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Scott Clark, CEO, SigOpt, at The AI Conference 2017

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AMPLIFY YOUR MODELING
SigOpt optimizes... ● Machine Learning ● AI / Deep Learning ● Simulations OPTIMIZATION AS A SERVICE
SigOpt optimizes... ● Machine Learning ● AI / Deep Learning ● Simulations Resulting in... ● Better Results ● Faster Development ● Cheaper, Faster Tuning OPTIMIZATION AS A SERVICE
Photo: Joe Ross
TUNABLE PARAMETERS IN DEEP LEARNING
TUNABLE PARAMETERS IN DEEP LEARNING
STANDARD TUNING METHODS Parameter Configuration ? Grid Search Random Search Manual Search - Architecture - Learning Rates - Window sizes - Transformations ML / AI Model Testing Data Cross Validation Training Data
OPTIMIZATION FEEDBACK LOOP Objective Metric Better Results REST API New configurations ML / AI Model Testing Data Cross Validation Training Data
SIMPLIFIED OPTIMIZATION Client Libraries ● Python ● Java ● R ● Matlab ● And more... Framework Integrations ● TensorFlow ● scikit-learn ● xgboost ● Keras ● Neon ● And more... Live Demo
COMPARATIVE PERFORMANCE ● Better Results, Faster and Cheaper Quickly get the most out of your models with our proven, peer-reviewed ensemble of Bayesian and Global Optimization Methods ○ A Stratified Analysis of Bayesian Optimization Methods (ICML 2016) ○ Evaluation System for a Bayesian Optimization Service (ICML 2016) ○ Interactive Preference Learning of Utility Functions for Multi-Objective Optimization (NIPS 2016) ○ And more... ● Fully Featured Tune any model in any pipeline ○ Scales to 100 continuous, integer, and categorical parameters and many thousands of evaluations ○ Parallel tuning support across any number of models ○ Simple integrations with many languages and libraries ○ Powerful dashboards for introspecting your models and optimization ○ Advanced features like multi-objective optimization, failure region support, and more ● Secure Black Box Optimization Your data and models never leave your system
SIGOPT CUSTOMERS SigOpt has successfully engaged with globally recognized leaders in insurance, credit card, algorithmic trading and consumer packaged goods industries. Use cases include: ● Trading Strategies ● Complex Models ● Simulations / Backtests ● Machine Learning and AI Select Customers
Contact us to set up an evaluation today sales@sigopt.com

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Scott Clark, CEO, SigOpt, at The AI Conference 2017

  • 2. SigOpt optimizes... ● Machine Learning ● AI / Deep Learning ● Simulations OPTIMIZATION AS A SERVICE
  • 3. SigOpt optimizes... ● Machine Learning ● AI / Deep Learning ● Simulations Resulting in... ● Better Results ● Faster Development ● Cheaper, Faster Tuning OPTIMIZATION AS A SERVICE
  • 5. TUNABLE PARAMETERS IN DEEP LEARNING
  • 6. TUNABLE PARAMETERS IN DEEP LEARNING
  • 7. STANDARD TUNING METHODS Parameter Configuration ? Grid Search Random Search Manual Search - Architecture - Learning Rates - Window sizes - Transformations ML / AI Model Testing Data Cross Validation Training Data
  • 8. OPTIMIZATION FEEDBACK LOOP Objective Metric Better Results REST API New configurations ML / AI Model Testing Data Cross Validation Training Data
  • 9. SIMPLIFIED OPTIMIZATION Client Libraries ● Python ● Java ● R ● Matlab ● And more... Framework Integrations ● TensorFlow ● scikit-learn ● xgboost ● Keras ● Neon ● And more... Live Demo
  • 10. COMPARATIVE PERFORMANCE ● Better Results, Faster and Cheaper Quickly get the most out of your models with our proven, peer-reviewed ensemble of Bayesian and Global Optimization Methods ○ A Stratified Analysis of Bayesian Optimization Methods (ICML 2016) ○ Evaluation System for a Bayesian Optimization Service (ICML 2016) ○ Interactive Preference Learning of Utility Functions for Multi-Objective Optimization (NIPS 2016) ○ And more... ● Fully Featured Tune any model in any pipeline ○ Scales to 100 continuous, integer, and categorical parameters and many thousands of evaluations ○ Parallel tuning support across any number of models ○ Simple integrations with many languages and libraries ○ Powerful dashboards for introspecting your models and optimization ○ Advanced features like multi-objective optimization, failure region support, and more ● Secure Black Box Optimization Your data and models never leave your system
  • 11. SIGOPT CUSTOMERS SigOpt has successfully engaged with globally recognized leaders in insurance, credit card, algorithmic trading and consumer packaged goods industries. Use cases include: ● Trading Strategies ● Complex Models ● Simulations / Backtests ● Machine Learning and AI Select Customers
  • 12. Contact us to set up an evaluation today sales@sigopt.com