CIO Business Intelligence

JULY 17, 2024

Many governments have started to define laws and regulations to govern how AI impacts citizens with a focus on safety and privacy; IDC predicts that by 2028 60% of governments worldwide will adopt a risk management approach in framing their AI and generative AI policies ( IDC FutureScape: Worldwide National Government 2024 Predictions ).

Enterprise 105

Enterprise Consulting Risk Management Advertising 105

erwin

NOVEMBER 14, 2019

Data Governance Tools for Regulatory Compliance. In the United States, the Health Insurance Portability and Accountability Act (HIPAA) requires organizations in the healthcare space to protect the privacy and security of certain health information. Difference between GDPR and CCPA, and why you should expect CCPA to go national.

Data Governance 105

Data Governance Data-driven Cost-Benefit Metadata 105

erwin

APRIL 11, 2019

Keeping up with new data protection regulations can be difficult, and the latest – the General Data Protection Regulation (GDPR) – isn’t the only new data protection regulation organizations should be aware of. Compliance is an on-going requirement, so efforts to become compliant should not be treated as static events.

Insurance 100

Insurance Data-driven Data Governance Metadata 100

Smart Data Collective

DECEMBER 26, 2022

Ensure your Legal Compliance. Before prioritizing your threats, risks, and remedies, determine the rules and regulations that your company is obliged to follow. If you already know about compliance standards, understand how they affect your security solutions. Prioritize Your Risks and Assets. Network Security.

Strategy 137

Strategy Testing Risk Software 137

CIO Business Intelligence

MAY 11, 2022

CIAM is related to the well-known category of identity and access management (IAM) in that both solutions are designed to help organizations manage user identities as they access certain applications and data. The primary purpose of CIAM is to help organizations deliver a great experience to customers and to protect their user data.

Management 97

Management Data Processing Risk IoT 97

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

IBM Big Data Hub

MAY 28, 2024

It supports the same security measures as data security but also covers authentication, data backup, data storage and achieving regulatory compliance, as in the European Union’s General Data Protection Regulation (GDPR). Yet, as data becomes more valuable, it’s also becoming harder to protect.

Strategy 81

Strategy Measurement Risk Cost-Benefit 81

IBM Big Data Hub

FEBRUARY 23, 2024

The General Data Protection Regulation (GDPR), the European Union’s landmark data privacy law, took effect in 2018. Yet many organizations still struggle to meet compliance requirements, and EU data protection authorities do not hesitate to hand out penalties. Irish regulators hit Meta with a EUR 1.2 billion fine in 2023.

Measurement 74

Measurement Risk Data Collection Data Processing 74

AWS Big Data

MAY 16, 2023

Application log challenges: Data management and compliance Application logs are an essential component of any application; they provide valuable information about the usage and performance of the system. In this post, we explore the architecture and the benefits it provides for Zoom and its users.

Data Lake 101

Data Lake Cost-Benefit Optimization Testing 101

IBM Big Data Hub

APRIL 24, 2024

These are just some examples of how organizations support data privacy , the principle that people should have control of their personal data, including who can see it, who can collect it, and how it can be used. One cannot overstate the importance of data privacy for businesses today. The app heavily encrypts all user financial data.

Risk 78

Risk Measurement Data Governance Insurance 78

erwin

FEBRUARY 19, 2021

However, most organizations don’t use all the data at their disposal to reach deeper conclusions about how to drive revenue, achieve regulatory compliance or accomplish other strategic objectives. Is it sensitive or are there any risks associated with it? Metadata management is key to wringing all the value possible from data assets.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

Cloudera

AUGUST 25, 2021

COVID research is a great example of where sharing data and having large quantities of data to analyze would be beneficial to us all,” said Renee Dvir, solutions engineering manager at Cloudera. Regulations can complicate sharing, especially when laws on data privacy and security differ from one jurisdiction to another.

Data-driven 90

Data-driven Machine Learning Data Collection Risk 90

Cloudera

SEPTEMBER 10, 2024

Register for EVOLVE24 in Dubai (September 12, 2024) to hear from industry leaders on why hybrid solutions are essential for navigating an increasingly complex regulatory environment. While these scenarios are hypotheticals, the risk is real. A prominent global bank was thrust into the spotlight for all the wrong reasons.

Risk 52

Risk Testing Reporting Measurement 52

erwin

DECEMBER 12, 2019

Is it sensitive or are there any risks associated with it? Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But are these rampant and often uncontrolled projects to collect metadata properly motivated? What Is Metadata?

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

Alation

JUNE 7, 2021

As enterprises continue on their governance journeys, they’ve had to decide between the need to reduce risk versus the need to democratize data. Regulatory Risk versus Data Democratization. On the one hand, leaders worry about risk. Regulations like the GDPR, CCPA , and HIPAA mandate compliance of increasing complexity.

Data Governance 52

Data Governance Risk Metadata Enterprise 52

IBM Big Data Hub

OCTOBER 12, 2023

Ensuring compliance with governmental regulatory requirements as well as internal policies An AI model must be fully understood from every angle, inside and out—from what enterprise data is used and when , to how the model arrived at a certain output. Here’s what’s involved in making that happen.

Cost-Benefit 76

Cost-Benefit Metadata Data Governance Optimization 76

Alation

JULY 6, 2021

Data governance is often introduced as a potential solution. Add to that the pressure of complying with an endless alphabet soup of regulations, like the GDPR, HIPAA, SOX, and CCPA. Hefty fines penalize data consumers who violate privacy laws, like the GDPR. Mitigating data governance risks requires resources.

Data Governance 52

Data Governance Metadata Data Quality Risk 52

Alation

DECEMBER 8, 2022

As regulations grow more complex (and compliance fines more onerous) organizations aren’t just adapting data governance frameworks to drive compliance – they’re leveraging governance to fuel a growing range of use cases, from collaboration to stewardship, discovery, and more. Data governance is growing in urgency and prominence.

Data Governance 52

Data Governance Data-driven Reporting Strategy 52

Octopai

DECEMBER 11, 2022

great compliance regulations. But when entities with great power neglect their responsibility, they inevitably get slapped with compliance regulations designed to force responsibility. . Banks didn’t accurately assess their credit and operational risk and hold enough capital reserves, leading to the Great Recession of 2008-2009.

Insurance 52

Insurance Risk Metadata Reporting 52

Alation

OCTOBER 4, 2022

Actuaries and their mathematical models enable insurers to calculate risk to determine premiums. Today, the rise of digital insurance companies and the changing risk landscape together drive the industry’s digital transformation. For these reasons, insurers are adopting data governance solutions for a range of use cases.

Insurance 52

Insurance Data Governance Risk Strategy 52

Domino Data Lab

APRIL 3, 2019

Let’s take a look at the results for one survey question in particular, “Which solutions is your organization currently building or evaluating?”. Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. Consider: what impact does ML have on DG and vice versa?

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

Alation

OCTOBER 5, 2021

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Answers will differ widely depending upon a business’ industry and strategy for growth. What does success look like?

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

Insight

APRIL 16, 2019

While this model fuels many of today’s businesses on the internet, it comes with a significant tradeoff: an unprecedented amount of user data has been stock piled and is at risk of being exposed through security breaches. This free, full-time, 7 week fellowship based in San Francisco will start in September 2019.

Machine Learning 68

Machine Learning Software Risk Reporting 68

AWS Big Data

JANUARY 31, 2023

In addition, data governance is required to comply with an increasingly complex regulatory environment with data privacy (such as GDPR and CCPA) and data residency regulations (such as in the EU, Russia, and China).

Data Lake 98

Data Lake Data Governance Data Architecture Machine Learning 98

Alation

OCTOBER 28, 2021

Leaders in healthcare seek to improve patient outcomes, meet changing business models (including value-based care ), and ensure compliance while creating better experiences. Yet this is not without risks. Data governance in healthcare has emerged as a solution to these challenges. How can data help change how care is delivered?

Data Governance 52

Data Governance Measurement Data Quality Metrics 52

Laminar Security

DECEMBER 1, 2023

As more organizations migrate their data to the cloud, they face an increasing range of risks and threats, including data breaches, data leakage, data loss, data misuse, data compliance violations, shadow data and more. As the quantity of shadow data grows, so does the potential risk for a data breach.

Modeling 52

Modeling Cost-Benefit Risk Data-driven 52

Alation

AUGUST 26, 2021

Privacy, Risk and Compliance. These questions are: Who is using what data? Where is data, and where did it come from (lineage and provenance)? When is data being accessed, and when was it last updated? Why do we have data? Why do we need to keep (or discard) data? How is data being used, or – how should data be used?

Metadata 64

Metadata Data Governance Dashboards Software 64

Alation

NOVEMBER 11, 2021

This framework maintains compliance and democratizes data. Active data governance improves efficiency, minimizes security risks, and improves the quality and usability of data. This is mostly due to cost-saving and data sharing benefits. As IT leaders oversee migration, it’s critical they do not overlook data governance.

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

Alation

NOVEMBER 16, 2021

Today, companies face pressure to comply with numerous regulations, like the GDPR, HIPAA, SOX, and CCPA. Organizations are trying to balance dual objectives of risk mitigation and rapid growth. Data Governance is growing essential. However, architectural needs further complicate their ability to comply.

Data Governance 52

Data Governance Insurance Risk Data-driven 52

erwin

NOVEMBER 14, 2019

Data Governance Tools for Regulatory Compliance. In the United States, the Health Insurance Portability and Accountability Act (HIPAA) requires organizations in the healthcare space to protect the privacy and security of certain health information. Difference between GDPR and CCPA, and why you should expect CCPA to go national.

Data Governance 40

Data Governance Data-driven Cost-Benefit Metadata 40

erwin

DECEMBER 12, 2019

Is it sensitive or are there any risks associated with it? Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But are these rampant and often uncontrolled projects to collect metadata properly motivated? What Is Metadata?

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Octopai

APRIL 18, 2022

How does risk change the valuation? IFRS insurance compliance will require you to calculate the contractual service margin (CSM) using all the risk-adjusted, discounted, future cash flows of the contract. How can you keep up with the times, effectively use data in insurance and stay competitive for the future?

Insurance 52

Insurance Risk Cost-Benefit Reporting 52

Alation

AUGUST 5, 2021

And in more highly regulated industries, bad data can result in the company receiving fines for improper financial or regulatory compliance reporting. And in more highly regulated industries, bad data can result in the company receiving fines for improper financial or regulatory compliance reporting. Completeness. Consistency.

Data Quality 52

Data Quality IT Data Governance Sales 52

Alation

MAY 12, 2022

But without the right data practices in place you run the risk of misusing data and missing opportunities. At the most basic level, data governance promotes behavioral compliance with respect to data. Or, rather, every successful company these days is run with a bias toward technology and data, especially in the manufacturing industry.

Manufacturing 52

Manufacturing Data Governance Cost-Benefit IoT 52

Smart Data Collective

OCTOBER 31, 2022

As the Internet of Things becomes increasingly instrumental in the workplace, company and consumer data risk grow. Depending on your company’s location, industry, and function, cybersecurity regulatory compliance is a must. What Is Cybersecurity Regulatory Compliance?

Internet of Things 130

Internet of Things IoT Risk Insurance 130

Domino Data Lab

JULY 22, 2019

This blog post provides a concise session summary, a video, and a written transcript. Session Summary. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

IBM Big Data Hub

MAY 3, 2024

In November 2023, the California Privacy Protection Agency (CPPA) released a set of draft regulations on the use of artificial intelligence (AI) and automated decision-making technology (ADMT). The California Consumer Privacy Act (CCPA ), California’s landmark data privacy law, did not originally address the use of ADMT directly.

Technology 65

Technology Advertising Risk Interactive 65