Cloud Integration

Unlock seamless scalability, enhance performance, and drive innovation with Predikly’s Cloud Integration services. By leveraging advanced cloud engineering and deep expertise across platforms, we enable your business to integrate applications, data, and workflows effortlessly. Transform your operations, reduce complexity, and unlock the full potential of cloud-driven solutions with our tailored, end-to-end integration strategies.

Our Cloud Integration Services

Seamlessly connect, scale, and optimize with Predikly’s Cloud Integration solutions. Our expertise ensures smooth migration, secure connectivity, and efficient orchestration across multi-cloud environments. By enabling real-time data access and automating workflows, we help your business reduce downtime, enhance collaboration, and unlock the full potential of cloud infrastructure for accelerated growth.

Key Features

Reusable Architecture

The same application framework can be deployed across multiple projects, enhancing versatility

Reduced Development Time

Accelerates the initiation of new projects by streamlining dataset preparation

Cost Efficiency

Minimizes the costs associated with developing similar pipelines repeatedly.

Optimized Processing Speed

Apache Beam and Dataflow reduced processing time from hours to under an hour.

AI-Powered Lung Analysis: Glowing Blue Hologram for Future Healthcare
Disease Detection System
  • Overview: Enhance disease detection in agricultural crops using cloud-based AI models.

  • Solution: A farming cooperative needed to deploy an AI model for detecting diseases in crops using images from various sensors. We integrated the model into a cloud platform, enabling real-time analysis and updates.

  • Key Features:

    • Scalable Model Deployment: Easily scales the AI model to handle large volumes of image data from multiple sources.
    • Real-Time Analysis: Delivers instant disease detection results, allowing for timely interventions to protect crops.
 
Digital food traceability network with interconnected icons representing various stages of food production
Fruit Classification Model
    • Overview: Automate fruit classification through cloud integration and machine learning
    • Use Case: A food distributor required a solution to classify fruits based on quality using a machine learning model. We integrated the model into a cloud-based pipeline to process images and data efficiently
  • Key Features:
    • Unified Data Processing: Combines image data and metadata from various sources for consistent classification

Instant Reporting: Provides real-time classification results, enhancing quality control and operational efficiency

Features of our Cloud Integration services:

Cloud-based Model Training: Our solutions enable scalable training of machine learning models, harnessing the power of cloud computing to handle large datasets and complex algorithms

Scalable ML Model Deployment: We provide frameworks for deploying models in the cloud, ensuring they can easily scale with your business needs and traffic demands

Cloud-based Data Pipelines: We design efficient data pipelines that integrate multiple cloud sources, enabling real-time data processing and analysis

Model Hosting and Management: Our services include robust hosting and management solutions for your ML models, ensuring high availability and performance

Managed ML Platforms: We offer managed platforms that simplify the deployment and maintenance of ML models, allowing your team to focus on innovation

API Integration for Cloud Services: Our solutions facilitate seamless API integration with cloud services, enhancing interoperability and data flow

Cross-cloud ML Solutions: We develop cross-cloud strategies to leverage the best features of different cloud providers, optimizing performance and cost-effectiveness

Simplify your cloud journey with seamless integration. Partner with Predikly to connect your business, optimize workflows, and unlock limitless scalability.