Report: 84% of marketing leaders use predictive analytics, but struggle with data-driven decisions
Pecan AI’s report on predictive analytics helps marketing teams tackling challenges with AI, wherever they are on the adoption curve.Read More
UserTesting bolstering ML-driven UX testing with $1.3B acquisition by Sunstone, Thoma Bravo
UserTesting is being acquired for $1.3B by Thoma Bravo and Sunstone Partners to create larger capabilities for ML-powered UX testing.Read More
Artificial intelligence (AI) platform aims to give lenders improved efficiency, expanded financial product offerings
Lama AI says fintech partners can avoid building their own lending infrastructure, models and secure credit facilities while enjoying increased approval rates.Read More
Consumers are demanding more control in their spending experiences
While digital wallets eliminate friction, there’s a cost: confusion and a lack of confidence that we really know where our money is going.Read More
25 Great Deals From Best Buy’s Early Black Friday Sale (2022): TVs, Phones, Laptops
Get cameras, headphones, and powerful laptops before Halloween even arrives.
The 2023 AI/ML Residency Program Application is now Open
Natural Language Assessment: A New Framework to Promote Education
Posted by Kedem Snir, Software Engineer, and Gal Elidan, Senior Staff Research Scientist, Google Research Whether it’s a professional honing their skills or a child learning to read, coaches and educators play a key role in assessing the learner’s answer to a question in a given context and guiding them towards a goal. These interactions …
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Amazon SageMaker Automatic Model Tuning now supports grid search
Today Amazon SageMaker announced the support of Grid search for automatic model tuning, providing users with an additional strategy to find the best hyperparameter configuration for your model. Amazon SageMaker automatic model tuning finds the best version of a model by running many training jobs on your dataset using a range of hyperparameters that you …
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Introducing the Amazon SageMaker Serverless Inference Benchmarking Toolkit
Amazon SageMaker Serverless Inference is a purpose-built inference option that makes it easy for you to deploy and scale machine learning (ML) models. It provides a pay-per-use model, which is ideal for services where endpoint invocations are infrequent and unpredictable. Unlike a real-time hosting endpoint, which is backed by a long-running instance, compute resources for …
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Deploy a machine learning inference data capture solution on AWS Lambda
Monitoring machine learning (ML) predictions can help improve the quality of deployed models. Capturing the data from inferences made in production can enable you to monitor your deployed models and detect deviations in model quality. Early and proactive detection of these deviations enables you to take corrective actions, such as retraining models, auditing upstream systems, …
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