Subscribe
Copied to clipboard
Share
Share
Copied to clipboard
Embed
Copied to clipboard
Impact AI
Trailer
Bonus
Episode 80
Season 1
Improving Recycling Efficiency with Nikola Sivacki from Greyparrot
One of the most powerful impacts machine learning can make is helping to solve environmental challenges all around the world. Today on Impact AI, I am joined by the founder of Greyparrot, Nikola Sivacki to discuss how his company uses machine learning to improve recycling efficiency. Learn all about Nikola’s background, what Greyparrot does, their services, the importance of their work, the role machine learning plays in it, how they gather and annotate data, the challenges they face, how they develop new models, and so much more. Tune in to hear the newest AI innovations Nikola is most excited about before hearing his goals for Greyparrot in the near future. Lastly, get some valuable advice for running AI-powered startups.
Key Points:
- Welcoming Nikola Sivacki to the show.
- Nikola shares a bit about his background and how it led him to create Greyparrot.
- What Greyparrot does, what services they offer, and why it is so important.
- The role machine learning plays in this technology.
- How they go about gathering data and annotating it for their purposes.
- What they are trying to predict with the data they are gathering.
- Challenges they encounter in training machine learning models and how to overcome them.
- A breakdown of how his team plans and develops a new machine learning model or feature.
- Nikola shares how Greyparrot measures the impact of its technology.
- The two groups of machine learning developments Nikola is most excited about.
- Nikola shares some advice for other leaders of AI-powered startups.
- Where he sees the impact of Greyparrot in three to five years.
Quotes:
“Greyparrot basically monitors the flow of waste materials, recyclable materials in material recovery facilities, and offers compositional analysis of these materials.” — Nikola Sivacki
“It's very helpful, – if thinking of a new product, to start with a data set that is really tailored to answering the main uncertain question that is posed there.” — Nikola Sivacki
“Start thinking about data from the start. I think that it’s very important to understand the data in detail.” — Nikola Sivacki
“Our goal is to improve, of course, recycling rates globally so that we can reduce reliance on virgin materials.” — Nikola Sivacki
Links:
Resources for Computer Vision Teams:
LinkedIn – Connect with Heather.
Computer Vision Insights Newsletter – A biweekly newsletter to help bring the latest machine learning and computer vision research to applications in people and planetary health.
Computer Vision Strategy Session – Not sure how to advance your computer vision project? Get unstuck with a clear set of next steps. Schedule a 1 hour strategy session now to advance your project.
Foundation Model Assessment – Foundation models are popping up everywhere – do you need one for your proprietary image dataset? Get a clear perspective on whether you can benefit from a domain-specific foundation model.