Webinar
Think About Your Audience Before Choosing a Webinar Title
Sponsored by devops.com
On Demand
Anytime
What You’ll Learn in This Webinar
In today’s data-driven world, having a robust and comprehensive dataset is critical for the success of machine learning models. But building the perfect dataset is not a simple task. In this webinar, we will explore the best practices for building and labeling datasets, and discuss the key considerations that should be taken into account to ensure that your models perform to their full potential.
Join us and you’ll learn:
- What’s the difference between traditional modeling and data-centric AI, and why is it happening now?
- What’s the worst mistake people can make with their datasets?
- What’s the most powerful way to automatically label huge datasets?
- As a follow-up, can we fine-tune or augment that automatic labeling process with humans in the loop?
- Is it possible to build a massive dataset without web scraping?
- How do we store all that data? Is there any dream system that can do text, video, images, and more all equally well?
Francesco Iorio
CEO - Augmenta
With 20 patents to his credit and numerous scientific publications, Francesco Iorio has a proven track record of innovation in multiple fields, with considerable technical and business impact. Not only is his input valued on a technical level, his contributions to business development activities, client-facing strategic innovation sessions and presentations, academic partnerships and M&A activities help grow companies. Iorio pioneered modern generative design when the director of computational science research at Autodesk Research, exploring state-of-the-art computational science projects. He is now a co-founder and CEO of Augmenta, where he leads artificial intelligence, advanced computational science, and user-centered design experts in transforming the way buildings are designed and built. He was also a solution architect for next-generation computing systems at the IBM High Performance Computing Group in Dublin, Ireland. He holds a MSc in information technology from the University of Liverpool and a PhD in computer science from the University of Toronto.
Misha Sulpovar
VP of AI Product - Cherre
Misha Sulpovar serves as the vice president of AI product at Cherre, a leading data integration and insights platform. In this role, he is responsible for leading Cherre’s AI product strategy, based on urgent market needs and Cherre’s innovation roadmap. Misha builds tools and platforms that allow people to make better decisions and drive better insights, empowering Cherre’s clients to build their own data science teams, which is something he assists with both internally and externally.
Zack Wenthe
CDP Product Evangelist - Treasure Data
Zack Wenthe is the CDP Product Evangelist for Treasure Data. As a marketer and strategist, Zack is passionate about helping marketing teams break down silos, operate more efficiently, and develop a true understanding of their customers.
Lee Baker
General Secretary - AI Infrastructure Alliance
Lee is the general secretary for the AI Infrastructure Alliance. Based out of the UK, he is responsible for crafting and nurturing relationships with companies to build a canonical stack for AI and ML. He has spent the last 8 years helping launch and grow MLOps startups. When not shuttling his 3 children around, he can most often be found cycling, running and swimming around England's South Coast.
