Machine Learning Jump Start Services
New to ML? We can help.
Interested in getting started with machine learning and want confidence you won’t spend needless cycles just figuring it all out?
ML Jump Start services is designed to help you gain quick insights and business value from machine learning. Our expert team of data scientists, software engineers, and devops engineers will partner with you to identify, initiate, and deliver a successful machine learning project to production leveraging our powerful platform, Skafos. Let’s ensure your first effort has a lasting impact on your business.
We’ll help your organization learn how to be part of the data-driven transformation without massive shifts in budget or adding entirely new departments of staff. Facebook, Uber, and Netflix all dumped 100s of millions of dollars over many years into pioneering the space of ML/AI – we make sure you don’t have to duplicate that time and cost.
Jump Start Services comes in two flavors, a 1-Day Workshop or a 60-Day Engagement.
Looking to streamline the discovery process of developing your Machine Learning strategic plan? Not sure you know enough to commit to a 60-Day Engagement? Our 1-Day Workshop is a great way to learn about the machine learning life cycle, get hands-on experience deploying a ML model, and evaluate where your organization stands in its effort to adopt AI and the potential impact on your business.
While a 1 Day Workshop can be tailored to your organization’s specific needs, typically they take the following form:
- Presentation: Introduction to Operationalization.
- Hands-on Training and Tutorials: Build and deploy example ML using Skafos.
- Brainstorming and Discovery: How is ML currently used at the organization? What are the goals and pain points? Identify potential test projects.
- Next Steps: Create a plan to accelerate ML operationalization.
By the time the day is over, attendees should have the knowledge needed to assess the value of ML delivery and experiment with the Skafos platform. The brainstorming and discovery sessions focus on:
- Specific predictive models
- Technical considerations
- Business impact and value
You know that you want to use Machine Learning and you want to leverage our team of experts to get a model into production. Our 60-Day Engagement is designed to take your team from idea to product using your production data. Your team will have a working product and develop expertise to expand to further applications.
We’ll help your team tackle machine learning / deep learning deployment and automation, streamlining key steps in the process, including:
- ETL optimization for ML: Data ingestion, Data cleansing, and feature engineering
- Model selection
- Model training
- Model scoring
- Data updates and export
- Deploying models to Production
- Best practices for monitoring model health
- Seamless model updates and scaling
- Integration with business analyst tools
We’ll provide full onboarding to Skafos, Metis Machine’s ML continuous deployment platform to ensure these steps are documented, repeatable, scalable, and optimized. We even cover the infrastructure costs and complexities – regardless of computing intensity.
In the end, we want to accelerate your model development and predictive analytics capabilities. We’ll empower your team members through hands-on assistance, deployments, and discussion. By the time the program is complete, your team should have the knowledge needed to run ML delivery, and experiment with data-driven decision making that impact key business processes.