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 88

Data science IT Government 88

IBM Big Data Hub

OCTOBER 4, 2022

Today, AI presents an enormous opportunity to turn data into insights and actions, to amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. Furthermore, 59% of executives claim AI can improve the use of big data in their organizations, facts about artificial intelligence show. (

Government 101

Government Artificial Intelligence Metadata Data science 101

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

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 92

Government Data science Cloud Paper 92

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

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

DECEMBER 19, 2023

For data leaders, data scientists, and data stewards, the demand for AI applications has created a slew of related challenges. Regulatory compliance, ethical considerations and data privacy have all become critical to the success of enterprise AI. But the most-essential principle of AI data governance is trusted data.

Government 52

Government Risk Compliance Privacy 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.

Government 52

Government Cloud Data science Metadata 52

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 75

Government Risk Artificial Intelligence Metadata 75

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

Collibra

JUNE 27, 2023

Many operate highly complex data ecosystems with large volumes of data spread across on-prem, hybrid, and multi-cloud environments. 1) How can institutions of higher education use data to start making strategic decisions? 1) How can institutions of higher education use data to start making strategic decisions?

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

IBM Big Data Hub

SEPTEMBER 20, 2022

Alongside the significant brand reputation risk, there’s also a growing set of data and AI regulations across the world and across industries — like the upcoming European Union AI Act — that companies must adhere to. How do you accommodate for drifting data patterns? How a data fabric enables trustworthy AI. Is it scalable?

Data science 57

Data science Metadata Government Access 57

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. Data and insights belong to their creator. IBM clients’ data is their data, and their insights are their insights. Does it safeguard data?

Government 52

Government Compliance Data science Financial Services 52

John Battelle's Searchblog

JANUARY 25, 2019

Sovrn , a company I still chair, has a similar mission, but with a serious data and tech focus. My current work is split between two projects: One has to do with data governance, the other political media. First, Data. Big data, data breaches, data mining, data science…Today, we’re all about the data.

Government 92

Government IT Marketing ROT 92

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. Cross-disciplinary cooperation.

Marketing 158

Marketing Data science Privacy Artificial Intelligence 158

IBM Big Data Hub

JANUARY 5, 2023

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

Metadata 52

Metadata Analytics Big data Unstructured data 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

IBM Big Data Hub

MAY 9, 2023

Today, AI presents an enormous opportunity to turn data into insights and actions, to help amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. It drives an AI governance solution without the excessive costs of switching from your current data science platform.

Data science 75

Data science Artificial Intelligence Metadata Compliance 75

Collibra

NOVEMBER 23, 2022

To find, understand, and trust the data within your enterprise, it is essential to have sound data intelligence practices. The organization may rely on these practices to enable the end users to utilize data effectively. Our Collibra Data Office used our own Collibra Data Intelligence Assessment to do just that.

Analytics 104

Analytics Data science Government Marketing 104

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

Collibra

DECEMBER 22, 2022

The world is driven by data. But most of the time we don’t even think about how complex our data systems are. 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. The problem with bad data.

Analytics 52

Analytics Data science Government Marketing 52

Bill Schmarzo - Dell EMC

FEBRUARY 6, 2018

I was recently asked to conduct a 2-hour workshop for the State of California Senior Legislators on the topic of “Big Data, Artificial Intelligence and Privacy.” We have historical experiences and references to revisit in discerning what the government can do to nurture our “Analytics Revolution.” 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

IBM Big Data Hub

MAY 9, 2022

A confluence of events in the data management and AI landscape is bearing down on companies, no matter their size, industry or geographical location. Some of these, such as the continued sprawl of data across multicloud environments have been looming for years, if not decades. That solution is the data fabric.

Metadata 57

Metadata Privacy Government Data Privacy 57

Collibra

OCTOBER 14, 2021

Data is everywhere. And at every point data gets created, processed, or used in your organization, its quality is at risk. The impact of data quality on businesses is thoroughly analyzed, and Gartner quotes the organization level average of $12.9 What is predictive data quality? How predictive data quality works.

Analytics 52

Analytics Government Compliance Data science 52

IBM Big Data Hub

AUGUST 15, 2022

Sometimes as data scientists, we are often so determined to build a perfect model that we can unintentionally include human bias into our models. Often the bias creeps in through training data and then is amplified and embedded in the model. How does a data architecture impact your ability to build, scale and govern AI models?

Mining 62

Mining Data science Risk IT 62

IBM Big Data Hub

MAY 8, 2023

Technological risk—data confidentiality The chief technological risk is the matter of data confidentiality. The advent of generative AI , where the AI manipulates your data to create new content, provides an additional risk to corporate data confidentiality.

Insurance 71

Insurance Risk Artificial Intelligence Government 71

IBM Big Data Hub

OCTOBER 16, 2023

Examples of AI bias in the real world show us that when discriminatory data and algorithms are baked into AI models, the models deploy biases at scale and amplify the resulting negative effects. Bias can be found in the initial training data, the algorithm, or the predictions the algorithm produces.

Artificial Intelligence 74

Artificial Intelligence Government Data science Data collection 74

Collibra

AUGUST 11, 2020

Are you evangelizing or delivering value from data at pace? How do you build a better Chief Data Officer? Recently, I joined Carruthers and Jackson in collaboration with Collibra for the first week of the Chief Data Officer Summer School — pandemic edition! In short, making data meaningful, valuable and valued.

Analytics 69

Analytics Data science Government Marketing 69

IBM Big Data Hub

SEPTEMBER 7, 2022

There are still not enough data experts out there, even as the world of data evolves rapidly. We started the Summer School for Data Leaders five years ago to create a community for data experts to share ideas and relate to people facing similar challenges. Data ethics is top of mind. The community is growing.

Data science 52

Data science Customer Experience Communications Marketing 52

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

Collibra

APRIL 9, 2021

Recapping a discussion moderated by Stijn Christiaens and featuring insurance data experts from Deloitte UK . Insurance is a data-intensive business. Insurance companies need data to better assess risks and price policies competitively, but also profitably. Data governance holds key to cloud migration.

Insurance 59

Insurance Cloud Data science Analytics 59

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. Data intelligence can encompass both internal and external business data and information. Healthcare.

Analytics 103

Analytics Blockchain Artificial Intelligence Big data 103

Bill Schmarzo - Dell EMC

FEBRUARY 6, 2018

I was recently asked to conduct a 2-hour workshop for the State of California Senior Legislators on the topic of “ Big Data , Artificial Intelligence and Privacy.” We have historical experiences and references to revisit in discerning what the government can do to nurture our “Analytics Revolution.” Industrial Revolution Learnings.

Big data 40

Big data Artificial Intelligence Government Privacy 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.

Cloud 64

Cloud Analytics Data science Government 64

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. Unleashing its true potential can only be done when combined with the right data.”

Communications 98

Communications Data science Marketing Artificial Intelligence 98