Top 11 NLP Libraries in Python
Natural language processing (NLP)—the field of computer science focused on enabling machines to understand and work with human language—underpins much of the generative AI ecosystem, from large language models to translation assistants to customer service chatbots. It’s the fastest-growing and most widely used data science and machine learning application, according to Databricks’ State of AI […]
Why 95% of AI Pilots Fail—and How to Fix It
Join Anaconda’s CTO Steve Croce The open source AI ecosystem has never been bigger — over 2.5 million models and counting. Yet 95% of AI pilots never make it to production. The reason isn’t a lack of good models. It’s poor infrastructure planning, governance gaps, and avoidable mistakes that derail projects before they ever ship. […]
How to Govern Open Source AI at Scale
Govern open source AI models without slowing innovation Enterprise adoption of open source AI models is growing, with 43% of organizations planning to invest $1 million+ in AI initiatives. Yet 62% face challenges moving models into production due to governance issues like security, compliance, and licensing risks. This showcase explores how to leverage open source […]
Accelerate AI Innovation: Remove the #1 Blocker to GPU Adoption
Stop Fighting CUDA. Start Building AI. Is your team spending days wrestling with GPU setup instead of actually building AI? You’re not alone — and there’s a better way. Join Torsten Volk, Principal Analyst at Omdia, and Alan McCarty, VP of Engineering at Anaconda, for this candid conversation about the #1 hidden obstacle slowing AI […]
Environment Maturity Assessment: Evaluate Your AI and Data Science Infrastructure
Use this assessment to evaluate the maturity of your organization’s environment management practices for AI and data science workflows. Instructions Complete the 8-question assessment below and calculate your total score. You’ll immediately see which maturity level your organization has reached, from Survival Mode to Optimizing. After calculating your score, enter your information to download a […]
In Conversation: AI Essentials for Tech Executives
Overview Most tech leaders understand AI in concept. But how do you translate it into strategic business decisions? Watch the recording to hear from Hamel Husain and Greg Ceccarelli, authors of AI Essentials for Tech Executives, and Jess Haberman, Anaconda’s content strategy director, as they share the frameworks to help you unlock AI’s competitive potential. […]
Leading North American Bank Achieves 20% Efficiency Gains with Anaconda
Year-Over-Year Efficiency Gains 0 % The Challenge Capital markets team spent hours daily on manual Excel workflows, faced $2–3M third-party software costs, and needed scalable, audit-ready compliance automation. The Outcome Built an Excel-Python-Excel automation framework on Anaconda Platform, eliminating manual workflows, avoiding $2–3M in costs, and delivering audit-ready compliance outputs. A Fortune Global 500 financial […]
Zempler Bank Cuts Fraud 90% with Anaconda’s Trusted AI
fraud reduction (by value) 50 % The Challenge Zempler Bank needed to implement advanced machine learning for fraud detection using Python while maintaining strict banking security standards and governance requirements, but lacked proactive vulnerability screening. The Outcome Anaconda Platform provided pre-screened Python packages, vulnerability scanning, and trusted sourcing, enabling secure development and faster production deployment […]
Open Source AI Platforms: What You Need to Know
Nearly 50% of all global venture funding went to artificial intelligence in 2025, up from 34% in 2024. Total sector investment eclipsed $202 billion, a 75% increase over the prior year. That level of sustained capital concentration could define which companies lead the next decade. The business case driving that capital is real. Across time-tested […]
Anaconda and SLB Transform Flow Simulation with Python Automation
≈ 25 Near-complete elimination of support tickets The Challenge Production engineers faced pressure to optimize workflows and reduce manual processes. They spent hours on repetitive data entry, manual model setup, and analysis using external tools. The Outcome SLB developed a Python SDK with Anaconda’s embedded distribution, enabling automated model building, batch simulations, and direct integration […]