IBM Big Data Hub

JUNE 26, 2023

This is especially true in highly regulated industries such as financial services and healthcare where the tolerance is very low for unethical, biased decisions based on incomplete or inaccurate data and models can have detrimental repercussions.

Retail 70

Retail Compliance Risk Education 70

erwin

FEBRUARY 7, 2019

Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. Metadata-Driven Automation in the BFSI Industry. The banking, financial services and insurance industry typically deals with higher data velocity and tighter regulations than most.

Metadata 96

Metadata Healthcare Insurance Financial Services 96

Collibra

AUGUST 14, 2023

Before you get too far into your AI journey, you’ll want to ensure your team is utilizing an AI governance framework, and that’s what I’ll focus on in this blog. If you’re in financial services, maybe you’re considering how to incorporate AI into fraud detection, or personalized customer service, denial explanations or financial reporting.

Government 52

Government Risk Financial Services Compliance 52

IBM Big Data Hub

JULY 11, 2023

The anchor identity of the device along with metadata about the device itself, data about its locatio , and transactions made on its own behalf is its own unit of value. Vertical data platforms owned and operated by telcos and targeting a specific industry such as automotive, agriculture or financial services already exist today.

IoT 54

IoT Artificial Intelligence Agriculture Blockchain 54

eSecurity Planet

AUGUST 10, 2023

It is a top provider of historical threat data, offering both current and historical metadata on IP addresses, domains, and other IoCs. But other features, like contextualized historic metadata, specialized rulesets, and enriched log data are all helpful for better security response and mitigation strategies. Free trial available.

Cybersecurity 72

Cybersecurity Access Metadata Energy and Utilities 72

IBM Big Data Hub

FEBRUARY 14, 2024

Deliver new insights Expert systems can be trained on a corpus—metadata used to train a machine learning model—to emulate the human decision-making process and apply this expertise to solve complex problems. Explore IBM® watsonx.ai™ The post The most valuable AI use cases for business appeared first on IBM Blog.

Artificial Intelligence 87

Artificial Intelligence Retail Unstructured data Insurance 87

erwin

DECEMBER 17, 2020

The same is true for data, with a number of vendors creating data models by vertical industry (financial services, healthcare, etc.) It automatically consumes, integrates and maintains CDM metadata in a standardized, reusable design and supports logical and physical modeling and integration with all major DBMS technologies.

Metadata 90

Metadata Analytics Government Financial Services 90

Collibra

OCTOBER 31, 2023

With every financial services organization focused on making better and faster decisions, data professional and business leaders are eager to better understand how AI can facilitate their strategic goals. Financial services orgs, especially those in capital markets, frequently has been on the forefront of generative AI investment.

Marketing 87

Marketing Government Financial Services Artificial Intelligence 87

erwin

MARCH 18, 2021

The role of chief data officer (CDO) is becoming essential at forward-thinking organizations — especially those in financial services — according to “ The Evolving Role of the CDO at Financial Organizations: 2021 Chief Data Officer (CDO) Study ” just released by FIMA and sponsored by erwin. Manual processes remain.

Metadata 82

Metadata Compliance Government Financial Services 82

erwin

MARCH 18, 2021

The role of chief data officer (CDO) is becoming essential at forward-thinking organizations — especially those in financial services — according to “ The Evolving Role of the CDO at Financial Organizations: 2021 Chief Data Officer (CDO) Study ” just released by FIMA and sponsored by erwin. Manual processes remain.

Metadata 64

Metadata Compliance Government Financial Services 64

IBM Big Data Hub

FEBRUARY 8, 2023

Organizations in highly regulated markets such as healthcare, government and financial services have additional challenges in meeting industry regulations around data and models. Automate the capture of model metadata and increase predictive accuracy to identify how AI is used and where models need to be reworked.

Artificial Intelligence 52

Artificial Intelligence Compliance Analytics Government 52

erwin

SEPTEMBER 25, 2020

Data modeling is a critical component of metadata management , data governance and data intelligence. erwin Data Modeler (erwin DM ) is an award-winning data modeling tool used by Fortune 500 companies, including some of the world’s leading financial services, healthcare, critical infrastructure and technology firms.

Data structuring 111

Data structuring Cloud Metadata Financial Services 111

erwin

NOVEMBER 14, 2019

Other highly regulated industries, like financial services, also face strict data privacy mandates, including those from the Basel Committee on Banking Supervision (BCBS) and the Financial Industry Regulatory Authority (FINRA). Of course, metadata management is at the heart of any data governance initiative.

Government 105

Government Data breaches Metadata GDPR 105

erwin

NOVEMBER 14, 2019

Other highly regulated industries, like financial services, also face strict data privacy mandates, including those from the Basel Committee on Banking Supervision (BCBS) and the Financial Industry Regulatory Authority (FINRA). Of course, metadata management is at the heart of any data governance initiative.

Government 40

Government Data breaches Metadata GDPR 40