Collibra

SEPTEMBER 27, 2024

A successful data governance program must align with the business’ strategic goals and have the ability to operationalize processes, people and technology to deliver outcomes. Operationalizing data governance decisions will increase the commitment and success of the program. depending on the level of the sponsors.

Government 102

Government Data science Communications Privacy 102

Collibra

DECEMBER 20, 2022

In the public sector, the consequences of bad data can have a profound effect on the daily life of citizens everywhere. . From budgets to policy proposals, the risk that the government not only makes bad decisions but that it doesn’t have the data capabilities to make good ones is real.

Government 98

Government Data science Cloud Paper 98

Collibra

OCTOBER 4, 2023

Watch the webinar It’s a digital world The truth is that in an increasingly digital world, the need for organizations to be data-driven has never been more pronounced. The federal government is no exception. But what does it mean for federal agencies to be more data-driven, and why is this shift important?

Government 101

Government Data science Analytics Access 101

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

Data science 54

Data science Big data Analytics Mining 54

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

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 97

Analytics Government Compliance Metadata 97

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 124

Security Risk Ransomware Cybersecurity 124

John Battelle's Searchblog

JANUARY 25, 2019

My current work is split between two projects: One has to do with data governance, the other political media. Big data, data breaches, data mining, data science…Today, we’re all about the data. And second… Governance. But Governance? Data Governance.

Government 92

Government IT Marketing ROT 92

Collibra

JANUARY 1, 2021

Creating a data governance framework is crucial to becoming a data-driven enterprise because data governance brings meaning to an organization’s data. It adds trust and understanding to data, accelerating digital transformation across the enterprise. What is a data governance framework?

Government 59

Government Compliance Data Privacy Privacy 59

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 70

Government Risk Artificial Intelligence Compliance 70

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

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 122

Analytics Data science Cloud Ransomware 122

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 130

Insurance Ransomware Risk Data science 130

Collibra

JUNE 2, 2022

To drive successful AI initiatives at scale, healthcare institutions will require a comprehensive AI governance strategy as a foundational pillar. According to McKinsey (a global management consulting firm), strengthening data governance, data access, data quality, data security and interoperability is critical.

Government 52

Government Cloud Data science Metadata 52

Collibra

DECEMBER 19, 2023

As organizations increasingly embrace AI, understanding and implementing effective enterprise AI governance is becoming more and more critical to sustaining AI success and mitigating risk. Today, AI-driven organizations can leverage AI governance to mitigate risk, adhere to legal requirements and protect privacy.

Government 52

Government Risk Compliance Privacy 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

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 145

Cybersecurity Phishing Data science Blockchain 145

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 97

Education Cloud Digital transformation Data science 97

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 71

Data science Manufacturing Artificial Intelligence Government 71

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

Collibra

OCTOBER 8, 2024

And it isn’t because you don’t have great governance or have your data cataloged to the nines, it’s because in order for data to be ready for AI, there are a specific set of criteria that need to be checked off. Many of you are already on the path to having AI-ready data which is fantastic. Well, is it?

Government 78

Government Artificial Intelligence Data science Risk 78

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

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

IBM Big Data Hub

SEPTEMBER 20, 2022

Automated, integrated data science tools help build, deploy, and monitor AI models. With AI governance solutions, a data scientist using standard, open Python libraries and frameworks can have facts about the model building and training automatically collected. Processes that provide AI governance.

Data science 56

Data science Government Metadata Access 56

IBM Big Data Hub

MAY 9, 2023

The early use cases that we have identified range from digital labor, IT automation, application modernization, and security to sustainability. It helps facilitate the entire data and AI lifecycle, from data preparation to model development, deployment and monitoring.

Artificial Intelligence 106

Artificial Intelligence Cloud Metadata Access 106

Collibra

NOVEMBER 23, 2022

The model leverages anonymized data from a subset of Collibra customers as inputs to calculate a maturity level for each industry. IDC surveyed senior data governance, data quality, data cataloging, and data privacy and security professionals to create The Data Intelligence Assessment tool.

Analytics 105

Analytics Data science Government Marketing 105

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 105

Marketing Insurance Analytics Digital transformation 105

Reltio

JUNE 11, 2024

From biased or incomplete datasets to inconsistent formatting and errors, bad data can manifest in various forms, each posing unique challenges to the success of AI-driven projects. Whether for generative AI or predictive analytics, investing in data quality, richness, and governance is the key to “delicious” AI/ML outcomes.

Data science 52

Data science Government Analytics MDM 52

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 62

Analytics Data science Cloud Metadata 62

IBM Big Data Hub

SEPTEMBER 20, 2023

These include data ingestion, data selection, data pre-processing, FM pre-training, model tuning to one or more downstream tasks, inference serving, and data and AI model governance and lifecycle management—all of which can be described as FMOps.

Cloud 83

Cloud Data science Artificial Intelligence Analytics 83

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 102

Artificial Intelligence Government Data science Marketing 102

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. Efficient and accurate AI requires fastidious data science.

Insurance 68

Insurance Risk Artificial Intelligence Government 68

IBM Big Data Hub

JUNE 10, 2024

Similarly, on-premises XaaS solutions offer the flexibility to scale resources within the organization’s own infrastructure, providing greater control over data and security. XaaS models offer organizations greater predictability and transparency in cost management by providing detailed billing metrics and usage analytics.

Cloud 62

Cloud Data science Customer Experience Access 62

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 68

Artificial Intelligence Government Data science Data collection 68

OpenText Information Management

MARCH 5, 2025

introduces significant enhancements across document management, user experience, enterprise application integration, workflow automation, and security. Banners and watermarks for Business Workspaces Organizations can now apply screen banners and watermarks from Business Workspace objects, reinforcing security and compliance requirements.

ECM 52

ECM Metadata Cloud e-Delivery 52

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 Data Privacy Digital transformation Risk 62

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