Pickl AI

JUNE 23, 2023

Data Annotation In many AI applications, data annotation is necessary to label or tag the data with relevant information. Data annotation can be done manually or using automated techniques. Training Data Selection A critical aspect of data-centric AI is selecting the right subset of data for training the AI models.

Continuous Learning 52

Continuous Learning Data Quality AI AI 52

Unite.AI

FEBRUARY 21, 2024

Airflow provides the workflow management capabilities that are integral to modern cloud-native data platforms. It automates the execution of jobs, coordinates dependencies between tasks, and gives organizations a central point of control for monitoring and managing workflows.

LLM 147

LLM Data Platform Software Engineer Chatbots 147

IBM Journey to AI blog

OCTOBER 20, 2023

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. Some AI platforms also provide advanced AI capabilities, such as natural language processing (NLP) and speech recognition.

Machine Learning 197

Machine Learning Automation AI AI 197

Marktechpost

JULY 18, 2023

The entire ETL procedure is automated using an ETL tool. ETL solutions employ several data management strategies to automate the extraction, transformation, and loading (ETL) process, reducing errors and speeding up data integration. Informatica created the PowerCenter product as a means of integrating data.

ETL 52

ETL Data Integration Business Intelligence Automation 52

AWS Machine Learning Blog

NOVEMBER 15, 2023

In this post, we demonstrate how data aggregated within the AWS CCI Post Call Analytics solution allowed Principal to gain visibility into their contact center interactions, better understand the customer journey, and improve the overall experience between contact channels while also maintaining data integrity and security.

Data Ingestion 111

Data Ingestion Metadata NLP Data Scientist 111

AWS Machine Learning Blog

MAY 15, 2023

We outline how we built an automated demand forecasting pipeline using Forecast and orchestrated by AWS Step Functions to predict daily demand for SKUs. Forecast automates much of the time-series forecasting process, enabling you to focus on preparing your datasets and interpreting your predictions.

Neural Network 68

Neural Network Convolutional Neural Networks Metadata Data Scientist 68

Marktechpost

JULY 17, 2023

Data gathering, pre-processing, modeling, and deployment are all steps in the iterative process of predictive analytics that results in output. We can automate the procedure to deliver forecasts based on new data continuously fed throughout time. This tool’s user-friendly UI consistently receives acclaim from users.

Machine Learning 87

Machine Learning Data Mining Data Scientist Artificial Intelligence 87

Marktechpost

JULY 17, 2023

Consider retail automation in the shape of an Amazon Go location, where a computer vision system monitors shoppers to ensure no one leaves with any five-finger discounts. To educate self-driving cars on how to avoid killing people, the business concentrates on some of the most challenging use cases for its synthetic data platform.

Machine Learning 52

Machine Learning Data Scientist Computer Vision Deep Learning 52

Artificial Corner

JUNE 6, 2023

Cloud-based data storage solutions, such as Amazon S3 (Simple Storage Service) and Google Cloud Storage, provide highly durable and scalable repositories for storing large volumes of data. These services automate infrastructure management tasks, allowing data engineers and scientists to focus on data processing and analysis.

Data Mining 52

Data Mining Big Data ETL Machine Learning 52

The MLOps Blog

OCTOBER 3, 2023

There was the team that I was on, where we were very intensely focused on making tools and setting up the environment for development and training for data scientists, as well as helping out with the actual productionization work. They started off as doing data integrations, and then became the ML monitoring team.

ML 52

ML Data Scientist Machine Learning Data Science 52

IBM Journey to AI blog

AUGUST 4, 2023

It’s often described as a way to simply increase data access, but the transition is about far more than that. When effectively implemented, a data democracy simplifies the data stack, eliminates data gatekeepers, and makes the company’s comprehensive data platform easily accessible by different teams via a user-friendly dashboard.

Machine Learning 161

Machine Learning AI AI Automation 161