Remove topics data-integration
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The 6 best ChatGPT plugins for data science 

Data Science Dojo

ChatGPT plugins can be used to extend the capabilities of ChatGPT in a variety of ways, such as: Accessing and processing external data Performing complex computations Using third-party services In this article, we’ll dive into the top 6 ChatGPT plugins tailored for data science.

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Top 9 AI conferences and events in USA – 2023

Data Science Dojo

Learning from real-world applications : Who doesn’t want to revolutionize their manufacturing process by integrating AI, a strategy learned from a case study at an AI conference. Generative AI and Data Storytelling (Virtual event | 27th September – 2023) A virtual event on generative AI and data storytelling.

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Real-Time Sentiment Analysis with Kafka and PySpark

Towards AI

Diagram by author As technology continues to advance, the generation of data increases exponentially. In this dynamically changing landscape, businesses must pivot towards data-driven models to maintain a competitive edge. Real-time data streaming pipelines play a crutial role in achieving this objective.

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Meet the winners of the Pale Blue Dot challenge

DrivenData Labs

NASA's commitment to open data sharing empowers global efforts to tackle urgent issues, such as the Sustainable Development Goals. Dr. Steve Crawford, Senior Program Executive for Scientific Data and Computing at NASA Background ¶ Our world is facing many urgent challenges, such as climate change, water insecurity, and food insecurity.

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Lunchbreak AI elevates your academic writing

Dataconomy

Students can enter the topic, essay type, and length, and the tool will craft a comprehensive, well-structured essay. Plagiarism-free, research-backed content : One of the standout features of Lunchbreak AI is its commitment to academic integrity. This step ensures a seamless integration of your work and preferences on the platform.

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Trustworthy AI, Powered by Trusted Data

Precisely

Key takeaways: The success of your AI initiatives hinges on the integrity of your data. Ensure your data is accurate, consistent, and contextualized to enable trustworthy AI systems that avoid biases, improve accuracy and reliability, and boost contextual relevance and nuance. Why Does Data Integrity Matter for AI Success?

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Amazon Q: Create AI chatbots for work

Dataconomy

Amazon Q also makes it easier for employees to get answers to questions across business data, such as company policies, product information, business results, code base, employees, and many other topics by connecting to enterprise data repositories to summarize the data logically, analyze trends, and engage in dialog about the data.”

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