CIO Business Intelligence

FEBRUARY 6, 2025

The hype around large language models (LLMs) is undeniable. They promise to revolutionize how we interact with data, generating human-quality text, understanding natural language and transforming data in ways we never thought possible. Even basic predictive modeling can be done with lightweight machine learning in Python or R.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

CIO Business Intelligence

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

JANUARY 30, 2025

There have been many organizations that state that AI governance should come from governments first. While there is a lot of effort and content that is now available, it tends to be at a higher level which will require work to be done to create a governance model specifically for your organization.

Testing 93

Testing Metrics Cost-Benefit Modeling 93

CIO Business Intelligence

NOVEMBER 27, 2024

Good data governance has always involved dealing with errors and inconsistencies in datasets, as well as indexing and classifying that structured data by removing duplicates, correcting typos, standardizing and validating the format and type of data, and augmenting incomplete information or detecting unusual and impossible variations in the data.

Enterprise 141

Enterprise Data Quality Structured Data Modeling 141

O'Reilly on Data

MAY 21, 2019

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in London earlier this year. A typical data pipeline for machine learning.

Machine Learning 279

Machine Learning Technology Deep Learning Data Science 279

David Menninger's Analyst Perspectives

NOVEMBER 19, 2024

To improve data reliability, enterprises were largely dependent on data-quality tools that required manual effort by data engineers, data architects, data scientists and data analysts. Having trust in data is crucial to business decision-making.

Data Quality 130

Data Quality Dashboards Data-driven Software 130

CIO Business Intelligence

APRIL 30, 2025

At ServiceNow, theyre infusing agentic AI into three core areas: answering customer or employee requests for things like technical support and payroll info; reducing workloads for teams in IT, HR, and customer service; and boosting developer productivity by speeding up coding and testing. For others, integration remains the biggest obstacle.

IT 139

IT Sales Cost-Benefit Data-driven 139

DataKitchen

DECEMBER 13, 2021

Data Observability and Monitoring with DataOps. Add DataOps Tests to Deploy with Confidence. DataOps is NOT Just DevOps for Data. Launch Your DataOps Journey with the DataOps Maturity Model. Data Governance as Code. 2021 Data Engineering Survey: Burned-Out Data Engineers are Calling for DataOps.

Data Architecture 246

Data Architecture Data Governance Testing Modeling 246

AWS Big Data

DECEMBER 19, 2024

Initially, the data inventories of different services were siloed within isolated environments, making data discovery and sharing across services manual and time-consuming for all teams involved. Implementing robust data governance is challenging. Oghosa Omorisiagbon is a Senior Data Engineer at HEMA.

Data Governance 52

Data Governance Publishing Data-driven Metadata 52

AWS Big Data

NOVEMBER 22, 2024

Now, with support for dbt Cloud, you can access a managed, cloud-based environment that automates and enhances your data transformation workflows. This upgrade allows you to build, test, and deploy data models in dbt with greater ease and efficiency, using all the features that dbt Cloud provides.

Data Lake 103

Data Lake Data Warehouse Cost-Benefit Data Transformation 103

O'Reilly on Data

DECEMBER 19, 2018

We need to do more than automate model building with autoML; we need to automate tasks at every stage of the data pipeline. In a previous post , we talked about applications of machine learning (ML) to software development, which included a tour through sample tools in data science and for managing data infrastructure.

Machine Learning 279

Machine Learning Software Metadata Testing 279

Alation

FEBRUARY 3, 2022

They make testing and learning a part of that process. Using this methodology, teams will test new processes, monitor performance, and adjust based on results. DataOps practices help organizations overcome challenges caused by fragmented teams and processes and delays in delivering data in consumable forms. Curate Assets.

Data Governance 98

Data Governance Measurement Metadata Testing 98

erwin

DECEMBER 13, 2018

This past year witnessed a data governance awakening – or as the Wall Street Journal called it, a “global data governance reckoning.” There was tremendous data drama and resulting trauma – from Facebook to Equifax and from Yahoo to Marriott. So what’s on the horizon for data governance in the year ahead?

Data Governance 91

Data Governance IoT Internet of Things Data-driven 91

erwin

NOVEMBER 6, 2020

Prashant Parikh, erwin’s Senior Vice President of Software Engineering, talks about erwin’s vision to automate every aspect of the data governance journey to increase speed to insights. Although AI and ML are massive fields with tremendous value, erwin’s approach to data governance automation is much broader.

Data Governance 97

Data Governance Metadata Data-driven Visualization 97

CIO Business Intelligence

JANUARY 7, 2025

Transformational CIOs continuously invest in their operating model by developing product management, design thinking, agile, DevOps, change management, and data-driven practices. For AI to deliver safe and reliable results, data teams must classify data properly before feeding it to those hungry LLMs.

Digital Transformation 143

Digital Transformation Experimentation Cost-Benefit Strategy 143

TDAN

DECEMBER 1, 2021

Migrating data to the public cloud offers a wide range of benefits for enterprises; data teams can more easily access their data, write, and test data science models, evaluate new data platforms and test applications, run POCs, and deploy in production.

Data Governance 83

Data Governance Testing Data Science Enterprise 83

CIO Business Intelligence

APRIL 26, 2024

That data is in the process of being unified on a multilayered platform that offers a variety of data services, including data ingestion, data management, data governance, and data security. We’re modernizing existing products to get to this entire data analytics value chain.”

Modeling 114

Modeling IT Machine Learning Data Governance 114

erwin

SEPTEMBER 25, 2020

Understanding the benefits of data modeling is more important than ever. Data modeling is the process of creating a data model to communicate data requirements, documenting data structures and entity types. In this post: What Is a Data Model? Why Is Data Modeling Important?

Modeling 111

Modeling Cost-Benefit Visualization Data Warehouse 111

CIO Business Intelligence

FEBRUARY 26, 2025

We actually started our AI journey using agents almost right out of the gate, says Gary Kotovets, chief data and analytics officer at Dun & Bradstreet. The knowledge management systems are up to date and support API calls, but gen AI models communicate in plain English. Thats what Cisco is doing.

IT 141

IT Enterprise Interactive Data Quality 141

CIO Business Intelligence

MARCH 6, 2024

What has IT’s role been in the transformation to a SaaS model? We built that end-to-end data model and process from scratch while we ran the old business. We knew we had a unique opportunity to build a new end-to-end architecture with a common AI-powered data model. Today, we’re a $1.6 Today, we’re a $1.6

Modeling 116

Modeling Management IT Metrics 116

Cloudera

DECEMBER 4, 2024

To unlock the full potential of AI, however, businesses need to deploy models and AI applications at scale, in real-time, and with low latency and high throughput. The Cloudera AI Inference service is a highly scalable, secure, and high-performance deployment environment for serving production AI models and related applications.

Metrics 73

Metrics Data Processing Machine Learning Deep Learning 73

CIO Business Intelligence

NOVEMBER 7, 2024

We are still maturing in this capability, but we have fully recognized that we have shared data responsibilities. We have a data office that focuses on data governance, data domain stewardship, and access, and this group sits outside of IT. We explore the essence of data and the intricacies of data engineering.

Insurance 120

Insurance Experimentation Testing Technology 120

erwin

JANUARY 24, 2019

In most companies, an incredible amount of data flows from multiple sources in a variety of formats and is constantly being moved and federated across a changing system landscape. They need their data mappings to fall under governance and audit controls, with instant access to dynamic impact analysis and lineage.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

AWS Big Data

OCTOBER 10, 2023

Data governance is the process of ensuring the integrity, availability, usability, and security of an organization’s data. Due to the volume, velocity, and variety of data being ingested in data lakes, it can get challenging to develop and maintain policies and procedures to ensure data governance at scale for your data lake.

Data Quality 111

Data Quality Data Governance Data Lake Testing 111

erwin

SEPTEMBER 12, 2019

Strong internal business process modeling and management helps data-driven organizations compete and lead. The Value of Internal Business Process Modeling. The complexity of modern data-driven organizations requires processes to work in tandem to create and sustain value. Carpe Process.

Modeling 101

Modeling Cost-Benefit Data-driven Data Governance 101

CIO Business Intelligence

MARCH 7, 2023

CIOs should consider technologies that promote their hybrid working models to replace in-person meetings. Align data science and data governance programs Remember when infosec was brought in at the end of the application development process and had little time and opportunity to address issues?

Digital Transformation 145

Digital Transformation Data Governance Machine Learning Experimentation 145

CIO Business Intelligence

NOVEMBER 16, 2022

So end to end, our strategic priority has stood the test of time. The right governance around that product data has to be in place too so it can be used throughout the full product lifecycle. That’s how data governance is critical to our organization and analytics are a way to unlock value.

IT 133

IT Modeling Digital Transformation Data Governance 133

Cloudera

MARCH 9, 2021

In this blog, we’ll highlight the key CDP aspects that provide data governance and lineage and show how they can be extended to incorporate metadata for non-CDP systems from across the enterprise. Extending Atlas’ metadata model. Sketch of the end-to-end data pipeline. e prod <-- environment (prod|pre-prod|test). -c

Data Governance 97

Data Governance Metadata Enterprise Data Processing 97

CIO Business Intelligence

MARCH 19, 2025

Yet, while businesses increasingly rely on data-driven decision-making, the role of chief data officers (CDOs) in sustainability remains underdeveloped and underutilized. However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive.

IT 59

IT Data Governance Data-driven Metrics 59

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. Will the model correctly determine it is a muffin or get confused and think it is a chihuahua? The extent to which we can predict how the model will classify an image given a change input (e.g. Model Visibility.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

CIO Business Intelligence

SEPTEMBER 20, 2023

Lat year was about execution at the corporate level because there were many things we had to test before taking them to various countries. This is a strategy of some complexity, based on three pillars: digitalization, insurance platform as a service, and data. The third pillar of our strategy is data.

Modeling 98

Modeling Insurance IT Cost-Benefit 98

CIO Business Intelligence

AUGUST 16, 2023

ChatGPT is capable of doing many of these tasks, but the custom support chatbot is using another model called text-embedding-ada-002, another generative AI model from OpenAI, specifically designed to work with embeddings—a type of database specifically designed to feed data into large language models (LLM).

Modeling 98

Modeling Enterprise Cost-Benefit Data Science 98

CIO Business Intelligence

FEBRUARY 2, 2024

Developer, Professional Certification Mastering Data Management and Technology SAP Certified Application Associate – SAP Master Data Governance The Art of Service Master Data Management Certification The Art of Service Master Data Management Complete Certification Kit validates the candidate’s knowledge of specific methods, models, and tools in MDM.

Management 116

Management Data Governance Cost-Benefit Testing 116

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. Can you have proper data management without establishing a formal data governance program?

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

CIO Business Intelligence

JUNE 4, 2024

On the pro-code front, Andreas Welsch, VP and head of AI marketing, said in an interview that SAP is leveraging its partnership with Nvidia to fine tune an LLM model on ABAP code. SAP Analytics Cloud will also, in the second half of the year, be able to connect to SQL data sources as live connections, eliminating the need to replicate data.

IT 122

IT Data Governance Business Objectives Visualization 122

DataKitchen

FEBRUARY 2, 2023

A combined, interoperable suite of tools for data team productivity, governance, and security for large and small data teams. As an analogy, the DevOps space has seen consolidation in code storage, CI/CD, team workflow, value stream management, testing, and other tools into one platform.

Metadata 130

Metadata Testing Data Science Risk 130

CIO Business Intelligence

JULY 22, 2024

By analyzing problem reports and test failures, AI can identify patterns and underlying issues that human operators might miss. Enterprises should use ethical frameworks to ensure that AI applications undergo rigorous testing and validation before being deployed in order to safeguard patient safety and data privacy.

Enterprise 126

Enterprise Testing Predictive Analytics Metrics 126