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Databricks Intelligent Platform in 45 Days - Accelerated MVP Platform Fundamental
Databricks Intelligent Platform in 45 Days (DBxIQi45) is designed to help you create a Data Science and AI solution in Azure Databricks quickly and efficiently in just 6-weeks.
The Databricks Intelligent Platform in 45 Days (DBxIQi45) is designed to help organizations create a Data Science and AI solution in Azure Databricks quickly and efficiently within a 6-week timeframe. This offering leverages prebuilt infrastructure deployment modules for a secure Azure Databricks Intelligent Platform Deployment, enabling a governed enterprise data framework and new platform setup with ease. The cost of the offer is $150,000.
Organizations often face challenges in quickly and efficiently creating a Data Science and AI solution, including the need for secure infrastructure, a governed enterprise data framework, and a new platform setup that can be implemented within a short timeframe. The Databricks Intelligent Platform in 45 Days (DBxIQi45) addresses these challenges by providing a comprehensive offering that leverages prebuilt infrastructure deployment modules for a secure Azure Databricks Intelligent Platform Deployment.
This solution enables organizations to establish a Minimum Viable Product (MVP) platform, enhance it to production-grade operational processes, and scale it to deliver hundreds of use cases at scale. The approach includes conducting analytics and design workshops to implement Databricks Data Science, AI & ML Landing Zones, modeling the lighthouse use-case and data assets, and sketching out the AI and ML solution architecture.
The end-to-end solution architecture vision for one AI/ML use-case is executed, feedback is gathered, and iterations are made. Deliverables include secure and scalable deployment of the platform, comprehensive documentation and source code for the deployed solution, and the design and delivery of one AI/ML end-to-end pipeline.
The timeline for the offer is divided into three phases: Weeks 1 & 2 involve designing and delivering a data model, analytical solution, data product, or AI service to meet business needs; Weeks 3 & 4 utilize Databricks capabilities to automate data processes and activities in a Unity-enabled Azure Databricks environment; and Weeks 5 & 6 iterate, monitor, and optimize the data product and service, providing education and documentation for management and maintenance.