Collibra

AUGUST 14, 2023

As we speed into a new AI era, there’s a critical element that’s often missing when organizations rush forward in hyper-competitive markets to build scalable, trusted AI programs — and that’s AI governance. An AI governance framework offers a blueprint for how to create successful AI products.

Government 52

Government Risk Financial Services Compliance 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 . No, no, no.

Government 52

Government IT Compliance Privacy 52

Data Matters

JUNE 27, 2022

The conference coincided with London Tech Week, during which Chris Philp, UK Minister for Tech and the Digital Economy, unveiled a new UK Digital Strategy: the UK government’s vision for regulating digital markets, involving a monitoring framework and outcomes-focused regulation.

Marketing 158

Marketing Data science Privacy Artificial Intelligence 158

Collibra

AUGUST 23, 2023

As the data intelligence company, we’ve long anticipated broad adoption of AI, and Collibrians with data science and machine learning expertise have been working diligently on ways to apply AI/ML. Please provide 10 examples with options. What are the judging criteria for this hackathon?

Communications 98

Communications Data science Marketing Artificial Intelligence 98

IBM Big Data Hub

MAY 8, 2023

The advent of generative AI , where the AI manipulates your data to create new content, provides an additional risk to corporate data confidentiality. One example of this is facial recognition being used for the illegal tracking of people’s movement. Efficient and accurate AI requires fastidious data science.

Insurance 74

Insurance Risk Artificial Intelligence Government 74

Bill Schmarzo - Dell EMC

FEBRUARY 6, 2018

We have historical experiences and references to revisit in discerning what the government can do to nurture our “Analytics Revolution.” Notably, the Industrial Revolution, holds many lessons regarding the consequences of late and/or confusing government involvement and guidance (see Figure 1). Industrial Revolution Learnings.

Big data 87

Big data Artificial Intelligence Government Privacy 87

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

Collibra

MAY 4, 2021

This jointly developed service brings together data engineering, data science, analytics and machine learning through an open lakehouse platform. With an open data and cloud platform, users need data governance to continue to reap the benefits of the open architecture. Collibra offers: .

Cloud 64

Cloud Analytics Data science Government 64

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. Two notable examples are Sourcefire, acquired by Cisco for $2.7B The state counts approximately 109,000 cyber engineers.

Cybersecurity 193

Cybersecurity Computer and Electronics Data science Marketing 193

Collibra

NOVEMBER 23, 2022

It rates an organization’s maturity based on four core pillars: Data Literate Culture, Data Analytics, Data Management, and Data Valuation. The model leverages anonymized data from a subset of Collibra customers as inputs to calculate a maturity level for each industry. on a scale of 1 to 10.

Analytics 104

Analytics Data science Government Marketing 104

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. Besides, what’s to stop other organizations – or even governments – from creating their own generative AI platform that has no guardrails? In a week, the app gained more than one million users.

Cybersecurity 145

Cybersecurity Phishing Data science Blockchain 145

Bill Schmarzo - Dell EMC

FEBRUARY 6, 2018

We have historical experiences and references to revisit in discerning what the government can do to nurture our “Analytics Revolution.” Notably, the Industrial Revolution, holds many lessons regarding the consequences of late and/or confusing government involvement and guidance (see Figure 1). Industrial Revolution Learnings.

Big data 40

Big data Artificial Intelligence Government Privacy 40

The Security Ledger

APRIL 16, 2021

Is scraping the same as hacking or just an example of “zealous” use of a social media platform? » Related Stories Episode 206: What Might A Federal Data Privacy Law Mean In the US? Is scraping the same as hacking or just an example of “zealous” use of a social media platform? And if it isn’t considered hacking…should it be?

IT 52

IT Data science Data Privacy Sales 52

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. Perform data quality monitoring based on pre-configured rules.

Metadata 52

Metadata Analytics Big data Unstructured data 52

IBM Big Data Hub

AUGUST 15, 2022

How does a data architecture impact your ability to build, scale and govern AI models? To be a responsible data scientist, there’s two key considerations when building a model pipeline: Bias: a model which makes predictions for people of different group (or race, gender ethnic group etc.) Data risk assessment.

Mining 62

Mining Data science Risk IT 62

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). For example, many use it to contact users who leave products in their cart or exit their website. Machine learning in financial transactions ML and deep learning are widely used in banking, for example, in fraud detection.

Marketing 51

Marketing Data science e-Discovery Artificial Intelligence 51

IBM Big Data Hub

OCTOBER 3, 2022

In addition, they needed demographic data to ensure appropriate care for the community in need. For example, if a non-Spanish-speaking advocate reaches out to a primarily Spanish-speaking community, the odds of success will be much lower. Organizations need to be able to trust their data science outcomes.

Risk 52

Risk Data science Insurance Cloud 52

IBM Big Data Hub

SEPTEMBER 7, 2022

We recommend that data leaders pick a small problem and solve that, then look at the impact. Do your data governance systems desperately need an overhaul or is your data visualization in need of a spruce up? Do you accept that data science takes a slight back seat while you improve the data quality?

Data science 52

Data science Customer Experience Communications Marketing 52

Information is Currency

FEBRUARY 17, 2017

Companies Still Struggle With Information Governance, Survey Finds. Despite years of talking about information governance and compliance, less than half of companies surveyed have a compliance culture — and many companies apparently have no governance strategy at all. The Need for Information Governance Has Never Been Greater.

MDM 40

MDM Big data Information governance Analytics 40

CILIP

MAY 6, 2021

The consultation includes a Government-mandated policy to increase funding to ?high-value? courses like science, engineering and medicine and to reduce by 50% the funding to ?high courses, including Library and Information Science. We see nothing in the Government?s Office for Students Consultation on Recurrent Funding.

Libraries 52

Libraries Education Government Data science 52

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

CILIP

OCTOBER 8, 2019

2019 brings together content delivery and technology, looking at how areas such as AI, machine learning and data science are coming together in the content world. Clive points to the e-learning arena as an example of how quickly things can take off once the benefits become apparent. Content delivery pioneers.

e-Delivery 40

e-Delivery Libraries Data science Artificial Intelligence 40

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

Reltio

JULY 2, 2019

Martin Squires is a leader with extensive experience in customer insight, marketing analytics & data science. Selected for the last 5 years as a member of the Data IQ Data 100 , Martin has considerable experience helping organisations drive value from building a deeper understanding of their customers.

Analytics 58

Analytics Insurance Artificial Intelligence Data science 58

ARMA International

SEPTEMBER 13, 2021

Gartner (2021) has two related definitions: Digital Transformation: “can refer to anything from IT modernization (for example, cloud computing), to digital optimization, to the invention of new digital business models.” CDPs apply specialized technologies and pre-built processes that are tailored precisely to meet marketing data needs.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

Collibra

AUGUST 7, 2020

GCP offers a range of tools to support these processes, including Dataflow for streaming data, Dataproc for Hadoop/Spark stacks, Data Fusion (for integrating data from multiple sources) and Dataprep (for data wrangling). Why does data need governance on a cloud platform?

Cloud 81

Cloud Government Unstructured data Analytics 81

IBM Big Data Hub

FEBRUARY 22, 2024

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. These are table stakes for the DoD or any government agency. The CRISP-DM model is useful here.

Artificial Intelligence 102

Artificial Intelligence Metadata Military Government 102

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 79

Data science Manufacturing Artificial Intelligence Retail 79

ForAllSecure

APRIL 7, 2021

So I went and got a master's in it from Johns Hopkins University, and continue there for a little while and then it actually ended up switching over to a job where I was working in information assurance and quality assurance for the government, I've been government facing for, you know, pretty much my entire career at this point.

Cybersecurity 40

Cybersecurity Information Security IT Security 40

ForAllSecure

APRIL 7, 2021

So I went and got a master's in it from Johns Hopkins University, and continue there for a little while and then it actually ended up switching over to a job where I was working in information assurance and quality assurance for the government, I've been government facing for, you know, pretty much my entire career at this point.

Cybersecurity 40

Cybersecurity Information Security IT Security 40

IBM Big Data Hub

JULY 17, 2023

By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks.

Analytics 67

Analytics Data science Cloud Metadata 67

IBM Big Data Hub

JULY 13, 2023

Data quality and integrity are vital to a data-driven organization that employs analytics for business decisions, offers self-service data access for internal stakeholders and provides data offerings to customers. Data science tasks such as machine learning also greatly benefit from good data integrity.

Metadata 68

Metadata MDM Analytics Compliance 68

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

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 117

Cloud e-Delivery Big data e-Discovery 117

Collibra

MARCH 4, 2020

We’ve nurtured a data-driven culture, encouraged the participation of data citizens, and traveled from data governance to Data Intelligence. . And as part of those efforts, we’ve created a formal data office. Because we like to look ahead, we call it Collibra Data Office 2025.

Marketing 99

Marketing Insurance Analytics Digital transformation 99

Thales Cloud Protection & Licensing

DECEMBER 8, 2020

Indeed, the “Market Guide for File Analysis Software” report issued by Gartner reveals that through 2024, 80% of information governance programs that do not include unstructured, semi-structured and structured data within the same governance program will fail, up from 30% today. Better data visibility to the rescue.

Privacy 62

Privacy Digital transformation Data Privacy Risk 62

Reltio

MAY 13, 2020

Graph technology can quickly identify an HCP’s channel choice, content preferences, influence in a disease area, prescribed products and clinical trial participation, for example. For example, it can help identify an HCP engaging with different channels, or working at various locations as one, rather than multiple, people.

Analytics 59

Analytics Big data Compliance Data science 59