Modern machine learning (ML) workloads, such as deep learning and large-scale model training, are compute-intensive and require distributed execution. Ray was created in the UC Berkeley RISELab to make it easy for every engineer to scale their applications and ML workloads, without requiring any distributed systems expertise, making distributed programming easy.
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SlashNext
According to Verizon’s 2018 Data Breach Investigations Report, phishing attacks are at the start of over 90% of data breaches and financial losses. Today's phishing attacks employ short-lived sites, most lasting just 4-8 hours. And attack vectors are expanding beyond email to social media, IM, ads, pop-ups, rogue browser extensions, and more. New attack methods exploit the human attack surface within targeted organizations and evade existing security defenses by design.
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clearslide
Join Chris Badger of ClearSlide as he leverages the latest research to frame the discussion around the next wave of sales process transformation — sales engagement insights, content recommendations, and AI.
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Databricks
From genomics to electronic health records, massive datasets are enabling data-driven insights and ushering in a new era of precision medicine. Yet, healthcare organizations looking to unleash the power of big data and AI face many challenges, including how to: Securely manage and merge rapidly growing sets of siloed healthcare data.
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