MLOps for Digital Healthcare Organizations and Startups

Written by Harry Salt (Digital Editor)
Human in the Loop Workflow optimization

Welcome to this video about Machine Learning Operations (MLOps) for Digital Healthcare Organizations and Startups! In this video, Dimitry Broshkov, CTO at 2BWell and SmartDC, shares lessons from his extensive background in digital innovation. He explains everything from what MLOps is, to how it can benefit business looking to get their teeth into AI and transform their data pipelines.

See here for a copy of the slides used in his presentation.

About Dimitry

Dmitry Broshkov is a seasoned digital technology professional and software engineer with over 10 years of experience in development, leadership, and research. He has served as a tech lead and CTO on projects founded by Johnson & Johnson, Oxford University, Médecins Sans Frontières (MSF), and many other healthcare and digital innovative startups.

He is the fractional CTO of several innovative digital mental health and healthcare products. Currently, Dmitry is working on a cloud solution product that helps organisations automate their infrastructure, reduce maintenance costs, and streamline cloud services. This includes automating most aspects of cloud infrastructure, such as the lifecycle of ML models for organisations utilising AI capabilities.

Understanding the importance and challenges of digital product infrastructure, Dmitry is developing a solution to help organisations establish highly secure, scalable, and compliant cloud or hybrid cloud infrastructures. This solution will automate most processes related to maintaining scalable cloud infrastructure, reduce operational costs, speed up the deployment process, and automate the machine learning lifecycle. This will enable organisations to reinvest resources for further growth, positively impacting the GDP of the United Kingdom.