About Gino Cobarrubias
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But we are proud to say that Gino Cobarrubias contributed 54 entries already.
Entries by Gino Cobarrubias
Scaling Self-Service Analytics Without Losing Control in an Enterprise B2B Organisation
A global enterprise B2B organisation operating across multiple regions sought to expand self-service analytics to reduce reliance on central data teams and accelerate decision-making. Sales, marketing, finance, customer success, and operations leaders all required faster access to performance data — particularly as AI-enabled tools were introduced to assist with forecasting, pipeline analysis, churn prediction, and revenue reporting.
Enabling Real-Time Decisions at the Point of Action in Contact Centres
A large multi-region contact centre faced exactly this challenge. Despite significant investment in telephony platforms, CRM systems, digital channels, workforce management, and AI-enabled routing, reporting remained voice-centric, inconsistent, and partially delayed.
Delivering AI Observability and Decision Accountability in Utilities
A national utilities provider managing electricity and water infrastructure began expanding its use of advanced analytics and AI to improve outage prediction, demand forecasting, asset maintenance prioritisation, and regulatory reporting.
Operationalising AI with Trusted Data Foundations in the Financial Services Industry
A mid-tier financial services organisation was accelerating its use of AI across risk modelling, customer insight, fraud monitoring, and executive reporting. Like many institutions in 2025, the organisation saw AI as a way to increase decision speed, reduce manual analysis, and improve predictive accuracy.
Building Compliance-Ready Data Foundations for AI in Government Services
A national government department began expanding its use of AI to improve citizen service delivery, detect anomalies in public program administration, and streamline internal reporting. AI tools were introduced to support case triage, risk flagging, document analysis, and executive insight generation.

