AWS Machine Learning Blog

JUNE 18, 2024

This post presents a solution that uses a generative artificial intelligence (AI) to standardize air quality data from low-cost sensors in Africa, specifically addressing the air quality data integration problem of low-cost sensors.

Generative AI 125

Generative AI Data Ingestion Python LLM 125

Unite.AI

OCTOBER 14, 2024

Can you elaborate on the AI-enabled workflow management features and how they streamline data processes? We’re building a host of AI-enabled workflow management tools that integrate directly into storage solutions to automate tasks and provide valuable real-time insights, enabling fast and informed decision-making across organizations.

ML 195

ML Data Ingestion Data Analysis Machine Learning 195

IBM Journey to AI blog

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 130

Data Quality Metadata ETL Big Data 130

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

Marktechpost

JUNE 5, 2024

You can optimize your costs by using data profiling to find any problems with data quality and content. Fixing poor data quality might otherwise cost a lot of money. The 18 best data profiling tools are listed below. It comes with an Informatica Data Explorer function to meet your data profiling requirements.

Data Quality 115

Data Quality Metadata Data Integration ETL 115

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.

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ETL Data Integration Business Intelligence Automation 52

Pickl AI

OCTOBER 6, 2024

It is a crucial data integration process that involves moving data from multiple sources into a destination system, typically a data warehouse. This process enables organisations to consolidate their data for analysis and reporting, facilitating better decision-making. ETL stands for Extract, Transform, and Load.

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ETL Data Quality Data Integration Big Data 52

AWS Machine Learning Blog

AUGUST 4, 2023

As a result, businesses can accelerate time to market while maintaining data integrity and security, and reduce the operational burden of moving data from one location to another. For example, you can use automated workflows that can adapt in an instant based on new data.

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Data Scientist ETL ML AI 86

The MLOps Blog

MARCH 15, 2023

As the volume of data keeps increasing at an accelerated rate, these data tasks become arduous in no time leading to an extensive need for automation. This is what data processing pipelines do for you. Let’s understand how the other aspects of a data pipeline help the organization achieve its various objectives.

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ETL Categorization Automation Data Integration 59

Unite.AI

JUNE 4, 2024

Lastly, the integration of generative AI is set to revolutionize business operations across various industries. Google Cloud’s AI and machine learning services, including the new generative AI models, empower businesses to harness advanced analytics, automate complex processes, and enhance customer experiences.

Data Ingestion 130

Data Ingestion Data Platform Machine Learning Generative AI 130

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.

Convolutional Neural Networks 83

Convolutional Neural Networks Neural Network Metadata Data Scientist 83

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.

Data Mining 98

Data Mining Machine Learning Data Scientist Artificial Intelligence 98

AWS Machine Learning Blog

DECEMBER 7, 2023

Additionally, for insights on constructing automated workflows and crafting machine learning pipelines, you can explore AWS Step Functions for comprehensive guidance. He worked at Turkcell, mainly focused on time series forecasting, data visualization, and network automation.

Convolutional Neural Networks 126

Convolutional Neural Networks Neural Network Algorithm Machine Learning 126

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 126

Data Ingestion Metadata NLP Data Scientist 126

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

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

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

Pickl AI

JUNE 11, 2024

Let’s explore some key features and capabilities that empower data warehouses to transform raw data into actionable intelligence: Historical Data Integration Imagine having a single, unified platform that consolidates data from all corners of your organization – sales figures, customer interactions, marketing campaigns, and more.

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ETL Data Mining Actionable Intelligence Data Integration 52

Marktechpost

NOVEMBER 1, 2024

From data preparation to model deployment, it provides a comprehensive solution. RapidMiner’s versatility for a wide range of data types includes the ability to analyze text, pictures, and audio. Yellowfin’s analytics platform and first-rate customer service allow users to gain insights quickly and effectively.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence AI Tools Machine Learning 98

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 189

Machine Learning Metadata AI AI 189