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.

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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. Amazon Q Business enables organizations to quickly and effortlessly analyze their data, uncover insights, and make data-driven decisions.

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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. At AWS, we believe the future of knowledge discovery isnt about queriesits about conversations.

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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.

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Dataconomy

FEBRUARY 13, 2025

Capgemini : SAP Databricks will enable seamless data integration, maximizing AI-driven business benefits, said Niraj Parihar, CEO of insights and data global business line at Capgemini. EY : Connecting data across the enterprise unlocks transformative business opportunities, said Hugh Burgin, EY-Databricks alliance leader.

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AWS Machine Learning Blog

OCTOBER 29, 2024

You can use cross-account observability in CloudWatch to search, analyze, and correlate cross-account telemetry data stored in CloudWatch such as metrics, logs, and traces from one centralized account. You can now set up a central observability AWS account and connect your other accounts as sources.

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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 web application front-end is hosted on AWS Amplify.

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AWS Machine Learning Blog

DECEMBER 29, 2022

The use of RStudio on SageMaker and Amazon Redshift can be helpful for efficiently performing analysis on large data sets in the cloud. 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.

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IBM Journey to AI blog

JANUARY 30, 2024

Amazon Web Services (AWS), Google Cloud Platform, IBM Cloud or Microsoft Azure—within the same IT infrastructure. For instance, an organization might use Microsoft Azure for storing data, AWS for development and testing new applications, and Google Cloud for backup and disaster recovery.

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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] Wasonx.data will be available on premises and across multiple cloud providers, including IBM Cloud and Amazon Web Services (AWS).

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Precisely

MAY 16, 2024

Watch the webinar AI You Can Trust Watch this webinar and see how we explore organizational challenges in maintaining data integrity for AI applications and real-world use cases showcasing the transformative impact of high-integrity data on AI success. Fuel your AI applications with trusted data to power reliable results.

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Smart Data Collective

MARCH 21, 2022

Data Mesh which is the latest addition to the stack is saving data teams from the hassle of producing qualitative data for all business types. Most recently, JP Morgan built a ‘Mesh’ on AWS and locked its scalability fortune on a decentralized architecture.

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IBM Journey to AI blog

MAY 15, 2024

According to International Data Corporation (IDC), stored data is set to increase by 250% by 2025 , with data rapidly propagating on-premises and across clouds, applications and locations with compromised quality. This situation will exacerbate data silos, increase costs and complicate the governance of AI and data workloads.

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Precisely

FEBRUARY 9, 2024

They’re where the world’s transactional data originates – and because that essential data can’t remain siloed, organizations are undertaking modernization initiatives to provide access to mainframe data in the cloud.

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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?

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Precisely

JUNE 12, 2023

Lack of agility : To take advantage of the newest advances in technology, insurers must have the capacity to use their data efficiently and effectively. Data silos create significant barriers to cloud transformation. CDC eliminates silos and opens the door to data-driven innovation.

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phData

SEPTEMBER 15, 2023

Salesforce Sync Out is a crucial tool that enables businesses to transfer data from their Salesforce platform to external systems like Snowflake, AWS S3, and Azure ADLS. The Salesforce Sync Out connector moves Salesforce data directly into Snowflake, simplifying the data pipeline and reducing latency.

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Precisely

MARCH 4, 2024

To achieve trusted AI outcomes, you need to ground your approach in three crucial considerations related to data’s completeness, quality, and context. You need to break down data silos and integrate critical data from all relevant sources. Fuel your AI applications with trusted data to power reliable results.

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AWS Machine Learning Blog

NOVEMBER 1, 2024

AWS can play a key role in enabling fast implementation of these decentralized clinical trials. By exploring these AWS powered alternatives, we aim to demonstrate how organizations can drive progress towards more environmentally friendly clinical research practices.

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phData

MARCH 26, 2024

However, it is now available in public preview in specific AWS regions, excluding trial accounts. The real benefit of utilizing Hybrid tables is that they bring transactional and analytical data together in a single platform. Hybrid tables can streamline data pipelines, reduce costs, and unlock deeper insights from data.

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Alation

APRIL 7, 2021

Powered by the industry’s broadest and deepest connectivity, the Alation Data Catalog supports data intelligence use cases across an organization’s de facto hybrid cloud environments. Alation Cloud Service is available on AWS. This ensures the catalog remains as a mission-critical foundation for data intelligence in the cloud.

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phData

FEBRUARY 13, 2024

SNP Glue is an SAP-certified connector that seamlessly bridges the gap between your SAP systems and various cloud platforms like Azure, AWS, and Snowflake. Example Solution Here is a high-level overview of how the solution works.

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IBM Journey to AI blog

FEBRUARY 2, 2023

This functionality provides access to data by storing it in an open format, increasing flexibility for data exploration and ML modeling used by data scientists, facilitating governed data use of unstructured data, improving collaboration, and reducing data silos with simplified data lake integration.

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ODSC - Open Data Science

JUNE 7, 2023

And with the ability to handle high workloads, users can run high-powered analyses and store data at any size while bringing out the greatest value of a business’s data asset. Snowflake Snowflake is a cross-cloud platform that looks to break down data silos.

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Pickl AI

APRIL 24, 2023

Example: AWS public cloud. Meta, Target and others that actively handle large volumes of data use this platform. Data is the most important asset for any organisation. And so losing the data can create problems as it hinders the process of collecting valuable insights.

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The MLOps Blog

MAY 17, 2023

These pipelines assist data scientists in saving time and effort by ensuring that the data is clean, properly formatted, and ready for use in machine learning tasks. Moreover, ETL pipelines play a crucial role in breaking down data silos and establishing a single source of truth.

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IBM Journey to AI blog

JANUARY 18, 2023

Instead, continuous data transformation is performed within the BLOB storage. This is an architecture that’s well suited for the cloud since AWS S3 or Azure DLS2 can provide the requisite storage. Data fabric: A mostly new architecture. The data fabric represents a new generation of data platform architecture.

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Alation

JUNE 7, 2023

So, ARC worked to make data more accessible across domains while capturing tribal knowledge in the data catalog; this reduced the subject-matter-expertise bottlenecks during product development and accelerated higher quality analysis. In addition to an AWS S3 Data Lake and Snowflake Data Cloud, ARC also chose Alation Data Catalog.

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Alation

JUNE 24, 2022

To support this initiative, the Travelers team created a Data Culture Map. This map shows how data culture and data literacy can transform an organization. Snowflake is key to this journey, as it brings all their data together into one landscape. Alation showed up – from the airport to the strip!

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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. Environments are the actual data infrastructure behind a project.

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phData

NOVEMBER 13, 2023

Enhanced Collaboration: dbt Mesh fosters a collaborative environment by using cross-project references, making it easy for teams to share, reference, and build upon each other’s work, eliminating the risk of data silos. Figure 3: Multi-project lineage graph with dbt explorer. Source: Dave Connor's Loom.

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AWS Machine Learning Blog

MARCH 15, 2024

This approach can help heart stroke patients, doctors, and researchers with faster diagnosis, enriched decision-making, and more informed, inclusive research work on stroke-related health issues, using a cloud-native approach with AWS services for lightweight lift and straightforward adoption. Stroke victims can lose around 1.9

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Flipboard

DECEMBER 4, 2024

Currently, organizations often create custom solutions to connect these systems, but they want a more unified approach that them to choose the best tools while providing a streamlined experience for their data teams. You can use Amazon SageMaker Lakehouse to achieve unified access to data in both data warehouses and data lakes.

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