IBM Journey to AI blog

AUGUST 12, 2024

Driven by significant advancements in computing technology, everything from mobile phones to smart appliances to mass transit systems generate and digest data, creating a big data landscape that forward-thinking enterprises can leverage to drive innovation. However, the big data landscape is just that.

Big Data 266

Big Data DevOps Automation Machine Learning 266

Flipboard

NOVEMBER 24, 2023

With that, the need for data scientists and machine learning (ML) engineers has grown significantly. Data scientists and ML engineers require capable tooling and sufficient compute for their work. JuMa is now available to all data scientists, ML engineers, and data analysts at BMW Group.

ML 153

ML DevOps Data Scientist ML Engineer 153

Pickl AI

JANUARY 30, 2023

The role of Python is not just limited to Data Science. It’s a universal programming language that finds application in different technologies like AI, ML, Big Data and others. Data Visualization: Use libraries such as Matplotlib, Seaborn, Plotly, etc., to visualize and understand data and model performance.

Python 97

Python DevOps Machine Learning Data Science 97

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 129

ML Data Scientist ML Engineer Data Science 129

AWS Machine Learning Blog

AUGUST 31, 2023

His core area of focus includes Machine Learning, DevOps, and Containers. Ram Vittal is a Principal ML Solutions Architect at AWS. Ram Vittal is a Principal ML Solutions Architect at AWS. In his spare time, Vishal loves making short films on time travel and alternate universe themes.

ML 120

ML Data Scientist Machine Learning Data Science 120

AWS Machine Learning Blog

FEBRUARY 7, 2025

Usually, there is one lead data scientist for a data science group in a business unit, such as marketing. Data scientists Perform data analysis, model development, model evaluation, and registering the models in a model registry. ML engineers Develop model deployment pipelines and control the model deployment processes.

ML 63

ML Data Scientist ML Engineer Data Science 63

ODSC - Open Data Science

JULY 19, 2023

Machine Learning Operations (MLOps) can significantly accelerate how data scientists and ML engineers meet organizational needs. A well-implemented MLOps process not only expedites the transition from testing to production but also offers ownership, lineage, and historical data about ML artifacts used within the team.

Machine Learning 52

Machine Learning Data Drift Data Science Data Scientist 52