Data Science vs Data Analytics: What’s the Difference?
Introduction Organizations are constantly looking for ways to leverage their data to save time, reduce costs, and accelerate innovation. However, there are many different approaches to consider for generating valuable insights with data. By understanding which approach better suits specific use cases, you can maximize the impact of future data and AI initiatives. Data science […]
Anaconda vs. Python: What’s the Difference?
Anaconda vs. Python: What’s the Difference? When data science teams start a new project, they need to determine which programming languages or tools would be most suitable. Every technology — including Anaconda and Python — has a different learning curve, core capabilities, potential performance, and other factors to consider. Python is one of the most […]
7 Best MLOps Tools [2025 Buyer’s Guide]
Introduction Organizations that struggle with machine learning workflows, model deployment issues, lack of visibility into model performance, and other challenges are increasingly turning to new machine learning engineering practices. Machine learning operations (MLOps) is an important function that aims to use automation and standardization to get high-quality models into production faster, as well as facilitate reproducibility and […]
Synthetic Data: The New Fuel for AI’s Rapid Evolution
For decades, AI has relied on real-world data as its backbone, fueling everything from predictive text to autonomous vehicles. However, as the scale and complexity of AI systems have exploded, so too have the challenges in acquiring, curating, and safeguarding real-world data. Enter synthetic data—a transformative approach to dataset generation that addresses these challenges and […]
Open-Source AI in the Enterprise: Insights from a Survey of IT Leaders
AI and machine learning have become the engines of enterprise innovation, and open-source tools are the fuel. Whether it’s speeding up development, cutting costs, or unlocking new capabilities, open source is powering a shift in how businesses approach AI. But as these tools become more integral, they present new challenges. Companies must work to keep […]
November’s Numbers: U.S. Political Trends, Visualized
The 2024 U.S. presidential election offers a rich dataset for data scientists to explore. Using the open-source Python libraries Panel, hvPlot, and HoloViews we created visualizations like Sankey diagrams, heatmaps, and box charts to illustrate key political dynamics, including voter turnout, partisan divisions, and swing state competitiveness. Explore the code used to build these visualizations […]
Why Python? 10 Reasons Behind Its Popularity
What Is Python? Python is a high-level, interpreted programming language that has gained widespread recognition for its simplicity and readability. Released by Guido van Rossum in 1991, Python has evolved into a versatile, general-purpose language used in various applications, from web development to artificial intelligence. A Brief History of Python Python began when Guido van […]
Fast, Automatic Containerization of ML and AI Projects with Fast Bakery
Learn how Fast Bakery, a new feature in Outerbounds, helps you containerize ML/AI projects automatically.
Product Update: Anaconda CLI
Today Anaconda announces the transformation of the Anaconda CLI from a monolithic codebase into a plugin architecture. This will allow us to more easily maintain anaconda-client, providing stable community package management on anaconda.org, and allow a path for rapid innovation and access to a number of new and exciting features of our platform. Anaconda-client has […]
New Release: Anaconda Distribution 2024.10
We are excited to announce the 2024.10 release of Anaconda Distribution, Anaconda’s data science distribution installer, which includes: Python – the most widely used programming language for data science and machine learning conda – the open-source, cross-platform package and environment manager Anaconda Navigator – our desktop application, built on conda, that enables you to launch […]