Collibra

JUNE 27, 2023

1) How can institutions of higher education use data to start making strategic decisions? Department of Education issued a Data Strategy that recognized the essential link between student outcomes and the strategic use of data.

Education 89

Education Cloud Digital transformation Data science 89

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

IBM Big Data Hub

MAY 18, 2023

. “What these enterprises need,” the report states, “is a platform that can simultaneously enable them to harness the power of AI while enhancing and governing it with well-proven and trusted human business expertise.”

Data science 92

Data science Customer Experience Marketing Cloud 92

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 57

Data science Metadata Government Access 57

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. AI will undeniably reinforce the requirement for data governance.”

Communications 98

Communications Data science Marketing Artificial Intelligence 98

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. Cross-border cooperation.

Marketing 158

Marketing Data science Privacy Artificial Intelligence 158

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

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

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

IBM Big Data Hub

OCTOBER 16, 2023

Reducing bias and AI governance Identifying and addressing bias in AI begins with AI governance, or the ability to direct, manage and monitor the AI activities of an organization. In practice, AI governance creates a set of policies, practices and frameworks to guide the responsible development and use of AI technologies.

Artificial Intelligence 74

Artificial Intelligence Government Data science Data collection 74

IBM Big Data Hub

MAY 8, 2023

Mitigating the AI risks The risks posed by AI adoption highlights the need to develop a governance approach to mitigate the technical and usage risk that comes from adopting AI. This is to ensure the AI model captures data inputs and usage patterns, required validations and testing cycles, and expected outputs.

Insurance 71

Insurance Risk Artificial Intelligence Government 71

Collibra

DECEMBER 22, 2022

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. We don’t really have any way of knowing if the data is correct. The expectation that your data is trusted and reliable has never been greater.

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. AI, told eSecurity Planet.

Insurance 126

Insurance Ransomware Risk Data science 126

IBM Big Data Hub

SEPTEMBER 7, 2022

Originally based on our books, The Chief Data Officer’s Playbook and Data-Driven Business Transformation , the program is now an interactive 10-week workshop that addresses data maturity, data strategy, data literacy, leadership, technology and more. Small victories lead to big ones.

Data science 52

Data science Customer Experience Communications Marketing 52

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. How Business Benefits from Data Intelligence. Apply real-time data in marketing strategies.

Analytics 103

Analytics Blockchain Artificial Intelligence Big data 103

Collibra

OCTOBER 14, 2021

As a result, organizations lack an enterprise data quality foundation to respond to regulatory, analytics, and AI demands in a scalable and cost-efficient way. Making sure data is of a high quality involves rules. An intelligent data quality system can evolve rules on-the-fly. Escalate with data governance workflows.

Analytics 52

Analytics Government Compliance Data science 52

IBM Big Data Hub

AUGUST 7, 2023

Tackling complexities in clinical trial site selection: A playground for a new technology and AI operating model Enrollment strategists and site performance analysts are responsible for constructing and prioritizing robust end-to-end enrollment strategies tailored to specific trials. To do so they require data, which is in no shortage.

Healthcare 57

Healthcare Artificial Intelligence Data science Compliance 57

Reltio

FEBRUARY 12, 2019

With over 40 sessions featuring 60 speakers, the summit has three tracks – Modern Data Management, Personalize Customer 360, and Healthcare & Life Sciences. The best minds in industry discuss the hottest topics relevant to master data management, customer 360, data science, and business facing data-driven applications.

MDM 53

MDM Customer Experience Digital transformation Analytics 53

IBM Big Data Hub

MAY 9, 2022

This architecture is agnostic to data environments, processes, utility and geography, all while integrating end-to-end data-management capabilities. A data fabric automates data discovery, governance and consumption, enabling enterprises to use data to maximize their value chain. Multicloud data integration.

Metadata 57

Metadata Privacy Government Data Privacy 57

Collibra

AUGUST 11, 2020

Caroline Carruthers and Peter Jackson, the Batman and Robin hosts of our journey, focused on the person, the Chief Data Officer or CDO. They explored our journey so far, where do Chief Data Officers come from? Anywhere from technology, data, analytics, to operations, marketing and increasingly data science.

Analytics 69

Analytics Data science Government Marketing 69

IBM Big Data Hub

FEBRUARY 8, 2022

Operations and management require extensive coordination between federal, state and local governments and detailed, often disparate, reporting to each organization participating in the program. Its governing bodies, executives, educators and staff are dedicated to empowering students and their families.

Analytics 56

Analytics Education Data science Government 56

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. Location data revealed. Poor User Experience.

MDM 40

MDM Big data Information governance Analytics 40

eSecurity Planet

JULY 16, 2021

The FireEye Mandiant Automated Defense module – which will soon be spun off under the Mandiant name – combines data from the security stack with data science and machine learning capabilities to triage alerts, automatically eliminating events that don’t matter, and revealing the ones that do. FireEye Mandiant.

Analytics 98

Analytics Data science Cloud Artificial Intelligence 98

Information Management Resources

MARCH 19, 2018

Growth in digital transformation efforts in healthcare is driving the need for more CDOs, who need to be versed in strategy, governance and execution.

Digital transformation 43

Digital transformation Government Data science Analytics 43

Information Management Resources

MARCH 15, 2018

Forrester Research looks at how strategy, governance and execution separate the best from the rest. The growth in digital transformation efforts is driving the need for more CDOs.

Digital transformation 37

Digital transformation Government Data science 37

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 90

Analytics Government Compliance Metadata 90

IBM Big Data Hub

JANUARY 17, 2023

IBM Cloud Pak for Data Express solutions provide new clients with affordable and high impact capabilities to expeditiously explore and validate the path to become a data-driven enterprise. IBM Cloud Pak for Data Express solutions offer clients a simple on ramp to start realizing the business value of a modern architecture.

Data science 57

Data science Cloud Government Analytics 57

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. Keep learning.

Analytics 58

Analytics Insurance Artificial Intelligence Data science 58

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 136

Cybersecurity Cloud Ransomware Risk 136

ARMA International

SEPTEMBER 13, 2021

The migration involves using a cloud enablement strategy to deliver products and services on-demand to business users and customers anytime, anywhere, and on any device, while evolving and adapting to business users’ and customers’ needs as new formats, standards, and devices emerge. Content Services Platforms (CSP).

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

Collibra

AUGUST 7, 2020

Cloud data platforms have become a key component of enterprise data architectures, playing a central role in many organizations’ digital transformation strategies. Data storage: m ost enterprises need a combination of data lake and data warehouse technologies to support their business intelligence and data science teams.

Cloud 81

Cloud Government Unstructured data Analytics 81

IBM Big Data Hub

OCTOBER 4, 2023

Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. It’s no longer a nice-to-have, but an integral part of a successful data strategy. All of this supports the use of AI.

Metadata 83

Metadata Analytics Artificial Intelligence Data science 83

eDiscovery Daily

JANUARY 27, 2020

I’ve opened them all up and captured them, so you don’t have to. : o ) Next week during the show, I’ll cover the main conference sessions each day that relate to eDiscovery, Information Governance, Cybersecurity and Data Privacy to give you a complete sense of options. Understand the potential ethical issues around technology.

e-Discovery 50

e-Discovery Data Privacy Blockchain Education 50

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 77

Data science Manufacturing Artificial Intelligence Retail 77

Collibra

OCTOBER 13, 2022

Organizations plan their digital initiatives to harness the value of data. But often, the volume and diversity of data prove to be challenging to manage. Extracting value from data requires wide-ranging capabilities, from organizational strategy to collaborative execution. Data Management Strategy & Business Case.

Analytics 52

Analytics Cloud Metadata Government 52

IBM Big Data Hub

FEBRUARY 8, 2023

This necessitates the detection of bias during data acquisition, building, training, deploying and monitoring models. Protect and scale against government regulations AI regulations are growing and changing at a rapid pace and noncompliance can lead to costly audits, fines and negative press. So what is AI governance?

Artificial Intelligence 52

Artificial Intelligence Compliance Analytics Government 52