Combines Domain Expertise and Feature Engineering to create a feedback loop that increases accuracy (up to 20%) and reduces error rates (up to 50%).
Designed for Business Leaders.
Language-driven user targeting and content generation.
Integrates with BizML to increase precision and reliability (e.g. eliminate/reduce hallucinations) of interactions.
Massively scalable.
Integrates with BizML, Personalizer, Data Sources and Tools.
Can play a passive role – Responder. Also play an active and collaborative role – Assistant, Copilot, Autonomous Agent.
Accelerate development.
Analyze individual assets for investment performance(return, volatility, risk-adjusted return) and deliver personalized alerts and recommendations.
Analyze portfolio investment performance (return, volatility, risk-adjusted return) and make recommendations on investment strategies, portfolio rebalancing, etc.
Advise users on current tool usage, make prescriptive recommendations (how to use the tool better) and predict outcomes.
Effortlessly optimize with Semantic Brain
Card Onboarding
Card Offers
Digital Activation
Travel
Benefits & Rewards
Cross-sell/Up-sell
Card Controls
This is the most expensive and time-consuming solution. While state-of-the-art models often require $100M+ in investment, smaller models can be developed for much less.
This solution isn’t suitable for data changing over time.
Recommended use:
If you need highly specialized AI for proprietary tasks and can invest in data and compute.
Fine-tuning is the process of retraining a foundation model on new data. This is the second most expensive solution(but cheaper than much cheaper training models from scratch).
This solution isn’t suitable for data changing over time.
Recommended use:
When domain-specific performance is required, but you can leverage pre-trained models as a foundation.
Quickly leverage pre-trained models without modifying them, using strategically crafted inputs to get the desired output.
Recommended use:
Ideal for maximizing pre-trained model output without modification, especially for less complex tasks.
Provide real-time, factually accurate information by combining a pre-trained language model with an external knowledge base.
Recommended use:
Is the go-to for combining real-time or proprietary knowledge with pre-trained models to enhance accuracy and context.
Combine Analytics with Prompt Engineering and RAG to deliver personalization and optimization.
Recommended use:
For tasks requiring personalization or optimization.
BizML combines Domain Expertise with Feature Engineering to deliver increased accuracy(up to 20%) and reduced error rates(up to 50%).
BizML is used to steer LLM(i.e. reasoning handled by BizML instead of LLM).
Proven with 7 customers and over 10 projects
More precise steering
Eliminate/reduce hallucinations
Faster
Cheaper
20 years of experience in Interaction personalization for Finance and Telecom.
Customer owns data and continues to grow domain expertise.
Proven in finance and telecom
20+ years of expertise
Data ownership assured
Continuously evolving domain expertise