Building AI applications is a complex process that involves wrangling vast amounts of unstructured data, developing and testing machine learning models, and deploying solutions at scale. For organizations looking to accelerate their AI initiatives on Microsoft Azure, Dataloop provides an end-to-end AI Development platform that simplifies each step of the development cycle.
Building AI applications with Dataloop on Azure
As a product in the Azure Marketplace, Dataloop enhances trust and credibility through Microsoft’s verification process. Azure customers can purchase Dataloop licenses directly through the marketplace and apply existing consumption commitments (MACC) to better manage costs and budgets for AI projects. This strategic partnership streamlines procurement and promotes faster value realization.
With Dataloop available natively on Azure, organizations can focus on creativity and innovation instead of infrastructure management. The fully-managed platform handles provisioning, scalability, backups, updates and more behind-the-scenes. Teams can organize their entire AI development lifecycle in one centralized location to build cutting-edge applications that drive real business impact.
Subscribing to Dataloop on Azure Marketplace
To subscribe to Dataloop in the Azure Marketplace, search for Dataloop and select “GET IT NOW”.
About Dataloop’s AI Development Platform
For enterprises prioritizing AI on Microsoft’s cloud, Dataloop provides a one-stop shop to streamline data preparation, model development ,deployments and workflow orchestration into a single collaborative environment. Its availability in the Azure Marketplace simplifies procurement while accelerating time-to-value.
Developers can easily explore petabytes of text, image and video data to identify important insights. Advanced natural language capabilities like Generative AI, Reinforcement Learning with Human Feedback (RLHF), and algorithms are integrated to power more refined models in less time.
Pre-built AI solution templates and a thriving marketplace offer readily-available components to jumpstart projects. Users can visually configure data and model pipelines or code custom workflows using the Python SDK. This flexibility enables teams to efficiently deliver production ready AI applications tailored to their specific needs and use cases.
Data Security and Compliance
A key benefit of the Dataloop platform is its ability to support flexible deployments on any infrastructure. Customers have the choice to use Dataloop fully-managed on Azure or deploy on their own virtual private clouds, air gapped environments, and on-premises servers. Strict adherence to standards like GDPR, ISO 27001, SOC 2 Type II ensures sensitive data and intellectual property remain secure.
