O'Reilly on Data

MARCH 26, 2024

TL;DR LLMs and other GenAI models can reproduce significant chunks of training data. Specific prompts seem to “unlock” training data. Generative AI Has a Plagiarism Problem ChatGPT, for example, doesn’t memorize its training data, per se. This is the basis of The New York Times lawsuit against OpenAI.

Modeling 273

Modeling Machine Learning Risk Advertising 273

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 ? Forrester recommends: .

Data-driven 130

Data-driven Data Architecture Machine Learning Strategy 130

IBM Big Data Hub

APRIL 22, 2024

That means making more sustainable choices about how models are built, trained, and used, where processing occurs, what infrastructure is used, and how open and collaborative we are along the way.” As data use and processing activities increase, so too will global emissions. In our 2023 Impact Report , we reported that 70.6%

Cost-Benefit 92

Cost-Benefit Modeling Manufacturing Reporting 92

DataKitchen

DECEMBER 6, 2022

The document they wrote is exceptionally close to what we see in the market and what our products do ! This document is essential because buyers look to Gartner for advice on what to do and how to buy IT software. The two things we are most excited about are: First, DataOps is distinct from all Data Analytic tools.

Software 130

Software Marketing Data Lake Testing 130

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

DECEMBER 16, 2022

It’s a fitting way to end what has been another big year for the industry. It can help us leverage significant amounts of data to start designing and discovering new solutions to business and societal problems such as those related to sustainability, life sciences, customer care, employee experience and many more.

Uncertainty 118

Uncertainty Metadata Modeling Data Collection 118

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 4, 2024

Figure 1: Transforming into an AI+ enterprise is at the core of what our team at IBM does An AI+ enterprise integrates AI as a first-class function across the business. AI is at a turning point, driving exponential advancements in an organization’s prosperity and growth. times higher ROI.

Enterprise 107

Enterprise ROI Risk Strategy 107

erwin

AUGUST 6, 2020

How Data Literacy Turns Data from a Burden to a Benefit. Today, data literacy is more important than ever. Data is now being used to support business decisions few executives thought they’d be making even six months ago. So, what is data literacy? What Is Data Literacy?

Contextual Data 135

Contextual Data Data Governance Digital Transformation Metadata 135

Cloudera

MARCH 5, 2024

AI, and any analytics for that matter, are only as good as the data upon which they are based. AI, and any analytics for that matter, are only as good as the data upon which they are based. Cloudera is now the only provider to offer an open data lakehouse with Apache Iceberg for cloud and on-premises.

Snapshot 87

Snapshot Data Lake Enterprise Data Governance 87

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

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

Domino Data Lab

AUGUST 6, 2021

In the world of machine learning (ML) and artificial intelligence (AI), governance is a lifelong pursuit. As such, model governance needs to be applied to each model for as long as it’s being used. What Is Model Governance? What Is Model Governance? Purpose of Model Governance and Why It’s Important.

Machine Learning 145

Machine Learning Modeling Testing Risk 145

Cloudera

DECEMBER 19, 2023

Earlier this month, I had the opportunity to lead a roundtable discussion at the PSN Government Innovation show ( 2023 Government Innovation Show – Federal – Public Sector Network ) in Washington, DC. I’ll highlight some key insights and takeaways from my conversations in the paragraphs that follow. The underlying reason?

Optimization 86

Optimization Cost-Benefit Unstructured Data Risk 86

IBM Big Data Hub

MAY 31, 2023

Register for the free, virtual event What is Presto? 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. What is PrestoCon Day? PrestoCon Day brings together Presto users and developers from organizations around the globe.

Advertising 91

Advertising Optimization Data Analytics Reporting 91

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

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 106

Internet of Things IoT Forecasting Visualization 106

erwin

OCTOBER 8, 2020

So if you’re going to move from your data from on-premise legacy data stores and warehouse systems to the cloud, you should do it right the first time. And as you make this transition, you need to understand what data you have, know where it is located, and govern it along the way. Automated Cloud Migration.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

IBM Big Data Hub

MARCH 29, 2024

But what if you could optimize even further? It may be the solution that finally breaks through dysfunctional silos of business units, applications, data and people, and moves beyond the constraints that have cost companies dearly. Challenge 1: Orchestrate relevant data The journey to generative AI begins with data management.

Management 92

Management Structured Data Modeling Data Governance 92

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. Today, a tiny homogeneous group of people determine what data to use to train generative AI models, which is drawn from sources that greatly overrepresent English.

Modeling 91

Modeling Predictive Modeling Risk Statistics 91

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

JANUARY 3, 2024

The COVID-19 pandemic revealed disturbing data about health inequity. What is available over the counter that may work instead? There are many elements required to earn people’s trust, including making sure that your AI model is accurate, auditable, explainable, fair and protective of people’s data privacy.

Metadata 80

Metadata Modeling Testing Manufacturing 80

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. What are central bank digital currencies? For example, the critical impact of CBDC infrastructure on the monetary supply implies that it should be governed by central banks.

Experimentation 101

Experimentation Modeling Finance Reporting 101

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

Cloudera

FEBRUARY 11, 2022

However, to understand what Ethical AI is, we need to have at least a basic understanding of ML, ML models and the data science lifecycle and how they are related. This blog post hopes to provide this foundational understanding. What is Machine Learning. Instead, they are learned by training a model on data.

Machine Learning 93

Machine Learning Sales Data Science Modeling 93

erwin

SEPTEMBER 10, 2020

Not Documenting End-to-End Data Lineage Is Risky Busines – Understanding your data’s origins is key to successful data governance. Not everyone understands what end-to-end data lineage is or why it is important. Data Lineage Tells an Important Origin Story. Who are the data owners?

Data Governance 131

Data Governance Key Performance Indicator Digital Transformation Metadata 131

Cloudera

DECEMBER 3, 2021

In part 1 of this blog post, we discussed the need to be mindful of data bias and the resulting consequences when certain parameters are skewed. Surely there are ways to comb through the data to minimise the risks from spiralling out of control. An AI system trained on data has no context outside of that data.

Uncertainty 98

Uncertainty Measurement Metrics Modeling 98

erwin

FEBRUARY 13, 2020

When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice. Data Governance Attitudes Are Shifting. Data Governance Attitudes Are Shifting. Metadata Management Takes Time.

Metadata 135

Metadata Data Governance Management Cost-Benefit 135

IBM Big Data Hub

OCTOBER 16, 2023

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. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML).

Risk 77

Risk Modeling Management Metadata 77

IBM Big Data Hub

APRIL 24, 2024

An online retailer always gets users’ explicit consent before sharing customer data with its partners. A navigation app anonymizes activity data before analyzing it for travel trends. One cannot overstate the importance of data privacy for businesses today. The user can accept or reject each use of their data individually.

Risk 71

Risk Measurement Data Governance Insurance 71

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 94

Cost-Benefit Strategy Data Science Data Processing 94

Laminar Security

DECEMBER 22, 2023

In the age of cloud computing, data security and cost management are paramount for businesses. Data Security Posture Management (DSPM) serves as a critical tool in this landscape, offering businesses a way to keep their data secure while also managing their cloud storage costs effectively.

Cost-Benefit 95

Cost-Benefit Risk Optimization Risk Management 95

IBM Big Data Hub

NOVEMBER 21, 2023

Apache Kafka is a well-known open-source event store and stream processing platform and has grown to become the de facto standard for data streaming. A schema describes the structure of data. Apache Kafka transfers data without validating the information in the messages. What is a schema registry?

Data Quality 107

Data Quality Metadata Data-driven Optimization 107

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

Timo Elliott

MAY 19, 2023

Mastering Data Hygiene Reliable data is at the core of all digital transformation. You can see their full entryv” Enabling a Data-Driven Culture by Integrating SAP Solutions with SAP Business Technology Platform ” on the awards site. It’s always about people!

Data-driven 98

Data-driven Digital Transformation Data Quality Optimization 98

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 102

Metadata Risk Risk Management Experimentation 102

Alation

FEBRUARY 3, 2022

What do all these disciplines have in common? What Is Continuous Improvement? The goal of DataOps is to create predictable delivery and change management of data and all data-related artifacts. So how does data governance relate to DataOps? Data governance is a key data management process.

Data Governance 98

Data Governance Measurement Metadata Testing 98