IBM Journey to AI blog

AUGUST 17, 2023

This year, innovation at the US Open was facilitated and accelerated by watsonx , IBM’s new AI and data platform for the enterprise.

DevOps 164

DevOps Natural Language Processing Large Language Models Automation 164

Flipboard

NOVEMBER 24, 2023

With that, the need for data scientists and machine learning (ML) engineers has grown significantly. These skilled professionals are tasked with building and deploying models that improve the quality and efficiency of BMW’s business processes and enable informed leadership decisions.

ML 153

ML DevOps Data Scientist ML Engineer 153

AWS Machine Learning Blog

FEBRUARY 21, 2025

Thats why we use advanced technology and data analytics to streamline every step of the homeownership experience, from application to closing. This created a challenge for data scientists to become productive. Rockets legacy data science architecture is shown in the following diagram.

Data Science 67

Data Science Data Scientist Data Ingestion DevOps 67

AWS Machine Learning Blog

MARCH 5, 2025

To ensure the highest quality measurement of your question answering application against ground truth, the evaluation metrics implementation must inform ground truth curation. By following these guidelines, data teams can implement high fidelity ground truth generation for question-answering use case evaluation with FMEval.

Generative AI 75

Generative AI LLM AI AI 75

AWS Machine Learning Blog

OCTOBER 3, 2024

This approach led to data scientists spending more than 50% of their time on operational tasks, leaving little room for innovation, and posed challenges in monitoring model performance in production. The customer contacts Aviva, providing information about the incident and details about the damage.

DevOps 83

DevOps Data Science Data Scientist ML 83

Marktechpost

JULY 17, 2023

It relates to employing algorithms to find and examine data patterns to forecast future events. Through practice, machines pick up information or skills (or data). Deep learning is a branch of machine learning frequently used with text, audio, visual, or photographic data. Built to use predictive models.

Machine Learning 98

Machine Learning Data Mining Data Scientist Data Science 98

Pickl AI

JUNE 29, 2023

Furthermore, The platform’s versatility extends beyond data analysis. 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.

Big Data 52

Big Data DevOps Data Analysis Machine Learning 52