Affable's Success with Google Cloud: Processing 100 Million Events Daily
Technology Category
- Analytics & Modeling - Machine Learning
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Education
- Equipment & Machinery
Applicable Functions
- Logistics & Transportation
- Product Research & Development
Use Cases
- Clinical Image Analysis
- Predictive Maintenance
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
About The Customer
Affable is a Singapore-based startup that has developed an AI-based influencer marketing platform. The company tracks over 1 million micro-influencers across various social media platforms such as Facebook, YouTube, Instagram, and others. Its platform provides curated lists of relevant influencers to clients, complete with demographics, interests, and brand partnerships of followers. These lists are generated through machine learning, which also allows the business to detect fake followers. Founded in October 2017, Affable enables brands and marketers to discover, measure, and engage social media micro-influencers, presenting opportunities to promote products and services.
The Challenge
Affable, a Singapore-based startup, has built an AI-based influencer marketing platform that tracks over 1 million micro-influencers across various social media platforms. The company's challenge was to process vast amounts of data and images to recommend key micro-influencers to clients for promoting their products and services. The business was processing 100 million events through its data pipelines and using machine learning models to serve up to 20 million image requests per day. The agility and responsiveness were critical to the success of the business. However, the company was struggling with the fast delivery of accurate, actionable influencer data to meet client demands. The company initially started running its platform on a traditional cloud service, but soon saw an opportunity to use machine learning and big data analysis to create even more value for its clients.
The Solution
Affable evaluated Google Cloud and found the platform to be the easiest to use. Google Cloud offered compelling machine learning and big data processing, management, and analysis services. It was also more developer-friendly, allowing the team to get started and complete work faster. The platform was scalable and incorporated a range of managed services, enabling Affable to execute its strategy of focusing its developers and data scientists on delivering value. Affable finalized its Google Cloud deployment in April 2019 as use of its platform began to surge. The Google Cloud architecture comprised AI Platform, BigQuery, Cloud SQL, and Pub/Sub. With these tools, Affable was able to build a recommendation engine that identifies the influencers most compatible with clients’ needs in just two weeks. Pub/Sub acted as the data-streaming backbone that funneled data to the engine from various sources.
Operational Impact
Quantitative Benefit
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