Precisely

MARCH 7, 2024

Precisely believes that “the whole truth” is essential to data integrity. According to a 2023 study from the LeBow College of Business , data enrichment and location intelligence figured prominently among executives’ top 5 priorities for data integrity. Many people use the term to describe a data quality metric.

Data Quality 52

Data Quality Database Administration Analytics Analytics 52

ODSC - Open Data Science

APRIL 26, 2023

Because of this, they will be required to work closely with business stakeholders, data teams, and even other tech-focused members of an organization to sure that the needs of the organization are met and comply with overall business objectives. ODSC East 2023 this May and ODSC Europe this June have you covered.

Data Analyst 52

Data Analyst Machine Learning Machine Learning Power BI 52

Mlearning.ai

FEBRUARY 16, 2023

Data Security and Governance Maintaining data security is crucial for any company. With traditional data warehouses, organizations may find it challenging to prevent data breaches. Use Multiple Data Models With on-premise data warehouses, storing multiple copies of data can be too expensive.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

phData

JULY 18, 2023

The Ultimate Modern Data Stack Migration Guide phData Marketing July 18, 2023 This guide was co-written by a team of data experts, including Dakota Kelley, Ahmad Aburia, Sam Hall, and Sunny Yan. Imagine a world where all of your data is organized, easily accessible, and routinely leveraged to drive impactful outcomes.

Data Warehouse 52

Data Warehouse Analytics Analytics Cloud Data 52

Snorkel AI

MAY 12, 2023

Our data teams focus on three important processes. First, data standardization, then providing model-ready data for data scientists, and then ensuring there’s strong data governance and monitoring solutions and tools in place. Model-ready data refers to a feature library.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Snorkel AI

MAY 12, 2023

Our data teams focus on three important processes. First, data standardization, then providing model-ready data for data scientists, and then ensuring there’s strong data governance and monitoring solutions and tools in place. Model-ready data refers to a feature library.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

phData

SEPTEMBER 27, 2024

Introduction: The Customer Data Modeling Dilemma You know, that thing we’ve been doing for years, trying to capture the essence of our customers in neat little profile boxes? For years, we’ve been obsessed with creating these grand, top-down customer data models. Yeah, that one.

Data Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52

IBM Journey to AI blog

AUGUST 7, 2023

Orion combines these capabilities with other blockchain properties, offering tamper evidence, provenance, data lineage, authenticity and non-repudiation, all while utilizing a standard data model and transactional APIs.

Data Governance 74

Data Governance Database Data Modeling Data Models 74

Hacker News

JULY 1, 2025

LinkedIn: https://www.linkedin.com/in/edwin-genego/ Throughout my career since 2018 I have primarily been a Python and Django developer, with a unintentional pivot to AI integrations & engineering in 2022/2023. Former CTO @ YCombinator, Techstars.

Python 65

Python AWS SQL ML 65

Hacker News

JULY 1, 2025

We 4x’d ARR in both 2023 and 2024. Experience integrating AI/ML models into production systems (LLMs, transformers, fine-tuning, etc.). Strong system design, data modeling, and architectural thinking. Hands-on experience with FastAPI (or comparable modern Python web frameworks).

Python 92

Python AWS ML ML 92