Pickl AI

JUNE 29, 2023

It initiates the collection, indexing, and analysis of machine-generated data in real-time. It helps harness the power of big data and turn it into actionable intelligence. Moreover, it allows users to ingest data from different sources. Additionally, Splunk can process and index massive volumes of data.

Big Data 52

Big Data DevOps Data Analysis Machine Learning 52

Flipboard

NOVEMBER 24, 2023

Moreover, the JuMa infrastructure, which is based on AWS serverless and managed services, helps reduce operational overhead for DevOps teams and allows them to focus on enabling use cases and accelerating AI innovation at BMW Group. More importantly, the use of these platforms was misaligned with BMW Group’s IT cloud-first strategy.

ML 95

ML DevOps Data Scientist ML Engineer 95

AWS Machine Learning Blog

OCTOBER 20, 2023

The architecture maps the different capabilities of the ML platform to AWS accounts. The functional architecture with different capabilities is implemented using a number of AWS services, including AWS Organizations , SageMaker, AWS DevOps services, and a data lake.

ML 101

ML Data Scientist ML Engineer Data Science 101

ODSC - Open Data Science

JULY 19, 2023

Data Estate: This element represents the organizational data estate, potential data sources, and targets for a data science project. Data Engineers would be the primary owners of this element of the MLOps v2 lifecycle. The Azure data platforms in this diagram are neither exhaustive nor prescriptive.

Machine Learning 52

Machine Learning Data Drift Data Science ML Engineer 52

Marktechpost

JULY 17, 2023

IBM merged the critical capabilities of the vendor into its more contemporary Watson Studio running on the IBM Cloud Pak for Data platform as it continues to innovate. The platform makes collaborative data science better for corporate users and simplifies predictive analytics for professional data scientists.

Machine Learning 87

Machine Learning Data Mining Data Scientist Artificial Intelligence 87