candidate data, finding transferrable skills and even identifying matches between idiosyncratic job requirement and candidate experience. This represents not just a huge reduction in resource drain compared to keyword/boolean, but even goes so far as to offer a net positive resource gain

The purpose of AI powered candidate search is not to remove the essential human element, but instead to replace existing database search methods with a far more intelligent, flexible and context aware AI interface. Such a system will not only provide a better, more efficient way to interface with candidate data, but also is fairer to candidates by ensuring a good candidate doesn’t slip through the keyword/boolean cracks.

The capabilities of modern AI are a perfect fit for our vision of truly intelligent search, and will be able to provide a level of contextual comprehension that We will provide further updates as this project progresses.