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

Precisely

MARCH 4, 2024

A striking revelation from the 2023 Gartner IT Symposium Research Super Focus Group showed that only 4% of businesses considered their data AI-ready. This big wake-up call emphasizes the urgent need for organizations to enhance their data management practices to pave the way for trusted AI applications.

AI 72

AI AI Data Quality Artificial Intelligence 72

IBM Journey to AI blog

JANUARY 15, 2024

The plan aimed to address digital transformation along with a digital construction plan for 2023. It introduced Robotic Process Automation (RPA) in pilot scenarios to swiftly enhance process efficiency and quality, integrating system resources cost-effectively and breaking data silos.

Data Silos 85

Data Silos AI AI Artificial Intelligence 85

Precisely

OCTOBER 12, 2023

The Need for Sustainable Compliance This swirl of macro trends has majorly impacted businesses in financial services and across industries – and the effects can be seen in data strategies. Doing so requires comprehensive data quality and data governance programs that help you clearly understand who you’re dealing with.

Data Quality 64

Data Quality Data Governance ML ML 64

Precisely

MAY 16, 2024

At the 2023 Gartner IT Symposium Research Super Focus Group, only 4% say their data is AI-ready. You need to break down data silos and integrate critical data from all relevant sources into Amazon Web Services (AWS). Fuel your AI applications with trusted data to power reliable results.

AI 69

AI AI AWS Data Quality 69

phData

SEPTEMBER 20, 2023

A data mesh is a decentralized approach to data architecture that’s been gaining traction as a solution to the challenges posed by large and complex data ecosystems. It’s all about breaking down data silos, empowering domain teams to take ownership of their data, and fostering a culture of data collaboration.

Data Silos 52

Data Silos Database Data Quality Data Engineering 52

IBM Journey to AI blog

JANUARY 17, 2023

A data fabric architecture elevates the value of enterprise data by providing the right data, at the right time, regardless of where it resides. To simplify the process of becoming data-driven with a data fabric, we are focusing on the four most common entry points we see with data fabric journeys.

Data Governance 58

Data Governance Data Science Data Silos AI 58

IBM Journey to AI blog

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

AWS 93

AWS Database ETL AI 93

Heartbeat

DECEMBER 7, 2023

What is Data Mesh? Data Mesh is a new data set that enables units or cross-functional teams to decentralize and manage their data domains while collaborating to maintain data quality and consistency across the organization — architecture and governance approach. on Twitter: "Data is addictive!

Data Governance 52

Data Governance Deep Learning Deep Learning Artificial Intelligence 52

ODSC - Open Data Science

SEPTEMBER 29, 2023

A 2019 survey by McKinsey on global data transformation revealed that 30 percent of total time spent by enterprise IT teams was spent on non-value-added tasks related to poor data quality and availability. The data lake can then refine, enrich, index, and analyze that data. Save the Date!

Data Lakes 52

Data Lakes Clustering Big Data Big Data 52

Flipboard

MARCH 21, 2025

Through this unified query capability, you can create comprehensive insights into customer transaction patterns and purchase behavior for active products without the traditional barriers of data silos or the need to copy data between systems.

SQL 141

SQL Data Analyst Data Warehouse AWS 141

AWS Machine Learning Blog

MARCH 15, 2024

In Dr. Werner Vogels’s own words at AWS re:Invent 2023 , “every second that a person has a stroke counts.” Medical data restrictions You can use machine learning (ML) to assist doctors and researchers in diagnosis tasks, thereby speeding up the process. Much of this work comes down to the data.” Stroke victims can lose around 1.9

AWS 133

AWS ML ML Data Silos 133

phData

SEPTEMBER 27, 2024

In transitional modeling, we’d add new atoms: Subject: Customer#1234 Predicate: hasEmailAddress Object: "john.new@example.com" Timestamp: 2023-07-24T10:00:00Z The old email address atoms are still there, giving us a complete history of how to contact John. In a traditional model, we’d update the email field in the customer record.

Data Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52