AI and iGaming Come Together

Background

Symphony Solutions helps Graphyte launch a new service, the only recommendation platform for the iGaming industry.

AI is currently the hottest and trendiest technology, revolutionizing industries and reshaping the market. Its immense potential and capabilities have captured the attention of businesses worldwide. In the realm of iGaming, AI is gaining significant popularity and proving to be incredibly useful. With AI-powered algorithms and machine learning techniques, iGaming companies can enhance player experiences, and personalize recommendations. The seamless integration of AI in iGaming opens up new avenues for innovation, propelling the industry forward and creating exciting opportunities for both businesses and players alike.

Symphony Solutions, an experienced player in the iGaming industry, is at the forefront of this transformation. We have helped Graphyte to launch a new AI-powered service, the only recommendation platform for the iGaming industry.

While Symphony Solutions already provides fully-fledged sportsbook platforms for some of the largest clients in the industry, their collaboration with Graphyte brings a new realm of innovation and collaboration.

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Client

Graphyte, an Optimove company, is the AI-led marketing personalisation platform built specifically for the betting and gaming industry. Graphyte helps betting and gaming operators put the right games and bets in front of the right customers at the right time, tailoring the digital experience at any touchpoint (web, mobile, social media, digital terminals in shops) for every customer when they interact with a brand. Founded in 2018 by technical and analytics experts from within the betting and gaming industry, Graphyte is powering the on-site experience received by millions of gaming customers every day. Teams across marketing, customer experience, product, operations and engineering use Graphyte daily to deploy personalised experiences, dynamic lobbies and hyper-target marketing campaigns through CRM and third-party advertising channels.

Challenges

Graphyte was a small start-up in October 2018 when they came to Symphony Solutions, having developed PoC, including public website, a back-office website, ML models, and a service to enable iGaming operators to recommend personalized content. Graphyte had been demonstrating their system to potential clients when they approached Symphony Solutions. They needed help in solving technical challenges with PoC, primarily scale and database performance related issues.

Symphony Solutions evaluated the situation and outlined immediate problems:

1. Lack of development/demo/production environments.
2. Manual release process, manual changes without version control.
3. Lack of resources for system maintenance.
4. A bottleneck created by relational database in the center of the system.
5. Unnecessary latency.

But these were just the Level I technical issues that needed to be solved.

Solution

The first level issues were addressed:

• Implementation of automatic infrastructure deployment by following laC principle,
• Development of pipeline for Continuous Integration,
• Moved all application code under source control system,
• Transferred system components to microservices,
• Switched from relational database to DynamoDB database and streaming data processing,
• Designed batch processing layer using Data Lake technologies, such as Athena, S3, Kinesis Firehose, AWS Glue, and AWS Batch.

Level II

The bigger problems were ML/AI modeling scaling issues that accompany rapid growth in a short time. The teams worked quickly:

• A Machine Learning engineer was added to the team,
• PoC research was conducted to build a generic model for all clients in sports and gaming domains,
• Technical gaps in the production system were addressed to enable the Graphyte ML/AI engine to accommodate real-time inventory updates.

Result

Within our custom software development and cloud native development services, the Grahpyte and Symphony Solutions collaboration went from demo to production in a very short time, specifically:

• Created, improved and launched the service,
• Created barrierless integration for ease of client use,
• Improved code readability for maintainability,
• Provides personalized recommendations in 300ms end to end,
• Grew client brands from 1 to 9, which accommodate more than 5 000 000 active client punters per month,
• Projected compute cost reduction by 50%.

As this service and their products continue to penetrate, the business will be poised for extended growth. As more results are produced, this case study will be updated.

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