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

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

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. Additionally, is the data from a trustworthy source.

Government 52

Government Cloud Data science Metadata 52

OpenText Information Management

AUGUST 28, 2018

Streaming Analytics is the ability to continuously process, manage, monitor, enrich and perform real-time analysis on live streaming data (typically from sensors and other components of the Internet of Things [IoT]).

Analytics 64

Analytics IoT Access Data science 64

Information Governance Perspectives

DECEMBER 3, 2018

Markus Lindelow leads the IG and Content Classification Practice Group at Iron Mountain, the world's largest information management company, where he’s been pioneering breakthrough analytic techniques for over decade.

Analytics 49

Analytics Data science Big data Metadata 49

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

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). Can’t Operate in a World of Fear.

Big data 87

Big data Artificial Intelligence Government Privacy 87

Information Governance Perspectives

DECEMBER 3, 2018

Markus Lindelow leads the IG and Content Classification Practice Group at Iron Mountain, the world's largest information management company, where he’s been pioneering breakthrough analytic techniques for over decade.

Analytics 40

Analytics Data science Big data Metadata 40

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

Collibra

APRIL 9, 2021

Given the data-intensive nature of their operations, it is natural that many insurance companies are looking towards the cloud as an infrastructure choice to help enable more agile data operations. This in turn prompts greater emphasis on data and analytics, says Deloitte insurance partner Reny Vargis-Cheriyan. .

Insurance 59

Insurance Cloud Data science Analytics 59

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 73

Insurance Risk Artificial Intelligence Government 73

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

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. Interactive analytics. Thu, 05/17/2018 - 01:14.

Government 40

Government Data science Analytics Access 40

eSecurity Planet

JULY 16, 2021

This includes real-time remediation assistance, rule-based and protection activation recommendations, traffic and attack analysis, forensic analytics lab access, scheduled log analysis of identified critical systems, and configuration change recommendations for third-party systems and service providers. FireEye Mandiant. Key Differentiators.

Analytics 104

Analytics Data science Cloud Artificial Intelligence 104

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 94

Analytics Data science Government Marketing 94

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). Can’t Operate in a World of Fear.

Big data 40

Big data Artificial Intelligence Government Privacy 40

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

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.” .” reported the CoinTelegraph. Copyright (C) 2014-2015 Media.net Advertising FZ-LLC All Rights Reserved -->.

Computer and Electronics 107

Computer and Electronics Digital transformation Data science Blockchain 107

Data Matters

JUNE 27, 2022

Last week, the UK Competition and Markets Authority (CMA) hosted its inaugural Data, Technology, and Analytics (DaTA) Conference. The government has opened a public consultation, and stakeholders have until September 5, 2022, to offer their views on the proposed approach.

Marketing 158

Marketing Data science Privacy Artificial Intelligence 158

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

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. Expanding big data.

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

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

Collibra

AUGUST 11, 2020

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. No matter where you come from a passion for data and credibility are important for any CDO.

Analytics 69

Analytics Data science Government Marketing 69

Reltio

FEBRUARY 12, 2019

Focusing on the modern way to organize master data, the upcoming Modern Data Management Summit 2019 is the best event to learn about big data analytics and machine learning to deliver personalized customer experience through 360 customer profile. Sounds impressive? Don’t just take our word. Discover yourself.

MDM 53

MDM Customer Experience Digital transformation Analytics 53

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.

Artificial Intelligence 78

Artificial Intelligence Customer Experience Cloud Government 78

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

Information Management Resources

FEBRUARY 20, 2018

Analytics professionals are spending more time governing, searching and preparing data than they are on extracting business value, says a new study from IDC.

Analytics 50

Analytics Government Data science 50

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

OpenText Information Management

JUNE 29, 2018

When it comes to writing machine learning algorithms leveraging the Apache Spark framework, the data science community is fairly divided as to which language is best suited for writing programs and applications.

Data science 40

Data science Artificial Intelligence IT Big data 40

eDiscovery Daily

FEBRUARY 4, 2020

There are several interesting sessions today related to eDiscovery, Information Governance, Cybersecurity and Data Privacy. Leveraging Technology for Information Governance and Data Privacy. Key takeaways: Cutting-edge LegalTech tools that can classify data, build data maps, and lower data storage costs.

e-Discovery 59

e-Discovery Data Privacy Blockchain Privacy 59

IBM Big Data Hub

SEPTEMBER 7, 2022

At Summer School, we aim to increase longevity by teaching data leaders how to communicate expectations from the outset while maintaining the positive message that “yes, we can get there after we take these crucial steps.”. We recommend that data leaders pick a small problem and solve that, then look at the impact.

Data science 52

Data science Customer Experience Communications Marketing 52

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

IBM Big Data Hub

JANUARY 17, 2023

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. 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. AI governance.

Data science 57

Data science Cloud Government Analytics 57

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. AI using machine learning (ML) involves processing samples of data to learn. Then using what was learnt learning to run data analytics on vast amounts of content from many sources. Data Analytics.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

IBM Big Data Hub

AUGUST 7, 2023

Additionally, biopharma companies may find themselves building out AI capabilities in-house sporadically and without overarching governance. Therefore, IBM observes that more clients tend to consult AI leaders to help establish governance and enhance AI and data science capabilities, an operating model in the form of co-delivery partnerships.

Healthcare 59

Healthcare Artificial Intelligence Data science Compliance 59

Collibra

AUGUST 7, 2020

Most importantly, they need to quickly derive insights from these diverse datasets, which points to the need for agile data operations and sophisticated analytics (particularly AI/ML capabilities). . What do we mean by a cloud data platform? Why does data need governance on a cloud platform?

Cloud 81

Cloud Government Unstructured data Analytics 81