Ontotext

APRIL 27, 2023

On site at the EBU’s Data Technology Seminar In today’s digital age, access to information is considered a basic human right, and the ease of finding information has never been greater. However, the ease of access to information has also increased the risk of disinformation, which can have serious consequences.

Technology 52

Technology Metadata Broadcasting Visualization 52

CIO Business Intelligence

MARCH 18, 2024

In a reversal of its previous stance , The Ministry of Electronics and Information Technology (MeitY) issued a fresh advisory on March 15, abandoning a requirement mandating government approval for AI models under development. I think regulations are needed, especially considering this technology’s impact on people.

Metadata 74

Metadata Visualization Modeling Risk 74

CIO Business Intelligence

MARCH 24, 2023

It encompasses the people, processes, and technologies required to manage and protect data assets. The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Ontotext

OCTOBER 11, 2023

These delved deep into the transformative potential of Large Language Models (LLMs) and the need for semantic technologies to ensure high-quality training data for these models. Krasimira showcased how knowledge graphs, combined with semantic metadata , enhance LLMs for better content discovery, understanding, and question-answering.

Metadata 69

Metadata Cost-Benefit Marketing Modeling 69

CIO Business Intelligence

MAY 10, 2023

As companies open this “pandora’s box” of new capabilities, they must be prepared to manage data inputs and outputs in secure ways or risk allowing their private data to be consumed in public AI models. As technology evolves, this function will allow for a company’s specific lexicon to be accounted for and processed through an AI platform.

Metadata 97

Metadata Data Governance Modeling Technology 97

Rocket-Powered Data Science

FEBRUARY 15, 2023

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. 3) How do we get started, when, who will be involved, and what are the targeted benefits, results, outcomes, and consequences (including risks)?

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

IBM Big Data Hub

DECEMBER 4, 2023

In a new case study featuring IBM, Gartner talks about how to establish a governance framework to streamline the process of detecting and managing technology ethics concerns in AI projects. The Board recently published its point of view on foundation models addressing the risks that generative AI poses. All rights reserved.

Consulting 79

Consulting Risk Metadata Risk Management 79

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. Those businesses that decide to adopt AI technology will have an immense advantage, according to 72% of decision-makers. It is an imperative.

Metadata 100

Metadata Risk Risk Management Experimentation 100

Ontotext

MAY 2, 2024

They are expected to understand the entire data landscape and generate business-moving insights while facing the voracious needs of different teams and the constraints of technology architecture and compliance. Data-centric approach In the data-centric approach, metadata serves as a layer of interoperability between the data sources.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

IBM Big Data Hub

MAY 9, 2023

Today, AI presents an enormous opportunity to turn data into insights and actions, to help amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. While the promise of AI isn’t guaranteed and may not come easy, adoption is no longer a choice. It is an imperative.

Metadata 75

Metadata Risk Experimentation Dashboards 75

CIO Business Intelligence

FEBRUARY 20, 2024

It’s one where near real-time data flows seamlessly between IT and operational technology (OT) systems. In this way, manufacturers would be able to reduce risk, increase resilience and agility, boost productivity, and minimise their environmental footprint.

Data Architecture 84

Data Architecture Unstructured Data Manufacturing IT 84

erwin

MARCH 30, 2020

Unraveling Data Complexities with Metadata Management. Metadata management will be critical to the process for cataloging data via automated scans. Essentially, metadata management is the administration of data that describes other data, with an emphasis on associations and lineage. Data lineage to support impact analysis.

Metadata 122

Metadata IT Data Governance Data Quality 122

erwin

MAY 31, 2019

I’m not saying that enterprise architects only worry about business structure and high-level processes without regard for business needs, information requirements, data processes, and technology changes necessary to execute strategy. When it comes to technology and governance strategies , policies and standards, data should be at the center.

Data-driven 104

Data-driven Enterprise Metadata Strategy 104

erwin

OCTOBER 8, 2020

And you can’t risk false starts or delayed ROI that reduces the confidence of the business and taint this transformational initiative. The desire to modernize technology, over time, leads to acquiring many different systems with various data entry points and transformation rules for data as it moves into and across the organization.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

erwin

JULY 12, 2019

It also helps enterprises put these strategic capabilities into action by: Understanding their business, technology and data architectures and their inter-relationships, aligning them with their goals and defining the people, processes and technologies required to achieve compliance. Five Steps to GDPR/CCPA Compliance.

Data Governance 110

Data Governance Management Metadata Risk Management 110

IBM Big Data Hub

APRIL 20, 2023

When consumers lose trust in a bank’s ability to manage risk, the system stops working. Banks and their employees place trust in their risk models to help ensure the bank maintains liquidity even in the worst of times. We’ve seen what follows—financial crises, bailouts, destruction of capital, and losses of jobs.

Risk 71

Risk Risk Management Reporting Metadata 71

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. And there’s control of that landscape to facilitate insight and collaboration and limit risk.

Data Governance 40

Data Governance Risk Metadata Management 40

CIO Business Intelligence

APRIL 29, 2022

As someone who is passionate about the transformative power of technology, it is fascinating to see intelligent computing – in all its various guises – bridge the schism between fantasy and reality. The excitement is palpable. This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Establishing a Data Foundation.

Data Governance 144

Data Governance IT Risk Data Lake 144

erwin

OCTOBER 31, 2019

While sometimes at rest in databases, data lakes and data warehouses; a large percentage is federated and integrated across the enterprise, introducing governance, manageability and risk issues that must be managed. So being prepared means you can minimize your risk exposure and the damage to your reputation. No Hocus Pocus.

Data Governance 105

Data Governance Metadata Risk Data Lake 105

CIO Business Intelligence

NOVEMBER 22, 2022

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. The fabric, especially at the active metadata level, is important, Saibene notes.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

O'Reilly on Data

JANUARY 8, 2019

We are also seeing more training programs aimed at executives and decision makers , who need to understand how these new ML technologies can impact their current operations and products. Data engineers and data scientists are beginning to use new cloud technologies, like serverless, for some of their tasks.

IoT 204

IoT Machine Learning Internet of Things Data Science 204

IBM Big Data Hub

JUNE 26, 2023

Each organization must balance opportunities for value creation with the risks involved. Depending on the business and the use case, if tolerance for risk is low, organizations will find that either building in house or working with a trusted partner will yield better results. What is watsonx.governance?

Risk 68

Risk Deep Learning Metadata Modeling 68

erwin

APRIL 2, 2021

With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. Lack of a solid data governance foundation increases the risk of data-security incidents. Is it sensitive data or are there any risks associated with it?

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Digital Transformation is not without Risk.

Analytics 107

Analytics Digital Transformation Risk Forecasting 107

CIO Business Intelligence

DECEMBER 13, 2023

After all, we in the information management and technology industry have talked at length about unstructured data since “Big Data” was big news more than a decade ago. and applying and enriching metadata helps organizations take a big step toward innovating with generative AI. What’s different now?

Unstructured Data 96

Unstructured Data IoT Metadata Manufacturing 96

CIO Business Intelligence

AUGUST 7, 2023

The potential risks that come with moving data into the cloud when it had spent its entire life on highly secure, on-premise systems can open an organization up to new, previously unknown vulnerabilities. With human involvement reduced, IT teams can reduce strain and eliminate or mitigate the risk of human error within data flow.

Metadata 79

Metadata Risk Software Enterprise 79

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. internal metadata, industry ontologies, etc.) names, locations, brands, industry codes, etc.)

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

erwin

APRIL 29, 2020

Many large organizations, in their desire to modernize with technology, have acquired several different systems with various data entry points and transformation rules for data as it moves into and across the organization. Join us for the next live demo of erwin Data Intelligence (DI) to see metadata-driven, automated data lineage in action.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

In(tegrate) the Clouds

DECEMBER 21, 2015

I enjoy the end of the year technology predictions, even though it’s hard to argue with this tweet from Merv Adrian: By 2016, 99% of readers will be utterly sick of predictions. What are the biggest risks for software vendors in 2016? What are the biggest risks for software buyers in 2016? I can’t help it.

Technology 45

Technology Internet of Things Digital Transformation Software 45

erwin

SEPTEMBER 10, 2020

Yet given this era of digital transformation and fierce competition, understanding what data you have, where it came from, how it’s changed since creation or acquisition, and whether it poses any risks is paramount to optimizing its value. The risks of ignoring end-to-end data lineage are just too great. Who are the data owners?

Data Governance 131

Data Governance Key Performance Indicator Digital Transformation Metadata 131

erwin

JANUARY 30, 2020

However, more than 50 percent say they have deployed metadata management, data analytics, and data quality solutions. erwin Named a Leader in Gartner 2019 Metadata Management Magic Quadrant. Cross-platform support of scripting languages and data movement technologies. Most have only data governance operations.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

DataKitchen

JANUARY 5, 2021

Data Governance/Catalog (Metadata management) Workflow – Alation, Collibra, Wikis. Tools affect their risk tolerance. Instead of allowing technology to be a barrier to teamwork, leading data organizations rely explicitly on automation of workflows to improve and facilitate communication and coordination between the groups.

Testing 147

Testing Data Governance Metadata Visualization 147

CIO Business Intelligence

FEBRUARY 14, 2024

Just as a balanced diet fortifies the body, a robust and modern IT infrastructure lays the groundwork for AI and other advanced technologies to flourish.” People aren’t going back and decluttering because there’s no cost to that — except in your risk profile and your decreased search performance,” says Buckley.

IT 142

IT Metadata Data-driven Management 142

erwin

NOVEMBER 13, 2020

Data Security & Risk Management. As we move into recovery mode, organizations are assessing the processes, systems and technologies that will help them assimilate to the new normal and thrive post-pandemic. Technology (addressing business and operation systems, the assets, resources and the business). Digital Transformation.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

erwin

MAY 20, 2020

Where crisis leads to vulnerability, data governance as an emergency service enables organization management to direct or redirect efforts to ensure activities continue and risks are mitigated. These issues can be addressed with a comprehensive data governance strategy and technology to: Determine master data sets. Discover risks.

Data Governance 144

Data Governance Metadata Risk Strategy 144

erwin

JANUARY 24, 2019

In data governance terms, an automation framework refers to a metadata-driven universal code generator that works hand in hand with enterprise data mapping for: Pre-ETL enterprise data mapping. Governing metadata. The 100-percent metadata-driven approach is critical to creating reliable and consistent CATs.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

CIO Business Intelligence

APRIL 19, 2022

The European Union wishes to mitigate dependence and the risk of foreign access to critical data, also considering that cloud is the powerhouse of AI, and other essential technology. The amount of metadata that cloud providers are collecting is much greater than people realise. 5 recommendations for sovereign cloud.

Metadata 58

Metadata Risk Data-driven Strategy 58