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The White Collar Revolution

Tom Tunguz

Code completion, generation, refactoring, security analysis Education & Librarians 2.37 Automated book closing & reconciliation ; document ingestion Life, Physical, & Social Science Occupations 1.22 AI radiology, drug discovery, research analysis Finance 1.13 Powerpoint creation, data analysis Lawyers 0.8

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Best Data Analysis Software

Neil Patel

Everyone has questions when it comes to choosing data analysis software. Why are there so many data analytics tools? You have to arrange your data, explain it, present it properly, and then derive a conclusion from it. Luckily, data analysis software can seriously simplify data analysis—provided you choose the right one.

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Using Generative AI to Drive Corporate Impact

TechEmpower SaaS

TechEmpower has been instrumental in developing chatbots like these, utilizing generative AI to sift through internal documents and user manuals, enabling them to provide precise answers to customer service questions. AI-powered tools can handle routine inquiries and draft standard documents, freeing up legal staff for complex tasks.

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The Spicy Future for Data

Tom Tunguz

If you’ve never seen a data app, that’s the question you should be asking yourself. Data apps are living documents that weave narratives around data and charts to explain, persuade, or empower. This workflow is why data apps are the future. What’s the price of spice ? Imagine your future self.

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Transform the way you share your work: Tricks from Hollywood’s publicity playbook

Intercom, Inc.

Document this step with in-depth notes, seeking feedback from contributors. Link all relevant documents and resources to provide a holistic overview of the topic. it might be a written document, presentation, data analysis, design, video, etc.). Screenplay: The story you will tell.

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Top 10 Trends for Data in 2024

Tom Tunguz

First, they have driven an increased demand for data and are causing a complete architecture inside companies. Second, they change the way that we manipulate data. Analysts will use automated data analysis, and it will be an expected tool in every product : notebooks, BI, databases, etc.

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Great R packages for data import, wrangling, and visualization

IT World

My favorite R packages for data visualization and munging. -. data wrangling, data analysis. The essential data-munging R package when working with data frames. Especially useful for operating on data by categories. data wrangling. Super time saver for messy data. data analysis.

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