IBM Big Data Hub

APRIL 11, 2024

In An Overview of Catastrophic AI Risks , the authors identify several mitigations that can be addressed through governance and regulation (in addition to cybersecurity). They identify international coordination and safety regulation as critical to preventing risks related to an “AI race.”

Risk 78

Risk Consulting Modeling Data Processing 78

IBM Big Data Hub

JANUARY 9, 2024

Companies still often accept the risk of using internal data when exploring large language models (LLMs) because this contextual data is what enables LLMs to change from general-purpose to domain-specific knowledge. Data ingestion must be done properly from the start, as mishandling it can lead to a host of new issues.

Enterprise 80

Enterprise Data Integration Data Quality Contextual Data 80

IBM Big Data Hub

FEBRUARY 26, 2024

Download the Gartner® Market Guide for Active Metadata Management 1. Efficient cloud migrations McKinsey predicts that $8 out of every $10 for IT hosting will go toward the cloud by 2024. With data lineage, every object in the migrated system is mapped and dependencies are documented.

Cost-Benefit 101

Cost-Benefit Metadata Data Governance Reporting 101

erwin

AUGUST 28, 2020

Put simply, DG is about maximizing the potential of an organization’s data and minimizing the risk. Organizations with a effectively governed data enjoy: Better alignment with data regulations: Get a more holistic understanding of your data and any associated risks, plus improve data privacy and security through better data cataloging.

Data Governance 145

Data Governance IT Cost-Benefit Metadata 145

AWS Big Data

JANUARY 22, 2024

Data as a product Treating data as a product entails three key components: the data itself, the metadata, and the associated code and infrastructure. For orchestration, they use the AWS Cloud Development Kit (AWS CDK) for infrastructure as code (IaC) and AWS Glue Data Catalogs for metadata management.

Data-driven 82

Data-driven Advertising Metadata Data Architecture 82

CIO Business Intelligence

JANUARY 30, 2024

“Always the gatekeepers of much of the data necessary for ESG reporting, CIOs are finding that companies are even more dependent on them,” says Nancy Mentesana, ESG executive director at Labrador US, a global communications firm focused on corporate disclosure documents. The complexity is at a much higher level.”

Reporting 108

Reporting Data Quality Strategy Data-driven 108

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. One of the longer-term trends that we’re seeing with Airflow , and so on, is to externalize graph-based metadata and leverage it beyond the lifecycle of a single SQL query, making our workflows smarter and more robust. BTW, videos for Rev2 are up: [link].

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Cloudera

JANUARY 21, 2021

Of course you don’t want to re-create the risks and costs of data silos your organization has spent the last decade trying to eliminate. You also do not want to risk your company-wide cloud consumption costs snowballing out of control. But – you need those mission critical analytics services, and you need them now!

Data Lake 93

Data Lake Data Warehouse IT Analytics 93

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. I would have to admit that there are few documents that talk about all the connections across any set of topics. So, I hear you say, let’s share metadata and make the data self-describing. – Yes and no.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Alation

JULY 6, 2021

A person or team with influence must take responsibility for reducing data governance risks. Mitigating data governance risks requires resources. Machine learning plays a key role, as it can increase the speed and accuracy of metadata capture and categorization. This empowers better decision-making and reduces risk.

Data Governance 52

Data Governance Metadata Data Quality Risk 52

Jet Global

FEBRUARY 23, 2024

An on-premise solution provides a high level of control and customization as it is hosted and managed within the organization’s physical infrastructure, but it can be expensive to set up and maintain. An organization may choose on-premise migration or cloud migration, depending on its needs.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

MAY 1, 2023

CEO Priorities Grow revenue and “hit the number” Manage costs and meet profitability goals Attract and retain talent Innovate and out-perform the competition Manage risk Connect the Dots Present embedded analytics as a way to differentiate from the competition and increase revenue. Present your business case.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52