erwin

MAY 31, 2019

It’s time to consider data-driven enterprise architecture. The traditional approach to enterprise architecture – the analysis, design, planning and implementation of IT capabilities for the successful execution of enterprise strategy – seems to be missing something … data. That’s right.

Data-driven 104

Data-driven Enterprise Metadata Strategy 104

CIO Business Intelligence

MAY 10, 2023

When I joined, there was a lot of silo data everywhere throughout the organization, and everyone was doing their own reporting. It was also a lot of churning for the different groups to come up with those data on the weekly, monthly and quarterly basis.” But where to begin? “We That’s the first level of a cultural shift.

Data-driven 120

Data-driven IT Digital Transformation Data Governance 120

CIO Business Intelligence

MAY 17, 2023

The big picture : In the midst of a rush to technology modernization, it’s critical to ensure the organization’s data assets are not overlooked. Why it matters:  Data-driven business decisions must factor prominently in modernization efforts. The bottom line:  Don’t leave data behind.

Data-driven 110

Data-driven Strategy IT Insurance 110

IBM Big Data Hub

FEBRUARY 12, 2024

And thanks to online metrics, specific customer feedback, and data analytics, these retailers had more information about their customers than ever before. The next wave of technology driven CX We’re entering a new age of customer experience driven by digital transformation.

Data-driven 102

Data-driven Manufacturing Consulting Advertising 102

O'Reilly on Data

MARCH 27, 2019

Amy O'Connor explains how Cloudera applies an "edge to AI" approach to collect, process, and analyze data. Continue reading The journey to the data-driven enterprise from the edge to AI.

Data-driven 104

Data-driven Enterprise 104

IBM Big Data Hub

JUNE 8, 2022

Implementing the right data strategy spurs innovation and outstanding business outcomes by recognizing data as a critical asset that provides insights for better and more informed decision-making. By taking advantage of data, enterprises can shape business decisions, minimize risk for stakeholders, and gain competitive advantage.

Data-driven 58

Data-driven Enterprise Data Governance Data Lake 58

Smart Data Collective

APRIL 28, 2021

Below, we’ll take a look at four industries that were major mobile app early-adopters, and we’ll see how they’re reaping the benefits of data-driven app development. What are data-driven apps? First, it’s important to understand what a data-driven app actually is. 4) (2) (5). Final Thoughts. References.

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Data-driven Advertising Big Data Marketing 133

IBM Big Data Hub

FEBRUARY 23, 2024

Enterprises can use NLU to offer personalized experiences for their users at scale and meet customer needs without human intervention. DL models can improve over time through further training and exposure to more data. Several natural language subprocesses within NLP work collaboratively to create conversational AI.

Enterprise 104

Enterprise Interactive Data-driven Key Performance Indicator 104

CIO Business Intelligence

OCTOBER 25, 2023

From IT, to finance, marketing, engineering, and more, AI advances are causing enterprises to re-evaluate their traditional approaches to unlock the transformative potential of AI. What can enterprises learn from these trends, and what future enterprise developments can we expect around generative AI?

Enterprise 133

Enterprise Risk Manufacturing Finance 133

erwin

JULY 22, 2020

Fostering organizational support for a data-driven culture might require a change in the organization’s culture. Recently, I co-hosted a webinar with our client E.ON , a global energy company that reinvented how it conducts business from branding to customer engagement – with data as the conduit. As an example, E.ON

Data-driven 136

Data-driven Data Governance Digital Transformation Enterprise 136

IBM Big Data Hub

FEBRUARY 13, 2024

Demystifying generative AI At the heart of Generative AI lie massive databases of texts, images, code and other data types. This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Imagine each data point as a glowing orb placed on a vast, multi-dimensional landscape.

Enterprise 124

Enterprise Modeling Testing Data-driven 124

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

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Data Quality Metrics Data-driven Management 241

O'Reilly on Data

APRIL 19, 2021

During the first weeks of February, we asked recipients of our Data & AI Newsletter to participate in a survey on AI adoption in the enterprise. The second-most significant barrier was the availability of quality data. Relatively few respondents are using version control for data and models. Respondents.

Enterprise 356

Enterprise Modeling Risk Manufacturing 356

Cloudera

FEBRUARY 23, 2022

In addition to that, the march of network virtualisation combined with the cloudification of IT have driven further changes in operations. Their processes are ‘data driven’, their networks are trending towards automation, and AI systems are powering customer engagement in store , online and at home. Or are they the same thing?

Data-driven 90

Data-driven Advertising IoT Digital Transformation 90

CIO Business Intelligence

APRIL 24, 2024

Microsoft is opening another route for extending the reach of its Copilot offerings in the enterprise through an expanded partnership with global professional services company Cognizant. It means they can now leverage AI technology to enhance operational efficiency, reduce manual work, and innovate at scale,” he said.

Enterprise 78

Enterprise Digital Transformation Consulting Risk 78

Cloudera

JUNE 13, 2023

Data and analytics are the essential engines in this strategy which entails upgrading the bank’s core banking technology to deliver reliable, efficient, and secure services for their customers while safeguarding critical data.

Data-driven 77

Data-driven Analytics Insurance Digital Transformation 77

CIO Business Intelligence

JANUARY 9, 2024

That quote aptly describes what Dell Technologies and Intel are doing to help our enterprise customers quickly, effectively, and securely deploy generative AI and large language models (LLMs).Many Here’s a quick read about how enterprises put generative AI to work). These are notable investments of time, data, and money.

Enterprise 119

Enterprise Experimentation Modeling Data-driven 119

DataCamp

DECEMBER 3, 2020

One reason for the success of tech companies like Netflix and Airbnb: They’ve grown up with data. Here’s how to rebuild your company around data. Not in tech?

Data-driven 120

Data-driven Enterprise 120

Smart Data Collective

APRIL 24, 2023

Big data has led to some huge changes in the way we live. John Deighton is a leading expert on big data technology. His research focuses on the importance of data in the online world. Innovations in the early 20th century changed how data could be used. Deighton studies how this evolution came to be.

Data-driven 93

Data-driven Software Big Data Data Governance 93

erwin

NOVEMBER 28, 2019

Enterprise architecture tools are becoming more important than ever. The International Enterprise Architecture Institute (IEAI) defines enterprise architecture (EA) as “the analysis and documentation of an enterprise in its current and future states from an integrated strategy, business and technology perspective.”.

Enterprise 145

Enterprise Data-driven Data Governance Digital Transformation 145

CIO Business Intelligence

JANUARY 11, 2024

CIOs are under increasing pressure to deliver AI across their enterprises – a new reality that, despite the hype, requires pragmatic approaches to testing, deploying, and managing the technologies responsibly to help their organizations work faster and smarter. The top brass is paying close attention.

Enterprise 128

Enterprise Uncertainty Risk Management Reporting 128

Smart Data Collective

SEPTEMBER 8, 2021

More and more businesses and organizations treat data as an essential asset. The importance of managing and leveraging data cannot be overestimated. The problem is that data can easily take enormous proportions. Thus, finding and isolating relevant data is a daunting task. AI-Powered Tools Can Speed Up Data Analytics.

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Data-driven Data Analytics Analytics Marketing 127

CIO Business Intelligence

OCTOBER 16, 2023

But getting control of cloud spending can be a persistent challenge for an enterprise focused on making the most of its technology investment. But more organizations are using multiple cloud environments, which can make it difficult to track and align cost and performance insights across an enterprise. in 2023, to $591.8

Optimization 140

Optimization Enterprise Finance Data Processing 140

CIO Business Intelligence

OCTOBER 23, 2023

As a global technology company with decades of sustainability leadership , Dell Technologies has a strong point of view informed by data and science, and we’re working with others to chart the path forward. We believe that data analysis and collaboration are key to climate action. To improve, we must be able to measure.

Data-driven 124

Data-driven Manufacturing Measurement Digital Transformation 124

Smart Data Collective

AUGUST 18, 2021

Big data has radically changed the accounting profession. They are also using more advanced data analytics tools to make more meaningful insights into the nature of their clients’ financial matters. The lease accounting profession has been particularly influenced by advances in big data. Image source: Trullion.

Data-driven 118

Data-driven Software Big Data Visualization 118

CIO Business Intelligence

MAY 9, 2023

In today’s data-driven world, many organizations face major hurdles as they navigate a transformation journey that eliminates silos, unifies data, and transforms it into value. Top-quartile enterprise intelligence performers are 2.7 Top-quartile enterprise intelligence performers are 2.7

Data-driven 59

Data-driven Enterprise Strategy Marketing 59

CIO Business Intelligence

JANUARY 18, 2024

It’s a frustrating situation facing many organizations that are far along their “digital transformation” journeys: they want and need more and more connected devices to optimize operations and enable data-driven decision-making, but they operate in environments where it’s too hard to scale traditional Wi-fi and wired connectivity.

Enterprise 98

Enterprise Business Objectives IT Digital Transformation 98

CIO Business Intelligence

OCTOBER 7, 2022

It’s time to discard legacy processes and reinvent IT procurement with a new approach that leverages the power of data-driven insights. They typically do so without access to data — which can lead to slowed performance due to under-provisioning, or oversubscribed VMs if they choose an oversized template.

Data-driven 98

Data-driven IT Digital Transformation ROI 98

erwin

AUGUST 13, 2020

For enterprise architecture, success is often contingent on having clearly defined business goals. This is especially true in modern enterprise architecture, where value-adding initiatives are favoured over strictly “foundational,” “keeping the lights on,” type duties. big data, analytics and insights)?

Enterprise 143

Enterprise Cost-Benefit Uncertainty ROI 143

erwin

NOVEMBER 13, 2020

The business challenges facing organizations today emphasize the value of enterprise architecture (EA) , so the future of EA is closer than you think. See also: What Is Enterprise Architecture? . Data Security & Risk Management. Data Center Consolidation. Data Governance (knowing what data you have and where it is).

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

CIO Business Intelligence

SEPTEMBER 19, 2023

And with the rise of generative AI, artificial intelligence use cases in the enterprise will only expand. Airbnb is one company using AI to optimize pricing on AWS, utilizing AI to manage capacity, to build custom cost and usage data tools, and to optimize storage and computing capacity.

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

erwin

JANUARY 17, 2020

What is Data Modeling? Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise.

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Data-driven Modeling Metadata Data Governance 138

Dataiku

OCTOBER 23, 2023

In the age of data-driven decision making, the familiar spreadsheet has been the trusty companion of many business leaders for decades. A staggering 52% of business leaders rely on spreadsheets as their primary data tool, so it’s time to shed light on why spreadsheets are not scalable for analytics and AI in the enterprise.

Enterprise 64

Enterprise Data-driven Analytics 64

Smart Data Collective

SEPTEMBER 6, 2020

Big data tools are incredibly important for the survival of modern businesses. The best companies tend to invest in the highest quality big data technology to gain a competitive advantage in their market. However, the quality of the data-driven tools that they utilize plays a huge part in establishing their competitive advantages.

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Data-driven Big Data Software Technology 97

erwin

JULY 9, 2020

Enterprise architecture plays a key role in the modern enterprise, so the average enterprise architect salary reflects the demand. In this post: Average Salary for an Enterprise Architect. What Does an Enterprise Architect Do? Enterprise Architect Salary Expectations. What Does an Enterprise Architect Do?

Enterprise 145

Enterprise Data Architecture Data-driven Digital Transformation 145

erwin

SEPTEMBER 3, 2020

Why should you integrate data governance (DG) and enterprise architecture (EA)? Two of the biggest challenges in creating a successful enterprise architecture initiative are: collecting accurate information on application ecosystems and maintaining the information as application ecosystems change.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144