I recently caught up with Adam Compain, CEO of ClearMetal, to discuss how AI already is being used in the logistics industry to decipher the global supply chain’s many big data complexities.
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Industry Perspectives
Why Technology Should Take a Backseat for Data Projects to Succeed
In this special guest feature, Andrew Stevenson, CTO and Co-founder at Lenses.io, believes that without tooling, governance and visibility around open source technologies, applying them successfully at an enterprise level is very hard. Organizations need to be able to access the latest platforms, tools and training, so that they don’t have to re-create technology that already has been commoditized. In a data driven world we can take this a step further and enable companies to focus on data to provide secure, governed access, visibility with the auditing and compliance modern platforms need.
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Machine learning for all: the democratizing of a technology
In this short eBook, you’ll discover automated machine learning using H2O.ai. H2O.ai has dedicated itself to democratizing all aspects of AI, including machine
learning. H2O Driverless AI is a machine learning solution that automates AI for nontechnical
users. So-called “AutoML” solutions like H2O Driverless AI are rising in popularity for enterprises across a wide range of industries. With it, users can build robust, fast, and accurate machine learning solutions. It also includes visualization and interpretability features that explain the data modeling results in plain English, fostering further adoption and trust in AI.
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