Collibra

DECEMBER 19, 2023

For data leaders, data scientists, and data stewards, the demand for AI applications has created a slew of related challenges. Regulatory compliance, ethical considerations and data privacy have all become critical to the success of enterprise AI. But the most-essential principle of AI data governance is trusted data.

Government 52

Government Risk Compliance Privacy 52

Collibra

JUNE 2, 2022

Since AI relies heavily on data, the integrity and quality of the underlying data upon which AI models are trained is critical to ensure accuracy and remove the risk of model bias and opacity. Training data can fast become a problem without proper controls in place.

Government 52

Government Cloud Data science Metadata 52

Collibra

FEBRUARY 16, 2022

Data governance is the practice of managing and organizing data and processes to enable collaboration and compliant access to data. Data governance allows users to create value from data assets even under constraints for security and privacy. No , you can’t use the data for that .

Government 52

Government IT Compliance Privacy 52

IBM Big Data Hub

OCTOBER 16, 2023

This is where AI governance comes into play: addressing these potential and inevitable problems of adoption. AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML).

Government 76

Government Risk Artificial Intelligence Metadata 76

Collibra

JUNE 27, 2023

Many operate highly complex data ecosystems with large volumes of data spread across on-prem, hybrid, and multi-cloud environments. 1) How can institutions of higher education use data to start making strategic decisions? 1) How can institutions of higher education use data to start making strategic decisions?

Education 74

Education Cloud Digital transformation Data science 74

IBM Big Data Hub

SEPTEMBER 20, 2022

Alongside the significant brand reputation risk, there’s also a growing set of data and AI regulations across the world and across industries — like the upcoming European Union AI Act — that companies must adhere to. How do you accommodate for drifting data patterns? How a data fabric enables trustworthy AI. Is it scalable?

Data science 57

Data science Metadata Government Access 57

John Battelle's Searchblog

JANUARY 25, 2019

Sovrn , a company I still chair, has a similar mission, but with a serious data and tech focus. My current work is split between two projects: One has to do with data governance, the other political media. First, Data. Big data, data breaches, data mining, data science…Today, we’re all about the data.

Government 92

Government IT Marketing ROT 92

IBM Big Data Hub

JANUARY 5, 2023

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

Metadata 52

Metadata Analytics Big data Unstructured data 52

Collibra

NOVEMBER 23, 2022

To find, understand, and trust the data within your enterprise, it is essential to have sound data intelligence practices. The organization may rely on these practices to enable the end users to utilize data effectively. Our Collibra Data Office used our own Collibra Data Intelligence Assessment to do just that.

Analytics 94

Analytics Data science Government Marketing 94

Collibra

DECEMBER 22, 2022

The world is driven by data. But most of the time we don’t even think about how complex our data systems are. Most of the time, we never think about if the data is correct. We can’t see the complex data science and data engineering that’s driving these experiences. The problem with bad data.

Analytics 52

Analytics Data science Government Marketing 52

CGI

MAY 16, 2018

Not your granddad’s government data sharing: learning from user-centric design. Government agencies collect, analyze and disseminate a large volume of data. But for many agencies, methods for publishing data for public consumption haven’t changed very much. Thu, 05/17/2018 - 01:14.

Government 40

Government Data science Analytics Access 40

IBM Big Data Hub

OCTOBER 16, 2023

Examples of AI bias in the real world show us that when discriminatory data and algorithms are baked into AI models, the models deploy biases at scale and amplify the resulting negative effects. Bias can be found in the initial training data, the algorithm, or the predictions the algorithm produces.

Artificial Intelligence 75

Artificial Intelligence Government Data science Data collection 75

IBM Big Data Hub

MAY 8, 2023

Technological risk—data confidentiality The chief technological risk is the matter of data confidentiality. The advent of generative AI , where the AI manipulates your data to create new content, provides an additional risk to corporate data confidentiality.

Insurance 73

Insurance Risk Artificial Intelligence Government 73

The Last Watchdog

JUNE 4, 2019

Within these government labs and agencies, taking place is a groundswell of innovation in deep technology cyber disciplines to the tune of billions of dollars annually over the past three decades. The state counts approximately 109,000 cyber engineers. Two notable examples are Sourcefire, acquired by Cisco for $2.7B

Cybersecurity 193

Cybersecurity Computer and Electronics Data science Marketing 193

Collibra

APRIL 9, 2021

Recapping a discussion moderated by Stijn Christiaens and featuring insurance data experts from Deloitte UK . Insurance is a data-intensive business. Insurance companies need data to better assess risks and price policies competitively, but also profitably. Data governance holds key to cloud migration.

Insurance 59

Insurance Cloud Data science Analytics 59

IT Governance

NOVEMBER 18, 2021

With up to 82% of UK job roles requiring digital skills , the UK government has long recognised the need to support the growth of digital careers at all stages. This pipeline should include hiring and training new staff who may not have a STEM (science, technology, engineering and maths) background and developing existing employees’ skills.

Data science 111

Data science Cloud Government IT 111

erwin

JUNE 11, 2020

What Is Data Intelligence? Data Intelligence is the analysis of multifaceted data to be used by companies to improve products and services offered and better support investments and business strategies in place. Data intelligence can encompass both internal and external business data and information. Healthcare.

Analytics 103

Analytics Blockchain Artificial Intelligence Big data 103

IBM Big Data Hub

DECEMBER 20, 2023

Whether it’s deeper data analysis, optimization of business processes or improved customer experiences , having a well-defined purpose and plan will ensure that the adoption of AI aligns with the broader business goals. Establish a data governance framework to manage data effectively.

Artificial Intelligence 78

Artificial Intelligence Customer Experience Cloud Government 78

eSecurity Planet

JULY 16, 2021

Despite all the cybersecurity defenses in enterprises, the human element matters the most, as phishing attacks remain the top avenue of incursion, accounting for more than 85% of all breaches, according to the annual Verizon Data Breach Investigations Report. That’s where incident response software and services come in.

Analytics 104

Analytics Data science Cloud Artificial Intelligence 104

Security Affairs

AUGUST 18, 2020

“Investigations of this kind are primarily conducted by Binance’s internal risk intelligence unit known as Binance Sentry as well as an analytics arm, the Security Data Science division.” The post Ukraine police and Binance dismantled a cyber gang behind $42M money laundering appeared first on Security Affairs.

Computer and Electronics 106

Computer and Electronics Digital transformation Data science Blockchain 106

eSecurity Planet

DECEMBER 15, 2022

Unlike most other AI research projects, ChatGPT has captivated the interest of ordinary people who do not have PhDs in data science. ChatGPT Security Threats. Phishing accounts for nearly 90% of malware attacks, according to HP Wolf Security research. In a week, the app gained more than one million users.

Cybersecurity 140

Cybersecurity Phishing Data science Blockchain 140

eSecurity Planet

MAY 27, 2021

A report this month from the Government Accountability Office (GAO) found that the number of companies seeking cyber insurance coverage has steadily risen since 2016 and that insurers are increasing the prices of their policies and lowering their coverage limits as the number of cyberattacks rise. How secure is their architecture?

Insurance 128

Insurance Ransomware Risk Data science 128

IBM Big Data Hub

OCTOBER 3, 2022

A large North American healthcare organization uses AI-infused data fabric architecture to help them identify vulnerable members who can benefit from timely intervention. What’s a data fabric and how is it different from a data mesh? . Organizations need to be able to trust their data science outcomes.

Risk 52

Risk Data science Insurance Cloud 52

The Security Ledger

APRIL 16, 2021

. » Related Stories Episode 206: What Might A Federal Data Privacy Law Mean In the US? In just the last two weeks, three of the world’s most prominent social networks have been linked to stories about data leaks. To discuss these issues and more, we invited Andrew Sellers into the Security Ledger studios.

IT 52

IT Data science Data Privacy Sales 52

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Marketing 51

Marketing Data science e-Discovery Artificial Intelligence 51

IBM Big Data Hub

AUGUST 7, 2023

Failure to share data and results from randomized clinical trials means a missed opportunity to contribute to systematic reviews and meta-analyses as well as a lack of lesson-sharing with the biopharma community. AI can also empower trial managers and executives with the data to make strategic decisions.

Healthcare 59

Healthcare Artificial Intelligence Data science Compliance 59

Collibra

JUNE 1, 2022

Collibra Adaptive Data and Analytics Governance is available for a free test drive! The foundation of a data-driven organization. Data is more valuable than ever. The key is adaptive data and analytics governance. At Collibra, we believe it’s the next big step forward in data governance. .

Analytics 76

Analytics Government Compliance Metadata 76

Adam Shostack

MAY 20, 2020

The US Government has some interesting advantages: a large collection of attractive targets, a mandate that all CFO agencies have a security process, published investments in security, a large and skilled incident response force. That would be exciting and actionable.

Mining 49

Mining Government Phishing Cloud 49

ARMA International

SEPTEMBER 13, 2021

Some technology trends such as real-time data analytics are on-going, while others are more recent, such as blockchain. Information and data are synonyms but have different definitions. ARMA defines information as “Data that has been given value through analysis, interpretation, or compilation in a meaningful form” (ARMA 2016, p 28).

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

eSecurity Planet

DECEMBER 19, 2023

We each need to consider how these trends may affect our organizations and allocate our budgets and resources accordingly: AI will turbo-charge cybersecurity and cyberthreats: Artificial intelligence (AI) will boost both attackers and defenders while causing governance issues and learning pains.

Cybersecurity 139

Cybersecurity Cloud Ransomware Risk 139

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.

Metadata 67

Metadata MDM Analytics Compliance 67

eDiscovery Daily

FEBRUARY 4, 2020

There are several interesting sessions today related to eDiscovery, Information Governance, Cybersecurity and Data Privacy. 11:00am – 12:00pm: Mobile Data: Issues in Data Privacy and Data Protection. Have we lost the battles over data privacy and data protection with our data exposed for all to see?

e-Discovery 59

e-Discovery Data Privacy Blockchain Privacy 59

Schneier on Security

NOVEMBER 14, 2019

Or, more specifically, where and how should government step in and regulate what is largely a market-driven industry? They come from the social sciences and from computer science. They work in data science, or tech policy, or public-focused computer science. The concept isn't new, even if the phrase is.

Artificial Intelligence 86

Artificial Intelligence Data science Government Marketing 86

eSecurity Planet

OCTOBER 21, 2021

The attackers used the entry they gained into the companies to fan out into businesses and government agencies, stealing data and forcing some to have to temporarily shut down their operations, causing tens of millions of dollars in damages. Multi-party cyberattack data (source: Cyentia).

Security 112

Security Ransomware Risk Cybersecurity 112

IBM Big Data Hub

JULY 17, 2023

IBM software products are embedding watsonx capabilities across digital labor, IT automation, security, sustainability, and application modernization to help unlock new levels of business value for clients. “IBM’s launch of watsonx was an awakening, and it has inspired us to deliver unprecedented innovations for our clients.”

Analytics 66

Analytics Data science Cloud Metadata 66

IBM Big Data Hub

OCTOBER 20, 2023

AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually. AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models.

Data science 78

Data science Manufacturing Artificial Intelligence Retail 78

IBM Big Data Hub

JANUARY 17, 2023

A data lakehouse is an emerging data management architecture that improves efficiency and converges data warehouse and data lake capabilities driven by a need to improve efficiency and obtain critical insights faster. Let’s start with why data lakehouses are becoming increasingly important.

Metadata 52

Metadata Analytics Unstructured data Government 52