IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 94

Strategy Data Architecture Cost-Benefit Reporting 94

erwin

FEBRUARY 28, 2024

At Sparkle, we’re a holistic data partner helping organizations increase their data maturity in a strategic yet pragmatic way. One of the key ingredients to ensure data is really embedded in an organization, and one of the key enablers to increase the strategic impact of data, is the setup of a successful data governance program.

Metadata 52

Metadata Data Governance Data Quality Technology 52

IBM Big Data Hub

FEBRUARY 9, 2023

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture.

Data Governance 83

Data Governance Business Objectives Strategy Data Quality 83

Timo Elliott

JANUARY 6, 2022

Like the proverbial man looking for his keys under the streetlight , when it comes to enterprise data, if you only look at where the light is already shining, you can end up missing a lot. Remember that dark data is the data you have but don’t understand. So how do you find your dark data? Analyze your metadata.

IT 133

IT Metadata Data-driven Data Governance 133

IBM Big Data Hub

SEPTEMBER 20, 2023

When implemented in a responsible way—where the technology is fully governed, privacy is protected and decision making is transparent and explainable—AI has the power to usher in a new era of government services. AI’s value is not limited to advances in industry and consumer products alone.

Cost-Benefit 110

Cost-Benefit Digital Transformation Technology Modeling 110

IBM Big Data Hub

JANUARY 25, 2024

Yet many AI creators are currently facing backlash for the biases, inaccuracies and problematic data practices being exposed in their models. In reality, a holistic, socio-technical approach is required. This approach extends to ethical practices, which is why IBM created a Trustworthy AI Center of Excellence (COE).

Modeling 91

Modeling Predictive Modeling Risk Statistics 91

IBM Big Data Hub

FEBRUARY 12, 2024

Recognizing the need to harness real-time data, businesses are increasingly turning to event-driven architecture (EDA) as a strategic approach to stay ahead of the curve. This trend grows stronger as organizations realize the benefits that come from the power of real-time data streaming.

Data-driven 86

Data-driven Cost-Benefit Uncertainty Technology 86

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.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

Alation

JULY 15, 2021

Many data catalog initiatives fail. How can prospective buyers ensure they partner with the right catalog to drive success? According to the latest report from Eckerson Group, Deep Dive on Data Catalogs , shoppers must match the goals of their organizations to the capabilities of their chosen catalog. People-centric Search.

Reporting 98

Reporting Data Governance Recreation/Entertainment Metadata 98

erwin

APRIL 16, 2021

Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. Data Governance Is Business Transformation. Maturity Levels.

Data Governance 128

Data Governance Metadata Cost-Benefit Digital Transformation 128

IBM Big Data Hub

JANUARY 23, 2023

If you’re in charge of managing data at your organization, you know how important it is to have a system in place for ensuring that your data is accurate, up-to-date, and secure. That’s where data governance comes in. What exactly is data governance and why is it so important?

Data Governance 73

Data Governance Data Quality Management IT 73

Alation

AUGUST 17, 2022

According to analysts, data governance programs have not shown a high success rate. According to CIOs , historical data governance programs were invasive and suffered from one of two defects: They were either forced on the rank and file — who grew to dislike IT as a result. The Risks of Early Data Governance Programs.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

IBM Big Data Hub

JANUARY 15, 2024

In 2024, the ongoing process of digitalization further enhances the efficiency of government programs and the effectiveness of policies, as detailed in a previous white paper. Two critical elements driving this digital transformation are data and artificial intelligence (AI).

Machine Learning 69

Machine Learning Digital Transformation Modeling Technology 69

Cloudera

NOVEMBER 1, 2022

It’s no secret that IT modernization is a top priority for the US federal government. These systems also pose security risks, including the inability to use current security best practices, such as data encryption and multi-factor authentication, making these systems particularly vulnerable to malicious cyber activity.

Cost-Benefit 83

Cost-Benefit Data Architecture Risk IoT 83

IBM Big Data Hub

JANUARY 25, 2024

Adopting responsible AI requires a multi-stakeholder strategy as affirmed by top international resources including NIST, OECD , the Responsible Artificial Intelligence Institute , the Data and Trust Alliance and IEEE. Enable governance that accounts for both the technologies adopted and the enterprise AI is not a monolith.

Strategy 105

Strategy Risk Cost-Benefit Business Objectives 105

IBM Big Data Hub

MAY 25, 2023

It stands alongside IBM Consulting’s existing global AI and Automation practice, which includes 21,000 data and AI consultants who have conducted over 40,000 enterprise client engagements. At the same time, there are reasonable concerns about how to mitigate bias, manage data security, and factor in precision and risk.

Consulting 108

Consulting Experimentation Machine Learning Modeling 108

IBM Big Data Hub

FEBRUARY 1, 2024

Under such centrally governed systems, accountability needs to co-exist with privacy, while both need to respect the need for authorized audits. For example, the critical impact of CBDC infrastructure on the monetary supply implies that it should be governed by central banks. Payment transaction privacy is also important.

Experimentation 101

Experimentation Modeling Finance Reporting 101

Alation

MARCH 31, 2023

I’m talking about not just Walt Disney World, but also this year’s Gartner Data & Analytics Summit , which took place last month in Orlando at the landmark resort. Alation was proud to have been among the thought leaders at the annual gathering of data experts from around the world. Mesh or fabric? And when the answer is “Yes!”)

Data Analytics 52

Data Analytics Analytics Metadata Data Governance 52

IBM Big Data Hub

APRIL 9, 2024

Through a partnership spanning more than 25 years, IBM has helped the Augusta National Golf Club capture, analyze, distribute and use data to bring fans closer to the action, culminating in the AI-powered Masters digital experience and mobile app. At the Masters®, storied tradition meets state-of-the-art technology.

Management 87

Management IT Machine Learning Metrics 87

IBM Big Data Hub

JANUARY 3, 2024

The COVID-19 pandemic revealed disturbing data about health inequity. With today’s new generative AI products, trust, security and regulatory issues remain top concerns for government healthcare officials and C-suite leaders representing biopharmaceutical companies, health systems, medical device manufacturers and other organizations.

Metadata 80

Metadata Modeling Testing Manufacturing 80

IBM Big Data Hub

JUNE 30, 2022

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. Luckily, today’s data management approaches aren’t limited by traditional constraints like location or data patterns.

Data Strategy 57

Data Strategy Strategy Business Objectives Data-driven 57

IBM Big Data Hub

NOVEMBER 28, 2022

Metadata management performs a critical role within the modern data management stack. It helps blur data silos, and empowers data and analytics teams to better understand the context and quality of data. This, in turn, builds trust in data and the decision-making to follow. Improve data discovery.

Metadata 57

Metadata Data Quality Data-driven Data Governance 57

Cloudera

JANUARY 28, 2022

As I meet with our customers, there are always a range of discussions regarding the use of the cloud for financial services data and analytics. Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts.

Slice and Dice 109

Slice and Dice Cost-Benefit Risk Data Governance 109

Alation

APRIL 5, 2022

Data Management Meets Human Management. A well-oiled data governance machine comprises many parts, but what’s the most vital component? You and anyone else at your organization who uses data. Not everyone has to be a data expert — leave that to the actual experts. The Data Management Pizza Pie.

Data Governance 52

Data Governance Enterprise Management Data Quality 52

Alation

FEBRUARY 10, 2021

The way enterprises implement data governance is changing. In the past, data governance either emphasized exercising tight control over data or fitting people into rigid roles and processes. With both approaches, data governance is a hurdle to productive data & analytics rather than an enabler.

Data Governance 52

Data Governance Data-driven Enterprise Risk 52

Ontotext

FEBRUARY 12, 2024

Part one of this three-part series discussed the concept of data mesh and explored what it is and why an organization should care. Here, part two provides best practices for data mesh, including practical guidance, challenges, and limitations. Enterprises should identify and adopt specific data mesh elements to achieve velocity.

Data Quality 69

Data Quality Data-driven Data Lake Data Governance 69

erwin

NOVEMBER 28, 2019

In the era of data-driven business, such perspective is critical. EA also enables a better understanding of change, or impact analysis – which is essential considering the agile, data-driven landscape and its state of flux. IT has graduated from a support department to a proactive, value-driving function.

Enterprise 145

Enterprise Data-driven Data Governance Digital Transformation 145

Cloudera

JULY 9, 2021

If you’ve followed Cloudera for a while, you know we’ve long been singing the praises—or harping on the importance, depending on perspective—of a solid, standalone enterprise data strategy. The ways data strategies are implemented, the resulting outcomes and the lessons learned along the way provide important guardrails.

Data Strategy 108

Data Strategy Strategy Data-driven Machine Learning 108

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. Here are a few common data management challenges: Regulatory compliance on data use. Data quality. Data silos.

Data-driven 58

Data-driven Enterprise Data Governance Data Lake 58

erwin

DECEMBER 3, 2020

As the amount of data grows exponentially, organizations turn to data intelligence to reach deeper conclusions about driving revenue, achieving regulatory compliance and accomplishing other strategic objectives. It’s no secret that data has grown in volume, variety and velocity, with 2.5

Metadata 141

Metadata Data Governance Data-driven Digital Transformation 141

Alation

SEPTEMBER 7, 2021

This is the last of the 4-part blog series. In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. In this blog we will discuss how Alation helps minimize risk with active data governance.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

IBM Big Data Hub

SEPTEMBER 28, 2023

An AI and data platform, such as watsonx, can help empower businesses to leverage foundation models and accelerate the pace of generative AI adoption across their organization. Business-targeted, IBM-developed foundation models built from sound data Business leaders charged with adopting generative AI need model flexibility and choice.

Testing 94

Testing Finance Enterprise Modeling 94

Cloudera

MAY 5, 2022

Fraud, waste, and abuse (FWA) in government is a constant, multi-billion dollar issue that challenges agency leaders at all levels and across all sectors, from healthcare to education to taxation to Social Security. A team approach: rich, scalable data analytics from Cloudera, GAI, Dell, and NVIDIA.

Machine Learning 94

Machine Learning Visualization Data Analytics Optimization 94

IBM Big Data Hub

AUGUST 16, 2023

Learn more about data center management. Infrastructure: An end-to-end approach into the lifecycle of computing units, such as sourcing precious and rare metals and reducing their usage, reducing energy and computing units, and ultimately recycling the units Code: Writing efficient, open and secure code. Learn more about green coding.

Measurement 59

Measurement Technology Management 59

IBM Big Data Hub

MARCH 25, 2024

This blog and the IBM Institute for Business Value study The Revolutionary Content Supply Chain aim to answer these questions to help executives and their employees to better understand the changing landscape in content creation and embrace the power of generative AI models when it comes to optimizing their content supply chains.

Uncertainty 106

Uncertainty Cost-Benefit Risk Measurement 106

Laminar Security

NOVEMBER 1, 2023

Data is more critical than ever in 2023. Even if teams are actively seeking to improve their data security, it’s challenging to do so within today’s multi-cloud environments. Cloud storage makes it easy for developers and data scientists to move, modify, or duplicate sensitive data in seconds. privacy and compliance).

Data Science 94

Data Science Risk Enterprise Technology 94

IBM Big Data Hub

JULY 12, 2023

.” Enterprises need transformation partners with the right expertise and capabilities to help them on their paths. Customer care Organizations can combine customer data and generative AI to create personalized experiences at scale through chatbots and digital assistants.

Enterprise 58

Enterprise Unstructured Data Modeling Machine Learning 58