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10Alytics
It's pronounced
"TEN ALY TICS"
Self-Paced / Crash CourseAI Automation Course (2026)
Become a Data Analyst
Become a Health Tech Analyst
Become a Business Analyst
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Become a Healthcare Business Analyst
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Become a DevOps Engineer

Not Sure? Talk to a career coach

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Live · Season 2 Students Hackathon 2026

Career: WorkplaceDisplacementDisplacementDisplacementCaused by AI Adoption

12 Focus Areas·200+ Projects·1 Champion

A collaborative initiative between 10Alytics and JengaGlobal, bringing students and emerging professionals together to explore the impact of Artificial Intelligence on careers and the future of work.

⚡ Register NowRead the Brief
84
Competing Teams
12
Focus Areas
1,000
Points Per Voter
Registration open
Build the Future◈Earn the Crown◈10Alytics × JengaGlobal◈AI-Powered Reskilling◈12 Focus Areas◈1 Champion◈The Ultimate Battle of Innovation◈10Alytics Hackathon 2026◈
//The Challenge

Build for the People AI Leaves Behind

Artificial Intelligence is transforming the workplace at an unprecedented pace. Tasks that once required significant human effort are increasingly being automated, augmented, or redesigned using AI. The goal is not simply to build technology that replaces people, but to build solutions that help people adapt.

  1. 01

    Register

    Enter as a Pod or as an Alumni team. Combine disciplines rather than stacking one skill.

  2. 02

    Choose a Focus

    Pick one of the three focus areas and define a real workplace problem AI created or accelerated.

  3. 03
//Objectives

What You're Expected to Do

  1. 01

    Identify workplace challenges created or accelerated by AI adoption. Develop innovative solutions that help workers adapt to changing job requirements.

  2. 02

    Develop innovative solutions that help workers adapt to changing job requirements.

  3. 03

    Explore ways AI can support reskilling and upskilling.

  4. 04
//The Mission

Twelve Focus Areas

Pick one focus area and go deep. Each opens a different front on the same problem: how we prepare people, businesses, and communities to thrive in an AI-driven economy.

Focus Area 1

Data Analytics

Data Analytics participants can use data to identify patterns, trends, and insights around AI adoption, workforce changes, skills gaps, and employment.

Possible ideas

  • AI workforce impact dashboards
  • Job displacement analytics
  • Skills-gap dashboards
  • Career opportunity trend analysers
//Eligibility

Who can Participate

The hackathon is designed to accommodate both Pod and Alumni registration. Teams are encouraged to combine different skills rather than building teams entirely from one discipline.

POD

Current cohort teams registering as a pod

ALUMNI

Graduates and emerging professionals

Participants may come from

  • Data Analytics
  • Data Science
  • Data Engineering
//Evaluation Framework

Judging Criteria

Expert judges score every project against the 5 criteria above. Public voting runs alongside the judging round and opens once submissions close — every team gets a shot at the crowd as well as the panel.

// Judge Responsibilities

  1. 01Dashboard Architecture & UI/UX Usability
  2. 02Analytical Depth & Analytical Rigor
  3. 03Actionability of Policy Recommendations
  4. 04Presentation & Data Storytelling
  5. 05Methodology Documentation
//The Stakes

Fight for the Rewards

Total Prize Pool

$5,000+

Worth of prizes, recognition, and exciting opportunities waiting to be won.

Win the crown and earn your place among the competition's finest, with exclusive rewards, industry recognition, and a lasting legacy.

Second Place

Runner-Up

  • ☑Runner-Up Certificate
  • ☑Recognition Feature
//How It Works

Your 1,000 Points, Your Rules

Select 1 to 3 pods and distribute your 1,000 points however you want. You're in full control of how much weight to give each project. Read full guide

01

Pick Your Teams

Choose between 1 and 3 Teams to support. You can back just one if you believe in them completely, or spread across three.

1 – 3 Teams
02

Set Your Points

You control how your 1,000 points are split. Give 800 to one and 200 to another. Or split evenly. It's your call.

1,000 PTS

data & strategy

Build the Future. Earn the Crown.

Status
Build the Future◈
Earn the Crown◈
10Alytics × JengaGlobal◈
AI-Powered Reskilling◈
12 Focus Areas◈
1 Champion◈
The Ultimate Battle of Innovation◈
10Alytics Hackathon 2026◈

Build

Ship a working prototype. AI, data and technology applied where they genuinely solve the problem.

  • 04

    Pitch

    Present to the judging panel against six criteria while public voting runs in parallel.

  • Create solutions that improve employability and career mobility.

  • 05

    Encourage collaboration between different disciplines and professional backgrounds.

  • 06

    Demonstrate how AI can be used responsibly to create inclusive and sustainable workplaces.

  • 07

    Build practical solutions with potential for real-world adoption and impact.

  • Workforce transition reports
  • Focus Area 2

    Data Science

    Data Science participants can apply statistical analysis, machine learning, and predictive modelling to understand and address AI-driven workplace displacement.

    Possible ideas

    • Job displacement prediction models
    • AI-powered career recommendation systems
    • Skill-gap prediction tools
    • Personalised career transition engines
    • Models that match workers with emerging career opportunities
    Focus Area 3

    Data Engineering

    Data Engineering participants can focus on building the data infrastructure required to power AI-driven career and workforce solutions.

    Possible ideas

    • Workforce data pipelines
    • Centralised skills databases
    • Real-time employment data platforms
    • Career intelligence data warehouses
    • Automated systems that collect and process job, skills, and labour-market data
    Focus Area 4

    Cybersecurity

    Cybersecurity participants can address the security risks emerging as organisations increasingly adopt AI and digital workplace technologies.

    Possible ideas

    • AI-driven employee security awareness platforms
    • AI adoption risk assessment tools
    • Secure AI workplace frameworks
    • Insider-threat monitoring solutions
    • Phishing and social-engineering awareness systems
    • Tools that help organisations securely integrate AI into their workforce
    Focus Area 5

    Business Analysis

    Business Analysis participants can identify organisational problems created by AI adoption and translate them into practical business solutions.

    Possible ideas

    • AI adoption readiness frameworks
    • Business process assessment tools
    • Workforce transformation solutions
    • AI opportunity assessment platforms
    • Job redesign tools
    • Systems that help organisations determine where humans and AI can work together effectively
    Focus Area 6

    Agile Project Management

    Agile Project Management participants can focus on how organisations and teams can effectively manage workforce transformation caused by AI adoption.

    Possible ideas

    • AI adoption roadmaps
    • Workforce transformation management platforms
    • Reskilling programme trackers
    • Change-management frameworks
    • Team readiness assessment tools
    • Solutions for managing AI implementation while keeping employees engaged throughout the transition
    Focus Area 7

    Product Design

    Product Design participants can focus on creating accessible, intuitive, and human-centred experiences for people affected by AI-driven workplace changes.

    Possible ideas

    • AI career coaching platforms
    • Reskilling applications
    • Career transition dashboards
    • AI literacy platforms
    • Worker opportunity-matching interfaces
    • Inclusive tools that make AI-powered career services easier to access and use
    Focus Area 8

    DevOps

    DevOps participants can focus on the reliable deployment, automation, monitoring, and scalability of solutions addressing AI-driven workplace challenges.

    Possible ideas

    • CI/CD pipelines for AI career platforms
    • Scalable AI-powered employment services
    • Automated deployment infrastructure
    • Monitoring systems for AI applications
    • Cloud-based platforms that can reliably support large-scale workforce and career solutions
    Focus Area 9

    Financial Analysis

    Financial Analysis participants can explore the financial impact of AI adoption on workers, organisations, and industries.

    Possible ideas

    • AI adoption cost-benefit tools
    • Employee reskilling investment calculators
    • Financial impact dashboards
    • Career transition financial planning tools
    • Models that help organisations determine the financial implications of workforce transformation
    Focus Area 10

    HR Analytics

    HR Analytics participants can focus on the people and workforce implications of AI adoption within organisations.

    Possible ideas

    • AI-readiness assessment tools
    • Workforce skills-gap analysers
    • Employee reskilling recommendation systems
    • Internal mobility platforms
    • AI adoption impact dashboards
    • Tools for identifying roles that may be affected by automation
    Focus Area 11

    GRC (Governance, Risk & Compliance)

    GRC participants can address the governance, ethical, regulatory, and organisational risks associated with AI adoption in the workplace.

    Possible ideas

    • AI governance frameworks
    • Workplace AI risk assessment tools
    • AI compliance monitoring platforms
    • Responsible-AI checklists
    • Algorithmic bias assessment frameworks
    • AI policy management systems
    • Tools that help organisations ensure AI adoption remains ethical, transparent, and compliant
    Focus Area 12

    Health Tech Analysis

    Health Tech Analysis participants can explore how AI is transforming healthcare careers, health services, and healthcare operations. They can use data, technology, and AI to identify workforce challenges, improve healthcare delivery, and help health professionals adapt to changing roles.

    Possible ideas

    • AI-powered healthcare career transition platforms
    • Health workforce analytics dashboards
    • AI skills-gap analysis for healthcare professionals
    • Healthcare workforce demand and opportunity prediction
    • AI-assisted health workforce planning tools
  • Financial Analysis
  • HR Analytics
  • Business Analysis
  • Cybersecurity
  • Product Design
  • Agile Project Management
  • DevOps
  • Dashboard Architecture & UI/UX Usability

    30%
    • Analytical Depth & Analytical Rigor

      20%
      • Actionability of Policy Recommendations

        25%
        • Presentation & Data Storytelling

          15%
          • Methodology Documentation

            10%
            • Total Score100%
            • Dual Evaluation System

              Projects are evaluated by expert judges using the criteria above AND by the public through our People's Choice vote. Both contribute to the final standings.

              Register Now →
            • ☑Interview Prep Package
            • ☑Social Media Feature
            • ☑Digital Badge
            • 👑

              First Place

              Champion

              • ☑Champion Certificate
              • ☑10alytics Recognition
              • ☑Social Media Feature
              • ☑Interview Prep Package
              • ☑LinkedIn Spotlight
              • ☑Alumni Hall of Fame
              • ☑Digital Winner Badge

              Third Place

              3rd

              • ☑Certificate
              • ☑Recognition Feature
              • ☑Social Media Mention
              • ☑Digital Badge
              03

              Verify & Submit

              Enter your name and email. Confirm. Your votes are locked in. One vote per email across the entire event.

              1 Email

              Fraud-Proof Voting System

              Email OTP · Device Fingerprinting · IP Monitoring · Real-Time Detection

              Register Now →

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