CIO Business Intelligence

FEBRUARY 14, 2024

What it’s doing is surfacing your lack of governance around your data. Generative AI continues to dominate IT projects for many organizations, with two thirds of business leaders telling a Harris Poll they’ve already deployed generative AI tools internally, and IDC predicting spend on gen AI will more than double in 2024. But it was.

IT 143

IT Metadata Data-driven Management 143

CIO Business Intelligence

SEPTEMBER 5, 2023

Properly tagged resources can be automatically monitored, with alerts that notify stakeholders when infrastructure is deployed outside of governance policies established by the business. In a traditional environment, everyone must collaborate on building servers, storage, and networking equipment. Cloud Management

IT 97

IT Digital Transformation Data-driven Business Analysis 97

erwin

APRIL 2, 2021

Data Security Starts with Data Governance. Lack of a solid data governance foundation increases the risk of data-security incidents. Without data governance, organizations lack the ability to connect the dots across data governance, security and privacy – and to act accordingly. Who is authorized to use it and how?

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

AWS Big Data

JUNE 27, 2023

We wanted to include interactive, real-time visualizations to support recruiters from one of our government clients. Modernized analytics and reporting At iostudio, we faced the challenge of modernizing our government client’s static recruitment marketing analytics solution. We also saved 75% on our annual external software costs.

Metrics 96

Metrics Dashboards Interactive Visualization 96

CIO Business Intelligence

MARCH 20, 2024

The main bit that has a lot more focus is the operational technology, and that’s everything from a kiosk to print your boarding pass and a bag tag, to the auto bag drop technology, which takes your bag from the conveyor at check-in to the plane. Order amid complexity Security and uptime is a huge component of what Tomai and the team focus on.

Technology 105

Technology Scorecard Digital Transformation Strategy 105

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 91

Data Governance Unstructured Data Metadata Data Lake 91

erwin

AUGUST 6, 2020

Collaborate more effectively with their partners in data (management and governance) for greater efficiency and higher quality outcomes. Data access, literacy and knowledge leads to sound decision-making and that’s key to data governance and any other data-driven effort. So, what is data literacy? Good Data = Good Decisions.

Contextual Data 135

Contextual Data Data Governance Digital Transformation Metadata 135

CIO Business Intelligence

JUNE 20, 2023

Basic accessibility tools like screen readers and tagging technology have existed for years, but bridging the digital accessibility gap has continued to be a manual, time-consuming process requiring extensive training and experience. Bring AI to PDFs About 30 years ago, Adobe invented the PDF format and then outsourced it to the world.

Digital Transformation 52

Digital Transformation Testing Technology Publishing 52

erwin

OCTOBER 31, 2019

The Regulatory Rationale for Integrating Data Management & Data Governance. Now, as Cybersecurity Awareness Month comes to a close – and ghosts and goblins roam the streets – we thought it a good time to resurrect some guidance on how data governance can make data security less scary. Happy Halloween! What data you have?

Data Governance 105

Data Governance Metadata Risk Data Lake 105

CIO Business Intelligence

MAY 3, 2022

One possible solution is to create a cloud governance program. Governance is not a fixed process or tool,” says Antonio Vazquez, CIO at business process automation platform provider Bizagi. Governance is not a fixed process or tool,” says Antonio Vazquez, CIO at business process automation platform provider Bizagi.

Management 144

Management Scorecard Cost-Benefit Risk 144

Cloudera

JUNE 27, 2023

The way to achieve this balance is by moving to a modern data architecture (MDA) that makes it easier to manage, integrate, and govern large volumes of distributed data. Simplify, and where possible, automate governance. Offload data from legacy, on-premises analytic platforms and appliances.

Data Architecture 64

Data Architecture Predictive Modeling Data Governance Data-driven 64

IBM Big Data Hub

APRIL 24, 2024

The General Data Protection Regulation (GDRP) The GDPR is a European Union privacy regulation that governs how organizations in and outside of Europe handle the personal data of EU residents. An online retailer always gets users’ explicit consent before sharing customer data with its partners.

Risk 85

Risk Measurement Data Governance Insurance 85

erwin

JUNE 26, 2020

These fragmented data environments make data governance a challenge since business stakeholders, data analysts and other users are unable to discover data or run queries across an entire data set. If you’re serious about a data-driven strategy , you’re going to need a data catalog. Technical Metadata. Business Metadata.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

erwin

APRIL 11, 2019

Fortunately, whenever the time comes, the first point of call will always be data governance, so organizations can prepare. The Regulatory Rationale for Integrating Data Management & Data Governance. Data Governance: The Foundation for Compliance. New Data Protection Regulations – Always Be Prepared. employees). employees).

Insurance 100

Insurance Data-driven Data Governance Metadata 100

Octopai

JUNE 19, 2023

Establish Data Governance Policies A crucial part of implementing a data catalog is establishing robust data governance policies. This includes providing filters, tags, owners, and other search capabilities. The job of data teams and data owners becomes challenging making sense of where data resides and where its origins are.

Metadata 88

Metadata Data Governance Measurement Risk Management 88

CIO Business Intelligence

NOVEMBER 7, 2022

Developing models isn’t trivial, and data scientists certainly have challenges cleansing and tagging data, selecting algorithms, configuring models, setting up infrastructure, and validating results. Leaders who want to improve AI delivery performance should address this first question: are data scientists set up for success?

Machine Learning 128

Machine Learning Data Science Experimentation IoT 128

erwin

JANUARY 7, 2021

As businesses migrate from legacy systems to the cloud, data governance and data intelligence will become increasingly relevant to the C-suite and tools to automate and expedite the process will take center stage. However, that definition is too narrow in terms of AI’s relation to data governance.

Metadata 98

Metadata Data Governance Internet of Things IoT 98

CIO Business Intelligence

JUNE 5, 2023

Without a high level of expertise across all areas of integration, you risk compromising security, governance, and compliance. But, that comes with a price tag. Establish strong governance with standards for data formats and structures across the organization. Another factor to consider is risk.

Data Integration 52

Data Integration ROI Risk Finance 52

AWS Big Data

FEBRUARY 16, 2024

For instructions, refer to Centralize governance for your data lake using AWS Lake Formation while enabling a modern data architecture with Amazon Redshift Spectrum. For Name tag , enter an optional name. For Name tag , enter an optional name. For Name tag , enter an optional name. Choose Create endpoint.

Data Lake 93

Data Lake Data Warehouse Testing Business Objectives 93

Alation

JULY 15, 2021

With a strong emphasis on human-generated metadata and logfile-derived insights, it powers search and discovery for data analysts along with access-oriented data governance. Data Governance: Access with Compliance Guidance. The data governance challenge can be summarized as follows. A governance policy center.

Reporting 98

Reporting Data Governance Recreation/Entertainment Metadata 98

Cloudera

DECEMBER 11, 2020

The Data Security and Governance category, at the annual Data Impact Awards, has never been so important. But there are organizations that are already ahead of the game when it comes to Security and Governance, and they were recognized and celebrated in our seventh category of the Awards this year. .

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

Alation

JUNE 14, 2021

And third is what factors CIOs and CISOs should consider when evaluating a catalog – especially one used for data governance. The Role of the CISO in Data Governance and Security. They want CISOs putting in place the data governance needed to actively protect data. “So IT Teams Must Do 3 Key Things to Implement Data Governance.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Digital Transformation 97

Alation

SEPTEMBER 9, 2021

This is where data governance comes in: A robust program allows banks and financial institutions to use this data to build customer trust and still meet compliance mandates. What is Data Governance in Banking? Tagging data types. The Value of Data Governance in Banking. Creating roles and assigning responsibilities.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

CIO Business Intelligence

FEBRUARY 8, 2024

They often come with rigid processes, complex solutions, and high price tags. Vendor partnerships are becoming increasingly vital to IT agendas today. If the client is looking exclusively at driving costs down or the vendor is only looking at maximizing margin, it will not create the foundation for a collaborative partnership,” Allen says.

Management 130

Management Scorecard Cost-Benefit Key Performance Indicator 130

Alation

OCTOBER 5, 2021

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. And how can leaders ensure their governance initiatives contribute to larger organizational goals? The first step towards a successful data governance strategy is setting appropriate goals and milestones.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

CIO Business Intelligence

JUNE 6, 2023

What if the difference in security and governance requires additional system administrators? This model considers hidden costs not included in the price tag, like risk, implementation costs, infrastructure costs, security costs, organizational changes, vendor lock-in, and the cost of doing nothing at all.

Optimization 52

Optimization Cost-Benefit ROI Data-driven 52

CIO Business Intelligence

OCTOBER 20, 2022

ESG (Environmental, Social, and Governance) topics have emerged as critical issues for organizations of all sizes. Their theme of “Digital + Electric = Sustainability” represents a real opportunity for companies to pivot away from products and processes that offer profit with a high environmental price tag.

Snapshot 91

Snapshot Statistics Metrics Publishing 91

IBM Big Data Hub

NOVEMBER 28, 2022

Suppose that a new data asset becomes available but remains hidden from your data consumers because of improper or inadequate tagging. How do you keep pace with growing data volumes and increased demand from data consumers and deliver real-time data governance for trusted outcomes? Common use cases for active metadata management.

Metadata 56

Metadata Data Quality Data-driven Data Governance 56

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

Laminar Security

DECEMBER 13, 2023

The power of AI and data classification Data classification , often referred to as “tagging” or “labeling”, is a crucial process that categorizes data based on its type and sensitivity. The primary focus of discovery is to find all the places where data exists and identify the assets it resides in.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

Smart Data Collective

JUNE 23, 2019

By collecting data, open spots in the structure can be tagged and it can be identified when the structure is full. A primary question for every city government is how to spend money. Big data helps to give great insight into this, which enables government to use its resources in more effective and intelligent ways.

Big Data 109

Big Data Cost-Benefit Measurement Management 109

Ontotext

NOVEMBER 28, 2023

It’s been a year since the VIGILANT consortium gathered for the project’s kick-off meeting when 17 European partners spanning academia, industry, government research centers, and Police Authorities (PAs) gathered together in Dublin, Ireland. That is why its development should not happen in a vacuum.

Modeling 59

Modeling Reporting IT 59

O'Reilly on Data

MAY 25, 2021

The ongoing global interest in the power of Machine Learning models by corporations, institutions, governments, and focus groups leads to the hypothesis that other entities have models at least as powerful as GPT-3, and that these models are already in use. Among other things. These models will continue to become more powerful.

Modeling 346

Modeling Marketing Testing Machine Learning 346

IBM Big Data Hub

MAY 9, 2022

A data fabric automates data discovery, governance and consumption, enabling enterprises to use data to maximize their value chain. This data marketplace capability will enable organizations to efficiently deliver high quality governed data products at scale across the enterprise. Data governance and privacy. Read the eBook.

Management 56

Management Data Quality Metadata Data Integration 56

AWS Big Data

APRIL 24, 2023

You get the flexibility to choose the table and file format best suited for your use case and get the benefit of centralized data governance to secure data access when using Athena. Define Lake Formation policies For data governance, we use Lake Formation. Iceberg is an open table format for very large analytic datasets.

Data Lake 76

Data Lake Data Governance Cost-Benefit Machine Learning 76

datapine

SEPTEMBER 29, 2022

What Is Data Quality Management (DQM)? Data quality management is a set of practices that aim at maintaining a high quality of information. It goes all the way from the acquisition of data and the implementation of advanced data processes, to an effective distribution of data. It also requires a managerial oversight of the information you have.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Ontotext

MAY 2, 2024

Our product is TopBraid EDG and it’s the choice semantic-modeling and application-powering tool, enabling teams to create, maintain, govern, and deploy their data. Application-centric approach In the application-centric approach to data, people create an application to solve their problems today.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52