A rather tongue-in-cheek protest took place at the Pittsburgh G20 People’s March by the Carnegie Mellon University (CMU) machine learning department. To see more posters, take a peek HERE. For even more whimsey, check out a couple of hilarious faux research papers: Data Mining Disasters and MapReuse and MayRecycle. Whoever said data scientists had no sense of humor?
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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How can finance teams lighten the workload and take their rightful place advising on business strategies and best practices? Automation can help. Software robots are ideally suited for transaction processing, accounting operations, and compliance work. It’s time for finance teams to do more of what they were meant to do: help the entire business be better. In this eBook from UiPath we’ll take a quick look at how automation can make that happen.
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