Scaling MLOps on GCP & Securing Exec Buy-In for GenAI: Improved ML Maturity and Smooth Merger Integration for a Global B2B Analytics Leader

Industry: Market Research / SaaS Analytics

Client

Global B2B Analytics Leader

Goal

To scale machine learning operations for both SaaS and consumer-facing platforms, enabling greater efficiency, reliability, and innovation in delivering data-driven insights.

Challenges

  • Building robust, scalable AI pipelines to support growing data and workloads.
  • Ensuring model reliability while integrating new GenAI capabilities.
  • Navigating data and system alignment amid the NIQ merger.

Solution

Built scalable ML Ops frameworks on GCP and deployed transformer-based forecasting models.

Delivered GenAI solutions including a RAG chatbot, survey bots, and receipt-scanning apps.

Expanded impact through talent development and community initiatives.

Impact:

Secured executive-level buy-in for GenAI initiatives.

Improved ML operational maturity across multiple business segments.

Enabled a smooth transition and staff integration during a major organisational merger.

*Case studies reflect work undertaken by our Heads of AI either during their tenure with Head of AI or in prior roles before they were part of the Head of AI network; they are provided for illustrative purposes only and are based on conversations with our Heads of AI.