8th Annual State of Data Science & AI Report

Where Companies Are Moving Ahead and Falling Short in the AI Race Companies pour resources into AI initiatives but face a harsh reality: only 22% have strategic deployment plans. The result? Projects stall, budgets stretch, and promised returns never materialize. This year, we surveyed over 214 engineers and data scientists about what’s working, what’s broken, […]
8th Annual State of Data Science & AI Report

Where Companies Are Moving Ahead and Falling Short in the AI Race Companies pour resources into AI initiatives but face a harsh reality: only 22% have strategic deployment plans. The result? Projects stall, budgets stretch, and promised returns never materialize. This year, we surveyed over 214 engineers and data scientists about what’s working, what’s broken, […]
State of Data Science and AI: How Companies Are Moving Ahead (Or Not) in the AI Race

Fewer than one in four companies—only 22%—consider their AI deployment as strategic. That’s according to the respondents of our State of Data Science and AI survey. An unclear or absent strategy can limit how productive artificial intelligence (AI) initiatives become. However, we’re seeing progress toward those strategic approaches. In particular, there’s a varied mix of […]
Anaconda at PyTorch 2025
Anaconda at PyTorch 2025 Visit Anaconda at Booth #S12 Accelerate your PyTorch workflows with enterprise-grade GPU solutions built for production-scale AI. Contact Us Easy onboarding. Secure open source. Explore new Anaconda Quick Start Environments and the Community Channel. Thousands more open source packages. Use securely distributed, community authored packages alongside Anaconda packages without compatibility issues. […]
Python 3.9 Reaches End-of-Life

As part of the official Python support cycle defined by the Python Software Foundation (PSF), Python 3.9 is reaching its scheduled end-of-life in October 2025. Following this upstream timeline, Anaconda will stop building new packages for Python 3.9 in our main channel of the Anaconda Distribution. Important: All existing Python 3.9 packages will remain available […]
Five Python Data Visualization Examples to Transform Your Enterprise Data

Python has revolutionized data visualization by providing powerful, flexible tools that transform complex data sets into compelling visual narratives. Unlike traditional approaches limited to Excel spreadsheets or proprietary software like Tableau, Python offers unparalleled control over every aspect of data visualization—from basic bar charts and line graphs to sophisticated interactive dashboards and real-time data monitoring […]
Central Bank Cuts Risk Analysis Time by 66%

Open-source tools are transforming AI and machine learning (ML) initiatives across industries. From accelerating innovation to addressing pressing security, compliance and scalability concerns, this report—developed by Anaconda in partnership with ETR—offers actionable insights into how enterprises are navigating the opportunities and challenges of open-source AI.
McGill Researchers Discover $10 Drug Candidate to Replace $10,000 Treatment

Open-source tools are transforming AI and machine learning (ML) initiatives across industries. From accelerating innovation to addressing pressing security, compliance and scalability concerns, this report—developed by Anaconda in partnership with ETR—offers actionable insights into how enterprises are navigating the opportunities and challenges of open-source AI.
Open Source AI: Moving Fast Without Breaking Things

About While enterprise AI offers tremendous potential for organizations, implementation challenges include rapid technological evolution and governance concerns that undermine innovation confidence. Join our panel as they dissect these issues and provide insight and expertise. Key Takeaways: AI governance and security and the need to have trust controls over AI models and procedures Insight into […]
From Quick Start to Production: Building Deployable Environments with Anaconda Navigator

You’ve mastered creating specialized Jupyter environments and using quick start environments for rapid development. Now it’s time to take the next step: building a complete project workflow that goes from initial development with quick start environments to creating production-ready code you can confidently share and deploy. This guide walks through a complete real-world example, showing […]