IBM Big Data Hub

NOVEMBER 17, 2017

Organizations everywhere, from massive governments to the smallest start-ups, are in a race for the best-possible data expertise and tools. To help your team understand the data science journey, IBM created the Data Science for All webcast.

Data science 90

Data science IT Government 90

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 96

Government Data science Cloud Paper 96

IG Guru

MAY 14, 2020

The post University of Michigan “Data Science Ethics” 4-Week Course Offered for Free via Coursera appeared first on IG GURU. This course is offered for free on Coursera.

Data science 74

Data science Artificial Intelligence Big data Education 74

The Last Watchdog

JUNE 13, 2022

Among them: an expanding digital footprint, growing attack surfaces, and increasing government regulation. Still, given the impact data science has had on other areas of software development, it seems likely that in the coming years one or more of these proposed solutions will yield a significant improvement in identity management systems.

Cybersecurity 239

Cybersecurity Data science Artificial Intelligence Marketing 239

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

erwin

APRIL 15, 2020

During this coronavirus emergency, we are all being deluged by data from politicians, government agencies, news outlets, social media and websites, including valid facts but also opinions and rumors. On a business level, decisions based on bad external data may have the potential to cause business failures.

Government 134

Government Data science Metadata Analytics 134

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 77

Government Risk Artificial Intelligence Metadata 77

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

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

SEPTEMBER 27, 2022

To scale use of AI in a responsible manner requires AI governance, the process of defining policies and establishing accountability throughout the AI lifecycle. AI governance: From principles to actions. AI model governance introduces technology to implement guardrails at each stage of the AI/ML lifecycle.

Government 52

Government Compliance Data science Financial Services 52

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

Dark Reading

JULY 21, 2022

Data science can be used to improve access to government assistance while reducing fraud.

Data science 74

Data science Government Access 74

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 9, 2023

Challenges around managing risk and reputation Customers, employees and shareholders expect organizations to use AI responsibly, and government entities are starting to demand it. It drives an AI governance solution without the excessive costs of switching from your current data science platform.

Data science 78

Data science Artificial Intelligence Metadata Compliance 78

Information Management Resources

JANUARY 6, 2018

AI and machine learning are revolutionizing the way we engage with customers, streamline operations, and mitigate business risk.

Data science 28

Data science Government Risk 28

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

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

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 95

Education Cloud Digital transformation Data science 95

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

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

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

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

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 95

Data science Customer Experience Marketing Cloud 95

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 74

Insurance Risk Artificial Intelligence Government 74

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

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 77

Artificial Intelligence Government Data science Data collection 77

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. They are building new state-of-the-art cybersecurity and data science products that are unique and disruptive in the global cybersecurity market.

Cybersecurity 144

Cybersecurity Computer and Electronics Data science Marketing 144

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

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.” Binance also partnered with TRM Labs, a blockchain analysis firm that focuses on fraud detection.

Computer and Electronics 113

Computer and Electronics Digital transformation Data science Blockchain 113

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

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

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 105

Analytics Data science Government Marketing 105

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

Information Governance Perspectives

DECEMBER 3, 2018

I interviewed him this November to discuss his thoughts on the evolution of metadata, content classification, AI, and how companies are using the new pillars of data science to break down their silos, help customers get lean and discover the hidden values in their big data sets.

Analytics 49

Analytics Data science Big data Metadata 49

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 79

Artificial Intelligence Customer Experience Cloud Government 79

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