Marketing analytics

Ignite Vision, a Hong Kong-based marketing technology company, built an influencer matching platform on Alibaba Cloud to analyze millions of Southeast Asian influencer profiles across multiple platforms and languages.The platform uses Qwen large language models for semantic understanding, ECS for elastic compute, OSS for unstructured assets, and Alibaba Cloud database infrastructure including PolarDB to support matching and retrieval at scale.

Ignite VisionProfessional Services

Incrementa is a Chilean hybrid marketing agency that uses Google Cloud AI to analyze large volumes of campaign data and turn it into strategic consulting output.The implementation centralizes advertising data from Meta, Google Ads and TikTok in BigQuery, uses Cloud Run to extract data from APIs, and uses Gemini Enterprise Standard as the natural-language front end.The workflow also incorporates unstructured context from client materials in Microsoft OneDrive so the analysis combines structured and unstructured information.

IncrementaProfessional Services

Clear.bio used Google AI to scale personalized digital nutritional interventions by automating data prediction workflows and partner targeting.The company replaced manual identification of high-potential healthcare practices with an AI-driven predictive model and automated pipeline.

Clear.bioHealthcare

BlueOceanAI built Spark, an always-on, domain-specific multi-agent framework for marketing and brand intelligence on AWS.Marketers query proprietary brand and market data in natural language, and Spark decomposes complex questions into sub-questions handled by specialized agents.The system uses Amazon Bedrock with Anthropic Claude models and Amazon SageMaker AI, plus open-source multi-agent frameworks and role-specific prompt libraries.

BlueOceanAIProfessional Services

Filum is an AI-powered Unified Customer Experience Platform that helps enterprises transform fragmented customer data into actionable business intelligence for customer loyalty and growth.The company originally managed pipelines with manual Python scripts and spreadsheets, but as it onboarded large retailers such as ZUS Coffee and GS25, the volume and number of integrations became unscalable.To address the lack of in-house DevOps capacity, Filum moved to a fully serverless Google Cloud architecture using BigQuery for schema-less ingestion and Cloud Run / Cloud Run functions for isolated client integrations that auto-scale in real time.The customer story says Filum also uses Gemini for instant customer insights and plans to integrate Vertex AI into internal workflows as part of an AI-first product strategy.

FilumRetail

LiveRamp helps businesses unlock first-party data value by embedding identity resolution into BigQuery.The approach enables secure data collaboration with trusted partners without moving data, helping marketers build a more unified customer view and improve personalization.The article highlights challenges around data silos, cross-channel identity resolution, and evolving privacy regulations.

LiveRampTech & Comms

Microsoft and Publicis Groupe are expanding their strategic partnership to build a full-stack marketing solution that unifies legacy systems, AI agents, and identity-based data to accelerate marketing outcomes in the era of agentic AI.Publicis Sapient’s Slingshot framework will leverage Microsoft Azure as a modern cloud foundation for migrating legacy systems to cloud-native AI foundations.Sapient AI solutions integrate Microsoft Copilot Studio, Microsoft Agent 365, and Microsoft IQ, while Bodhi scales secure enterprise-grade AI agents across operations, commerce, marketing, and customer engagement.

Publicis GroupeProfessional Services

Bancolombia is experimenting with Amazon Nova and Amazon Bedrock to generate visual assets for marketing campaigns.The workflow uses automated retrieval of prior campaign images and metaprompting to generate prompts for Amazon Nova Canvas.

BancolombiaFinance

World Vision Germany undertook a major digital transformation to optimize its fundraising and donor management operations. Previously, the organization relied heavily on external vendors for donor communications and lacked an internal CRM system, limiting their ability to personalize interactions and manage data effectively.Partnering with GOB, World Vision Germany implemented Dynamics 365 and associated Microsoft technologies. The transition enabled in-house management of donor journeys, real-time data tracking, and significant automation of donor service processes.With Dynamics 365 Business Central, Dynamics 365 Customer Insights, Microsoft Fabric, Power BI, and Azure SQL, the organization established an integrated platform for donor management, fundraising campaigns, and data-driven strategy setting.Fundraising email journeys are now automated and tailored, improving campaign responsiveness and allowing segmentation based on donor interests. Automation now covers half of the donor service processes, freeing staff to focus on individualized donor engagement and relationship building.Emergency fundraising campaigns, such as responses to natural disasters, can be launched within hours using the new system, with full control over communications and follow-up.Data centralization enables KPI-focused leadership via Power BI dashboards, supporting real-time analytics and predictive modeling to refine fundraising strategies.The overall modernization has reduced vendor spending and administrative overhead, increasing efficiency and directing more funds to the field work supporting children, families, and communities globally.

World Vision GermanyOther

A B2B software company, assisted by partner JourneyTeam, sought to drive efficiency in sales operations by automating repetitive CRM tasks. Manual processes such as lead qualification, follow-ups, sales pipeline management, and meeting data logging were bottlenecks. By deploying Copilot Agents built in Copilot Studio and integrated with Microsoft Dynamics 365 and Teams, the organization created autonomous workflows to enhance the speed and quality of customer interactions. Specific agents scored and qualified leads, generated tailored follow-ups, logged CRM updates after meetings automatically, and provided real-time sales forecasting via Power BI. These automations reduced manual input requirements—from email follow-ups that took 15 minutes to now under 1 minute, and CRM updates that required no manual typing. The initiative underscores how generative AI and Copilot Agents are redefining CRM tasks and improving sales outcomes.

B2B Software FirmTech & Comms