Data Analytics & AI | AI and ML Services
Empowering your AI/ML journey
Artificial intelligence (AI) and machine learning (ML) tools and technologies will continue to expand in their application and their impact across industries will continue to grow. No matter where you compete, AI and ML initiatives will become integral to realizing success in your business goals. You need to engage subject matter experts that have deep experience in the use and application of AI and other data transforming technology. Pythian has the background, experts and suite of services to guide you through every step of your transformation journey.
AI resource hub
Access videos and other resources from Pythian experts that will help prepare your enterprise to capture the opportunities offered by AI.
AI strategy | AI use cases | Generative AI
Data management services
Getting the most value from your data starts by establishing a solid foundation for collecting, organizing, and managing it efficiently and effectively.
Data platforms | Transformation roadmaps | Managed services
Cloud managed services
You can rely on our managed services experts to keep your cloud-based services secure, operational, and performing at the highest level.
Multi-platform support | Lower costs | More flexibility
Harnessing the power of Google Cloud and conversational AI
Discover how we helped a global digital media and broadcasting company embark on its AI journey by developing a proof of concept for virtual agents that can handle high-volume, low-level IT request tickets.
Navigating the future of data and AI
Get our key takeaways from Google's 2023 Data and AI Trends Report—and what you should consider about cloud platforms, open data ecosystems, AI, and more as you build your strategic plans.
Commodities firm optimizes bid prices on high-volume transactions with machine learning
Discover how a leading commodities firm transformed its operations by using Pythian's machine learning expertise to optimize bid prices, boost margins, and enhance sales efficiency.
AI/ML design and plan services
Get more details on our two-week process for helping you identify and rank AI/ML use cases, define key performance indicators (KPIs), and determine your data requirements.
AI/ML proof of concept
Learn about our phases for building an AI/ML proof of concept—and how, in just eight weeks, we can help you select, develop, and deploy an AI/ML use case with the highest business value.
Google Cloud generative AI MVP
This datasheet guides you through the stages of our GenAI MVP program and how you can get a GenAI use case up and running on Google Vertex AI within four weeks.
