The Women Illuminating the Path to AI Success

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Join Forrester analyst Brandon Purcell and women tech leaders as they share proven strategies for building organization-wide AI capabilities. This discussion offers practical insights for accelerating AI adoption while ensuring responsible implementation. Key learnings include: Building trust and drive AI literacy across teams through collaborative learning networks​ Bridging technical-business gaps with structured knowledge sharing and […]

PNC Financial Services

How PNC Financial Services Enables Data Science and Machine Learning Capabilities using Anaconda PNC, a banking and financial services corporation operating in 19 states. Data Manager Ann Manchella and Data Scientist Jim Ogle regaled the AnacondaCON crowd with the story of how they went about building a data science “competency center” to enable data science and machine […]

2025 AI Predictions: Uncover the Future of AI with Industry Experts

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What’s Next in AI? Register to access our exclusive on-demand webinar, 2025 AI Predictions Webinar, where top experts from Anaconda and the industry come together to explore the trends, innovations, and opportunities shaping the future of AI. Our panel will cover the latest insights on AI agents, infrastructure, ethical challenges, and strategies to leverage AI […]

8 Best Machine Learning Software To Use in 2025

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Machine learning (ML) is no longer just a concept for forward-looking tech teams—it’s quickly becoming a cornerstone of innovation for businesses across industries. Yet, for many teams, knowing where to begin with ML software can feel overwhelming. The good news? Open-source tools offer an accessible starting point, empowering users to build models, analyze data, and unlock […]

Top Agentic AI Tools and Frameworks for 2025

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The AI landscape is rapidly evolving, with agentic AI tools leading the charge in creating autonomous systems that can reason, plan, and execute complex tasks with minimal human oversight. Unlike traditional AI that focuses solely on content generation, agentic AI enables software to make decisions, interact with multiple systems, and streamline workflows through intelligent automation. […]

Guide to Open-Source Tools & Libraries for Data Science and Machine Learning

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The world of open-source tools and libraries is vast and difficult to navigate. With hundreds of thousands of packages available for unique purposes, how do you know where to look for what you need? Our guide to open-source tools will help any newcomer get started, and if you’re a veteran data scientist, you may discover […]

The Complete Data Science Platform Buyer’s Guide

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The data science and machine learning platform space is dynamic and crowded. In addition to understanding what the market has to offer, shopping for a platform means assessing the needs of your data science, IT, and leadership teams. There’s a lot to contemplate before choosing the right platform to accelerate your machine learning life cycle. […]

Why You Need Machine Learning

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Here’s Why You Need a Machine Learning Platform to Stay on Top The predicted economic impact of AI is huge. It’s also a game-changer that can reshape the competitive landscape in every major industry. McKinsey predicts deep learning will generate up to $5.8 trillion in annual economic value. But, for your business to realize any […]

How do I become a data scientist? 

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According to LinkedIn, there has been a 37% annual growth in hiring for data scientist jobs between 2015-2019. The profession has topped their Emerging Jobs list for three years running, and the platform sees this level of rapid growth in data science roles across all industries. Businesses and organizations of all kinds now understand the […]

Getting Started with Deep Learning in the Enterprise

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Deep learning (DL) is a form of artificial intelligence that utilizes neural networks and outperforms traditional machine learning in compute-intensive tasks such as image recognition and natural language processing. Until quite recently, only behemoths like Amazon or Google could afford to implement deep learning at scale. Today, most any company with a data scientist can […]