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 78

Government Risk Artificial Intelligence Metadata 78

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

JUNE 2, 2022

To drive successful AI initiatives at scale, healthcare institutions will require a comprehensive AI governance strategy as a foundational pillar. According to McKinsey (a global management consulting firm), strengthening data governance, data access, data quality, data security and interoperability is critical.

Government 52

Government Cloud Data science Metadata 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

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 .

Government 52

Government IT Compliance Privacy 52

IBM Big Data Hub

SEPTEMBER 20, 2022

Privacy: Are the right rules and policies in place for various people to access the data at different stages of the AI lifecycle? How do you accommodate for drifting data patterns? Comprehensive, trusted data sets. First things first: you need access and insight into all relevant data. Is it scalable?

Data science 57

Data science Metadata Government Access 57

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 79

Data science Artificial Intelligence Metadata Compliance 79

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 74

Education Cloud Digital transformation Data science 74

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 8, 2023

For example, feeding a generative AI system such as Chat GPT with corporate data to produce a summary of confidential corporate research would mean that a data footprint would be indelibly left on the external cloud server of the AI and accessible to queries from competitors. Above all, put in a robust AI governance program.

Insurance 75

Insurance Risk Artificial Intelligence Government 75

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

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

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 95

Communications Data science Marketing Artificial Intelligence 95

IBM Big Data Hub

MAY 9, 2022

A data fabric is an architectural approach to simplify data access in an organization to facilitate self-service data consumption. This architecture is agnostic to data environments, processes, utility and geography, all while integrating end-to-end data-management capabilities. Multicloud data integration.

Metadata 57

Metadata Privacy Government Data Privacy 57

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

Security Affairs

AUGUST 18, 2020

In late 2019, Binance signed a Memorandum of Understanding with Ukraine’s Ministry of Digital Transformation to support the Ukrainian government to developing crypto-related legislation. The cyber agents found digital evidence of criminal activity of the suspects on the seized equipment.

Computer and Electronics 104

Computer and Electronics Digital transformation Data science Blockchain 104

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

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

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

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 140

Cybersecurity Phishing Data science Blockchain 140

eSecurity Planet

JULY 16, 2021

Incident response tools can help implement incident response plans and elevate response plans from a manual to an automated basis, sandboxing threats and shutting down ports and access and the like. Direct access to Check Point Research & Development, aiding in Zero Day threat identification. FireEye Mandiant. Secureworks.

Analytics 104

Analytics Data science Cloud Artificial Intelligence 104

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 80

Artificial Intelligence Customer Experience Cloud Government 80

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 128

Insurance Ransomware Risk Data science 128

IBM Big Data Hub

OCTOBER 3, 2022

And with good reason: it’s a lot of data to process effectively, and not all AI systems are created with the proper ethical guardrails in place. Organizations need to be able to trust their data science outcomes. What healthcare is doing with data fabric and AI to mitigate risks. The AI must be trustworthy.

Risk 52

Risk Data science Insurance Cloud 52

The Security Ledger

APRIL 16, 2021

As more and more online platforms open their doors to API-based access, do we need more rules and oversight of how APIs are used to prevent wanton abuse? » Related Stories Episode 206: What Might A Federal Data Privacy Law Mean In the US? And if it isn’t considered hacking…should it be? The post Episode 211: Scrapin’ ain’t.

IT 52

IT Data science Data Privacy Sales 52

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

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

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

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

CILIP

OCTOBER 8, 2019

AI will be a key tool in ensuring that content remains accessible and discoverable ? 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. s technologies have the power to be just as transformative. www.ConTechlive.com.

e-Delivery 40

e-Delivery Libraries Data science Artificial Intelligence 40

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

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. What fraction of incidents have a discovered initial access method? That would be exciting and actionable.

Mining 49

Mining Government Phishing Cloud 49

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

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

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