Grid Dynamics Insights
Driving the future of
enterprise AI with Grid
Dynamics and Google Cloud
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Our offerings combine strong domain expertise, world-class engineering capabilities, pre-packaged assets, and a deep relationship with Google Cloud to create a unique value proposition for our customers.
The result is speed, efficiency, and reduced costs in building and deploying AI at enterprise scale.” — Ilya Katsov, Vice President of Technology at Grid Dynamics.
Our offerings combine strong domain expertise, world-class engineering capabilities, pre-packaged assets, and a deep relationship with Google Cloud to create a unique value proposition for our customers.
The result is speed, efficiency, and reduced costs in building and deploying AI at enterprise scale.” — Ilya Katsov, Vice President of Technology at Grid Dynamics.
Generative AI emerges as a transformative force for enterprises and large organizations, unlocking creativity, reducing costs, and streamlining business operations to drive better decision-making and ultimate growth. However, many enterprise AI solutions fail to reach their full potential due to the ‘AI chasm’, a gap between development and deployment, causing them to fade into obscurity.
With generative AI as a valuable growth catalyst and a proven track record of deploying pragmatic data science and AI technologies, Grid Dynamics bridges this gap, breaking new ground for enterprise clients. Our expanded partnership with Google Cloud—to be one of its generative AI implementation partners—reaffirms our AI for enterprise leadership and accelerates the development of best-in-class solutions using Google Vertex AI.
In this ebook, we discuss how we leverage our artificial intelligence and machine learning model expertise and vendor partnerships to develop practical solutions for your business by addressing the following points:
A snapshot of Grid Dynamics’ rapidly evolving generative AI offerings
AI Product attribution
Problem: Despite significant investments in catalog attribution, retailers and brands continue to struggle with proper product attribution, especially in marketplaces.
Solution: Experience our revolutionary approach utilizing large language models to analyze, harmonize, and enrich product data, unlocking its full potential to increase data fidelity and enhance customer experience.
Visual Generative AI for Commerce
Problem: In digital commerce, brands and retailers face challenges with costly photoshoots, 3D rendering, scalability, and limited personalization for product visuals.
Solution: Transform your digital commerce experience by incorporating your product images into generative models, enabling hyper-personalization and scalable content generation across various environments with high fidelity and advanced post-processing techniques.
Conversational knowledge assistant
Problem: Enterprises struggle with managing internal documents, leading to knowledge gaps and inefficient onboarding and training processes.
Solution: Our LLM-powered Conversational Knowledge Assistant revolutionizes enterprise knowledge management, training, and access to essential information with natural language interaction and intelligent search capabilities.
Generative AI product design
Problem: Product designers spend massive amounts of time ideating, modifying and prototyping new product designs, where creative inspiration is often spurned.
Solution: Empower your product design teams, enhance collaboration, and inspire creativity with cutting-edge language-to-image and image-to-image tools to accelerate the product design process with a few basic text prompts or visual cues.
Legacy code modernization
Problem: Modernizing outdated software systems to improve maintainability, scalability, and alignment with current technology standards is a time-consuming and arduous task.
Solution: Unlock the potential of your legacy codebase with AI-powered conversion, effortlessly transforming outdated systems into modern, scalable software using large language models for efficient and accurate code migration.
AI Focus Groups
Problem: Traditional focus group methodologies lack efficient participant recruitment, geographical reach, and real-time insights.
Solution: AI-based focus groups enable you to analyze user-generated content, identify brand messaging, product and customer service improvements, and predict social media campaign performance through engagements with virtual personas powered by large language models.
