Cognizant Technology Solutions Corporation · NASDAQ:CTSH

Cognizant Technology Solutions — Investor Presentation (2024)

11 slides from Cognizant Technology Solutions's investor presentation, Nov 27, 2024

  1. Slide 1: Causal AI: Grasp customer behavior to enhance retention of retirement funds

    Casual AI: Grasp customer behavior to enhance retention of retirement funds Using causaLens platform powered by Causal AI © 2024 Cognizant | Private

  2. Slide 2: Executive summary

    Executive summary Problem statement Solution developed Technology used • Insurers often seek to understand how • The ‘Boost Customer Retention’ solution uses • Causal Net Model using PyTorch, CVXPY, or customer behavior affects retention. Causal AI to develop effective retention Pyro engines strateg

  3. Slide 3: Problem statement | Business context

    Problem statement | Business context 01 03 05 Significant life events or job A Tier I North America based The aim is to evaluate the changes may lead over 30% P&C insurer sought to causaLens platform’s ability to of all permanent workers understand the capabilities of create Causal AI models that an

  4. Slide 4: Solution developed

    Solution developed 4 © 2024 Cognizant | Private

  5. Slide 5: Let us walk you through an example

    Let us walk you through an example 5 © 2024 Cognizant | Private

  6. Slide 6: What happened?

    What happened? Context/Background Key takeaways • The company sought to understand customer A retirement plan provider interactions’ impact on retention in North America serves • They found traditional machine learning millions of plan holders inadequate for strategy optimization. with various accou

  7. Slide 7: What was the next Plan of Action?

    What was the next Plan of Action? A retirement plan provider’s data strategy team built Causal AI model using the causaLens platform where the team: • Relies on deep data insights to understand key causal factors for customer attrition • Looks to build actionable customer retention strategies using

  8. Slide 8: What are the business values?

    What are the business values? It is recommended that insurers could benefit from adopting this data Additionally, our causal AI solution identified: science based Causal AI technology, since it: 6 key causal variables influencing around 80% of causal relationships Enhances predictive accuracy 1 impa

  9. Slide 9: Key capabilities (1/2)

    Key capabilities (1/2) Human Guided Causal Discovery Graph Generation The Retirement Insurers' data strategy team inputs synthetic datasets into the decisionOS module, which employs the Human Guided Causal Discovery (HGCD) process. This generates a Causal Graph that identifies causal factors influen

  10. Slide 10: Key capabilities (2/2)

    Key capabilities (2/2) Actionable Strategies based on Counterfactual Scenario Modeling The data strategy team of Retirement Insurers uses causaLens platform's modeling module to introduce intervention and counterfactual scenarios. This tool allows for accurate analysis of "what-if" situations, gener

  11. Slide 11: Thank you

    Thank you 11 © 2024 Cognizant | Private

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