Leadership Synergy: How Software and D&A Leaders Can Drive AI Innovation

Boost collaboration, link technical execution to data and align staffing practices to your IT operating model.

A coordinated approach to lead with AI

Software engineering and D&A leaders often struggle to develop team synergies around emerging technologies, particularly in AI advancements. There is an increasing need for an orchestrated, multidisciplinary approach to building and operating AI solutions with quantifiable, traceable measurement of costs and business results.

Software engineering leaders typically serve as technology leaders while most data and analytics leaders serve as business leaders within their organizations. This has traditionally led to organizational silos. Improving their collaboration and decision making requires significant cultural and organizational change.

Strengthen executive leadership collaboration

Access key findings and recommendations to help drive advancements through D&A and software leaders’ collaboration.

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    Drive innovation through stronger partnerships

    Who is primarily accountable for AI initiatives?

    Organizations fall into three categories when it comes to AI initiatives: decentralized, siloed or unclear. Fewer than a quarter of organizations are aligned to a clear role.

    Break out of leadership and team silos

    After traditionally working in silos, improving executive collaboration and decision making requires significant cultural and organizational change.

    Improve productivity across the organization

    Agile collaboration between software developers, data scientists and data engineers enhances data access and team productivity when compared to working separately.

    Keep up with the rapid updates of new technology

    AI, including generative AI, represents a unique technological disruption due to its extensive capabilities and complexity. This presents challenges around scoping efforts and capturing risks.

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