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

SEPTEMBER 20, 2022

Privacy: Are the right rules and policies in place for various people to access the data at different stages of the AI lifecycle? How do you accommodate for drifting data patterns? Comprehensive, trusted data sets. First things first: you need access and insight into all relevant data. Is it scalable?

Data science 56

Data science Metadata Government Access 56

Collibra

JUNE 27, 2023

1) How can institutions of higher education use data to start making strategic decisions? It allows the creation of a federated data marketplace for faster insights and supports popular business intelligence tools such as Tableau.

Education 74

Education Cloud Digital transformation Data science 74

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

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

MAY 8, 2023

For example, feeding a generative AI system such as Chat GPT with corporate data to produce a summary of confidential corporate research would mean that a data footprint would be indelibly left on the external cloud server of the AI and accessible to queries from competitors. Above all, put in a robust AI governance program.

Insurance 72

Insurance Risk Artificial Intelligence Government 72

Security Affairs

AUGUST 18, 2020

200 (Illegal actions with documents for transfer, payment cards and other means of access to bank accounts, electronic money, equipment for their production) and Part 2 of Article 209 (Legalization (laundering) of property obtained by criminal means) of the Criminal Code of Ukraine. .” ” reported the CoinTelegraph.

Computer and Electronics 109

Computer and Electronics Digital transformation Data science Blockchain 109

Collibra

APRIL 9, 2021

On that topic, I had the opportunity to speak on a webinar that brought together insurance data experts from Deloitte in the UK, and data and analytics leader Peter Jackson, who heads up group data sciences for Legal & General. Data governance holds key to cloud migration. Drivers for cloud adoption.

Insurance 59

Insurance Cloud Data science Analytics 59

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 117

Analytics Data science Cloud Artificial Intelligence 117

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. The Future.

Cybersecurity 145

Cybersecurity Phishing Data science Blockchain 145

IBM Big Data Hub

OCTOBER 16, 2023

For example, training data for a facial recognition algorithm that over-represents white people may create errors when attempting facial recognition for people of color. Similarly, security data that includes information gathered in geographic areas that are predominantly black could create racial bias in AI tools used by police.

Artificial Intelligence 72

Artificial Intelligence Government Data science Data collection 72

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Creating a data architecture roadmap.

Metadata 52

Metadata Analytics Big data Unstructured data 52

Collibra

DECEMBER 22, 2022

We can’t see the complex data science and data engineering that’s driving these experiences. We don’t really have any way of knowing if the data is correct. However, data professionals know the challenge to drive data quality continues — as do the risks. The problem with bad data. Enter observability.

Analytics 52

Analytics Data science Government Marketing 52

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 126

Insurance Ransomware Risk Data science 126

The Security Ledger

APRIL 16, 2021

As more and more online platforms open their doors to API-based access, do we need more rules and oversight of how APIs are used to prevent wanton abuse? » Related Stories Episode 206: What Might A Federal Data Privacy Law Mean In the US? And if it isn’t considered hacking…should it be? The post Episode 211: Scrapin’ ain’t.

IT 52

IT Data science Data Privacy Sales 52

IBM Big Data Hub

OCTOBER 3, 2022

And with good reason: it’s a lot of data to process effectively, and not all AI systems are created with the proper ethical guardrails in place. Organizations need to be able to trust their data science outcomes. An AI system, especially one with such an impact on healthcare, must be fair, explainable, secure and transparent.

Risk 52

Risk Data science Insurance Cloud 52

IBM Big Data Hub

DECEMBER 20, 2023

Read more about IBM’s AI Ethics governance framework Benefits of a successful AI strategy Building an AI strategy offers many benefits to organizations venturing into artificial intelligence integration. Establish a data governance framework to manage data effectively. Attain buy-in for the proposed roadmap.

Artificial Intelligence 75

Artificial Intelligence Customer Experience Cloud Government 75

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 49

Marketing Data science e-Discovery Analytics 49

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. What fraction of incidents have a discovered initial access method?

Mining 49

Mining Government Phishing Cloud 49

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 140

Cybersecurity Cloud Ransomware Risk 140

erwin

JUNE 11, 2020

How Business Benefits from Data Intelligence. Traditional business models and processes can be detrimental to today’s evolving data-driven society. Businesses are then introduced to modern data science and data intelligence tools to enhance and fine-tune their products and processes. Data quality management.

Analytics 103

Analytics Blockchain Artificial Intelligence Big data 103

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

ARMA International

SEPTEMBER 13, 2021

The memex was a hypothetical information-centric hypertext device that would permit people to access any information, regardless of where it was stored. This implies a cloud computing model that ARMA defines as “A model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g.,

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

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 120

Security Ransomware Risk Cybersecurity 120

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

Data science 75

Data science Manufacturing Artificial Intelligence Retail 75

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 66

Metadata MDM Analytics Compliance 66

Reltio

DECEMBER 10, 2021

“The Reltio MDM solution is part of the Connected Data Platform, which supports all data types in real time for operational, analytical, and data science use cases.”. Reltio scored well in matching, context, governance, business templates, deployment, security, and scalability.

MDM 98

MDM Analytics Digital transformation Cloud 98

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 65

Analytics Data science Cloud Metadata 65

IBM Big Data Hub

JANUARY 17, 2023

With the prohibitive costs of high-performance analytics solutions, such as cloud data warehouses, and performance challenges associated with legacy data lakes, neither data warehousing nor data lakes satisfy the need for analytical flexibility, cost-to-performance and manageability.

Metadata 52

Metadata Analytics Unstructured data Government 52

IBM Big Data Hub

FEBRUARY 22, 2024

Artificial intelligence (AI) is transforming society, including the very character of national security. The DoD can lay a sturdy foundation to accomplish this by improving AI literacy and partnering with trusted organizations to develop governance aligned to its strategic goals and values.

Artificial Intelligence 96

Artificial Intelligence Metadata Military Government 96

IBM Big Data Hub

MAY 9, 2023

But the foundation models that power generative AI will make these achievements seem like a prelude to the main act — and this will be especially true if we make the technology as accessible as possible. It helps facilitate the entire data and AI lifecycle, from data preparation to model development, deployment and monitoring.

Artificial Intelligence 107

Artificial Intelligence Cloud Metadata Access 107

Collibra

OCTOBER 13, 2022

Business & Data Architecture. Data & Technology Architecture. Data Quality Management. Data Governance. Collaboration: The collaboration component ensures that the execution components are put into operation by the data producers and make data available to data consumers as required.

Analytics 52

Analytics Cloud Metadata Government 52

ForAllSecure

APRIL 7, 2021

Welcome to the hacker mind and original podcast from for all secure, it's about challenging our expectations about the people who hack for a living. I've got a lot of industry certifications, but having all those paper degrees proved to be a poor equivalent to having actual hands on experience in information security.

Cybersecurity 40

Cybersecurity Information Security IT Security 40

ForAllSecure

APRIL 7, 2021

Welcome to the hacker mind and original podcast from for all secure, it's about challenging our expectations about the people who hack for a living. I've got a lot of industry certifications, but having all those paper degrees proved to be a poor equivalent to having actual hands on experience in information security.

Cybersecurity 40

Cybersecurity Information Security IT Security 40

Thales Cloud Protection & Licensing

DECEMBER 8, 2020

A research report issued by International Association of Privacy Professionals titled “Privacy in the wake of COVID-19” shows that 60 percent of those who adopted new technologies for working from home either skipped or expedited security/privacy reviews, creating a completely new set of risks for companies. New regulation, new challenges.

Privacy 62

Privacy Digital transformation Data Privacy Risk 62

IBM Big Data Hub

NOVEMBER 13, 2023

But Docker lacked an automated “orchestration” tool, which made it time-consuming and complex for data science teams to scale applications. HPC uses powerful processors at extremely high speeds to make instantaneous data-driven decisions.

Cloud 113

Cloud e-Delivery Big data e-Discovery 113

Collibra

MARCH 4, 2020

Only a decade ago, barely a dozen large corporations had a Chief Data Officer; today, by most accounts, that number has passed 10,000 worldwide. . Their initial role had a lot to with ensuring compliance and securing all data assets. And as part of those efforts, we’ve created a formal data office.

Marketing 99

Marketing Insurance Analytics Digital transformation 99