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Networking in data science: 7 Reasons why collaboration is key to success

Data Science Dojo

These communities exist for different purposes including learning and knowledge sharing, expert networks and advisory groups, membership communities, hyper-local events, and more. Hence, the creation of communities in data science is essential where there can be a free flow of knowledge, ideas, and information sharing.

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Networking in data science: 7 Reasons why collaboration is key to success

Data Science Dojo

These communities exist for different purposes including learning and knowledge sharing, expert networks and advisory groups, membership communities, hyper-local events, and more. Hence, the creation of communities in data science is essential where there can be a free flow of knowledge, ideas, and information sharing.

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Publisher editorial teams experiment with ChatGPT, but few use AI tech in their work

Flipboard

A few publishers made headlines recently over their adoption of ChatGPT — the artificial intelligence chatbot system launched by OpenAI last November — or similar AI technology to produce content for their websites, including BuzzFeed, CNET and Sports Illustrated. The AP has been using AI technology to report on companies’ earnings for years.

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How To Use AI To Improve the Literature Review Process

Towards AI

If AI will take my job, it might as well start with literature reviews The current problem in scientific research We live in an era dominated by technology and AI, yet our access to scientific literature remains substantially unchanged in the last 50 years. If reviews are not available: Check for recent articles on the topic.

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People Management in AI: Top 5 Strategies for Success

Data Science Dojo

As technology continues to advance at an unprecedented rate, AI is rapidly transforming the way we live and work. However, as the use of AI becomes more widespread, it’s important to consider the ethical implications of this technology. This can lead to more innovative solutions and better outcomes for your projects.

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Hybrid Vs. Multi-Cloud: 5 Key Comparisons in Kafka Architectures

Smart Data Collective

Cloud technology is becoming more important to modern businesses than ever. A multi-cloud infrastructure means when you acquire the technology from different vendors, and these can either be private or public. A three-step ETL framework job should do the trick. Step 3: Create an ETL job and save that data to a data lake.

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Women 40+ in IT Initiative by WiBD Russia Chapter

Women in Big Data

Our primary focus is to offer support to women in the technology field who are navigating the challenges of ageism after reaching the age of 40. So far, we’ve successfully conducted eight informative webinars where experienced speakers shared valuable insights, job-hunting tips, and more. Discover more below.