Alation

JANUARY 27, 2022

People might not understand the data, the data they chose might not be ideal for their application, or there might be better, more current, or more accurate data available. An effective data governance program ensures data consistency and trustworthiness. It can also help prevent data misuse.

Data Governance 52

Data Governance Analytics Analytics Data Quality 52

Alation

NOVEMBER 22, 2022

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

Data Governance 52

Data Governance Data Quality Data Silos Analytics 52

Pickl AI

JULY 24, 2024

Summary: Data quality is a fundamental aspect of Machine Learning. Poor-quality data leads to biased and unreliable models, while high-quality data enables accurate predictions and insights. What is Data Quality in Machine Learning? What is Data Quality in Machine Learning?

Data Quality 52

Data Quality Machine Learning Machine Learning Clean Data 52

ODSC - Open Data Science

APRIL 28, 2023

Be sure to check out her talk, “ Power trusted AI/ML Outcomes with Data Integrity ,” there! Due to the tsunami of data available to organizations today, artificial intelligence (AI) and machine learning (ML) are increasingly important to businesses seeking competitive advantage through digital transformation.

ML 98

ML ML Data Silos Data Quality 98

AWS Machine Learning Blog

JANUARY 13, 2023

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at any single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.

AWS 91

AWS Analytics Analytics Machine Learning 91

Precisely

AUGUST 22, 2024

Both architectures tackle significant data management challenges such as integrating disparate data sources, improving data accessibility, automating management processes, and ensuring data governance and security. Problems it solves Data fabric addresses key data management and use challenges.

Data Governance 69

Data Governance Data Silos Analytics Analytics 69

Precisely

JANUARY 17, 2023

Technology helped to bridge the gap, as AI, machine learning, and data analytics drove smarter decisions, and automation paved the way for greater efficiency. AI and machine learning initiatives play an increasingly important role.

Data Quality 97

Data Quality Machine Learning Machine Learning Data Silos 97

Alation

FEBRUARY 1, 2022

A new research report by Ventana Research, Embracing Modern Data Governance , shows that modern data governance programs can drive a significantly higher ROI in a much shorter time span. Historically, data governance has been a manual and restrictive process, making it almost impossible for these programs to succeed.

Data Lakes 52

Data Lakes Data Governance ML ML 52

IBM Journey to AI blog

APRIL 15, 2024

Organizations gain the ability to effortlessly modify and scale their data in response to shifting business demands, leading to greater agility and adaptability. A data virtualization platform breaks down data silos by using data virtualization.

Analytics 81

Analytics Analytics Data Silos AI 81

IBM Journey to AI blog

JUNE 15, 2023

There’s no debate that the volume and variety of data is exploding and that the associated costs are rising rapidly. The proliferation of data silos also inhibits the unification and enrichment of data which is essential to unlocking the new insights. This provides further opportunities for cost optimization.

Data Warehouse 110

Data Warehouse Data Lakes Cloud Data Analytics 110

IBM Journey to AI blog

OCTOBER 30, 2023

The platform provides an intelligent, self-service data ecosystem that enhances data governance, quality and usability. By migrating to watsonx.data on AWS, companies can break down data silos and enable real-time analytics, which is crucial for timely decision-making.

AWS 95

AWS AI AI Data Warehouse 95

phData

NOVEMBER 9, 2023

The primary objective of this idea is to democratize data and make it transparent by breaking down data silos that cause friction when solving business problems. What Components Make up the Snowflake Data Cloud?

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

AWS Machine Learning Blog

JANUARY 13, 2023

Analyzing real-world healthcare and life sciences (HCLS) data poses several practical challenges, such as distributed data silos, lack of sufficient data at a single site for rare events, regulatory guidelines that prohibit data sharing, infrastructure requirement, and cost incurred in creating a centralized data repository.

AWS 87

AWS Analytics Analytics Machine Learning 87

Alation

JUNE 28, 2022

This is where metadata, or the data about data, comes into play. Having a data catalog is the cornerstone of your data governance strategy, but what supports your data catalog? Your metadata management framework provides the underlying structure that makes your data accessible and manageable.

Data Governance 52

Data Governance Data Analyst Machine Learning Machine Learning 52

Alation

MAY 2, 2023

The hospitality industry generates vast amounts of data from various sources, including customer bookings, transactions, loyalty programs, social media, and guest feedback. The more data fed into an algorithm, the more accurate the outcome.

Analytics 52

Analytics Analytics Data Silos Data Governance 52

IBM Journey to AI blog

MAY 9, 2023

Supporting the data management life cycle According to IDC’s Global StorageSphere, enterprise data stored in data centers will grow at a compound annual growth rate of 30% between 2021-2026. [2] ” Notably, watsonx.data runs both on-premises and across multicloud environments.

Data Warehouse 92

Data Warehouse AWS AI AI 92

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 Wrangling 52

Precisely

JULY 18, 2024

While data fabric is not a standalone solution, critical capabilities that you can address today to prepare for a data fabric include automated data integration, metadata management, centralized data governance, and self-service access by consumers. Increase metadata maturity.

Data Lakes 52

Data Lakes Data Warehouse Data Governance Machine Learning 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

Alation

MARCH 21, 2023

While this industry has used data and analytics for a long time, many large travel organizations still struggle with data silos , which prevent them from gaining the most value from their data. What is big data in the travel and tourism industry? What are common data challenges for the travel industry?

Analytics 52

Analytics Analytics Data Silos Big Data 52

Alation

APRIL 7, 2021

But only a data catalog built as a platform can empower people to find, understand, and govern data, and support emerging data intelligence use cases. Alation possesses three unique capabilities: intelligence, active data governance, and broad, deep connectivity. Active Data Governance.

Data Governance 52

Data Governance AWS Data Silos Data Lakes 52

Precisely

JUNE 26, 2023

They shore up privacy and security, embrace distributed workforce management, and innovate around artificial intelligence and machine learning-based automation. The key to success within all of these initiatives is high-integrity data. Do the takeaways we’ve covered resonate with your own data integrity needs and challenges?

Data Quality 52

Data Quality Data Silos Data Governance Analytics 52

Alation

DECEMBER 9, 2021

Then, we’ll dive into the strategies that form a successful and efficient cloud transformation strategy, including aligning on business goals, establishing analytics for monitoring and optimization, and leveraging a robust data governance solution. Leverage a Data Governance Solution. What is Cloud Transformation?

Data Governance 52

Data Governance Cloud Data Data Silos Analytics 52

Precisely

FEBRUARY 9, 2024

In 2024 organizations will increasingly turn to third-party data and spatial insights to augment their training and reference data for the most nuanced, coherent, and contextually relevant AI output. When it comes to AI outputs, results will only be as strong as the data that’s feeding them.

Data Quality 69

Data Quality DataOps Data Silos Artificial Intelligence 69

Alation

NOVEMBER 16, 2021

Data Governance is growing essential. Data growth, shrinking talent pool, data silos – legacy & modern, hybrid & cloud, and multiple tools – add to their challenges. They often lack guidance into how to prioritize curation and data documentation efforts.

Data Governance 52

Data Governance Data Scientist SQL Data Silos 52

Alation

MAY 2, 2023

The hospitality industry generates vast amounts of data from various sources, including customer bookings, transactions, loyalty programs, social media, and guest feedback. The more data fed into an algorithm, the more accurate the outcome.

Analytics 40

Analytics Analytics Data Silos Data Governance 40

Alation

DECEMBER 13, 2022

Today a modern catalog hosts a wide range of users (like business leaders, data scientists and engineers) and supports an even wider set of use cases (like data governance , self-service , and cloud migration ). So feckless buyers may resort to buying separate data catalogs for use cases like…. Data governance.

DataOps 52

DataOps Data Governance Data Silos Data Scientist 52

Precisely

FEBRUARY 2, 2023

This requires access to data from across business systems when they need it. Data silos and slow batch delivery of data will not do. Stale data and inconsistencies can distort the perception of what is really happening in the business leading to uncertainty and delay.

Data Pipeline 52

Data Pipeline Data Silos Database Data Observability 52

Precisely

OCTOBER 12, 2023

Doing so requires comprehensive data quality and data governance programs that help you clearly understand who you’re dealing with. Strong data quality and data governance programs are key to success in these use cases as well. Internal controls and fraud detection.

Data Quality 64

Data Quality Data Governance ML ML 64

Pickl AI

DECEMBER 4, 2023

Imagine this: we collect loads of data, right? Data Intelligence takes that data, adds a touch of AI and Machine Learning magic, and turns it into insights. It’s not just about having data; it’s about turning that data into real wisdom for better products and services. These insights?

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

phData

MAY 13, 2024

Even if organizations survive a migration to S/4 and HANA cloud, licensing and performance constraints make it difficult to perform advanced analytics on this data within the SAP environment. Most importantly, this creates options for your organization as you explore leveraging the data that has been centralized in Snowflake.

Database 52

Database Analytics Analytics Machine Learning 52

Heartbeat

DECEMBER 7, 2023

What are the new data governance trends, “Data Fabric” and “Data Mesh”? I decided to write a series of blogs on current topics: the elements of data governance that I have been thinking about, reading, and following for a while. Advantages: Consistency ensures trust in data governance.

Data Governance 52

Data Governance Deep Learning Deep Learning Artificial Intelligence 52

Alation

OCTOBER 12, 2021

In the past, businesses would collect data, run analytics, and extract insights, which would inform strategy and decision-making. Nowadays, machine learning , AI, and augmented reality analytics are speeding up this process, so that collection and analysis are always on. Implementing adaptive, active data governance.

Analytics 52

Analytics Analytics Data Governance DataOps 52

phData

JUNE 20, 2024

Data as the foundation of what the business does is great – but how do you support that? What technology or platform can meet the needs of the business, from basic report creation to complex document analysis to machine learning workflows? The Snowflake AI Data Cloud is the platform that will support that and much more!

Data Governance 52

Data Governance Analytics Analytics Power BI 52

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

Pickl AI

DECEMBER 10, 2024

Unified Data Fabric Unified data fabric solutions enable seamless access to data across diverse environments, including multi-cloud and on-premise systems. These solutions break down data silos, making it easier to integrate and analyse data from various sources in real-time.

Analytics 52

Analytics Analytics Augmented Analytics Machine Learning 52

Pickl AI

DECEMBER 11, 2024

Efficiency emphasises streamlined processes to reduce redundancies and waste, maximising value from every data point. Common Challenges with Traditional Data Management Traditional data management systems often grapple with data silos, which isolate critical information across departments, hindering collaboration and transparency.

Data Silos 52

Data Silos Data Pipeline Artificial Intelligence Artificial Intelligence 52