FPT Software - AI-Powered Employee Allocation at Scale, Enhancing Skill-Project Suitability

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7kkh7kkh
7kkh7kkh Partner, Dataiku DSS Core Designer, Dataiku DSS ML Practitioner, Dataiku DSS Adv Designer, Registered, Frontrunner 2022 Participant Posts: 1 Partner

Team members:

  • Le Hoang Khanh, Data Scientist
  • Nguyen Trong Phan, Data Scientist
  • Tran Xuan Hieu, Data Engineer
  • Tran Quang Minh Tan, DX Lead
  • Le Nguyen Cao Nguyen, Delivery Manager

Country: Vietnam

Organization: FPT Software

A subsidiary of FPT Corporation – the leading ICT Group in Asia, FPT Software is a global technology and IT services provider with headquarter in Vietnam. Its decades of experiences in the global market have seen FPT Software empowering digital transformation for businesses worldwide, from various industries: Healthcare, BFSI, Manufacturing and Automotive, Communications, Media and Services, Aerospace and Aviation, Logistics and Transportation, Utilities and Energy, Consumer Packaged Goods, and Public Sector.

Awards Categories:

  • Best Partner Acceleration Use Case
  • Best Acceleration Use Case

Business Challenge:

In today's fast-paced business landscape, optimizing workforce allocation is crucial for organizations to achieve operational efficiency and meet dynamic demands. FPT Software, a trailblazing global technology company, has harnessed the power of artificial intelligence (AI) to develop a cutting-edge recommendation system. This intelligent system efficiently allocates employees to projects, ensuring their skills are aligned with project requirements while maximizing productivity and job satisfaction.

Business Challenge: Efficient Employee Allocation at Scale

FPT Software faced a significant challenge in managing their diverse and ever-growing workforce, comprising talented individuals with unique skillsets and varying levels of experience. The conventional manual employee allocation processes proved cumbersome and time-consuming, often leading to suboptimal project outcomes and resource underutilization.

The business challenge was twofold:

1. Scalability: As the company expanded its operations, allocating employees to numerous projects across different business units became increasingly complex. With a vast pool of employees and a growing portfolio of projects, manually matching employees to projects was no longer viable.

2. Skill-Project Suitability: Ensuring that employees were assigned to projects that aligned with their skills, experience, and interests was critical to optimizing project performance. The challenge was to identify the most suitable employees for each project in real-time, taking into account both hard skills and soft skills.

Addressing the Challenge: Building the Recommendation System

To overcome the business challenge of efficient employee allocation, FPT Software embarked on a data-driven journey to develop a recommendation system empowered by AI and machine learning.

The key components of their solution included:

1. Comprehensive Employee Profiling: FPT Software compiled detailed employee profiles, encompassing technical skills, domain expertise, past project experience, certifications, and professional interests.

2. Project Characterization: Each project was characterized based on its scope, technical requirements, complexity, and timeline, allowing the system to understand the unique demands of each assignment.

3. Machine Learning Algorithms: Leveraging advanced machine learning algorithms, the recommendation system analyzed historical data on employee-project assignments and outcomes. The system identified patterns and correlations to make intelligent predictions about suitable employee-project matches.

4. Real-Time Adaptability: The recommendation system was designed to adapt in real-time to changing project demands and employee skillsets. As new projects were initiated or employees acquired new skills, the system updated its recommendations to ensure optimal allocation.

Business Solution:

As FPT Software embarked on the journey to build a recommendation system for efficient employee allocation, the integration of Dataiku's AI and machine learning platform played a pivotal role in empowering advanced analytics and data-driven insights. Dataiku's robust platform provided a strong foundation for the entire project, facilitating seamless data management, model development, and real-time adaptability.

1. Data Integration and Preprocessing: Dataiku's data integration capabilities enabled FPT Software to effortlessly consolidate diverse data sources related to employee profiles, project details, skillsets, and performance metrics. The platform streamlined the data preprocessing phase, ensuring data cleanliness and accuracy before feeding it into the recommendation system.

2. Machine Learning Model Development: Dataiku's AI and machine learning capabilities were instrumental in developing the recommendation system's intelligent algorithms. By leveraging Dataiku's intuitive interface and extensive library of algorithms, FPT Software's data scientists efficiently developed and fine-tuned the machine learning models that power the recommendation system.

3. Real-Time Insights and Monitoring: Dataiku's real-time analytics capabilities allowed FPT Software to gain actionable insights and monitor the performance of the recommendation system continuously. The platform provided interactive dashboards and visualizations, enabling stakeholders to track the system's effectiveness and make data-driven decisions in real-time.

Business Area Enhanced: Human Resources

Use Case Stage: In Production

Value Generated:

The successful collaboration between FPT Software and Dataiku has revolutionized workforce management, providing significant value through optimized resource allocation, enhanced project performance, and a data-driven approach to decision-making. By empowering agile workforce management, the recommendation system and Dataiku integration have set the stage for FPT Software to thrive in the ever-changing landscape of technology services. As the seamless integration of AI and data-driven decision-making becomes a strategic advantage, FPT Software remains at the forefront of innovation, driving business growth and success in the dynamic global market

Value Brought by Dataiku:

Enhancing Workforce Efficiency and Business Outcomes

The successful implementation of the recommendation system and Dataiku integration has brought substantial value to FPT Software, positively impacting various aspects of their workforce management and business operations.

1. Optimized Resource Allocation: The recommendation system has significantly improved resource allocation efficiency. By precisely matching employees with projects that align with their skills and interests, FPT Software maximizes the utilization of their talent pool. This optimized resource allocation translates to increased productivity, reduced downtime, and improved project delivery timelines.

2. Enhanced Project Performance: The AI-driven recommendations ensure that the most suitable employees are assigned to each project. This alignment of skills and expertise leads to improved project performance, higher quality deliverables, and enhanced client satisfaction. FPT Software can now consistently deliver projects with the right talent, resulting in a competitive edge in the market.

3. Real-Time Adaptability: With the recommendation system's real-time adaptability, FPT Software can quickly respond to changing project requirements and employee skillsets. The ability to adjust workforce allocation on the fly enhances agility, enabling the company to take on new projects promptly and capitalize on emerging business opportunities.

4. Talent Retention and Job Satisfaction: The system's personalized employee allocation fosters a positive work environment where employees are engaged in projects that resonate with their career aspirations. The enhanced job satisfaction and meaningful work experiences contribute to higher employee retention rates and a stronger company culture.

5. Data-Driven Decision Making: FPT Software now leverages data-driven insights to inform strategic workforce decisions. The recommendation system provides valuable analytics on workforce capabilities, project allocation trends, and skill gaps, enabling data-driven decision-making at every level of the organization.

6. Proactive Skill Development: The AI-driven system identifies skill gaps and potential areas for employee development. Armed with this information, FPT Software can proactively invest in skill development programs, ensuring their workforce remains competitive and adaptable to future market demands.

7. Business Growth and Scalability: As the organization continues to expand its operations, the recommendation system scales effortlessly with the growing workforce and project portfolio. The system's scalability fosters a seamless workflow, enabling FPT Software to efficiently manage a diverse array of projects across different business units.

Value Type: Increase revenue

Value Range: Hundreds of thousands of $

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