The Metonymize platform enables the combination of 'thinner' data with domain knowledge to produce superior explainable AI
Generative modelling approach to AI offers ground-up support for auditability (Anti "black box")
Simulations capture human expertise
Next generation AI compensates for limited data - generalizing insights via Transfer Learning
Solutions: How enterprises use Metonymize
Traditional Machine Learning only works with lots of data. In reality, predictive systems can combine limited data with expert knowledge using advanced AI techniques
NEW PRODUCT DEV.
Transfer insights for better planning
Consumer behavior models for concept testing at scale using simulation. Scale up experimentation while reducing marginal cost to zero.
User-driven insights from limited data
Extend limited datasets using domain knowledge. Analyze hypothetical scenarios and conduct what-if analysis.
VOICE OF CUSTOMER
Consumer experience optimization
Automatically process natural language feedback in real-time. Drive operational response times down to zero to improve customer NPS.
Full-stack architecture, easily integrated through APIs and enterprise standard web/mobile Apps
Support industry standard ETL pipelines and REST API based data input/output
NATURAL LANGUAGE ENGINE
5X better accuracy in language understanding.No “Cold Start” problems given pre-trained language models of semantics from different domains
DOMAIN KNOWLEDGE STACK
Probabilistic programing libraries and tooling make it possible to seamlessly inject expert knowledge
lack of granular data to train machine learning models
Zero data generative models capture expert domain knowledge as a starting point for machine learning
Third Wave AI (3Wai) architecture supports the injection of domain knowledge to tune models with expert context
3Wai algorithms use computational capacity to “trade off” model accuracy and search time with/without more data
THIRD WAVE AI
Scalable cloud-based High-Performance GPU enabled Compute stack for model training and efficiency
Probabilistic Computing stack delivers performance improvements with training time, even with limited data
Cloud-native API support and rapid prototyping allows for iterative design and deploy cycles for speed of integration into existing workflows
Tableau-based application deployment, for scalable, secure enterprise access
Helps marketers experiment by replacing real-world trial and error with simulation.
GAUGE drives the marginal cost of market testing to zero from tens of thousands of dollars
With turn-around times of minutes versus days or weeks
Experimentation on GAUGE is granular, auditable and iterative in real-time
Is an explainable language understanding solution for customer success managers
PING efficiently decodes customer behavior. Delivering insight with human-in-loop iteration
It delivers customizable, actionable data records from unstructured customer data.
Pretrained language models avoid “Cold Start” limits; 5x better accuracy with domain expertise
Turn customer feedback into actionable data for operations
For customer insight managers keen to drive action and NPS, Measurable and actionable bite-sized customer feedback
With API designed for easy consumption in operations workflow
Delivering Scalable realtime VoC access to individual department managers
Law, Domain Advisor
Marie is CEO of NextLaw Labs, Denton’s Venture Arm. In 2017, Dentons was ranked the #1 International Law Firm
Over 20 years of hands-on research and early-stage product development
Co-founder of EY's M&A Strategy practice, and lead Tech Partner
Led the text group on Watson Jeopardy!
Runs the Text Lab at University of North Carolina Charlotte Visiting Professor at Duke University
Two decades of experience, inventing applied machine learning solutions
Over 65 publications
Applied Machine Learning
Senior Software Engineer, with a decade of experience in Cloud infrastructure, Clojure. Former CTO of Lumanu
Founder of AI Labs at both the University of Chicago and Northwestern University. Cofounder of Narrative Science
She also serves on the Board of Directors at Corning Inc., Meritage Homes, and American Eagle. Previously President of P&G’s $20B Global Beauty Sector, and enterprise eCommerce
Jim leads business development in Consumer Products & Retail, with over 30 years of experience in the industry, most of them at Procter & Gamble
Former Chief Technology Officer at The Hershey Company and Chief Information Officer at Chiquita Brands
Backed by leading research and academic institutions, the team has a collective 100+ years of AI experience and over 100 business transformation projects at some of the most respected firms on the planet (including, IBM, P&G, EY, and Mondelez)