Promoting data science, picking realistic projects, and people skill development are the top three priorities for chief data scientists right now.
Updates to data pre-processing and loading phases designed to enable better utilization of GPUs, improving AI/ML training efficiency and reducing overall cost.
The history and future of machine learning, the benefits of ModelOps for ML, and how ML can help create more accurate maps.
- By Upside Staff
- July 1, 2021
Unique compliance classifiers and comprehensive reporting assist with compliance framework requirements helping organizations accelerate the audit process.
A pioneer in applying network science to biology discusses how data science, and data management in particular, are starting to generate highly useful life sciences insights.
- By Anthony Finbow
- June 30, 2021
Why emissions need to be curbed today, the scope of drought in the U.S., and other factors affecting and being affected by climate change.
- By Upside Staff
- June 30, 2021
In-memory computing brings computation together with data, leveraging data-aware execution, data locality and making it possible to dramatically improve performance and scalability for streaming analytics and machine learning. John DesJardins, CTO of Hazelcast, explains.
- By James E. Powell
- June 29, 2021
The future of Python, staffing a data science team, and avoiding major data errors.
- By Upside Staff
- June 29, 2021