In the realm of data science, a significant 50% of professionals now harness AI tools to enhance their research capabilities. This adoption rate underscores the growing reliance on artificial intelligence within the field. Data scientists are increasingly turning to AI to streamline their work, automate complex processes, and uncover insights more efficiently. The integration of AI into research not only boosts productivity but also allows for more sophisticated analysis of large datasets. As the use of AI in data science continues to rise, it is clear that these tools are becoming indispensable for professionals seeking to stay at the forefront of their industry.
Avi Chawla
@_avichawla
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Feb 10 Check this!! Microsoft open-sourced a no-code data analysis tool.It’s called Data Formulator and it provides AI-powered data analysis and an drag-and-drop UI for viz tasks.It also works beyond the initial dataset by creating relevant fields and the corresponding viz.
Cassidy
@Cassidy_AI
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Apr 9 Complex data sets require time and effort to parse through and analyze… but with Cassidy’s data analyst it’s done in minutesWhether it’s creating graphs or pulling statistics, this assistant is a powerful tool that takes in any of your complex data files and returns
Chidanand Tripathi
@thetripathi58
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Feb 16 I just found an excellent AI tool!It offers access to ChatGPT-o1, DeepSeek-R1, Claude, Gemini, Midjourney, Perplexity, Runway, and more—all in one place.Here’s how to use it ↓
Razia Aliani
@RaziaAliani
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Apr 10 Juggling too many AI research tools?Here’s your AI research toolbox – categorised by function & mapped by price so you don’t have to guess anymore!𝐖𝐚𝐧𝐭 𝐡𝐢𝐠𝐡 𝐫𝐞𝐬 𝐢𝐦𝐚𝐠𝐞?
Tell your favorite tool(s) in the comment
(𝘐’𝘭𝘭 𝘴𝘶𝘮𝘮𝘢𝘳𝘪𝘴𝘦 & 𝘴𝘩𝘢𝘳𝘦 𝘵𝘩𝘦
Shruti Codes
@ShrutiTrip86844
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Apr 10 [3] Ajelix – Data Analytics Platform Compliment your data with professional-looking reports with a dash of AI analytics to help you stay on top of competitors—more than 17 AI tools including Excel formula generator and AI Excel tools.
Cadence
@Cadence
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Jan 23 As AI and HPC workloads rise, data center energy use has surged, with hyperscale centers consuming 100 MW—enough for 80,000 homes.Discover how Skycore enhances energy efficiency and sustainability with Cadence EDA and cloud tools.https://ow.ly/GMNR50UIHX2
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