Remove Data Processing Remove Experimentation Remove Machine Learning Remove Metrics
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What you need to know about product management for AI

O'Reilly on Data

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.

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Bringing More AI to Snowflake, the Data Cloud

DataRobot Blog

Integrating different systems, data sources, and technologies within an ecosystem can be difficult and time-consuming, leading to inefficiencies, data silos, broken machine learning models, and locked ROI. We recently announced DataRobot’s new Hosted Notebooks capability. Learn more about DataRobot hosted notebooks.

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Try semantic search with the Amazon OpenSearch Service vector engine

AWS Big Data

For the demo, we’re using the Amazon Titan foundation model hosted on Amazon Bedrock for embeddings, with no fine tuning. It similarly codes the query as a vector and then uses a distance metric to find nearby vectors in the multi-dimensional space. With OpenSearch’s Search Comparison Tool , you can compare the different approaches.

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Customer Experience and Emerging Technologies: My CXChat Summary on Artificial Intelligence, Machine Learning and the Customer

Business Over Broadway

I was invited as a guest in a weekly tweet chat that is hosted by Annette Franz and Sue Duris. According to Gartner, companies need to adopt these practices: build culture of collaboration and experimentation; start with a 3-way partnership among executives leading digital initiative, line of business and IT.

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Teaching AI to Smell by Using DataRobot

DataRobot

Traditionally, experimentation and observation was the only way to understand the physical-chemical properties of the molecule. To foster innovation in this area, AICrowd hosted a competition to predict the olfactory properties of a molecule. DataRobot also provides per-label metrics so that metrics per class can be compared.

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Amazon OpenSearch Service search enhancements: 2023 roundup

AWS Big Data

2023 was a year of rapid innovation within the artificial intelligence (AI) and machine learning (ML) space, and search has been a significant beneficiary of that progress. It similarly codes the query as a vector and then uses a distance metric to find nearby vectors in the multi-dimensional space to find matches.

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DataRobot Notebooks: Enhanced Code-First Experience for Rapid AI Experimentation

DataRobot Blog

Most, if not all, machine learning (ML) models in production today were born in notebooks before they were put into production. Data science teams of all sizes need a productive, collaborative method for rapid AI experimentation. A host of open-source libraries. Auto-scale compute. Did you notice?