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The quality of various strategic and tactical decisions, such as capacity planning, supplier selection, and inventory ordering, directly influences the efficiency and resilience of a supply chain. Limited visibility into various stages of the supply chain, insufficient data availability, and lack of analytics and optimization tools can lead to detrimental consequences in the form of
This blog post explores the capabilities of Midjourney and Scenario, two text-to-image generative AI services, for game asset creation in the context of game development applications. It discusses how these services can generate initial designs, modify them, control wear and tear, weather and light, colors, quantitative details, and mix styles and themes, as well as techniques for creating variations and scaling up the process.
This whitepaper explores the challenges of data-driven personalization and the benefits of using Next Best Action (NBA) approaches for customer analytics and personalization. It also provides use cases for NBA in different industries and guidance on integrating and operating NBA solutions.
Grid Dynamics helped a top tier marketing agency improve their advertising efforts by building a next generation customer data platform on AWS, allowing publishers to better manage the cost of their ad space and target a more specific audience.
This article provides an essential guide to AIOps, explaining its key use cases and benefits, how it enables proactive and automated IT operations, and how to implement it effectively.
Grid Dynamics developed a reinforcement learning based personalization platform to personalize the in-game experience, reduce model development effort, and increase long-term engagement and LTV. The MVP was delivered in 8 weeks and resulted in up to 25% improvement in dollar-per-user compared to baselines.
Grid Dynamics helped a client optimize their promotions across multiple channels and countries by developing demand forecasting models and what-if analysis tools, resulting in increased promotion efficiency compared to previous manual processes.
The client implemented a Grid Dynamics solution to deploy a data analytics platform in the AWS cloud within a week, enabling them to implement AI-powered loss prevention and risk mitigation in fuel distribution, resulting in projected ROI exceeding 650% and $250M of new revenue opportunities.
The article discusses the availability of a white paper that provides an overview of supported use cases, solution features, architecture, and deployment process for a particular solution.
This article provides a hands-on tutorial on various methods and techniques for analyzing and forecasting time series data in enterprise applications, including decomposition, estimating link functions, and analyzing memory effects.
