1,427 Companies

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Spotfolio tracks over one million companies in technology industries.

There are 1,427 companies in the field of Big Data on spotfolio that produce or deliver products, that utilize or research technologies or that are otherwise engaged in topics such as Data, Machine-Learning, AI, ML, Analytics, Machine, Learning, Intelligence .

Start-ups (359)

Early-stage companies (580)

Established companies (418)

The majority of these companies is located in the following countries.

United States (711)

India (112)

United Kingdom (102)

Canada (45)

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Request Demo Powerful Monitoring of ML-Model With Qualdo™, it is really simple and easy to continuously monitor ml-model performance in Azure, Google & ...

completeness, consistency, timeliness, standardisation & anomalies related to your ML-Model datasets? Feature Drifts Would it be wise to spend a whole lot of ...

suddenly plummet? ML Metrics & Re-tuning Triggers Wanting to track overall performance of ML-models and automate re-tuning of ML pipelines without a ...

trivial manual monitoring? KQIs & Quality Gates Are you a data science or ML Steward wanting to monitor overall quality to keep a strict tab on results ...

Are you an ML Engineer wanting to do everything from your code? Don't wait to use our SDKs in your popular ML libraries to monitor your ML Models! Plug-n-Play ...

Plug-n-Play & Automatic Monitoring of ML-Models on Azure, AWS & GCP Worried about where things might go wrong once an ML-Model is deployed in production? No

monitoring and improving data quality for enterprises adopting a multi-cloud, ML and modern data management ecosystem. Request Early Access Algorithms to ...

eagle eye on data drifts in your input datasets and output ML-model predictions. Monitor ML-Models For DevOps and DataOps Effortlessly compare data consistency ...

process Data, Feature and Model Decays Data scientists can confidently deploy ML-models and leave Qualdo™ to monitor the drifts, shifts and decays. Get Started ...

for the modern data ecosystem. Schedule a Demo Proprietary Data Quality & ML-Model Monitoring on Azure, AWS and Google CloudTry Qualdo™ Today! Please ...

Infrastructure - All Data Quality Metrics - All ML Monitoring Metrics - Custom DB Integrations - Custom ML Integrations - Custom Notifications - Custom Visualizations ...

mission-critical ML & data issues, errors, and quality in your favorite modern database management tools. Sitemap - Qualdo™ for ML Model Monitoring

Persona.tech

start-up

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Providers Simple yet sophisticated ML/AI/Data Consultants A capable asset for your portfolio Persona.tech ML Platform Natively integrated to Big Data ...

familiar APIs of generic ML technologies, collaborative development, open and extensible SLA Support with customizable SLAs ML Systems One-line deployment ...

deployment Available as microservices Technology Partnership - Solid ML-engine that learns from human behavior and can make such inferences to extend your ...

Technologies which you can adapt instantly with your current knowledge of ML/Data technology ecosystem - Discussion-list on solution architecting Application

meritocracy Relying on (sometimes proprietary) sophisticated, generative ML Models of Mining of Human Dynamics and scalable prediction servers powering ...

technologies and tightly integrated into major cloud platforms. The team includes ML scientists, seasoned Big Data engineers and ex-management consultants with ...

analysis. We have strong ties with the academia and a community of experienced ML researchers and engineers. The office is in Zincirlikuyu, Istanbul (Boston

hydrosphere.io

start-up

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Hydrosphere is an open-source MLOps platform for deploying, managing, and monitoring ML models in production with Kubernetes. Hydrosphere supports all major machine ...

happen. Hydrosphere offers immediate value to ML-based products: Сovers all aspects of the production ML lifecycle - model versioning & deployment, traffic ...

them. Improves business metrics of ML-based products as a result of a reduction in MTTR and MTTD incidents related to ML models due to early alerts once data ...

data drifts happen. Why Hydrosphere?#why-hydrosphere Production ML is a dangerous place where numerous things can and usually do go wrong, making issues ...

production part of the ML lifecycle combining best practices of CI/CD and DevOps and putting special emphasis on monitoring performance of ML models after their ...

between the tools of each step of production ML lifecycle Long time to find & debug issues with production ML Models Monitoring for Model Degradation and

Product - About Us - Docs - Blog - Request Demo Monitoring Your Production ML Detecting and explaining problems with your production data Request a demo ...

Hydrosphere Monitoring detects data drifts, monitors the performance of deployed ML models and alerts you when data issues happen. Learn about Monitoring Interpretable ...

Hydrosphere Monitoring detects data drifts, monitors the performance of deployed ML models and alerts you when data issues happen. Learn about Monitoring Interpretable ...

Hydrosphere Monitoring detects quality issues with incoming data and alerts your ML team if they need to take a closer look at the failing machine learning model ...

model. Learn about Monitoring Comply with regulations by interpreting your ML Explain the reasoning behind your model predictions when you need it. Understand ...

model or comply with AI regulations. Learn about Interpretability Faster ML Launch Hydrosphere Serving is a solution for deploying machine learning artifacts

Dato ML

start-up

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Dato ML - Home - Insights Drop dropout from Tensorflow February 9, 2017 To reduce overfitting, you may apply dropout before the readout layer. If try

Dato ML - Home - Insights Search image by image with Tensorflow June 28, 2018 This note is about how to make a simple image search by another image

Trendwise Analytics

early-stage

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Skip to content Trendwise Analytics AI and ML Experts About Us > Trendwise Analytics is a Bangalore-based Software Company, specialising in the area ...

progress into the rapidly developing Industry, shifting its focus towards AI and ML related services. Currently, Trendwise Analytics conducts Training in the

Skip to content Trendwise Analytics AI and ML Experts SAP Labs Trendwise Analytics is working Closely with SAP Labs to build a Big Data solution on

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