Capitalize on the power of AI/ML to differentiate your products
Overview
AI and ML are driving the next wave of product differentiation. Whether it’s in the form of building a product ground-up or infusing the current product with AI/ML capabilities, every product manager has AI/Ml use cases as part of their product road map. The challenge is to build the right ML models and operationalize them in real-life systems.
GS Lab’s Data Science capabilities help businesses realize the full potential of AI/ML right from knowledge discovery, forecasting, decision making to end-user engagement. We will help you choose the suitable algorithms & realistic models best suited for your problem.
Overview
AI and ML are driving the next wave of product differentiation. Whether it’s in the form of building a product ground-up or infusing the current product with AI/ML capabilities, every product manager has AI/Ml use cases as part of their product road map. The challenge is to build the right ML models and operationalize them in real-life systems.
GS Lab’s Data Science capabilities help businesses realize the full potential of AI/ML right from knowledge discovery, forecasting, decision making to end-user engagement. We will help you choose the suitable algorithms & realistic models best suited for your problem.
Our interdisciplinary mix of computer science experts and data scientists can help design and implement new algorithms in those cases where none of the existing libraries suffice.
We enjoy high success rates when it comes to operationalizing your models, which makes us an ideal technology partner.
Offerings & Solution
Deciphering Data to Deliver Value for Businesses
AL/ML Idea to Implementation
We help you build AL/ML products from simple idea/research papers to fully operational models. Right from Use case identification to platform architecture, model development, model deployment and monitoring.
Al/ML based Product Enhancements
We help you infuse AI/ML capabilities within your product at every AI/ML maturity stage. Right from data pipeline management, feature engineering to roll out of the features in existing products.
Conversational AI
We help apply NLP concepts and build high conversational apps, both Voice and text-based, to help improve your customer experience. In addition, we have built AI chatbots that cater to various verticals and hence solve specific business problems using bots
MLOps
Putting your models in real life systems is not a simple task. Unfortunately, this is where most ML prototypes fail to deliver. Our ML Ops services make sure the ML models are rolled out smoothly in real-life systems and help monitor them over time.
Our Differentiators
Set Apart By Unique Characteristics
Higher Success Rate
With an 85% success rate for Data Science projects, we ensure your investments meet your end goals.
Multidisciplinary teams
We have a cohesive interdisciplinary team experienced with multiple end-to-end Data Science projects
Pragmatic Approach
We help establish feasibility with rudimentary models and then implement a complete Data Science pipeline till model deployment and monitoring
eBook
Inference Bridge – Simplifying MLOps
Our Innovative solution in MLOps helps bridge the gap between data science and the production environment.
Data Science Research Hub
Key Research Projects we have undertaken
Success Stories
Leveraged Technologies For Empowering Industry Verticals
Our Library
Expounding on our expertise
Related Offerings
Explore new possibilites with our suite of services
