CIO Business Intelligence

JULY 26, 2023

But in reality, some of the largest, most established realty franchises, such as Re/Max and Keller Williams, have made all the right moves, pursuing digital transformations built on the cloud and primed to make the most of emerging AI opportunities.

Data Lake 96

Data Lake Digital Transformation Machine Learning Data Architecture 96

Cloudera

JANUARY 30, 2024

With the ability of manufacturers to store a huge volume of historical data, AI can be applied in general business areas of any industry, like developing recommendations for marketing, supply chain optimization, and new product development. Advanced technologies are only part of the digital transformation story.

Manufacturing 83

Manufacturing Contextual Data IoT Digital Transformation 83

erwin

OCTOBER 16, 2020

It’s certainly no secret that data has been growing in volume, variety and velocity, and most companies are overwhelmed by managing it, let alone harnessing it to put it to work. quintillion bytes of data every day, and 90% of the world’s data volume has been created in the past two years alone. Where is the data?

Internet of Things 145

Internet of Things Data-driven Uncertainty Data Governance 145

CIO Business Intelligence

JUNE 16, 2022

By George Trujillo, Principal Data Strategist, DataStax. Any enterprise data management strategy has to begin with addressing the 800-pound gorilla in the corner: the “innovation gap” that exists between IT and business teams. This scarcity of quality data might feel akin to dying of thirst in the middle of the ocean.

IT 125

IT Experimentation IoT Data-driven 125

CIO Business Intelligence

APRIL 29, 2022

Launching a data-first transformation means more than simply putting new hardware, software, and services into operation. True transformation can emerge only when an organization learns how to optimally acquire and act on data and use that data to architect new processes. Key features of data-first leaders.

Digital Transformation 118

Digital Transformation Strategy Data-driven Data Strategy 118

Cloudera

JANUARY 5, 2023

In the past year, businesses who doubled down on digital transformation during the pandemic saw their efforts coming to fruition in the form of cost savings and more streamlined data management. 1- Treating data as a strategic business asset . 2- Operationalizing adaptive AI systems for quicker business decision-making.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

IBM Big Data Hub

JUNE 23, 2023

To accelerate speed-to-market, grow the business with new innovative products and services, gain new and deeper risk insights, and improve customer experience, most companies are also emphasizing digital transformation. We are assisting several prominent companies in every geography on their core modernization journey.

Insurance 56

Insurance Cost-Benefit Digital Transformation Marketing 56

CIO Business Intelligence

MAY 1, 2023

The focus of our discussions was on promoting and enabling digitally driven outcomes and quicker business decisions. While the organization wants access to more data, more frequently, there are challenges with exposing all data without the proper business cases. How much data does technology expose to the business?

Consulting 52

Consulting Data Governance ROI Digital Transformation 52

Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis. .

Data Processing 89

Data Processing IoT Cost-Benefit Digital Transformation 89

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour. Where does it stand today?

Analytics 99

Analytics IoT Cost-Benefit Big Data 99

Ontotext

DECEMBER 1, 2023

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Consulting Enterprise 78

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Cloudera

AUGUST 28, 2018

Drum roll… Starting from well over 100 nominations, we are excited to announce the finalists for this year’s Data Impact Awards ! Two weeks from today we will announce the winners at the Data Impact Awards Celebration on Tuesday, 11th September the week of Strata Data 2018 , New York. ” – Cornelia Levy-Bencheton.

Digital Transformation 67

Digital Transformation Machine Learning Consulting IoT 67

Cloudera

OCTOBER 19, 2023

Telecommunications companies are currently executing on ambitious digital transformation, network transformation, and AI-driven automation efforts. The Opportunity of 5G For telcos, the shift to 5G poses a set of related challenges and opportunities.

Data-driven 79

Data-driven Data Architecture Predictive Modeling Digital Transformation 79

Cloudera

FEBRUARY 7, 2019

A key pillar in the transformation journey is focused on robust data operations that can help ATB deliver timely, relevant and delightful service. The company sought a data management platform that would allow its enterprise to handle greater data variety, velocity and volume in a cost-effective manner.

Big Data 68

Big Data Data Analytics Analytics Data Architecture 68

AWS Big Data

APRIL 26, 2023

Business intelligence tools by their nature use a paradigm of UI driven development with code-first practices being secondary or nonexistent. In addition, these product dashboards may be forked for customer-specific customization to support a consulting engagement while still consuming from Huron’s productized data assets and datasets.

Metadata 52

Metadata Dashboards Visualization Consulting 52

CIO Business Intelligence

APRIL 25, 2022

Because NPD is a data company and Person oversees data architecture, “I own the factory,” he says. “So A lot of the work we’re doing now in AI and machine learning was really driven by those meetings with those individuals.”. So I thought it was extra-important that I understood how it actually worked.”. Embedded IT.

IT 111

IT Insurance Cost-Benefit Reporting 111

IBM Big Data Hub

JANUARY 17, 2023

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. Furthermore, a global effort to create new data privacy laws, and the increased attention on biases in AI models, has resulted in convoluted business processes for getting data to users. Data governance.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

Anmut

MARCH 24, 2022

A closer look at the importance (and transformational value) of your organisation’s data landscape. After decades in the background, data is currently king of the business world. Over 70% of digital transformations fail, and most CDOs last less than two-and-half years. What is a data landscape?

ROI 52

ROI Measurement Data-driven Data Transformation 52

IBM Big Data Hub

DECEMBER 1, 2023

IBM’s work with insurance clients, along with studies by IBM’s Institute of Business Value (IBV), show that insurer management decisions are driven by digital orchestration, core productivity and the need for flexible infrastructure. The supervised learning that is used to train AI requires a lot of human effort.

Insurance 98

Insurance Digital Transformation Unstructured Data Risk 98

Cloudera

NOVEMBER 18, 2020

During the first-ever virtual broadcast of our annual Data Impact Awards (DIA) ceremony, we had the great pleasure of announcing this year’s finalists and winners. In fact, each of the 29 finalists represented organizations running cutting-edge use cases that showcase a winning enterprise data cloud strategy. Data Champions .

Internet Publishing and Broadcasting 124

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 124

Sisense

JULY 6, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. Employing Enterprise Data Management (EDM).

Enterprise 98

Enterprise Management Data Architecture Strategy 98

Ontotext

FEBRUARY 26, 2024

However, it still requires more effort than building a single-purpose graph, like a labeled property graph (LPG), where you can whiteboard your graph model in an hour. The goal: a data-driven organization Let’s zoom out for a bit. Every organization wants to be data-driven. And this includes the AI space.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

erwin

DECEMBER 6, 2019

In the data-driven era, CIO’s need a solid understanding of data governance 2.0 … Data governance (DG) is no longer about just compliance or relegated to the confines of IT. Today, data governance needs to be a ubiquitous part of your organization’s culture. Creating a Culture of Data Governance.

Data Governance 145

Data Governance Metadata Enterprise Data-driven 145

AWS Big Data

NOVEMBER 15, 2023

It seamlessly consolidates data from various data sources within AWS, including AWS Cost Explorer (and forecasting with Cost Explorer ), AWS Trusted Advisor , and AWS Compute Optimizer. Overview of the BMW Cloud Data Hub At the BMW Group, Cloud Data Hub (CDH) is the central platform for managing company-wide data and data solutions.

Dashboards 96

Dashboards Analytics Metadata Data Warehouse 96

CIO Business Intelligence

NOVEMBER 7, 2023

For years, IT and business leaders have been talking about breaking down the data silos that exist within their organizations. Given the importance of sharing information among diverse disciplines in the era of digital transformation, this concept is arguably as important as ever. What are the challenges and potential rewards?

Data Warehouse 140

Data Warehouse Digital Transformation Data-driven Reporting 140

IBM Big Data Hub

AUGUST 15, 2023

To overcome these challenges will require a shift in many of the processes and models that businesses use today: changes in IT architecture, data management and culture. A common phrase you’ll hear around AI is that artificial intelligence is only as good as the data foundation that shapes it.

IT 75

IT Data Governance Modeling Cost-Benefit 75

IBM Big Data Hub

AUGUST 4, 2023

Data democratization, much like the term digital transformation five years ago, has become a popular buzzword throughout organizations, from IT departments to the C-suite. It’s often described as a way to simply increase data access, but the transition is about far more than that. What is data democratization?

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

CIO Business Intelligence

APRIL 25, 2022

By George Trujillo, Principal Data Strategist, DataStax. Similarly, many organizations have built data architectures to remain competitive, but have instead ended up with a complex web of disparate systems which may be slowing them down. The challenge of data silos. Aligning data. Think about your favorite recipe.

Data Architecture 96

Data Architecture Digital Transformation Data-driven Strategy 96

CIO Business Intelligence

AUGUST 3, 2023

When global technology company Lenovo started utilizing data analytics, they helped identify a new market niche for its gaming laptops, and powered remote diagnostics so their customers got the most from their servers and other devices.

Analytics 93

Analytics Data Lake Metadata Cost-Benefit 93

AWS Big Data

DECEMBER 21, 2023

This is a guest post co-written by Alex Naumov, Principal Data Architect at smava. Based on digital processes, smava compares loan offers from more than 20 banks. In this way, borrowers can choose the deals that are most favorable to them in a fast, digitalized, and efficient way.

Data Lake 90

Data Lake Data Warehouse Data-driven B2B 90

IBM Big Data Hub

JUNE 8, 2023

Data is the lifeblood of successful organizations. Beyond the traditional data roles—data engineers, analysts, architects—decision-makers across an organization need flexible, self-service access to data-driven insights accelerated by artificial intelligence (AI). But most businesses are behind.

Business Intelligence 63

Business Intelligence Enterprise Dashboards Digital Transformation 63