Cloudera

APRIL 18, 2024

All of that technology, though, depends on data to be successful. In those discussions, it was clear that everyone understood the need to treat data estates more cohesively as a whole—that means bringing more attention to security, data governance, and metadata management, the latter of which has become increasingly popular.

Analytics 104

Analytics Metadata Data Strategy Optimization 104

Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. Donna Burbank. IRM UK Connects.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

DataKitchen

FEBRUARY 22, 2024

The Art of Data Buck-Passing 101: Mastering the Blame Game in Data and Analytic Teams Welcome, dear readers, to the hallowed halls of Data Buck-Passing University, where the motto is “ Per Alios Culpa Transfertur ” (Blame is Transferred to Others). It’s the seasoning that makes the data world go round.

Analytics 190

Analytics Data Governance Strategy Testing 190

Cloudera

DECEMBER 1, 2023

Recent Government Initiatives on Public Sector AI Solutions In recent years, governments across the globe have recognized the transformative potential of artificial intelligence (AI) and have embarked on initiatives to harness this technology to drive innovation and serve their citizens more effectively.

Data Governance 104

Data Governance Data-driven Strategy Data Architecture 104

DataKitchen

JANUARY 2, 2021

ModelOps is “ at the core of an organization’s AI strategy ” and is “ focused on operationalizing AI models, including the full life cycle management of AI decision models and AI governance.” ModelOps depends on a comprehensive data foundation enabled by data engineering practices and DataOps. White Paper: Governance as Code.

Testing 130

Testing Machine Learning Reporting Modeling 130

IBM Big Data Hub

SEPTEMBER 12, 2023

The UK government’s Ecosystem of Trust is a potential future border model for frictionless trade, which the UK government committed to pilot testing from October 2022 to March 2023. The consortium ran a pilot that provided the government with additional supply chain data for 700,000 consignments.

Testing 101

Testing Modeling Cost-Benefit Consulting 101

erwin

DECEMBER 20, 2018

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Defining Data Governance. to Data Governance 2.0

Data Governance 40

Data Governance ROI Risk Management Metadata 40

DataKitchen

MAY 10, 2021

As organizations strive to become more data-driven, Forrester recommends 5 actions to take to move from one stage of insights-driven business maturity to another. . Beginners: Ensure that your methodology, governance, and operations processes are agile and adaptive. . Blog: What is DataOps ?

Data-driven 130

Data-driven Data Architecture Machine Learning Strategy 130

Cloudera

MARCH 5, 2024

AI, and any analytics for that matter, are only as good as the data upon which they are based. Struggling to access and collect, oftentimes disparate and siloed, data across environments that are required to power AI, many organizations are unable to achieve the business insight and value they had hoped for.

Snapshot 86

Snapshot Data Lake Enterprise Data Governance 86

IBM Big Data Hub

OCTOBER 4, 2022

Today, AI presents an enormous opportunity to turn data into insights and actions, to amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. Furthermore, 59% of executives claim AI can improve the use of big data in their organizations, facts about artificial intelligence show. (

Metadata 104

Metadata Risk Risk Management Experimentation 104

IBM Big Data Hub

JANUARY 25, 2023

In our last blog , we introduced Data Governance: what it is and why it is so important. In this blog, we will explore the challenges that organizations face as they start their governance journey. Silos exist naturally when data is managed by multiple operational systems.

Data Governance 52

Data Governance Data-driven Strategy Management 52

Andrew White

JULY 5, 2023

I blogged recently about the high level of hype and confusion across Data and Analytics just a few months ago. Here is the original blog from March 2023: Summing Up Three Days at Gartner’s Data and Analytics Conference in Orlando, Florida, USA. The fact that there are different names is one thing.

Metrics 52

Metrics Metadata Modeling Data Quality 52

IBM Big Data Hub

MARCH 29, 2024

If you’re currently using traditional AI, advanced analytics, and intelligent automation, aren’t you already getting deep insights into asset performance? Challenge 1: Orchestrate relevant data The journey to generative AI begins with data management. Undoubtedly. But what if you could optimize even further?

Management 98

Management Structured Data Modeling Data Governance 98

IBM Big Data Hub

MAY 31, 2023

Presto is an open-source, fast and reliable SQL query engine that provides one simple ANSI SQL interface for all your data analytics and your open lakehouse. The virtual show will feature many marquee users sharing how they use Presto to power their data analytics and lakehouses. Why Presto and IBM?

Advertising 95

Advertising Optimization Data Analytics Reporting 95

IBM Big Data Hub

DECEMBER 18, 2023

One of the largest sources of data is all around us—that is, geospatial data. Geographic information systems (GIS ) visualize and make sense of this data, helping people and businesses better understand the patterns and relationships of our world.

Internet of Things 111

Internet of Things IoT Forecasting Visualization 111

IBM Big Data Hub

FEBRUARY 5, 2024

For federal and state governments and agencies, identity is the crux of a robust security implementation. Numerous individuals disclose confidential, personal data to commercial and public entities daily, necessitating that government institutions uphold stringent security measures to protect their assets.

Risk 103

Risk Cost-Benefit Measurement Management 103

Cloudera

SEPTEMBER 26, 2023

Organizations increasingly rely on streaming data sources not only to bring data into the enterprise but also to perform streaming analytics that accelerate the process of being able to get value from the data early in its lifecycle.

Technology 89

Technology IT Data-driven Data Architecture 89

IBM Big Data Hub

APRIL 29, 2024

VeloxCon 2024 , the premier developer conference that is dedicated to the Velox open-source project, brought together industry leaders, engineers, and enthusiasts to explore the latest advancements and collaborative efforts shaping the future of data management. You can read more about why Velox was built in Meta’s engineering blog.

Management 74

Management Optimization Data Processing Metrics 74

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.

Internet of Things 145

Internet of Things Data-driven Uncertainty Data Governance 145

Cloudera

AUGUST 30, 2022

Data-fuelled innovation requires a pragmatic strategy. This blog lays out some steps to help you incrementally advance efforts to be a more data-driven, customer-centric organization. For example, providers can start by including more real-time data streams that can enhance customer interactions.

Strategy 101

Strategy Data Strategy ROI Cost-Benefit 101

Jen Stirrup

FEBRUARY 23, 2024

To achieve AI ambitions, organizations need data and a cyber-resilient data platform to support them, and this will mean a growing need for data observability. As organizations become increasingly data-driven toward achieving AI ambitions, they recognize the need to ensure data accuracy, reliability, and quality.

Data-driven 73

Data-driven Data Governance Data Quality Cost-Benefit 73

Cloudera

JUNE 7, 2023

The revised ZTMM is organized by five categories or pillars: identity, devices, networks, applications and workloads, and data, and four levels of maturity: traditional, initial, advanced, and optimal. The data is protected but it is also accessible by the people who need it. But as models go, the idea is easier than the execution.

Metadata 78

Metadata Data Lake Optimization Modeling 78

IBM Big Data Hub

MAY 8, 2023

This blog continues the discussion, now investigating the risks of adopting AI and proposes measures for a safe and judicious response to adopting AI. This blog continues the discussion, now investigating the risks of adopting AI and proposes measures for a safe and judicious response to adopting AI.

Insurance 80

Insurance Risk Testing Data Quality 80

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

CIO Business Intelligence

DECEMBER 12, 2022

Microsoft has signed a 10-year deal with the London Stock Exchange Group (LSEG) that calls for the software giant to buy a 4% stake in the exchange in order to jointly develop new products and services for data and analytics. billion) in 2021. billion on cloud-related products with Microsoft.

Manufacturing 111

Manufacturing Interactive Marketing Risk 111

Cloudera

MARCH 3, 2022

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance.

Data Governance 95

Data Governance Enterprise Data Quality Metadata 95

Cloudera

APRIL 7, 2022

As a public sector leader, you don’t need the value of data explained to you. Simply collecting data isn’t enough anymore: government agencies must harness the value of that data in motion with an effective data strategy and platform. You already understand its importance to your vital missions. .

Data-driven 89

Data-driven Machine Learning Data Governance Data Strategy 89

Cloudera

FEBRUARY 23, 2023

Solving this crisis can and should be supported by insights gained from the vast amounts of data available to healthcare providers and government agencies. Solving this crisis can and should be supported by insights gained from the vast amounts of data available to healthcare providers and government agencies.

Data Analytics 75

Data Analytics Analytics Data Processing Risk 75

Alation

JANUARY 20, 2022

Several weeks ago (prior to the Omicron wave), I got to attend my first conference in roughly two years: Dataversity’s Data Quality and Information Quality Conference. Ryan Doupe, Chief Data Officer of American Fidelity, held a thought-provoking session that resonated with me. But what about governance rules that enforce quality?

Data Quality 94

Data Quality Data Governance Metrics Statistics 94

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

APRIL 22, 2024

To drive real change, it’s crucial for individuals, industries, organizations and governments to work together, using data and technology to uncover new opportunities that will help advance sustainability initiatives across the globe. The world is behind on addressing climate change.

IoT 91

IoT Internet of Things Cost-Benefit Reporting 91

IBM Big Data Hub

OCTOBER 16, 2023

This is where AI governance comes into play: addressing these potential and inevitable problems of adoption. This is where AI governance comes into play: addressing these potential and inevitable problems of adoption. AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities.

Risk 82

Risk Modeling Management Metadata 82

Smart Data Collective

FEBRUARY 28, 2023

Data analytics technology has had a profound impact on the state of the financial industry. A growing number of financial institutions are using analytics tools to make better investing decisions and insurers are using analytics technology to improve their underwriting processes.

Analytics 102

Analytics Data mining Finance Analytics Technologies 102

Cloudera

OCTOBER 19, 2022

The telecommunications industry continues to develop hybrid data architectures to support data workload virtualization and cloud migration. With multiple speaking tracks focusing on technology, networks, and data & AI, industry leaders repeatedly highlighted the hybrid nature of their infrastructure. .

Optimization 77

Optimization Data Architecture Data Governance Digital Transformation 77

IBM Big Data Hub

NOVEMBER 4, 2022

Data is the new oil and organizations of all stripes are tapping this resource to fuel growth. However, data quality and consistency are one of the top barriers faced by organizations in their quest to become more data-driven. Unlock quality data with IBM. and its leading data observability offerings.

Data Quality 58

Data Quality Metadata Data Governance Data-driven 58

Cloudera

MARCH 29, 2022

State and local governments generate and store enormous amounts of data essential to their ability to deliver citizen services. But how can they capitalize on all of their data to become engines of growth and innovation, empowering and enhancing their ability to provide services and better serve their communities?

Cost-Benefit 93

Cost-Benefit Strategy Data Science Data Processing 93

Cloudera

DECEMBER 11, 2020

The Data Security and Governance category, at the annual Data Impact Awards, has never been so important. The sudden rise in remote working, a huge influx in data as the world turned digital, not to mention the never-ending list of regulations businesses need to remain compliant with (how many acronyms can you name in full?

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98