NishMath - #dataanalysis

Sourcetable has launched its AI-powered spreadsheet, securing $4.3 million in funding. This new platform aims to revolutionize data analysis, allowing users to interact with and analyze data using natural language, eliminating the need for complex formulas. The funding round was led by Bee Partners, with participation from figures such as Hugging Face CTO Julien Chaumond and GitHub co-founder Tom Preston-Werner. The company aims to make data analysis more accessible, and empower more people to become spreadsheet power users.

The "self-driving spreadsheet" can understand data context without the need for users to pre-select ranges, interpreting multiple ranges across different tabs. Users can issue commands via text or voice, creating financial models, generating pivot tables, cleaning data, and creating charts and graphs. Sourcetable CEO Eoin McMillan says that AI is the biggest platform shift since the browser.


References :

• SiliconANGLE: Sourcetable gets $4.3M in funding to help everyone become a spreadsheet power user
• Charlie Fink: Sourcetable Launches AI Spreadsheets With $4.3 Million In New Funding
• www.itpro.com: Sourcetable, a startup behind a ‘self-driving spreadsheet’ tool, wants to replicate the vibe coding trend for data analysts
• Unite.AI: Sourcetable Raises $4.3M to Launch the World’s First Self-Driving Spreadsheet, Powered by AI

Classification:

• HashTags: #AISpreadsheets #DataAnalysis #Sourcetable
• Company: Sourcetable
• Target: Office Workers
• Product: Sourcetable
• Feature: AI Spreadsheets
• Type: AI
• Severity: Informative

The International Conference of Numerical Analysis and Applied Mathematics (ICNAAM) 2025 will feature a symposium on Statistical Modeling and Data Analysis. The event, organized by Luis M. Grilo from the University of Évora and the Research Centre for Mathematics and Applications in Portugal, aims to gather researchers from various fields with expertise in statistical models and data analysis. Academics, professionals, and students interested in these areas are encouraged to submit original, unpublished results for peer review.

Applications with real-world data are particularly welcome, spanning disciplines such as Health Sciences, Natural and Life Sciences, Social and Human Sciences, Economics, Engineering, Education, Sports, and Tourism. The conference aims to foster collaboration and knowledge sharing within the international Numerical and Applied Mathematics community. It is organized with the cooperation of the European Society of Computational Methods in Sciences and Engineering (ESCMCE).


References :

• ICNAAM 2025: Organizers: Luis M. Grilo, University of Évora (UÉ); Research Centre for Mathematics and Applications (CIMA), UÉ; Portugal
• medium.com: Statistics for Data Science — Part 5: Advanced Statistical Concepts

Classification:

• HashTags: #DataAnalysis #STEMeducation #MathModeling
• Target: Applications
• Product: Statistics
• Feature: Analysis
• Type: Research
• Severity: Informative