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The Anaconda Blog

Enterprise Data Science
6 Reasons Your Open-Source Data Science Pipeline Needs Attention Now

365体育投注Your enterprise data scientists are almost certainly using Anaconda Distribution alongside 20 million other practitioners worldwide. The Anaconda Distribution is a package and environment manager designed for solo data scientists, and it is the most…

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Enterprise Data Science
8 AI Predictions for 2020: Business Leaders & Researchers Weigh In

The first industrial revolution was powered by coal, the second by oil and gas, and the third by nuclear power. The fourth — AI — is fueled by an abundance of data and breakthroughs in…

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Enterprise Data Science
How Machine Learning Will Generate up to $2 Trillion in Value for the Manufacturing Industry

365体育投注Today manufacturers must create high-quality products as efficiently and consistently as possible to remain competitive. With the increasing price of raw materials, skilled labor shortages, and rising competition, this can be difficult. Fortunately, machine learning…

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Enterprise Data Science
What Can AI Teach Us about Bias and Fairness?

365体育投注By: Peter Wang & Natalie Parra-Novosad As researchers, journalists, and many others have discovered, machine learning algorithms can deliver biased results. One notorious example is ProPublica’s discovery of bias in a software called COMPAS used…

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Enterprise Data Science
Machine Learning in Healthcare: 5 Use Cases that Improve Patient Outcomes

365体育投注Machine learning is accelerating the pace of scientific discovery across fields, and medicine is no exception. From language processing tools that accelerate research to predictive algorithms that alert medical staff of an impending heart attack,…

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Enterprise Data Science
Enterprises Need to Think Differently about Data Science. Here’s How.

Companies that are data science literate make and communicate decisions on the basis of real data models, and not merely instinct or tradition. They welcome new data science technologies as opportunities for potential innovation, rather…

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Enterprise Data Science
4 Machine Learning Use Cases in the Automotive Sector

From parts suppliers to vehicle manufacturers, service providers to rental car companies, the automotive and related mobility industries stand to gain significantly from implementing machine learning at scale. We see the big automakers investing in…

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Enterprise Data Science
Getting Started with Machine Learning in the Enterprise

Machine learning (ML) is a subset of artificial intelligence (AI) in which data scientists use algorithms and statistical  models to predict outcomes and/or perform specific tasks. ML models can automatically “learn from” data sets to…

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Enterprise Data Science
4 Ways Financial Firms Put Machine Learning to Work

Several industry giants in the finance sector are well on their way to implementing machine learning technology that improves operations and guides strategy in multiple departments. So far, machine learning algorithms are being used in…

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Enterprise Data Science
The Human Element in AI

The over 45 speakers at AnacondaCON 2019 delved into how machine learning, artificial intelligence, enterprise, and open source communities are accomplishing great things with data — from optimizing urban farming to identifying the elements in…

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Enterprise Data Science
Deriving Business Value from Data Science Deployments

One of the biggest challenges facing organizations trying to derive value from data science and machine learning is deployment. In this post, we’ll take a look at three common approaches to deploying data science projects,…

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Enterprise Data Science
Bringing Dataframe Acceleration to the GPU with RAPIDS Open-Source Software from NVIDIA

365体育投注Today we are excited to talk about the RAPIDS GPU dataframe release along with our partners in this effort: NVIDIA, BlazingDB, and Quansight. RAPIDS is the culmination of 18 months of open source development to…

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