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Data Visualization State of the Industry, 2022

FlowingData

I’d have to look at the actual data, which you can get for this year and previous , but my hunch that the split distribution in salary is between non-tech and tech workers.

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Balancing AI: Do good and avoid harm

IBM Journey to AI blog

According to the WEF, employers estimate that 44% of workers’ skills will be disrupted in the next 5 years. As AI capabilities expand, there are ethical concerns and questions every business leader must consider so their AI use does not come at the expense of workers, partners or customers.

AI 104
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Machine learning on Kubernetes: wisdom learned at Snorkel AI

Snorkel AI

Leveraging Ray allows us to parallelize work at large scale across multiple worker pods in the cluster, and achieve our performance benchmarks while executing multiple jobs at once. This means that the workers processing jobs will periodically store and checkpoint their status (typically after each training epoch).

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Machine learning on Kubernetes: wisdom learned at Snorkel AI

Snorkel AI

Leveraging Ray allows us to parallelize work at large scale across multiple worker pods in the cluster, and achieve our performance benchmarks while executing multiple jobs at once. This means that the workers processing jobs will periodically store and checkpoint their status (typically after each training epoch).

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The Role Data Plays in HR Analytics

Data Science Blog

Important KPIs for this category include time to hire , time to fill, offer acceptance rates and application sources. This can be particularly helpful since getting or missing a promotion can affect workers emotionally. Data-Driven Hiring Refining the recruitment process is a top priority for many HR professionals.

Analytics 147
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Real-Time Sentiment Analysis with Kafka and PySpark

Towards AI

Executor: These worker nodes execute multiple tasks concurrently, storing data in memory or disk as directed by the Spark Driver. This analysis helps us understand the common words linked to various sentiment categories. It also aids in creating SparkSessions, enabling interaction with DataFrames and Datasets.

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Supernormal raises $10M to automatically transcribe and summarize meetings

Flipboard

” To that end, Supernormal’s platform, powered by OpenAI’s GPT-3 model, writes meeting and call notes across templated categories like “presentation,” “customer discovery call” and “interview.” The most comprehensive GPT-3 plan costs around $0.02

AI 168