Remove Data Processing Remove Experimentation Remove Interactive Remove Metrics
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DataRobot Notebooks: Enhanced Code-First Experience for Rapid AI Experimentation

DataRobot Blog

Data science teams of all sizes need a productive, collaborative method for rapid AI experimentation. DataRobot Notebooks is a fully hosted and managed notebooks platform with auto-scaling compute capabilities so you can focus more on the data science and less on low-level infrastructure management. A host of open-source libraries.

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Apply Modern CRM Dashboards & Reports Into Your Business – Examples & Templates

datapine

A CRM dashboard is a centralized hub of information that presents customer relationship management data in a way that is dynamic, interactive, and offers access to a wealth of insights that can improve your consumer-facing strategies and communications. Try our professional dashboard software for 14 days, completely free! Sales Activity.

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Domino Paves the Way for the Future of Enterprise Data Science with Latest Release

Domino Data Lab

The Workspace user experience has been redesigned to make data scientists much more productive when doing interactive exploratory analysis. Today, many of the Fortune 100 companies that we’re proud to call customers use the model hosting function inside Domino to support their diverse business and operational requirements.

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Introducing the vector engine for Amazon OpenSearch Serverless, now in preview

AWS Big Data

Using augmented ML search and generative AI with vector embeddings Organizations across all verticals are rapidly adopting generative AI for its ability to handle vast datasets, generate automated content, and provide interactive, human-like responses. You can choose to host your collection on a public endpoint or within a VPC.

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Improving Multi-tenancy with Virtual Private Clusters

Cloudera

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. When a mix of batch, interactive, and data serving workloads are added to the mix, the problem becomes nearly intractable. Noisy Neighbors in Large, Multi-Tenant Clusters.

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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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Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

At CMU I joined a panel hosted by Zachary Lipton where someone in the audience asked a question about machine learning model interpretation. If your “performance” metrics are focused on predictive power, then you’ll probably end up with more complex models, and consequently less interpretable ones. Let’s look through some antidotes.