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Cloud Data Engineering

Cloud Data Engineering

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Our Enterprise Data & Cloud Solutions & Services are powered by a comprehensive set of assets and accelerators, assessment and diagnostic frameworks, best practices, and design and development guidelines that are simply sustainable and self-serve. With our Data Engineering services:

  • Strategy, Advisory, Workshops, & In-depth Assessments
  • Next Gen Enterprise Cloud Solution Design, Architecture & Engineering
  • DL & DW Modernization, Migration & Deployment
  • Optimization & Management
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AI Process Layers
Artificial Intelligence

Halcon AI - Computer Vision, Industrialized

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Get complete control over custom computer vision use cases with the help of a secure hybrid system paired with Edge-AI and designed to manage all operations on-prem and cloud to deliver critical insights to industries and improve their processes. Enterprise-level vision annotation takes data insights to the next level through artificial intelligence. Equipped with machine vision to analyze manufacturing images and detect quality problems.

Why Halcon AI?

  • AI-assisted Annotation
  • Packed with Edge-AI
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RunML

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Monitor key metrics in each cycle of MLOps that allows your Data Science teams to focus on what matters the most. RunML is powered by SnowPark, Ray, DASK, and SPARK in data processing which scales down to single computers and out to clusters. Moreover, deploy RunML on any platform with various capabilities and get alerted from different integrations, such as Slack, Microsoft Teams, datadog, etc.

Why RunML?

  • Universal compatibility
  • Monitoring Dashboard
  • User-friendly UI
  • No extra infrastructure needed
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AI Foundational Models

AI foundational models are the cornerstone of artificial intelligence development, serving as the building blocks that can be augmented to enterprise business systems to accelerate and reap AI benefits. They come with containerized digital assets that are platform-agnostic, customizable, and Ready to Run.

Why AI Foundational Models?

  • Minimize AI implementation up to 30%
  • Reduce FTE costs by up to 20%
  • Overall project time reduction by more than 15%
  • Increase forecast accuracy by 5% on top of the existing scenario
  • Data and scenario-specific model finetuning
  • Easy integration into the legacy environment

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Computer Vision

DCAP

Leverage the power of AI and machine learning to automate document data capturing to focus on the higher-value tasks. DCAP captures data from multiple document types such as Invoices, purchasing orders, contracts & agreements, tax documents, and more.

Why DCAP?

  • Simple set up
  • Capture data from multiple document types
  • Universal integration
  • Intuitive AI
  • Scalability

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