Amazon Textract, Azure Form Recognizer, and Google Document AI can parse your unstructured documents and produce structured information for all kinds of digital transformation use cases.
We compared Zoom, Microsoft Teams, Cisco Webex, Google Meet, BlueJeans, and GoToMeeting in real-world tests to see which videoconferencing platforms perform best for business users. Here’s how they stack up.
Dataiku’s end-to-end machine learning platform combines visual tools, notebooks, and code to address the needs of data scientists, data engineers, business analysts, and AI consumers.
Major upgrade to the ever-evolving Oracle Database brings JavaScript support, graph optimizations, in-memory enhancements, and dramatic improvements to JSON operations and in-database machine learning.
Ahana Cloud for Presto turns a data lake on Amazon S3 into what is effectively a data warehouse, without moving any data. SQL queries run quickly even when joining multiple heterogeneous data sources.
Microsoft Azure combines a wide range of cognitive services and a solid platform for machine learning that supports automated ML, no-code/low-code ML, and Python-based notebooks.
DataRobot’s end-to-end AutoML suite not only speeds up the creation of accurate models, but can combine time series, images, geographic information, tabular data, and text in a single model.
Amazon’s quantum computing service is currently good for learning about quantum computing and developing NISQ-regime quantum algorithms, but stay tuned
Container-Optimized OS offers tremendous advantages for container workloads on Google Cloud Platform, but Bottlerocket is a better choice everywhere else
Aimed at integrating models with Java applications, Deeplearning4j offers a stack of components for building JVM-based applications that incorporate AI