Dataversity

AUGUST 5, 2024

In the race to become data-driven, many enterprises are stumbling over an age-old hurdle: data silos. A recent study by IDC found that data silos cost the global economy a whopping $3.1 A report […] The post Breaking Down Data Silos for Digital Transformation Success appeared first on DATAVERSITY.

Data Silos 59

Data Silos 59

Alation

OCTOBER 19, 2021

Although organizations don’t set out to intentionally create data silos, they are likely to arise naturally over time. This can make collaboration across departments difficult, leading to inconsistent data quality , a lack of communication and visibility, and higher costs over time (among other issues). What Are Data Silos?

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AWS Machine Learning Blog

SEPTEMBER 14, 2023

This post takes you through the most common challenges that customers face when searching internal documents, and gives you concrete guidance on how AWS services can be used to create a generative AI conversational bot that makes internal information more useful. The cost associated with training models on recent data is high.

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Flipboard

NOVEMBER 22, 2024

Data science team account (consumer) – There can be one or more data science team accounts or data consumer accounts within the organization. We provide additional information later in this post. For more information about the architecture in detail, refer to Part 1 of this series.

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Dataconomy

NOVEMBER 19, 2024

Picnic simplifies medical records and provides actionable insights, enabling patients to make informed decisions. By integrating health data from any U.S. care site, Picnic breaks down data silos and makes it easier to navigate a complex healthcare system.

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Dataconomy

OCTOBER 11, 2023

Delv AI: Pioneering AI solutions for data extraction Delv AI, at the core of this burgeoning firm, is on a quest to improve data extraction and say goodbye to data silos. Delv AI is an innovative AI-powered platform that specializes in enhancing data extraction processes.

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Flipboard

MAY 5, 2025

Organizations that host vast repositories of reports, strategies, evaluations, and other content often face challenges in helping users efficiently navigate and access this wealth of information. Retrieval Augmented Generation (RAG) enhances this capability by combining LLMs with powerful information retrieval techniques.

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AWS Machine Learning Blog

APRIL 3, 2025

Data is one of the most critical assets of many organizations. Theyre constantly seeking ways to use their vast amounts of information to gain competitive advantages. This enables OMRON to extract meaningful patterns and trends from its vast data repositories, supporting more informed decision-making at all levels of the organization.

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Flipboard

JUNE 5, 2023

True data quality simplification requires transformation of both code and data, because the two are inextricably linked. Code sprawl and data siloing both imply bad habits that should be the exception, rather than the norm.

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Smart Data Collective

MAY 31, 2022

Data activation is a new and exciting way that businesses can think of their data. It’s more than just data that provides the information necessary to make wise, data-driven decisions. It’s more than just allowing access to data warehouses that were becoming dangerously close to data silos.

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Dataconomy

JUNE 3, 2025

A conformed dimension is a set of attributes that are shared across multiple fact tables within a data warehouse. This ensures that different business processes can utilize the same dimensional data, enabling a consistent understanding and analysis of information, regardless of the source.

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Smart Data Collective

SEPTEMBER 27, 2022

Now is the time for companies deploying limited tools to consider switching to cloud-based data storage and powerful product planning tools. Data silos have become one of the biggest restraints with using linear manufacturing processes. Does the platform eliminate your data silos into one accessible source of truth?

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Flipboard

MAY 14, 2025

In this post, we show you how Amazon Q Business can help augment your generative AI needs in all the abovementioned use cases and more by answering questions, providing summaries, generating content, and securely completing tasks based on data and information in your enterprise systems. Traditionally, businesses face a challenge.

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AWS Machine Learning Blog

DECEMBER 3, 2024

Amazon Q Business is a generative AI-powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. For more information, see Configure Amazon Q Business with AWS IAM Identity Center trusted identity propagation.

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Dataversity

AUGUST 4, 2023

Generating actionable insights across growing data volumes and disconnected data silos is becoming increasingly challenging for organizations. Working across data islands leads to siloed thinking and the inability to implement critical business initiatives such as Customer, Product, or Asset 360.

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Dataconomy

MAY 10, 2022

Data democratization is the practice of making digital data available to the average non-technical user of information systems without requiring IT’s assistance.

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Precisely

FEBRUARY 20, 2025

Thats where data integration comes in. Data integration breaks down data silos by giving users self-service access to enterprise data, which ensures your AI initiatives are fueled by complete, relevant, and timely information. Assessing potential challenges , like resource constraints or existing data silos.

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Dataconomy

JUNE 1, 2023

Unified data storage : Fabric’s centralized data lake, Microsoft OneLake, eliminates data silos and provides a unified storage system, simplifying data access and retrieval. This open format allows for seamless storage and retrieval of data across different databases.

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Dataconomy

APRIL 6, 2023

From lack of data literacy to data silos and security concerns, there are many obstacles that organizations need to overcome in order to successfully democratize their data. Why is data democratization important? Data democratization is important for a number of reasons. How to democratize data?

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Precisely

DECEMBER 16, 2024

Tool overload can lead to inefficiencies and data silos. The difficulties faced by IT teams often boil down to three key issues: Data silos. Without native integration into observability tools, information delivery and reporting will be delayed. Legacy systems operate in isolation. Manual workflows.

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Precisely

DECEMBER 12, 2024

Mainframe data is not just large in volume; it is also rich in context, containing a wide variety of transactional, demographic, and behavioral information that can provide invaluable insights when used effectively. One of the root causes of bias in AI is the limited and incomplete data sets used to train models.

AI 64

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Pickl AI

DECEMBER 4, 2023

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. Data Intelligence emerges as the indispensable force steering businesses towards informed and strategic decision-making. These insights?

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Dataconomy

APRIL 16, 2025

By embracing composable analytics, organizations can harness the power of integrated data analytics and business intelligence to drive meaningful insights and informed decision-making. What is composable analytics? Increased flexibility and agility: Easily adapts to evolving business conditions and requirements.

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ODSC - Open Data Science

APRIL 28, 2023

As critical data flows across an organization from various business applications, data silos become a big issue. The data silos, missing data, and errors make data management tedious and time-consuming, and they’re barriers to ensuring the accuracy and consistency of your data before it is usable by AI/ML.

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Precisely

NOVEMBER 13, 2024

Challenges around data literacy, readiness, and risk exposure need to be addressed – otherwise they can hinder MDM’s success Businesses that excel with MDM and data integrity can trust their data to inform high-velocity decisions, and remain compliant with emerging regulations. Today, you have more data than ever.

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Dataversity

MAY 26, 2021

organizations that seek to establish and enhance their intelligence need to outline processes that will enable scalable and informed decisions that can quantify uncertainty and reduce risk. The post Make Informed Decisions and Better Data Outcomes Will Follow appeared first on DATAVERSITY.

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IBM Journey to AI blog

MAY 9, 2024

Understanding data governance in healthcare The need for a strong data governance framework is undeniable in any highly-regulated industry, but the healthcare industry is unique because it collects and processes massive amounts of personal data to make informed decisions about patient care. The consequence?

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Alation

APRIL 13, 2021

Much of his work focuses on democratising data and breaking down data silos to drive better business outcomes. In this blog, Chris shows how Snowflake and Alation together accelerate data culture. He shows how Texas Mutual Insurance Company has embraced data governance to build trust in data.

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Precisely

APRIL 3, 2025

A poorly managed archiving system can lead to compliance risks, data silos, and inefficiencies that slow down operations. Enable Easy Access for Customer Experience and Internal Teams Archived data should be easily accessiblenot locked away in a silo.

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Tableau

OCTOBER 7, 2024

Spencer Czapiewski October 7, 2024 - 9:59pm Madeline Lee Product Manager, Technology Partners Enabling teams to make trusted, data-driven decisions has become increasingly complex due to the proliferation of data, technologies, and tools.

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Dataversity

FEBRUARY 6, 2023

Organizations seeking responsive and sustainable solutions to their growing data challenges increasingly lean on architectural approaches such as data mesh to deliver information quickly and efficiently.

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Data Silos Data Quality Cloud Data 52

Smart Data Collective

JUNE 3, 2019

Big Data’s promise of value in the financial services industry is particularly differentiating. With no physical products to offer, the data, the source of the information – is without a doubt one of its most important assets. quintillion bytes of data are created every day. They show statistics that 2.5

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Dataconomy

MAY 26, 2025

Big data management encompasses the intricate processes and technologies that organizations employ to handle vast amounts of data. As businesses increasingly rely on data to drive strategies and decisions, effective management of this information becomes essential for achieving competitive advantage and insights.

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ML @ CMU

MAY 12, 2023

Unfortunately, while this data contains a wealth of useful information for disease forecasting, the data itself may be highly sensitive and stored in disparate locations (e.g., learning across large networks of devices such as mobile phones), the area of cross-silo FL (e.g., of people became infected in the final week.

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Alation

MARCH 29, 2022

Historian Richard Millar Devens first used the term to describe the machinations of banker Sir Henry Furnese, who collected information and acted on it quickly to outsmart his competition. Today, the term describes that same activity, but on a much larger scale, as organizations race to collect, analyze, and act on data first.

Business Intelligence 96

Business Intelligence Business Intelligence Data Silos Citizen Data Scientist 96

Pickl AI

DECEMBER 3, 2024

By leveraging GenAI, businesses can personalize customer experiences and improve data quality while maintaining privacy and compliance. Introduction Generative AI (GenAI) is transforming Data Analytics by enabling organisations to extract deeper insights and make more informed decisions.

Analytics 52

Analytics Analytics Data Quality AI 52

AWS Machine Learning Blog

MARCH 15, 2024

With increased access to data, ML has the potential to provide unparalleled business insights and opportunities. However, the sharing of raw, non-sanitized sensitive information across different locations poses significant security and privacy risks, especially in regulated industries such as healthcare.

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