Precisely

JUNE 2, 2023

Innovators in the industry understand that leading-edge technologies such as AI and machine learning will be a deciding factor in the quest for competitive advantage when moving to the cloud. Forbes reports that 84% of CEOs are concerned about the integrity of the data they use to make important decisions every day.

Data Silos 52

Data Silos ETL Data Quality Data Pipeline 52

phData

APRIL 18, 2023

This is due to a fragmented ecosystem of data silos, a lack of real-time fraud detection capabilities, and manual or delayed customer analytics, which results in many false positives. Snowflake Marketplace offers data from leading industry providers such as Axiom, S&P Global, and FactSet.

Data Silos 52

Data Silos ETL Clustering Analytics 52

Pickl AI

DECEMBER 11, 2024

Summary: Lean data management enhances agility by streamlining data processes, reducing waste, and ensuring accuracy and relevance. By leveraging AI and automation, organisations optimise operations and maintain competitive advantage in fast-changing markets. It enables faster decisions, better collaboration, and scalability.

Data Silos 52

Data Silos Data Pipeline Artificial Intelligence Artificial Intelligence 52

IBM Journey to AI blog

JANUARY 17, 2023

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. Furthermore, a global effort to create new data privacy laws, and the increased attention on biases in AI models, has resulted in convoluted business processes for getting data to users.

Data Governance 58

Data Governance Data Science Data Silos AI 58

phData

FEBRUARY 14, 2023

Insurance companies often face challenges with data silos and inconsistencies among their legacy systems. To address these issues, they need a centralized and integrated data platform that serves as a single source of truth, preferably with strong data governance capabilities.

Data Governance 52

Data Governance Data Silos Predictive Analytics Data Scientist 52

IBM Journey to AI blog

JANUARY 5, 2023

What does a modern data architecture do for your business? A modern data architecture like Data Mesh and Data Fabric aims to easily connect new data sources and accelerate development of use case specific data pipelines across on-premises, hybrid and multicloud environments.

Data Quality 52

Data Quality Data Lakes Data Warehouse Big Data 52

Alation

APRIL 19, 2022

Access the resources your data applications need — no more, no less. Data Pipeline Automation. Consolidate all data sources to automate pipelines for processing in a single repository. For example, as you build out your data modernization initiative you need to consider: Before Migration: What data is popular?

Data Governance 52

Data Governance Cloud Data Database Data Silos 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. It truly is an all-in-one data lake solution.

Data Lakes 52

Data Lakes Clustering Big Data Big Data 52

phData

JUNE 20, 2024

Data as the foundation of what the business does is great – but how do you support that? The Snowflake AI Data Cloud is the platform that will support that and much more! It is the ideal single source of truth to support analytics and drive data adoption – the foundation of the data culture!

Data Governance 52

Data Governance Analytics Analytics Power BI 52

Pickl AI

JULY 24, 2024

Employ data validation and error handling mechanisms during data entry to prevent issues from propagating. Data profiling provides valuable insights into data characteristics, enabling identification of potential quality problems. AI and Machine Learning These are emerging as powerful tools for enhancing data quality.

Data Quality 52

Data Quality Machine Learning Machine Learning Clean Data 52

Dataversity

APRIL 1, 2021

In the data-driven world we live in today, the field of analytics has become increasingly important to remain competitive in business. In fact, a study by McKinsey Global Institute shows that data-driven organizations are 23 times more likely to outperform competitors in customer acquisition and nine times […].

Analytics 69

Analytics Analytics Data Silos Data Lakes 69

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. Subscription fulfillment is automated, reducing the administrative overhead.

SQL 136

SQL Data Analyst Data Warehouse AWS 136

AWS Machine Learning Blog

MARCH 15, 2024

Federation learning to save the day (and save lives) For good artificial intelligence (AI), you need good data. Legacy systems, which are frequently found in the federal domain, pose significant data processing challenges before you can derive any intelligence or merge them with newer datasets.

AWS 128

AWS ML ML Data Silos 128

phData

SEPTEMBER 27, 2024

Both persistent staging and data lakes involve storing large amounts of raw data. But persistent staging is typically more structured and integrated into your overall customer data pipeline. It’s not just a dumping ground for data, but a crucial step in your customer data processing workflow.

Data Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52