CIO Business Intelligence

APRIL 26, 2022

For personnel, cameras look for personal protective equipment (PPE) use, such as hard hats and safety glasses, and then the system either sends alerts to a manager if PPE is not being worn or keeps track of metrics that a safety officer uses to determine whether training is needed. How can we impact manufacturing revenue? .

Manufacturing 84

Manufacturing Optimization Metrics Deep Learning 84

IBM Big Data Hub

AUGUST 28, 2023

Machine learning algorithms like Naïve Bayes and support vector machines (SVM), and deep learning models like convolutional neural networks (CNN) are frequently used for text classification. A targeted approach will optimize the user experience and enhance an organization’s ROI.

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

CIO Business Intelligence

JANUARY 4, 2023

Though composable infrastructure may remove the restrictions of traditional architectures, there’s debate [3] about whether it can scale and whether the ROI would be reached by increased flexibility and utilization. Yes, specific AI workflows require special hardware configurations. Just starting out with analytics?

Cost-Benefit 57

Cost-Benefit Machine Learning Modeling Uncertainty 57

Domino Data Lab

MARCH 3, 2019

What metrics are used to evaluate success? O’Reilly Media had an earlier survey about deep learning tools which showed the top three frameworks to be TensorFlow (61% of all respondents), Keras (25%), and PyTorch (20%)—and note that Keras in this case is likely used as an abstraction layer atop TensorFlow.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

AWS Big Data

OCTOBER 26, 2023

Read on to understand why price-performance matters and how Amazon Redshift price-performance is a measure of how much it costs to get a particular level of workload performance, namely performance ROI (return on investment). Aamer Shah is a Senior Engineer in the Amazon Redshift Service team.

Data Warehouse 96

Data Warehouse Cost-Benefit Dashboards Optimization 96

Domino Data Lab

JUNE 23, 2019

Companies with successful ML projects are often companies that already have an experimental culture in place as well as analytics that enable them to learn from data. Ensure that product managers work on projects that matter to the business and/or are aligned to strategic company metrics. That’s another pattern.

Management 110

Management Machine Learning Experimentation Metrics 110

Domino Data Lab

MAY 8, 2019

For example, in the case of more recent deep learning work, a complete explanation might be possible: it might also entail an incomprehensible number of parameters. If your “performance” metrics are focused on predictive power, then you’ll probably end up with more complex models, and consequently less interpretable ones.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105