IBM Big Data Hub

AUGUST 23, 2023

However, consumers and regulators have also become increasingly concerned with the safety of both their data and the AI models themselves. Safe, widespread AI adoption will require us to embrace AI Governance across the data lifecycle in order to provide confidence to consumers, enterprises, and regulators.

Government 52

Government Artificial Intelligence Data Privacy Privacy 52

IBM Big Data Hub

SEPTEMBER 20, 2023

When implemented in a responsible way—where the technology is fully governed, privacy is protected and decision making is transparent and explainable—AI has the power to usher in a new era of government services. AI’s value is not limited to advances in industry and consumer products alone.

Government 100

Government Artificial Intelligence Privacy Digital transformation 100

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 70

Government Risk Artificial Intelligence Metadata 70

IBM Big Data Hub

DECEMBER 4, 2023

Yet while 79% of executives say AI ethics is important to their enterprise-wide AI approach , less than 25% have operationalized ethics governance principles. Looking forward Using the framework described above, IBM advances ethical AI governance through its product offerings. and/or its affiliates in the U.S.

Government 74

Government Metadata Risk Compliance 74

Security Affairs

MAY 14, 2019

Since that day I received hundreds of emails from students, researchers and practitioners all around the world asking me questions about how to follow up that research and how to contribute to expanding the training set. Now, if you wish you are able to generate training sets by yourself and to test new algorithms directly into WEKA.

Artificial Intelligence 68

Artificial Intelligence Computer and Electronics Honeypots Cybersecurity 68

IBM Big Data Hub

JUNE 7, 2022

Governments and regulatory bodies around the world are working to establish safety standards. The proposed rules aim to govern automated valuation models to protect borrowers. The announcement highlighted the crucial role of training data, and the terrible consequences of using data that “fails to represent American society.”.

Government 52

Government Financial Services Compliance Cloud 52

IBM Big Data Hub

MAY 31, 2024

However, the latest CEO Study by the IBM Institute for the Business Value found that 72% of the surveyed government leaders say that the potential productivity gains from AI and automation are so great that they must accept significant risk to stay competitive.

Government 98

Government Risk Privacy Compliance 98

IBM Big Data Hub

FEBRUARY 9, 2023

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture.

Government 76

Government e-Delivery Compliance Access 76

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. We believe that data policies should be fair and equitable and prioritize openness. AI governance: From principles to actions.

Government 52

Government Compliance Data science Financial Services 52

IBM Big Data Hub

APRIL 22, 2024

That means making more sustainable choices about how models are built, trained, and used, where processing occurs, what infrastructure is used, and how open and collaborative we are along the way.” of IBM’s total electricity consumption came from renewable sources, including 74% of the electricity that IBM data centers consumed.

Government 88

Government Manufacturing Cloud IT 88

Reltio

SEPTEMBER 24, 2019

Nicola Askham is the leading data governance training provider in the UK with over 16 years of experience and research in the field. She delivers training and consulting to major organisations to help them implement full data governance frameworks. Kate Tickner, Reltio.

Government 55

Government Digital transformation Big data IT 55

IBM Big Data Hub

MARCH 4, 2024

Security, governance, risk and compliance mechanisms are essential not only for governing AI but also for managing the IT estate running AI, providing evidence for regulatory compliance. An AI+ enterprise also recognizes that alongside the necessary tools, fostering a culture that embraces AI and trains talent is crucial.

Artificial Intelligence 96

Artificial Intelligence Cloud Government Risk 96

IBM Big Data Hub

OCTOBER 16, 2023

Bias can be found in the initial training data, the algorithm, or the predictions the algorithm produces. Training data bias AI systems learn to make decisions based on training data, so it is essential to assess datasets for the presence of bias. Bias can also result from how the training data is labeled.

Artificial Intelligence 68

Artificial Intelligence Government Data science Data collection 68

IBM Big Data Hub

MAY 2, 2023

The need for new AI ethics standards Some tech leaders recently called for a six-month pause in the training of more powerful AI systems to allow for the creation of new ethics standards. Therefore, for both the systems in use today and the systems coming online tomorrow, training must be part of a responsible approach to building AI.

Privacy 94

Privacy Government Risk Marketing 94

IBM Big Data Hub

DECEMBER 4, 2023

It offers ease of integration and scalability for analytics and AI workloads using your company’s data, and offers guardrails for ensuring governance, security and compliance. So, why do millions of small enterprises believe that impactful AI is only accessible to big companies with deep pockets?

Education 76

Education Access Marketing Government 76

Collibra

JANUARY 25, 2019

Collibra organized a Data Governance and Business Transformation seminar in Paris recently, bringing together data managers from the financial, retail, transportation, and logistics industries. Digital transformation remains a central business initiative that relies on data. What Forrester describes as “Data Governance 2.0”

Government 40

Government Digital transformation Customer Experience Metadata 40

eSecurity Planet

JANUARY 21, 2021

Governance, risk, and compliance (GRC) software helps businesses manage all of the necessary documentation and processes for ensuring maximum productivity and preparedness. Third-party governance. Like other competitive GRC solutions, it speeds the process of aggregating and mining data, building reports, and managing files.

Compliance 57

Compliance Risk Government Retail 57

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

Data science 54

Data science Big data Analytics Mining 54

IBM Big Data Hub

NOVEMBER 29, 2023

How event processing fuels AI By combining event processing and AI, businesses are helping to drive a new era of highly precise, data-driven decision making. Events as fuel for AI Models: Artificial intelligence models rely on big data to refine the effectiveness of their capabilities.

Artificial Intelligence 84

Artificial Intelligence Unstructured data Analytics Customer Experience 84

Collibra

FEBRUARY 7, 2019

Concerns about risk and compliance can make it daunting to consider more advanced approaches to managing data – will patient data be safe, and will the organization remain compliant? The good news is that a robust data governance program can help solve many of these challenges. Being open to data opportunities.

Government 40

Government Artificial Intelligence Compliance Data Privacy 40

IBM Big Data Hub

JANUARY 25, 2024

Today, a tiny homogeneous group of people determine what data to use to train generative AI models, which is drawn from sources that greatly overrepresent English. The goal of these forms is to capture critical information about AI models so that governance teams can assess and address their risks before deploying them.

Artificial Intelligence 84

Artificial Intelligence Risk Government Communications 84

IBM Big Data Hub

SEPTEMBER 28, 2023

All Granite foundation models have been trained on enterprise-focused datasets curated by IBM. And considering the unpredictability of many LLMs, it’s important to also factor in AI ethics and governance into the model building, training, tuning, testing, and outputs. for clients and partners to work with.

Risk 87

Risk Insurance Data collection Libraries 87

IBM Big Data Hub

NOVEMBER 27, 2023

That’s why we continue expanding the IBM and AWS collaboration, providing clients flexibility to build and govern their AI projects using the watsonx AI and data platform with AI assistants on AWS. .”* However, to be successful they need the flexibility to run it on their existing cloud environments.

Cloud 71

Cloud Security Government Analytics 71

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 68

Insurance Risk Artificial Intelligence Government 68

IBM Big Data Hub

MAY 28, 2024

Data breach victims also frequently face steep regulatory fines or legal penalties. Government regulations, such as the General Data Protection Regulation (GDPR), and industry regulations, such as the Health Insurance Portability and Accounting Act (HIPAA), oblige companies to protect their customers’ personal data.

Data breaches 82

Data breaches GDPR Compliance Encryption 82

Information Governance Perspectives

JANUARY 29, 2024

Dr. Parrish thinks that part of working with a public health authority or a government entity is knowing that’s the case. It is partly about working well with whomever they can, getting as much good data as possible, and processing it efficiently and on time. Big data analysis tools also help organizations like L.A.

Computer and Electronics 52

Computer and Electronics Big data Education Risk 52

IBM Big Data Hub

JANUARY 3, 2024

With today’s new generative AI products, trust, security and regulatory issues remain top concerns for government healthcare officials and C-suite leaders representing biopharmaceutical companies, health systems, medical device manufacturers and other organizations.

Metadata 72

Metadata Healthcare Government Manufacturing 72

IBM Big Data Hub

MAY 6, 2024

Securing generative AI starts with governance Not knowing where to start might be the inhibitor for security action too. To establish trust and security in their generative AI, organizations must start with the basics, with governance as a baseline. 58% seek guidance on an overall strategy and roadmap.

Security 66

Security Risk Government Compliance 66

erwin

AUGUST 20, 2020

In the age of data-driven business, the most common EA use cases are: Digital Transformation. Data Governance. EA provides context and perspective as to how and where data is used, including the applications, policies and processes that leverage it. Big Data Adoption. Data Center Consolidation .

Big data 140

Big data Artificial Intelligence Risk Digital transformation 140

IBM Big Data Hub

AUGUST 22, 2023

When leveraging traditional ML and AI modeling technologies, you must carry out focused training for siloed AI models, which requires a lot of human supervised training. This has been a major hurdle in leveraging data—historical, current and predictive—that is generated and maintained in the siloed process and technology.

Energy and Utilities 74

Energy and Utilities Unstructured data Artificial Intelligence IoT 74

IBM Big Data Hub

MAY 31, 2023

The company was one of the earliest champions of open source, partnering with organizations like Linux, Apache, and Eclipse, pushing for open licenses, open governance and open standards. IBM has a significant history contributing to open-source capabilities.

Analytics 85

Analytics Government Cloud Artificial Intelligence 85

IBM Big Data Hub

SEPTEMBER 20, 2022

There are two factors in a trusted data set: Do you have the right rules and policies for who can access and use data? Do you understand bias that exists in the data, and do you have the right guardrails to use that data for building and training models? Processes that provide AI governance.

Data science 56

Data science Metadata Government Access 56

IBM Big Data Hub

MAY 14, 2024

The finance workforce should be value creators and experience designers, enhancing their analytical and technical skills to be able to train and prompt their assistants—fine-tuning, adjusting and improving the digital service.

Unstructured data 68

Unstructured data Government Cloud Analytics 68

IBM Big Data Hub

JUNE 26, 2023

Possibilities are growing that include assisting in writing articles, essays or emails; accessing summarized research; generating and brainstorming ideas; dynamic search with personalized recommendations for retail and travel; and explaining complicated topics for education and training. What is watsonx.governance?

Retail 64

Retail Compliance Risk Education 64

IBM Big Data Hub

APRIL 11, 2024

The global AI governance landscape is complex and rapidly evolving. Key themes and concerns are emerging, however government agencies must get ahead of the game by evaluating their agency-specific priorities and processes. The term governance can be slippery.

Government 74

Government Education Artificial Intelligence Risk 74

IBM Big Data Hub

JANUARY 8, 2024

With digitization adopted by law firms and court systems, a trove of data in the form of court opinions, statutes, regulations, books, practice guides, law reviews, legal white papers and news reports are available to be used to train both traditional and generative AI foundation models by judicial agencies.

IT 82

IT Artificial Intelligence Digital transformation Metadata 82

IBM Big Data Hub

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

Data science 53

Data science Artificial Intelligence Paper Compliance 53