Upside


5 Criteria for Choosing an Integrated DevOps Platform

Here’s what to look for in a cloud-based platform that can help enterprise teams identify the root cause of any performance issue, resolve it swiftly, and ensure a seamless user experience.

Data Digest: AI/ML for Image Recognition, IoT, and Conversation

Using machine learning and AI for real-world applications such as real-time image recognition, leveraging data from the Internet of Things, and responding to customer conversations.

Data Stories: Olympic Medals Through the Years

After the Tokyo Olympics came to a close, data visualization creators had some fun illustrating this year’s results as well as historical winners.

Data Digest: Leading Data Scientists, Understanding ML Engineers, Teaching Data Science

Advice for leading a team of data scientists, the differences between data scientists and ML engineers, and the effect of data science classes on students.

How Organizations Can Stay Protected Online

As high-profile cyberattacks threaten data security, here’s what you need to do to guard against them.

Data Digest: Researchers Using Machine Learning

New machine learning applications in medical treatment development, satellite image analysis, and tracking online extremism.

Data Stories: Tech Investments, AI Tasks, CEO Photos

These data visualizations show which industries big tech companies invest in, what office workers think about AI, and what an AI thinks about corporate headshots.

Six Contexts that Frame Data Protection Policy Governance

Data protection policies are complex and often confusing. Knowing these six contexts that frame data protection can help you clarify your policies.

Data Digest: Data Science Workflow, Model Advice, and Organizational Support

Common mistakes for data science processes, principles for data science models, and what organizations should be doing to support data scientists.