Iguazio

JANUARY 16, 2024

Sense is a talent engagement platform that improves recruitment processes with automation, AI and personalization. Since AI is a central pillar of their value offering, Sense has invested heavily in a robust engineering organization, including a large number of data and data science professionals. Enabling quick experimentation.

ML 52

ML ML DataOps Data Scientist 52

Precisely

SEPTEMBER 18, 2023

Author’s note: this article about data observability and its role in building trusted data has been adapted from an article originally published in Enterprise Management 360. Is your data ready to use? That’s what makes this a critical element of a robust data integrity strategy. What is Data Observability?

Data Observability 52

Data Observability Data Quality Data Pipeline DataOps 52

Alation

JANUARY 25, 2022

Data fabric is now on the minds of most data management leaders. In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. The data catalog is a foundational layer of the data fabric.

DataOps 52

DataOps SQL ML ML 52

Alation

APRIL 4, 2023

Now, joint users will get an enhanced view into cloud and data transformations , with valuable context to guide smarter usage. Integrating helpful metadata into user workflows gives all people, from data scientists to analysts , the context they need to use data more effectively.

DataOps 52

DataOps Data Engineering Data Engineer Data Engineering 52

AWS Machine Learning Blog

APRIL 17, 2023

“Instead of focusing on the code, companies should focus on developing systematic engineering practices for improving data in ways that are reliable, efficient, and systematic. For scenarios where you need to add your own custom scripts for data transformations, you can write your transformation logic in Pandas, PySpark, PySpark SQL.

AWS 84

AWS ML ML Python 84

Alation

MAY 31, 2023

The Data Governance & Information Quality Conference (DGIQ) is happening soon — and we’ll be onsite in San Diego from June 5-9. If you’re not familiar with DGIQ, it’s the world’s most comprehensive event dedicated to, you guessed it, data governance and information quality. The best part? His major takeaway?

Data Governance 52

Data Governance DataOps Data Pipeline Business Intelligence 52

AWS Machine Learning Blog

JULY 31, 2023

It also enables you to evaluate the models using advanced metrics as if you were a data scientist. We explain the metrics and show techniques to deal with data to obtain better model performance. You start by training the model using existing data, and then ask the model to predict the outcome on data that it has not already seen.

ML 81

ML ML Data Preparation Machine Learning 81

BAIR

FEBRUARY 17, 2024

Is this paradigm here to stay as models improve? We have seen several distinct reasons: Some tasks are easier to improve via system design. This naturally led to an intense focus on models as the primary ingredient in AI application development, with everyone wondering what capabilities new LLMs will bring. Why is that?

AI 145

AI AI DataOps Data Pipeline 145

Precisely

FEBRUARY 10, 2023

Advanced analytics and AI/ML continue to be hot data trends in 2023. According to a recent IDC study, “executives openly articulate the need for their organizations to be more data-driven, to be ‘data companies,’ and to increase their enterprise intelligence.”

DataOps 52

DataOps Data Observability ML ML 52

BAIR

FEBRUARY 18, 2024

Is this paradigm here to stay as models improve? We have seen several distinct reasons: Some tasks are easier to improve via system design. This naturally led to an intense focus on models as the primary ingredient in AI application development, with everyone wondering what capabilities new LLMs will bring. Why is that?

AI 40

AI AI DataOps Data Pipeline 40