Personalizing Talent Acquisition with IoT: A Case Study of 104 Corporation
Technology Category
- Analytics & Modeling - Machine Learning
- Infrastructure as a Service (IaaS) - Cloud Computing
Applicable Industries
- Cement
- Education
Applicable Functions
- Maintenance
- Warehouse & Inventory Management
Use Cases
- Construction Management
- Infrastructure Inspection
Services
- Cloud Planning, Design & Implementation Services
- Training
About The Customer
104 Corporation is Taiwan’s leading online recruitment solutions provider. The company uses cloud computing and machine learning to help hiring companies and millions of job seekers improve their recruitment results and experiences. They have an extensive network of job advertisers and customers, and have access to terabytes of highly valuable, private data, including personal information, engagement details, and transaction information. Millions of job seekers and hundreds of thousands of recruiters depend on 104 Corporation’s current and accurate recommendations, using the insights gleaned to make effective recruitment solutions and deliver personalized recommendations and more relevant job opportunities.
The Challenge
104 Corporation, Taiwan’s leading online recruitment solutions provider, was facing challenges due to their legacy cloud tooling and the need for a modern data infrastructure. Despite having access to terabytes of highly valuable, private data, including personal information, engagement details, and transaction information, the company struggled to scale pipeline costs effectively and spent significant resources on maintenance operations. This was slowing their ability to be truly data-driven. Their existing systems were siloed, preventing data teams from gaining relevant, timely insights for informed decision-making. The company was hampered by specialty ETL tooling like EMR and a legacy data warehouse in SAP Sybase that were disparate and complex to scale. As the company continued to expand, the increasing quantity of data became significantly more challenging to manage and utilize.
The Solution
104 Corporation modernized their infrastructure on the Databricks Lakehouse Platform to address these limitations. This helped to unify all their data into a standard view for downstream analytics and ensured real-time availability of insights for different groups across the organization. The company utilized Databricks Lakehouse and Delta Lake to accelerate ETL for BI workloads that power executive dashboards on key performance indicators and insights into the overall user journey. The new platform also allowed the company to build high-performance ETL pipelines that support training new ML models to better summarize company and job postings, maximizing the volume of user impressions. To further drive AI democratization and reduce developing time, 104 Corporation also deployed MLflow, which brought together the various teams across the company into one unified ecosystem that enabled seamless, efficient knowledge-sharing.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
System 800xA at Indian Cement Plants
Chettinad Cement recognized that further efficiencies could be achieved in its cement manufacturing process. It looked to investing in comprehensive operational and control technologies to manage and derive productivity and energy efficiency gains from the assets on Line 2, their second plant in India.
Case Study
IoT platform Enables Safety Solutions for U.S. School Districts
Designed to alert drivers when schoolchildren are present, especially in low-visibility conditions, school-zone flasher signals are typically updated manually at each school. The switching is based on the school calendar and manually changed when an unexpected early dismissal occurs, as in the case of a weather-event altering the normal schedule. The process to reprogram the flashers requires a significant effort by school district personnel to implement due to the large number of warning flashers installed across an entire school district.
Case Study
Digital Transformation of Atlanta Grout & Tile: An IoT Case Study
Atlanta Grout & Tile, a Tile, Stone & Grout restoration company based in Woodstock, Georgia, was facing challenges with its traditional business model. Despite steady growth over the years, the company was falling behind the web revolution and missing out on the opportunity to tap into a new consumer base. They were using independent software from different vendors for each of their department information and workforce management. This resulted in a lot of manual work on excel and the need to export/import data between different systems. This not only increased overhead costs but also slowed down their response to clients. The company also had to prepare numerous reports manually and lacked access to customer trends for effective business decision-making.
Case Study
Revolutionizing Medical Training in India: GSL Smart Lab and the LAP Mentor
The GSL SMART Lab, a collective effort of the GSL College of Medicine and the GSL College of Nursing and Health Science, was facing a challenge in providing superior training to healthcare professionals. As clinical medicine was becoming more focused on patient safety and quality of care, the need for medical simulation to bridge the educational gap between the classroom and the clinical environment was becoming increasingly apparent. Dr. Sandeep Ganni, the director of the GSL SMART Lab, envisioned a world-class surgical and medical training center where physicians and healthcare professionals could learn skills through simulation training. He was looking for different simulators for different specialties to provide both basic and advanced simulation training. For laparoscopic surgery, he was interested in a high fidelity simulator that could provide basic surgical and suturing skills training for international accreditation as well as specific hands-on training in complex laparoscopic procedures for practicing physicians in India.
Case Study
Implementing Robotic Surgery Training Simulator for Enhanced Surgical Proficiency
Fundacio Puigvert, a leading European medical center specializing in Urology, Nephrology, and Andrology, faced a significant challenge in training its surgical residents. The institution recognized the need for a more standardized and comprehensive training curriculum, particularly in the area of robotic surgery. The challenge was underscored by two independent studies showing that less than 5% of residents in Italian and German residency programs could perform major or complex procedures by the end of their residency. The institution sought to establish a virtual reality simulation lab that would include endourological, laparoscopic, and robotic platforms. However, they needed a simulator that could replicate both the hardware and software of the robotic Da Vinci console used in the operating room, without being connected to the actual physical console. They also required a system that could provide both basic and advanced simulation training, and a metrics system to assess the proficiency of the trainees before they performed surgical procedures in the operating theater.
