In this video, David McQueeney, VP for Software at IBM Research, talks about how the rise of big data in conjunction with high-performance computing can yield major advances for governments as well as businesses.
Industry Perspectives
How We Use Synthetic Data to Improve Performance and Break Away from Dataset Constraints
In this contributed article, Jan Lunter, CEO & CTO of Innovatrics, highlights how synthetic data is an efficient technology to supplement datasets with types of data that are underrepresented. The advancements made in recent years in generative adversarial networks (GANs) allow us to leverage the benefits of generating synthetic data for a wide range of machine learning (ML) applications.
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10 Must-Have Capabilities of an Enterprise AI Platform
With the ten must-have capabilities of an Enterprise AI platform outlined in this paper from Veritone, organizations can position themselves for rapid adoption of AI and ML at scale without requiring custom “from-scratch” model development, extensive AI expertise, or single-model dependency.
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