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TCS CHROMA™
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TCS CHROMA™: A Cloud-based Talent Management Solution
As enterprises adopt new ways of working, read how TCS’ AI-driven workforce management solution helps promote workforce wellbeing & enhance productivity & EX.
Related InsightsAs the corporate work culture evolves, AI in talent management, hybrid workplace, employee wellness, enabling a diverse and inclusive workforce, and reimagined employee experience are some of the HR trends set to dominate 2022.Blog30 May 2022BHFL transforms their Human Capital Management (HCM) solution with an integrated and agile platform in order to drive efficient HR operations and enhance employee experience.Case Studies27 May 2022Know how TCS’ HCM platform helped TMILL digitalize & unify their HR processes across multiple locations on the cloud. Visit TCS for complete case study.Case Studies20 Sep 2019
Highlights
- throughAI Talent AI-as-a-service platform empowers organizations with accurate talent insights driven by TCS’ artificial intelligence and machine learning (AI/ML)-based framework.
- Organizations can leverage the prebuilt models to get AI-generated predictions and recommendations and proactively act upon the issues.
- The subscription-based flexible model enables organizations to achieve business outcomes, drive greater efficiency, and enhance employee productivity.
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Challenge
The adoption of AI/ML for informed decision making is critical for an organization's growth and transformation.
Companies need huge investments to set up in-house infrastructure and capabilities for getting talent insights which can aid data-driven decision-making. AI-as-a-service enables organizations with talent insights without needing the massive upfront investment in talent and resources thereby minimizing investment risks.
Solution
throughAI Talent empowers organizations with talent insights driven by TCS’ AI/ML framework and prebuilt models to augment informed people decisions, enhance employee experience, and address organizational challenges.
The prebuilt AI models within the solution include:
Learning recommendations: Personalized course recommendations for individual employees based on historical patterns and current organizational needs
Attrition risk prediction: Attrition prediction score for individual employees along with key influencing factors which could help retain talent
Salary hike recommendation: Personalized increment suggestions for individual employees based on historical employee compensation data
Promotion recommendation: Individual-level recommendation score along with key influencing factors
Sentiment analysis: Prediction of employee’s sentiment score and polarity
Claims outlier detection: Identification of anomalous expenses with suggestive reasons
Claims forecasting: Periodic claims liability prediction for efficient budgeting
Internal job recommendation: Analyze the internal job posting (IJP) opportunities to make prioritized recommendations for the most suitable employees
Headcount forecasting: Forecast headcount requirement at different organizational hierarchies
New hire scoring: Identification of best-fit candidates before offer rollouts
Successor recommendation: Predict relevant successors for key positions through intelligent evaluation of employee traits
Benefits
Self-service: Get predictive talent insights from business data
Rapid outcome: Leverage prebuilt models to generate rapid predictions
Seamless collaboration: Improve decision-making and derive talent insights through continuous collaboration
Affordability: Leverage subscription-based flexible model for higher ROI
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Ensuring Effective Talent Acquisition in a Hybrid Workplace
Blog
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BFSL Achieves Seamless Talent Management with TCS CHROMA™
Case Studies
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14 Oct 2022
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