Many organizations are discovering that traditional storage methods can be the bottleneck that slows their agility and scalability. This has led to the development of containers, built to permit applications to scale rapidly, be more reliable, and offer better performance than more conventional means or methods. Read the e-book to learn how container-native storage is the key to your organization running more efficiently and cost‐effectively. Learn more.
When you’re creating high-performing machine learning models, you need quality, labeled data...and lots of it. Getting it can be a challenge. A growing number of innovators are outsourcing data labeling operations so their teams can focus on strategy and innovation. Choosing a data labeling partner is an important decision that can affect your model performance and speed to market. But how do you choose the right data labeling vendor? Find all of the answers here.
Discover how 9 industry leading companies are employing data annotation solutions to accelerate their machine learning projects and deliver the true promise of AI.
We surveyed more than 50 Chief Data Officers (CDOs) worldwide to uncover how they overcome their data and organizational challenges. This report explores the data landscape and maps the Data Revolution. Learn more.