SymphonyAI
Predictive AI

Built for rapid time to value

Decisions at scale

Get the information you need, when you need it to make decisions in real time.

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Petabyte scale data

Easily manage large volumes of data in a lakehouse that operates at petabyte-scale in production environments.

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Tuned ML algorithms

Effective and efficient, designed for specific vertical applications and workflows at scale.

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Predictive AI

A fundamentally different approach to AI

Packaged AI applications from SymphonyAI drive rapid value in production environments. No building from scratch. No expensive services deployments.

Successful AI requires
Successful AI requires predictive ai Successful AI requires predictive ai
Scale, security, performance, cloud and on-prem deployment

SymphonyAI uniquely drives rapid value in production environments

A range of advanced ML algorithms at scale, with feature engineering applied to specific use cases for proven results. The Eureka ML platform uses various advanced ML algorithms at scale, with feature engineering applied to specific use cases for proven results. SymphonyAI applications use the right supervised, semi-supervised, or unsupervised machine learning tuned and optimized to address specific industry use cases.

Forecasting predictive ai
Forecasting

For time series and demand forecasting for industrial manufacturing and retail assortment and promotions.

Recommendation systems

For risk detection and compliance in financial services.

Recommendation systems predictive ai
Clustering

For marketing and merchandizing insights and customer predictions in retail/CPG.

Clustering predictive ai
Computer vision-based predictions

For quality applications in industrial and forecasting for retail store intelligence.

The Eureka AI platform

 

Best-in-class AI technology

Next-gen predictive and generative Eureka AI architecture

 

 

The Eureka ML platform supports all open-source libraries, and Python SDK to help ML engineers and data scientists move fast to tune, train, and deploy ML as needed. The platform runs training and inference loads, using both CPUs and GPUs as needed.

 

The advanced Eureka ML platform’s purpose-built MLOps tools manage ML algorithms and models so applications are accurate and powerful as the day they went live, and learn over time.

 

  • Model drift management: Simple and easy to manage model drift and retraining
  • Automatic Feedback: Built in tools help tune ML models to make sure they are operating within set constraints
  • Dynamic learning: On historical data or fresh, real-time data to unearth new elements that should be incorporated

What’s new

PepsiCo Northern Europe embraces SymphonyAI Retail shopper insights to build business across multiple categories

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Foodstuffs Leverages Shelf Planning and Planogram capabilities to automate, speed, and effectively customize for their shoppers

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Revedia Forecasts Success for The Weather Channel Television Network

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SymphonyAI Summit acknowledged as an Honorable Mention in the 2022 Gartner® Magic Quadrant™ for IT Service Management Tools report by Gartner.

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Carrefour France Optimizes Supply Chain with SymphonyAI Retail CPG

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Navis Sets Sail with SummitAI

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Driving Revenue Insights for STX Films

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Conoco Phillips Ferndale condition monitoring success

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Ovation TV Modernizes Financial Workflows with Revedia

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