On Demand
May 6, 2021
Webinar: UX Design Mobile First: A Case Study
A real-life case study of building a mobile-first UX design strategy for an MVP.
View the recordingWebinar: UX Design Mobile First: A Case Study
A real-life case study of building a mobile-first UX design strategy for an MVP.
View the recordingTechnology Roadmaps Accelerated with Remote Teams
Remote teams can be as effective, if not more, than in-office co-located teams.
View the recordingLow-Code No-Code Platforms – InsurTech’s Silver Bullet
An effective solution for insurance companies to keep up with digital tech.
Listen to the podcastAchieve real benefits of AI and machine learning algorithms, computer vision, and natural language processing by streamlining disparate data sources. Build production-ready machine learning models with feedback loops to fine-tune and monitor models in production.
Answer pressing business questions with innovative and descriptive insights
Develop, deploy and productionize end-to-end machine learning solutions using proven technologies
Build human-friendly chatbots and interactive dialog systems using abundantly available text content
Build better ML models using images for text and feature extraction
Build ML models on sparsely labeled datasets using transfer learning on generic models built with abundantly available non-labeled generic data sets
Productionize your machine learning workflows with automation to version data, code and models and reduce friction between data science and operations teams
Quickly identify low-hanging fruits and deliver successful implementations to build confidence and promote AI usage in the organization. Our team works with data scientists and helps them prototype various model building approaches and give feedback on in-house models.
Consolidate data from various data lakes for a single source of truth to build data marts. Use these data marts for analytics and build predictable and reproducible machine learning workflows.
Synerzip teams augment our customers’ data engineering teams to productionize their models with specialized knowledge in handling large data volumes and deploying ML models in a scalable manner.
Additionally, Our ML Ops service helps you model performance in production and automate new models’ deployment as they become available.
Various tools and platforms that we have real-world experience and expertise with.