Understanding why ethical AI and explainable AI are foundational elements to generative AI is critical to moving forward.
Organizations must understand what machine learning, including deep learning, is and what it isn’t to gain the most value from their ML business applications.
AI accuracy depends on the quality of the data it is fed. Toni Witt explores ways that datasets can be cleaned, or even generated, to make AI better.
Kieron Allen hosts Acceleration Economy analysts Ronak Mathur and Toni Witt, who explain the criteria used to select the companies on the AI/Hyperautomation Top 10 shortlist.
The Top 10 providers model – a Cloud Wars staple – now includes the top four tech pillars: cloud, cybersecurity, AI/hyperautomation, and data.
In this Enterprise AI Minute, Aaron covers the new H2O.ai solution that’s unlocking new potential through enabling AI accessibility and democratization.
Understanding AI in any practical sense is still hard for many to grasp. However, H2O.ai seeks to change that with its “Explainable AI” approach. Will this translate into long-term consumer impacts?