What Brought Me to Very and the Future of Data Science
It was soon obvious to me that Very had really nailed the agile IoT development process, in addition to having a strong data science practice. This, combined with my interest in building best practices around machine learning and AI app development, and, of course, the culture fit, made Very a great match for me.
Looking at the data science field today, best practices for app development are just now beginning to be created and adopted, partly because it’s a relatively nascent field. Additionally, getting data scientists, software engineers, designers, business experts, and more to work together as a cohesive team to deliver a high-value solution is a non-trivial task — I know from experience. To actually reap the benefits of an investment in data science, companies need access to experts who can design and scale best practices and processes.
Very is positioned to fill this gap for industrial and enterprise businesses, having spent close to ten years honing their expertise in agile IoT development processes. I’m excited to integrate my own work in creating best practices around machine learning and data science specifically, to ensure that Very continues to adapt and contribute to industry best practices as the field evolves.
As the Data Science Practice Lead, I’ll be leading Very’s data science team in machine learning and AI initiatives on our client projects, which will include problem formulation, scoping, and defining the analytical approach for each project. Working together with clients, we’ll go through a process where we ask:
- What data is available?
- What are the types of statements that we want to be able to make in the application?
- Who are the end-users?
- What are the workflows that we're hoping to enable based on this data?
- What's possible from a predictive modeling or machine learning recommendation perspective?
If this sounds like something you could use on your next project, we’d be excited to work with you. Get in touch today to tell us more about your IoT and machine learning initiatives.