Reimagine your business with enterprise AI, powered by the cloud (AIM399)

re-imagining your business with enterprise AI

Key Takeaways

Infosys' Perspective on Enterprise AI Adoption

  1. Infosys sees the adoption of data and AI across three "canvases":

    • Canvas 1: Transforming from a digital core to a cognitive core, building the foundation for AI.
    • Canvas 2: Vertical integration of data across multiple domains to create enterprise-level insights in real-time.
    • Canvas 3: Horizontal integration with partners to re-imagine business with a data and AI economy.
  2. Infosys' survey of 1,500 executives found that:

    • Less than 50% of executives are satisfied with their AI work.
    • Less than 20% of AI PoCs (Proofs of Concept) go into production.
    • Key challenges include lack of AI strategy, governance, talent, and data readiness.
  3. Infosys' approach to address these challenges:

    • Building a unified management of AI with smart data fingerprinting and synthesis.
    • Correlating data across domains to drive compounded AI effects.
    • Activating AI across channels with end-to-end governance.

Client Journeys

  1. Spectrum (Steven Rosas):

    • Migrated from a legacy data platform to a modern Redshift data platform.
    • Focused on automation, self-service tools, and change management to enable a smooth transition.
    • Achieved benefits like improved speed, user experience, performance, and 35% cost reduction.
    • Positioned themselves to leverage Redshift's native AI and ML features for their AI journey.
  2. United Airlines (Krishna Srinivasan):

    • Adopted a cloud-first approach to modernize their technology landscape.
    • Created a unified data platform (United Data Hub) to centralize data and enable analytics.
    • Infused GenAI (Generative AI) into their core business processes, such as customer experience and operational efficiency.
    • Faced challenges like technology sprawl, data silos, and the impact of COVID-19, but leveraged Infosys' expertise to overcome them.
  3. Citizens Bank (Juan Acosta):

    • Undertook a massive transformation, consolidating over 100 applications into less than 30.
    • Leveraged Amazon Connect and Lex to enhance their IVR (Interactive Voice Response) and contact center capabilities.
    • Implemented AI-powered features for cross-selling, proactive customer communication, and agent knowledge management.
    • Achieved cost optimization through automation and reduced the need for tellers and contact center agents.

Cloud and Generative AI Perspectives (Dominic Murphy, AWS)

  1. Emerging use cases in 2025:

    • Multimodal AI (processing and generating audio, video, and text)
    • Agentic workflows, automating tasks like prescription medication ordering
  2. Key risk mitigation considerations:

    • Ensuring stakeholder alignment and change management
    • Evaluating value realization and expected business impact
    • Adhering to Well-Architected Framework principles
    • Assessing model performance and governance
  3. Best practices for prototype to production:

    • Balancing quick wins with high-impact, high-effort initiatives
    • Engaging with security, governance, and legal teams early in the process
    • Ensuring regulatory compliance and alignment with stakeholders

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