Towards AI

APRIL 27, 2023

for e.g., if a manufacturing or logistics company is collecting recording data from CCTV across its manufacturing hubs and warehouses, there could be a potentially a good number of use cases ranging from workforce safety, visual inspection automation, etc. 99% of consultants will rather ask you to actually execute these POCs.

Automation 85

Automation Auto-complete Computer Vision ML Engineer 85

AWS Machine Learning Blog

JANUARY 5, 2024

Artificial intelligence (AI) and machine learning (ML) offerings from Amazon Web Services (AWS) , along with integrated monitoring and notification services, help organizations achieve the required level of automation, scalability, and model quality at optimal cost.

Data Science 103

Data Science Data Drift DevOps Auto-complete 103

Flipboard

MARCH 13, 2023

With terabytes of data generated by the product, the security analytics team focuses on building machine learning (ML) solutions to surface critical attacks and spotlight emerging threats from noise. These endpoints are fully managed, load balanced, and auto scaled, and can be deployed across multiple Availability Zones for high availability.

Data Scientist 102

Data Scientist Auto-complete ML Machine Learning 102

Pickl AI

JANUARY 23, 2023

People don’t even need the in-depth knowledge of the various machine learning algorithms as it contains pre-built libraries. Provides modularity as a series of completely configurable, independent modules that can be combined with the fewest restrictions possible. It is very fast and supports GPU.

Machine Learning 52

Machine Learning ML Neural Network Auto-classification 52

The MLOps Blog

JUNE 27, 2023

Learn more The Best Tools, Libraries, Frameworks and Methodologies that ML Teams Actually Use – Things We Learned from 41 ML Startups [ROUNDUP] Key use cases and/or user journeys Identify the main business problems and the data scientist’s needs that you want to solve with ML, and choose a tool that can handle them effectively.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

AWS Machine Learning Blog

NOVEMBER 9, 2023

We build a model to predict the severity (benign or malignant) of a mammographic mass lesion trained with the XGBoost algorithm using the publicly available UCI Mammography Mass dataset and deploy it using the MLOps framework. The full instructions with code are available in the GitHub repository. Choose Create key. Choose Save.

Data Drift 94

Data Drift Auto-complete ML Automation 94

The MLOps Blog

JULY 18, 2023

It’s an automated chief of staff that automates conversational tasks. We are aiming to automate that functionality so that every worker in an organization can have access to that help, just like a CEO or someone else in the company would. We like to call these change point detection algorithms. Sabine: Awesome.

Conversational AI 52

Conversational AI Natural Language Processing AI AI 52