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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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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AWS Data Governance Data Silos SQL 86

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.

AI 91

AI AI Data Silos Artificial Intelligence 91

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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Data Silos AI AI Computer Science 185

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.

Data Quality 121

Data Quality Data Silos Big Data Big Data 121

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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ETL Data Silos Data Warehouse Big Data 142

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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Data Silos Internet of Things Data Visualization Analytics 134

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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Data Silos Data Governance Data Quality 98

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.

Data Analyst 215

Data Analyst Data Silos Data Governance Big Data 215

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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Data Silos AI AI Data Quality 69

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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Power BI Data Lakes Azure Data Silos 194

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?

Data Governance 118

Data Governance Data Silos Data Analysis Data Analysis 118

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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Artificial Intelligence Artificial Intelligence Data Silos Machine Learning 59

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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Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

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.

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AI AI Algorithm Data Silos 64

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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Data Governance Data Silos Data Quality Predictive Analytics 85

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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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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Data Silos Analytics Analytics AI 64

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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Augmented Analytics Data Silos Analytics Analytics 52

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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Data Governance Data Silos Data Quality 98

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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Tableau Data Quality Analytics Analytics 138

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

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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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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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.

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Business Intelligence Business Intelligence Data Silos Citizen Data Scientist 96

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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Dataconomy

SEPTEMBER 23, 2024

Collecting huge amounts of information can result in violations of data privacy regulations like GDPR, which demand strict user consent and control over personal data. It can also overwhelm systems and lead to poor data management, making it harder to extract actionable insights.

Data Lakes 103

Data Lakes Data Silos Analytics Analytics 103

Smart Data Collective

OCTOBER 20, 2021

The data integration landscape is under a constant metamorphosis. In the current disruptive times, businesses depend heavily on information in real-time and data analysis techniques to make better business decisions, raising the bar for data integration.

ML 133

ML ML Big Data Big Data 133

Dataversity

JANUARY 5, 2024

The average enterprise IT organization is managing petabytes of file and object data. This has resulted in high costs for data storage and protection, growing security risks from shadow IT and too many data silos, and the desire to leverage […] The post Unstructured Data Management Predictions for 2024 appeared first on DATAVERSITY.

Data Silos 59

Data Silos Cloud Data AI AI 59

Precisely

JULY 12, 2024

Location intelligence : Make data more actionable by adding a layer of richness and complexity to it with location insight and analytics. Data enrichment : Add context, nuance, and meaning to internal data by enriching it with data from external sources. How does data integrity impact business outcomes?

Data Quality 105

Data Quality Data Governance Database Analytics 105

IBM Data Science in Practice

APRIL 26, 2024

In this blog, we explore how the introduction of SQL Asset Type enhances the metadata enrichment process within the IBM Knowledge Catalog , enhancing data governance and consumption. Understanding Data Fabric and IBM Knowledge Catalog A data fabric is an architectural blueprint that helps transcending traditional data silos and complexities.

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IBM Data Science in Practice

NOVEMBER 28, 2022

Insights from data gathered across business units improve business outcomes, but having heterogeneous data from disparate applications and storages makes it difficult for organizations to paint a big picture. How can organizations get a holistic view of data when it’s distributed across data silos?

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Data Pipeline Data Quality Data Preparation Data Governance 130

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?

Data Governance 70

Data Governance Data Silos Data Analysis Data Analysis 70

Ocean Protocol

DECEMBER 11, 2023

About Ocean Protocol Ocean Protocol is a decentralized data-sharing ecosystem spearheading the movement to unlock a New Data Economy, break down data silos, and open access to quality data. This has many applications, from decentralized marketplaces to peer-to-peer platforms and AI-generated art.

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Data Silos Data Science AI AI 105

Tableau

OCTOBER 14, 2021

IT faces hurdles in equipping people with the necessary insights to solve strategic problems quickly and act in their customers’ best interests; likewise, business units can struggle to find the right data when it’s needed most. Data management processes are not integrated into workflows, making data and analytics more challenging to scale.

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