IBM Journey to AI blog

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases.

Data Quality 130

Data Quality Metadata ETL Big Data 130

Mlearning.ai

FEBRUARY 16, 2023

Today, companies are facing a continual need to store tremendous volumes of data. The demand for information repositories enabling business intelligence and analytics is growing exponentially, giving birth to cloud solutions. Therefore, quick data ingestion for instant use can be challenging.

Business Intelligence 52

Business Intelligence Data Ingestion Metadata Machine Learning 52

Pickl AI

JUNE 29, 2023

Advantages of Using Splunk Real-time Visibility One of the significant advantages of Splunk is its ability to provide real-time data visibility. Thus, it lets users gain insights from vast data in real time. Additionally, it also supports a host of data formats. Thereby enabling faster decision-making and problem-solving.

Big Data 52

Big Data DevOps Data Analysis Machine Learning 52

ODSC - Open Data Science

SEPTEMBER 29, 2023

In today’s digital world, data is king. Organizations that can capture, store, format, and analyze data and apply the business intelligence gained through that analysis to their products or services can enjoy significant competitive advantages. But, the amount of data companies must manage is growing at a staggering rate.

Big Data 52

Big Data ETL Data Science Data Ingestion 52

AWS Machine Learning Blog

NOVEMBER 15, 2023

PCA provides an entire architecture around ingesting audio files in a fully automated workflow with AWS Step Functions , which is initiated when an audio file is delivered to a configured Amazon Simple Storage Service (Amazon S3) bucket. PCA also offers a web-based user interface that allows customers to browse call transcripts.

Data Ingestion 110

Data Ingestion Metadata NLP Data Scientist 110

The MLOps Blog

MARCH 21, 2023

They work with other users to make sure the data reflects the business problem, the experimentation process is good enough for the business, and the results reflect what would be valuable to the business. What do they want to accomplish?

Machine Learning 69

Machine Learning Data Scientist ML Metadata 69