AWS Machine Learning Blog We are excited to announce the launch of Amazon DocumentDB (with MongoDB compatibility) integration with Amazon SageMaker Canvas, allowing Amazon DocumentDB customers to build and use generative AI and machine learning (ML) solutions without writing code. Amazon DocumentDB is a fully managed native JSON document database that makes it straightforward and […]Continue reading

15Five Sometimes, even with a comprehensive and well-executed performance management process—and a dedicated manager’s best efforts—some employees will fail to meet expectations. But instead of giving up on an employee whose performance is lacking, consider implementing a performance improvement plan (PIP).  When executed well and with compassion, a PIP can motivate a struggling employee to […]Continue reading

Coronavirus | The Guardian AMA criticises political leaders for ‘painful lack of collaboration’ on vaccines and urges faster rollout of national centre for disease controlGet our morning and afternoon news emails, free app or daily news podcastThe Australian Medical Association has accused some premiers of “actively undermining” public health officials at points during the pandemic […]Continue reading

MIT News – Artificial intelligence The MIT Energy and Climate Hack brought together participants from myriad fields and disciplines to develop rapid, innovative solutions to one of the most complex challenges facing society today: the global energy and climate crisis. Hundreds of students from MIT and colleges across the globe convened on MIT’s campus and virtually […]Continue reading

AWS Machine Learning Blog Amazon SageMaker Studio offers a broad set of fully managed integrated development environments (IDEs) for machine learning (ML) development, including JupyterLab, Code Editor based on Code-OSS (Visual Studio Code Open Source), and RStudio. It provides access to the most comprehensive set of tools for each step of ML development, from preparing […]Continue reading

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