AWS Machine Learning Blog

APRIL 3, 2025

By analyzing their data, organizations can identify patterns in sales cycles, optimize inventory management, or help tailor products or services to meet customer needs more effectively. These initiatives will use the evolving capabilities provided by Amazon Bedrock to potentially incorporate advanced AI models and security features.

AWS 90

AWS Data Governance Data Silos SQL 90

Flipboard

MAY 5, 2025

This blog post explores how cutting-edge artificial intelligence (AI) techniques, powered by Amazon Web Services (AWS), can transform how users interact with knowledge bases. Connecting insights across data silos: LLMs can synthesize information from multiple reports and databases, delivering integrated perspectives.

AWS 73

AWS Data Silos Database Artificial Intelligence 73

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.

Data Governance 98

Data Governance Data Silos Data Quality 98

IBM Journey to AI blog

OCTOBER 22, 2024

The data universe is expected to grow exponentially with data rapidly propagating on-premises and across clouds, applications and locations with compromised quality. This situation will exacerbate data silos, increase pressure to manage cloud costs efficiently and complicate governance of AI and data workloads.

Data Silos 102

Data Silos Data Pipeline DataOps Business Intelligence 102

Precisely

APRIL 3, 2025

A poorly managed archiving system can lead to compliance risks, data silos, and inefficiencies that slow down operations. In this blog, well look at the five best practices for digital archiving in 2025.

Data Silos 64

Data Silos Analytics Analytics AI 64

AWS Machine Learning Blog

DECEMBER 29, 2022

However, working with data in the cloud can present challenges, such as the need to remove organizational data silos, maintain security and compliance, and reduce complexity by standardizing tooling. In the blog today, we will be executing the following steps: Cloning the sample repository with the required packages.

AWS 137

AWS Machine Learning Machine Learning Natural Language Processing 137

The Data Administration Newsletter

NOVEMBER 20, 2024

Data quality issues continue to plague financial services organizations, resulting in costly fines, operational inefficiencies, and damage to reputations. Key Examples of Data Quality Failures — […]

Data Quality 122

Data Quality Data Silos Data Governance 122

IBM Journey to AI blog

JANUARY 23, 2023

Ensure data quality Regularly check your data for accuracy and completeness. Break down data silos Data silos are the bane of any data governance program. If you’d like to explore more about data governance now, we recommend you check out The Data Differentiator.

Data Governance 74

Data Governance Data Silos Data Quality AI 74

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.

AWS 105

AWS Database Data Silos Data Lakes 105

IBM Journey to AI blog

MAY 9, 2024

Challenges in data governance for healthcare and how data lineage can help Data governance can help healthcare organizations maximize the accuracy and security of their data assets. Data quality issues Positive business decisions and outcomes rely on trustworthy, high-quality data.

Data Governance 85

Data Governance Data Silos Data Quality Predictive Analytics 85

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., In this post we discuss our research on federated learning , which aims to tackle this challenge by performing decentralized learning across private data silos.

Data Silos 130

Data Silos Algorithm ML ML 130

IBM Journey to AI blog

JANUARY 30, 2024

Besides paying for unnecessary or forgotten workloads, overprovisioning can also increase the multicloud attack surface, making it more vulnerable to data breaches or cyberattacks. Data silos: With data spread across multiple clouds and platforms, an organization risks creating data silos.

Cloud Computing 115

Cloud Computing Data Silos Azure AWS 115

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

IBM Journey to AI blog

JUNE 7, 2023

With IBM Storage Defender, clients can cut through data silos and devise an action plan to strengthen their data resilience. For example, a client could air-gap copies of the most sensitive data, hold it off-premises and periodically test for recoverability.

Data Silos 95

Data Silos 95

Dataversity

AUGUST 2, 2024

In today’s digital age, vast amounts of business data are gathered from different sources. Even when organizations strategically invest in analytics tools, they still face challenges in the form of data silos, unstructured data management, and failure of business-driven insights from tools.

Data Silos 52

Data Silos AI AI Analytics 52

Dataversity

DECEMBER 24, 2020

The Data Rants video blog series begins with host Scott Taylor “The Data Whisperer.” Click to learn more about author Scott Taylor.

Data Quality 97

Data Quality Data Silos Data Governance 97

IBM Journey to AI blog

OCTOBER 18, 2024

Strong integration capabilities ensure smooth data flow between departments, eliminating data silos. Explore why you should choose Planning Analytics The post 6 best practices for choosing a business planning solution appeared first on IBM Blog. Flexibility is key.

Data Silos 101

Data Silos Analytics Analytics AI 101

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.

Data Silos 52

Data Silos Data Quality Cloud Data 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

Alation

MARCH 29, 2022

The 1980s ushered in the antithesis of this version of computing — personal computing and distributed database management — but also introduced duplicated data and enterprise data silos. During the 1990s, attempts were made to tackle challenges including: Inefficient data silos. Subscribe to Alation's Blog.

Business Intelligence 96

Business Intelligence Business Intelligence Data Silos Citizen Data Scientist 96

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. Acknowledgement I would like to thank Ananya Sarkar for helping me with this blog and Yannick Saillet for helping me to review it.

SQL 130

SQL Data Quality Data Governance Data Scientist 130

IBM Journey to AI blog

JANUARY 25, 2023

In our last blog , we introduced Data Governance: what it is and why it is so important. In this blog, we will explore the challenges that organizations face as they start their governance journey. Organizations have long struggled with data management and understanding data in a complex and ever-growing data landscape.

Data Governance 52

Data Governance Data Silos Data Quality Analytics 52

Precisely

SEPTEMBER 12, 2023

As a proud member of the Connect with Confluent program , we help organizations going through digital transformation and IT infrastructure modernization break down data silos and power their streaming data pipelines with trusted data.

Data Silos 52

Data Silos Apache Kafka Data Pipeline Data Quality 52

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.

Data Warehouse 110

Data Warehouse Data Lakes Cloud Data Analytics 110

phData

NOVEMBER 9, 2023

This blog was originally written by Keith Smith and updated for 2024 by Justin Delisi. Snowflake’s Data Cloud has emerged as a leader in cloud data warehousing. 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.

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

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

APRIL 18, 2023

Data, technology, and improved trade execution could all be utilized by businesses to increase investment returns, spur innovation, and provide better investor experiences. The data-sharing features of Snowflake enable enterprises to integrate their data without creating any data silos or building new technology capabilities.

Data Silos 52

Data Silos ETL Clustering Analytics 52

IBM Journey to AI blog

DECEMBER 7, 2023

API-led connectivity, also known as API-led integration or API connectivity, addresses these requirements to helps organizations break down data silos, improve collaboration, respond to change quickly and increase innovation. This is where application programming interfaces (APIs) can help.

Data Silos 88

Data Silos 88

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

AWS Machine Learning Blog

MARCH 15, 2024

For more information, refer to Releasing FedLLM: Build Your Own Large Language Models on Proprietary Data using the FedML Platform. FedML Octopus System hierarchy and heterogeneity is a key challenge in real-life FL use cases, where different data silos may have different infrastructure with CPU and GPUs.

AWS 134

AWS ML ML Machine Learning 134

AWS Machine Learning Blog

MAY 16, 2025

One of the key challenges they face is managing the complexity of disparate business systems and workflows, which leads to inefficiencies, data silos, and missed opportunities.

AWS 76

AWS Data Silos AI AI 76

IBM Journey to AI blog

OCTOBER 13, 2023

In addition, digital transformation initiatives have created the proliferation of applications, creating data siloes. Request a demo and try IBM Event Automation The post Responding in real time to changing market dynamics appeared first on IBM Blog.

Data Silos 83

Data Silos Data Analysis Data Analysis Algorithm 83

IBM Journey to AI blog

JANUARY 15, 2024

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. Start your journey toward efficient, AI-powered process optimization.

Data Silos 85

Data Silos AI AI Artificial Intelligence 85

Alation

OCTOBER 5, 2021

Roadblock #3: Silos Breed Misunderstanding. A data silo is an island of information that does not connect with other islands. Typically, these data silos will prevent two-way flows of data outside and inside of the organization. Subscribe to Alation's Blog. and/or its affiliates in the U.S.

Data Governance 96

Data Governance Data Quality Data Silos Analytics 96

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? Curious to see Alation in action?

Analytics 52

Analytics Analytics Data Silos Big Data 52

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

FEBRUARY 19, 2024

Figure 2: The data product lifecycle The banking industry, for example, faces the following challenges: Competition from agile and innovative financial technology and challenger banks. Organizational data silos that impede a unified customer experience. High degree of regulatory control. Need to protect sensitive information.

Analytics 82

Analytics Analytics Data Silos Data Warehouse 82