CIO Business Intelligence

OCTOBER 1, 2022

The partners say they will create the future of digital manufacturing by leveraging the industrial internet of things (IIoT), digital twin , data, and AI to bring products to consumers faster and increase customer satisfaction, all while improving productivity and reducing costs.

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

CIO Business Intelligence

FEBRUARY 16, 2024

Developing a data-led strategy The first, and most critical step in the process is accessing, integrating, and curating the underlying data that will be used to train and power AI models. This is a challenge for many CIOs.

Strategy 132

Strategy Insurance Digital Transformation Enterprise 132

CIO Business Intelligence

APRIL 5, 2023

Before organizations map an architectural approach to data, the first thing that they should understand is data intelligence. Phil Perkins, the co-author of The Day Before Digital Transformation , will discuss the most effective applications of AI being used today and what to expect next. Another top trend is AI.

Strategy 87

Strategy Data Strategy Digital Transformation Data-driven 87

CIO Business Intelligence

MARCH 16, 2022

COVID was a catalyst for digital transformation in healthcare, possibly more than for any other industry. CIO Middle East: To what degree are hospitals in the UAE in a process of digital transformation – using IT to fundamentally change the way they work?

Technology 102

Technology Digital Transformation Business Intelligence Data Warehouse 102

IBM Big Data Hub

NOVEMBER 14, 2023

Innovating at scale is made possible with IBM Z modernization tools like Wazi Image Builder, Wazi Dev Spaces on OpenShift, CI/CD pipelines, z/OS Connect for APIs, zDIH for data integrations, and IBM Watson for generative AI. What are the benefits of Wazi as a service on IBM Cloud?

Digital Transformation 95

Digital Transformation Testing Interactive Software 95

IBM Big Data Hub

JANUARY 29, 2024

A digital transformation is an overhauled, digital-first approach to how a business is run. The digital world is evolving quickly with new products and digital technologies that require vigorous digital transformation initiatives. Why digital transformation?

Digital Transformation 67

Digital Transformation Consulting Internet of Things Recreation/Entertainment 67

CIO Business Intelligence

NOVEMBER 8, 2023

Every upgrade required long integration and test cycles. This was limiting the ability of Union Pacific to focus on new digital innovations, automation, and business model changes. It was creating silos of data which caused lack of reliable insight. Digital Transformation

Cost-Benefit 116

Cost-Benefit Digital Transformation Data-driven Finance 116

CIO Business Intelligence

NOVEMBER 21, 2023

Set parameters and emphasize collaboration To address one root cause of shadow IT, CIOs must also establish a governance and delivery model for evaluating, procuring, and implementing department technology solutions. There may be times when department-specific data needs and tools are required.

IT 134

IT Risk Cost-Benefit Risk Management 134

CIO Business Intelligence

FEBRUARY 16, 2023

Hence the drive to provide ML as a service to the Data & Tech team’s internal customers. All they would have to do is just build their model and run with it,” he says. That step, primarily undertaken by developers and data architects, established data governance and data integration.

Unstructured Data 103

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 103

CIO Business Intelligence

APRIL 29, 2022

Forward-thinking transformation leaders have realised that more focus needs to be placed on ‘data-centric value creation’ and have made this the pre-eminent organising principle in their organisations. Many organisations focus too heavily on fine tuning their computational models in their pursuit of ‘quick-wins.’ About Andrew P.

Data Governance 145

Data Governance IT Risk Data Lake 145

CDW Research Hub

JANUARY 28, 2022

Leverage cloud in the hybrid model. Storage solutions must be agile, and that’s why many organizations are adopting hybrid cloud solutions to accommodate changes in application and data growth. With a multi-cloud strategy, organizations get the flexibility to collect, segregate and store data whether it’s on- or off-premises.

Digital Transformation 86

Digital Transformation Data-driven IoT Optimization 86

erwin

JANUARY 30, 2020

Digital transformation and data standards/uniformity round out the top five data governance drivers, with 37 and 36 percent, respectively. Constructing a Digital Transformation Strategy: How Data Drives Digital. All of these factors have an impact on a well-defined data integration model.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

Jedox

SEPTEMBER 3, 2020

Many pre-crisis business assumptions and planning models became outmoded overnight. In response, there is a need to accelerate digital transformation for business survival. Taking learnings from this, CFOs must double down on digital transformation initiatives to improve the depth, accuracy, and speed of planning.

Uncertainty 81

Uncertainty Forecasting Digital Transformation Risk 81

FineReport

APRIL 9, 2024

These innovative solutions pave the way for future trends in healthcare, shaping the industry’s digital transformation journey. In addition to security concerns, achieving seamless healthcare data integration and interoperability presents its own set of challenges.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

erwin

OCTOBER 8, 2020

But even with the “need for speed” to market, new applications must be modeled and documented for compliance, transparency and stakeholder literacy. The metadata-driven suite automatically finds, models, ingests, catalogs and governs cloud data assets. More and more companies are looking at cloud migration.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

CIO Business Intelligence

JUNE 16, 2022

A real-time data technology stack has to shrink this innovation gap for the business. . Analysts and data scientists need flexibility when working with data; experimentation fuels the development of analytics and machine learning models. Digital transformation has actually contributed to this complexity.

IT 126

IT Experimentation IoT Data-driven 126

CIO Business Intelligence

MARCH 31, 2023

Because of the engineering requirements, most chipmakers work with electronic design automation (EDA) vendors such as Cadence Design Systems, Synopsys, and Siemens on-premises from start to finish — serving the final blueprints of the designs directly from the data center to the manufacturing partners and fabs. But that is changing.

Manufacturing 106

Manufacturing Digital Transformation Consulting Machine Learning 106

Ontotext

DECEMBER 1, 2023

So, KGF 2023 proved to be a breath of fresh air for anyone interested in topics like data mesh and data fabric , knowledge graphs, text analysis , large language model (LLM) integrations, retrieval augmented generation (RAG), chatbots, semantic data integration , and ontology building.

Metadata 78

Metadata Sales Consulting Enterprise 78

CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics? Data analytics includes the tools and techniques used to perform data analysis.

Data Analytics 132

Data Analytics Diagnostic Analytics Management Analytics 132

CIO Business Intelligence

JANUARY 5, 2024

From an organizational standpoint, we evolved to a nearshore model, attracting the necessary talent that new technologies required. With that, we adopted an onshore model and created a center of excellence in Madrid where we manage all operations and lead all implementation projects worldwide. How have you rebuilt all the IT talent?

IT 108

IT Finance Cost-Benefit Strategy 108

IBM Big Data Hub

JANUARY 10, 2024

Some example use cases to highlight: Confidential AI: leverage trustworthy AI and while ensuring the integrity of the models and confidentiality of data Organizations leveraging AI models often encounter challenges related to the privacy and security of the data used for training and the integrity of the AI models themselves.

Data Processing 71

Data Processing Risk Modeling Cost-Benefit 71

erwin

APRIL 27, 2022

Best Data Governance Solution (erwin Data Intelligence). Best Data Modeling Solution (erwin Data Modeler). Best Data Security Solution (Quest ApexSQL). Best Data Governance Solution (erwin Data Intelligence). Read more about erwin® Data Intelligence by Quest.

Data Governance 52

Data Governance Digital Transformation Metadata Data Warehouse 52

Andrew White

DECEMBER 4, 2019

This acquisition followed another with Mulesoft, a data integration vendor. I heard some interesting stuff: Historically firms had an inside-out view of their market, and this led to organizational silos, data silos etc. Digital transformation is more a customer first, or outside in view.

Digital Transformation 64

Digital Transformation Data Integration Data Quality Data Warehouse 64

IBM Big Data Hub

JANUARY 26, 2024

AI intelligent maintenance diagnosis : AI intelligent maintenance and diagnosis uses AI technology and intelligent diagnostic models to guide technicians in diagnosing faults in the form of questions and answers.

Cost-Benefit 72

Cost-Benefit Enterprise Technology KPI 72

Smarten

SEPTEMBER 29, 2023

With its unique governance model, the Client business can fully serve its vocation with a long-term vision and fulfil its commitment to therapeutic progress and to serving patient needs. The company has grown exponentially, first across France and then throughout the world, driven by the transformation of the business.

Analytics 67

Analytics Sales Operational Reporting Reporting 67

erwin

DECEMBER 12, 2019

Regulatory Compliance: Regulations such as GDPR, HIPAA, PII, BCBS and CCPA have data privacy and security mandates, so sensitive data needs to be tagged, its lineage documented, and its flows depicted for traceability. erwin Data Intelligence (erwin DI) combines data management and data governance processes in an automated flow.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

FineReport

JUNE 11, 2021

As companies striving to embrace digital transformation and become data-driven, business intelligence and analytics skills and experience are essential to building a data-savvy team. And do you know what the key to unlocking value from data is? Analytics and Business Intelligence Tools.

Business Intelligence 98

Business Intelligence Analytics Dashboards Statistics 98

DataRobot Blog

MARCH 15, 2022

The message we’ve heard from attendees, loud and clear, is that the COVID-19 pandemic has enabled organizations to rapidly accelerate digital transformation and that there’s a strong mandate to maintain momentum. Providers may also want to check out the NHS’s own digital transformation framework – What Good Looks Like.

Prescriptive Analytics 52

Prescriptive Analytics Digital Transformation Data-driven Machine Learning 52

Ontotext

APRIL 6, 2023

Knowledge graphs are changing the game A knowledge graph is a data model that uses semantics to represent real-world entities and the relationships between them. It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data. standards modeled in a knowledge graph!

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Business Over Broadway

MAY 22, 2019

Roadblocks for executives that prevent them from moving forward on their digital transformation initiatives: Roadblocks include poor culture, lack of skills, lack of funding, and, maybe, most importantly, no clear problem statement for why they are wanting/needing digital transformation. IoT Artificial Intelligence.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

Smart Data Collective

SEPTEMBER 13, 2021

Implementing big data solutions can help investment managers navigate value investing safely. In this article, we will show you the use of the tools and the top reasons to hire Django developers to help you with big data integration. Main Types of Big Data. You now know understand the different types of big data.

Big Data 107

Big Data Forecasting Cost-Benefit Machine Learning 107

Ontotext

JULY 13, 2023

Knowledge graphs have greatly helped to successfully enhance business-critical enterprise applications, especially those where high performance tagging and agile data integration is needed. The customer and employee experience when using an application is key for companies to have a real impact on their processes and results.

Enterprise 52

Enterprise Metadata Digital Transformation Software 52

Alation

FEBRUARY 13, 2020

IDC Innovators: Data Intelligence Software Platforms, 2019 Report. In the latest IDC Innovators: Data Intelligence Software Platforms, 2019 3 report, Alation was profiled as one vendor disrupting the data integration and integrity software market with a differentiated data intelligence software platform.

Machine Learning 52

Machine Learning Big Data Data Governance Digital Transformation 52

erwin

DECEMBER 12, 2019

Regulatory Compliance: Regulations such as GDPR, HIPAA, PII, BCBS and CCPA have data privacy and security mandates, so sensitive data needs to be tagged, its lineage documented, and its flows depicted for traceability. erwin Data Intelligence (erwin DI) combines data management and data governance processes in an automated flow.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

BizAcuity

MAY 24, 2022

We had a look at the way in which cloud computing transformed itself through some astonishing innovations in the past decade. Cloud is now the backbone of digital transformation. AWS, one whose empire rules the cloud markets has an excellent cloud framework that covers the A-Z of digital transformation along with case studies.

Data-driven 52

Data-driven Cost-Benefit Digital Transformation Strategy 52

FineReport

JUNE 11, 2021

As companies striving to embrace digital transformation and become data-driven, business intelligence and analytics skills and experience are essential to building a data-savvy team. And do you know what the key to unlocking value from data is? Analytics and Business Intelligence Tools.

Business Intelligence 52

Business Intelligence Analytics Dashboards Statistics 52

CIO Business Intelligence

JANUARY 9, 2024

Similarly, the 2023 US AI Risk Survey Report from professional services firm KPMG found that data integrity was No. 1 among the top three risks — followed by statistical validity and model accuracy.

IT 128

IT Risk Cost-Benefit Enterprise 128