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. Why is Data Integration a Challenge for Enterprises?

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Data Integration Machine Learning Big Data Statistics 133

CIO Business Intelligence

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

Data Integration 102

Data Integration IoT Cost-Benefit Machine Learning 102

CIO Business Intelligence

OCTOBER 20, 2023

IT teams hold a lot of innovation power, as effective use of emerging technologies is crucial for informed decision-making and is key to staying a beat ahead of the competition. But adopting modern-day, cutting-edge technology is only as good as the data that feeds it.

Data Integration 130

Data Integration Management Testing Cost-Benefit 130

Smart Data Collective

SEPTEMBER 4, 2023

With the rapid advancement of technology, businesses have streamlined many of their operations to ensure speed and efficiency. It’s a system that utilizes technology to convert, store, manage, and track documents without human intervention. But just like any other technology, it presents challenges—one of which is security.

Data Integration 122

Data Integration Cost-Benefit Consulting Software 122

AWS Big Data

APRIL 30, 2024

Today, we’re excited to announce general availability of Amazon Q data integration in AWS Glue. Amazon Q data integration, a new generative AI-powered capability of Amazon Q Developer , enables you to build data integration pipelines using natural language.

Data Integration 128

Data Integration Data Lake Data Warehouse Software 128

CIO Business Intelligence

MARCH 19, 2025

Taking inventory of the data landscape helps when planning future modernizations or technology changes. The next step is to map all dependencies between the companys applications and data. The steps described here can take months or even years to execute depending on the data needs of the business in question.

Data Integration 52

Data Integration Data Quality Visualization Risk 52

Jet Global

DECEMBER 5, 2024

New drivers simplify Workday data integration for enhanced analytics and reporting RALEIGH, N.C. – The Simba Workday drivers provide secure access to Workday data for analytics, ETL (extract, transform, load) processes, and custom application development using both ODBC and JDBC technologies.

Data Integration 52

Data Integration Finance Data-driven Reporting 52

CIO Business Intelligence

APRIL 30, 2025

AI agents are valuable across sales, service, marketing, IT, HR, and really all business teams, says Andy White, SVP of business technology at Salesforce. And around 45% also cite data governance and compliance concerns. Currently, its easy to overpromise while the technology is still developing.

IT 130

IT Sales Cost-Benefit Data-driven 130

David Menninger's Analyst Perspectives

NOVEMBER 16, 2021

Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management.

Management 324

Management Data Warehouse Data Quality Data Integration 324

CIO Business Intelligence

DECEMBER 20, 2024

On the other hand, DMBOK 2 defines data modeling as, the process of discovering, analyzing, representing, and communicating data requirements in a precise form called the data model. Data modeling takes a more focused view of specific systems or business cases. Data integrity. Scalable data pipelines.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

CIO Business Intelligence

MARCH 20, 2025

Korean customers are actively asking questions about how AI can support their business, grow their business, and utilize new technologies. The products that Klein particularly emphasized at this roundtable were SAP Business Data Cloud and Joule. SAP has established a partnership with Databricks for third-party data integration.

Data Integration 108

Data Integration Finance Software Technology 108

O'Reilly on Data

FEBRUARY 4, 2019

How companies in Europe are preparing for and adopting AI and ML technologies. In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. Data Platforms. Data Integration and Data Pipelines.

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Machine Learning Enterprise IoT Big Data 279

CIO Business Intelligence

NOVEMBER 18, 2024

Even beyond customer contact, bankers see generative AI as a key transformative technology for their company. According to the study, the biggest focus in the next three years will be on AI-supported data analysis, followed by the use of gen AI for internal use.

Digital Transformation 141

Digital Transformation Consulting Cost-Benefit Marketing 141

Smart Data Collective

OCTOBER 26, 2023

AI technology is helping with cybersecurity in a myriad of ways. The proliferation of cybersecurity firms reflects the increasing sophistication of cyber threats in today’s technology-driven society. As the IoT and cloud security continues to grow, it is essential to stay educated on the latest technology developments.

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CIO Business Intelligence

FEBRUARY 26, 2025

Agentic AI was the big breakthrough technology for gen AI last year, and this year, enterprises will deploy these systems at scale. The problem is that, before AI agents can be integrated into a companys infrastructure, that infrastructure must be brought up to modern standards. Infrastructure modernization In December, Tray.ai

IT 141

IT Enterprise Interactive Data Quality 141

David Menninger's Analyst Perspectives

DECEMBER 31, 2024

This shift not only reduces the chances of human error but also elevates the quality of outputs across various departments, which reflects a broader trend of harnessing technology to drive meaningful transformation in the workplace. Such investments position enterprises to respond more effectively to market changes and customer demands.

Cost-Benefit 130

Cost-Benefit Data-driven Enterprise Business Objectives 130

CIO Business Intelligence

APRIL 25, 2024

At Salesforce World Tour NYC today, Salesforce unveiled a new global ecosystem of technology and solution providers geared to help its customers leverage third-party data via secure, bidirectional zero-copy integrations with Salesforce Data Cloud.

Data Integration 119

Data Integration Data Lake Data Warehouse Metadata 119

CIO Business Intelligence

OCTOBER 24, 2024

Noting that companies pursued bold experiments in 2024 driven by generative AI and other emerging technologies, the research and advisory firm predicts a pivot to realizing value. Forrester said most technology executives expect their IT budgets to increase in 2025. Others won’t — and will come up against the limits of quick fixes.”

ROI 127

ROI Data-driven Enterprise Experimentation 127

O'Reilly on Data

OCTOBER 11, 2022

They are all likely to exist in some kind of silo that’s difficult to access from the outside the group that created the silo–and the reason for that difficulty may be political as well as technological. So from the start, we have a data integration problem compounded with a compliance problem.

Data Integration 353

Data Integration Insurance Dashboards Data-driven 353

O'Reilly on Data

JANUARY 29, 2019

In 2018, we decided to run a follow-up survey to determine whether companies’ machine learning (ML) and AI initiatives are sustainable—the results of which are in our recently published report, “ Evolving Data Infrastructure.”.

Deep Learning 271

Deep Learning Machine Learning Data Science Metadata 271

CIO Business Intelligence

MARCH 16, 2022

But even before the pandemic hit, Dubai-based Aster DM Healthcare was deploying emerging technology — for example, implementing a software-defined network at its Aster Hospitals UAE infrastructure to help manage IoT-connected healthcare devices. The same goes for the adoption of data warehouse and business intelligence.

Technology 115

Technology Digital Transformation Data Warehouse Business Intelligence 115

CIO Business Intelligence

DECEMBER 10, 2024

The sheer number of options and configurations, not to mention the costs associated with these underlying technologies, is multiplying so quickly that its creating some very real challenges for businesses that have been investing heavily to incorporate AI-powered capabilities into their workflows.

Modeling 116

Modeling Insurance Unstructured Data Experimentation 116

O'Reilly on Data

JUNE 18, 2019

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. “AI AI starts with ‘good’ data” is a statement that receives wide agreement from data scientists, analysts, and business owners. The problem is even more magnified in the case of structured enterprise data.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

CIO Business Intelligence

APRIL 8, 2025

Data is the foundation of innovation, agility and competitive advantage in todays digital economy. As technology and business leaders, your strategic initiatives, from AI-powered decision-making to predictive insights and personalized experiences, are all fueled by data. Data quality is no longer a back-office concern.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

CIO Business Intelligence

NOVEMBER 19, 2024

The challenges of integrating data with AI workflows When I speak with our customers, the challenges they talk about involve integrating their data and their enterprise AI workflows. Imagine that you’re a data engineer. Seamless data integration.

Management 116

Management Unstructured Data Deep Learning Metadata 116

David Menninger's Analyst Perspectives

NOVEMBER 19, 2024

This has increased the focus on data observability software providers such as Bigeye and the role they play in ensuring that data meets quality and reliability requirements.  Bigeye was founded in late 2018 by Chief Executive Officer Kyle Kirwan and Chief Technology Officer Egor Gryaznov.

Data Quality 130

Data Quality Dashboards Data-driven Machine Learning 130

AWS Big Data

JANUARY 15, 2025

With the addition of these technologies alongside existing systems like terminal operating systems (TOS) and SAP, the number of data producers has grown substantially. However, much of this data remains siloed and making it accessible for different purposes and other departments remains complex. She can reached via LinkedIn.

IoT 111

IoT Machine Learning Metadata Data-driven 111

David Menninger's Analyst Perspectives

OCTOBER 7, 2021

The technology industry throws around a lot of similar terms with different meanings as well as entirely different terms with similar meanings. In this post, I don’t want to debate the meanings and origins of different terms; rather, I’d like to highlight a technology weapon that you should have in your data management arsenal.

Technology 246

Technology Management Data Lake IT 246

DataKitchen

APRIL 28, 2021

Gartner included data fabrics in their top ten trends for data and analytics in 2019. From an industry perspective, the topic of data fabrics is on fire. What is a Data Fabric? Whenever a new technology or architecture gains momentum, vendors hijack it for their own marketing purposes.

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Statistics Optimization Data Analytics Technology 246

DataKitchen

APRIL 13, 2021

Piperr.io — Pre-built data pipelines across enterprise stakeholders, from IT to analytics, tech, data science and LoBs. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Genie — Distributed big data orchestration service by Netflix.

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Testing Machine Learning Consulting Data Science 300

AWS Big Data

MARCH 13, 2025

However, what you need is the flexibility to adopt the best services for your use case while empowering your data teams with a unified development experience. When we build data-driven applications for our customers, we want a unified platform where the technologies work together in an integrated way.

Analytics 112

Analytics Data Lake Data Warehouse Data-driven 112

AWS Big Data

NOVEMBER 29, 2024

By using the AWS Glue OData connector for SAP, you can work seamlessly with your data on AWS Glue and Apache Spark in a distributed fashion for efficient processing. AWS Glue OData connector for SAP uses the SAP ODP framework and OData protocol for data extraction.

Visualization 105

Visualization Data Processing Data-driven Cost-Benefit 105

AWS Big Data

DECEMBER 4, 2024

From the Unified Studio, you can collaborate and build faster using familiar AWS tools for model development, generative AI, data processing, and SQL analytics. This experience includes visual ETL, a new visual interface that makes it simple for data engineers to author, run, and monitor extract, transform, load (ETL) data integration flow.

Visualization 118

Visualization Sales Data-driven Analytics 118

Data Virtualization

APRIL 10, 2025

Citizens expect efficient services, The post Empowering the Public Sector with Data: A New Model for a Modern Age appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. In this dynamic environment, time is everything.

Modeling 75

Modeling Data Integration Management Data Architecture 75

Data Virtualization

OCTOBER 31, 2024

Reading Time: 2 minutes When making decisions that are critical to national security, governments rely on data, and those that leverage the cutting edge technology of generative AI foundation models will have a distinct advantage over their adversaries. Pros and Cons of generative AI.

Management 52

Management Modeling Data Integration Technology 52

Data Virtualization

DECEMBER 20, 2024

Reading Time: 3 minutes Gartner Hype Cycle provides a graphic representation of the maturity and adoption of technologies and applications, and how they are potentially relevant to solving real business problems and exploiting new opportunities. Gartner Hype Cycle methodology provides a view of how.

Management 52

Management Data Integration Technology Data Architecture 52

CIO Business Intelligence

OCTOBER 9, 2024

As the technology subsists on data, customer trust and their confidential information are at stake—and enterprises cannot afford to overlook its pitfalls. Yet, it is the quality of the data that will determine how efficient and valuable GenAI initiatives will be for organizations.

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