According to a recent survey by NewVantage Partners, only 15% of leading enterprises have deployed AI into widespread production. Why so few? For organizations to overcome the hurdles of deploying and managing AI, they have to overcome several major hurdles around model deployment, management, and monitoring, in addition to bridging the gap between IT and data science teams. These are…

While the world is going through these turbulent times, AI remains a key focus for many organizations that are trying to solve emerging social and economic problems. ODSC has always been an exceptional place to highlight these solutions and share some of the thought leadership around AI and machine learning, which is why we are excited to be a part…

The world is going through extremely turbulent times. With the ongoing disruption of our lives, communities, and businesses from the COVID-19 pandemic, predictions from existing machine learning models trained prior to the pandemic become less reliable. There is plenty of historical data, but historical examples from before the pandemic may not provide the relevant examples needed to train a model…

Deploying models into production remains a critical challenge for organizations adopting AI. For many custom-built models, deployment requires extensive data science knowledge and coding expertise to promote those models from development to production. With varied languages and frameworks across AI teams and projects, deployment becomes even more challenging and specialized, depleting critical resources from data science and IT teams alike.…

If you’re a regular reader of the DataRobot blog, you likely fall into one of two categories. Perhaps you’re a data scientist who’s looking for ideas about how to get started with advanced time series forecasting, information about our expanded support for deep learning, or maybe just some ideas on how you can automate some of the data science tasks…

At DataRobot, we meticulously test all the models we build on thousands of real-world datasets to ensure they meet our customers high expectations across performance, generalization, and reliability. There’s no denying that tree-based methods — especially boosting models — have dominated our leaderboards when it comes to traditional data types in rows and columns, aka tabular data. This has begun…

Visual AI is New in DataRobot 6.0 In Release 6.0 of DataRobot, we are thrilled to announce a ground-breaking new capability in our Automated Machine Learning product. DataRobot Visual AI gives you the ability to easily incorporate image data into your machine learning models alongside tabular and text-based data types. This enables your organization to get value from computer vision,…

Updated: April 5, 2020 This follow up study was conducted 2 weeks after the first study (see below) and some key statistics are: 161% increase in cases: 1189 known COVID-19 cases in entire Singapore Higher proportion of cases being hospitalized, despite limiting non-essential gatherings: 74.5% are in hospital, 0.5% (6 patients) have died, and 25% have recovered More local transmissions…

The water quality at an urban-adjacent river like the Anacostia River in Washington D.C., can vary wildly from day to day. Severe rainstorms, sewage overflows, and excessive littering are just some of the factors that can affect its quality and cleanliness. The primary mission of environmental group Anacostia Riverkeeper is to restore and maintain the river and connect it to…