[cs_content][cs_element_section _id=”1″ ][cs_element_layout_row _id=”2″ ][cs_element_layout_column _id=”3″ ][cs_element_headline _id=”4″ ][cs_content_seo]Robert Half & Bright Apps\n\n[/cs_content_seo][/cs_element_layout_column][/cs_element_layout_row][/cs_element_section][cs_element_section _id=”5″ ][cs_element_layout_row _id=”6″ ][cs_element_layout_column _id=”7″ ][x_custom_headline level=”h2″ looks_like=”h3″ accent=”false”]As a visionary company, Robert Half asks a simple question.  [/x_custom_headline][cs_element_text _id=”9″ ][cs_content_seo]How can the process be improved?
Early on, Robert Half recognized the power of AI technologies as a potential framework for making data-driven decision-making a reality. In 2015, Robert Half engaged Bright Apps to explore innovative ideas and modern solutions to tune and optimize their winning recipe for successful relationships with clients and prospective candidates. People and relationships are essential to success.  How can technology assist staffing professionals to make quality matches faster and improve interaction with clients and candidates?
Partnering with Robert Half
The collaboration between Robert Half and Bright Apps is a synergistic partnership.  Each company is a leader and pioneer in their respective fields. Robert Half is a globally respected industry voice and the Bright Apps core team has been collaborating on innovative tech for 20 years before joining under the leadership of Bright Apps in 2015.
When Robert Half reached out to Bright Apps, they wanted to explore how to bridge the gap of an ever-expanding list of candidates with companies looking for specific skill sets. The Bright Apps team had a proven track record with Artificial Intelligence (AI)/Natural Language Processing (NLP) and automation – and set out to solve the puzzle.
Bright Apps assessed the challenge from the perspectives of staffing professionals, clients, and candidates’ needs. Fine-tuning the assessment into algorithms, and layering with inference rules, Bright Apps delivered a proof of concept and then with verification of the positive impact, developed scalable production systems looking at optimizing areas of the process.
Innovation is Key
Taking it to the next level, Bright Apps leverages learnings and continues to build algorithms and train models.  This bridges the gaps between the information available and the needs of clients, candidates, and staffing professionals while improving the accuracy, performance, reliability, and scalability of the internal products.
More than algorithms, Bright Apps worked with Robert Half to understand where to bridge existing information with their data insights and predictive modeling to increase the likelihood of staffing professionals to optimize their time and close loop faster with greater success. In turn, staffing professionals found improvements in the quality of candidate matches for each employer request faster and more efficiently. Ideas backed with data and modeling continue to drive improvements forward being both agile and adaptive to respond to actual usage of the system.
Using these innovative methods, Robert Half and Bright Apps continue to improve the quality of candidates shared with clients and has increased the engagement satisfaction of both parties. The use of algorithms improves the time to make connections and keeps the human touch.  This partnership curates the modern recipe for hiring success – balancing data and human relationships.\n\n[/cs_content_seo][/cs_element_layout_column][cs_element_layout_column _id=”10″ ][cs_element_gap _id=”11″ ][cs_element_text _id=”12″ ][cs_content_seo]”How can technology assist staffing professionals to make quality matches faster and improve interaction with clients and candidates?”\n\n[/cs_content_seo][cs_element_gap _id=”13″ ][cs_element_text _id=”14″ ][cs_content_seo]Connecting People through Tech
Employers seek qualified people to get products and services to market. Tale as old as time, yes, and often an arduous process to review resumes, match skills and find the right fit with the team.
This where Natural Language Processing (NLP) comes into play.  NLP processes large scale data creating time for Robert Half to maximize the human connections in the process.