ODSC - Open Data Science

APRIL 28, 2023

Editor’s note: Tendü Yoğurtçu, PhD is a speaker for ODSC East 2023 this May 9th-11th. Be sure to check out her talk, “ Power trusted AI/ML Outcomes with Data Integrity ,” there! As critical data flows across an organization from various business applications, data silos become a big issue.

ML 98

ML ML Data Silos Data Quality 98

phData

NOVEMBER 13, 2023

Join us as we navigate the key takeaways defining the future of data transformation. dbt Mesh Enterprises today face the challenge of managing massive, intricate data projects that can slow down innovation. In mid-2023, many companies were wrangling with more than 5,000 dbt models. Figure 5: dbt Cloud CLI.

Database 52

Database Business Intelligence Business Intelligence Data Silos 52

phData

SEPTEMBER 13, 2023

Some third-party tools like Fivetran provide exceptional data modeling capabilities, which can be extremely helpful down the road. This is the easiest and fastest way to onboard your data into Snowflake. Advantages Salesforce Sync Out offers a range of advantages for data integration. phData can help!

Tableau 52

Tableau Data Pipeline Data Silos Analytics 52

DrivenData Labs

MARCH 30, 2023

Phase 2: Solution Development ¶ Phase 2 of the challenge took place from October 2022 to late January 2023. During the two-and-a-half-week attack period in February 2023, red teams were given full access to blue teams' code in order to evaluate their privacy claims under both white box and black box privacy attacks.

Machine Learning 162

Machine Learning Machine Learning Data Science Algorithm 162

phData

AUGUST 11, 2023

Thus, using data engineering is a must in 2023 for hospitals. When it comes to data engineering, the possibilities of impact for the healthcare sector are endless. Leveraging Advanced Analytics Techniques in Disease Diagnosis Disease diagnosis is changing for the better in 2023.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Heartbeat

DECEMBER 7, 2023

Data should be designed to be easily accessed, discovered, and consumed by other teams or users without requiring significant support or intervention from the team that created it. Data should be created using standardized data models, definitions, and quality requirements. on Twitter: "Data is addictive!

Data Governance 52

Data Governance Deep Learning Deep Learning Artificial Intelligence 52

Mlearning.ai

SEPTEMBER 4, 2023

Moreover, the FTC has clarified that you can’t plead ignorance using someone else’s model, which is especially serious in high-risk domains like healthcare and finance. Do Foundation Model Providers Comply with the EU AI Act?” After all, moving a pretrained model is often easier than transferring large datasets.

AI 52

AI AI Azure Machine Learning 52