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 76

Artificial Intelligence Government Data science Data collection 76

Data Protection Report

APRIL 27, 2023

The key difference between OpenAI’s models and other ANNs is the vast size of GPT-3 and GPT-4’s training corpus and the special mathematical features of the individual ANN nodes called “transformers” that make them particularly adept at analyzing and generating language. There have been many other ANNs prior to OpenAI’s models.

Risk 97

Risk Personal data Privacy Data Privacy 97

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. It leverages sophisticated deep learning systems to create content and is trained on enormous amounts of publicly available online text like Wikipedia. ChatGPT Security Threats.

Cybersecurity 145

Cybersecurity Phishing Data science Blockchain 145

IBM Big Data Hub

SEPTEMBER 20, 2022

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? Automated, integrated data science tools help build, deploy, and monitor AI models. It’s not just about granting proper access to data science teams.

Data science 57

Data science Metadata Government Access 57

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

Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data. In addition to natural language, models are trained on various modalities, such as code, time-series, tabular, geospatial and IT events data.

Government 77

Government Risk Artificial Intelligence Metadata 77

IBM Big Data Hub

DECEMBER 19, 2023

Anomalies are not inherently bad, but being aware of them, and having data to put them in context, is integral to understanding and protecting your business. The challenge for IT departments working in data science is making sense of expanding and ever-changing data points.

Unstructured data 72

Unstructured data Artificial Intelligence Sales Manufacturing 72

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. Efficient and accurate AI requires fastidious data science.

Insurance 74

Insurance Risk Artificial Intelligence Government 74

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

Collibra

DECEMBER 19, 2023

For forward-looking organizations who want to leverage generative AI technologies, the success (or failure) of these efforts often hinges on the quality of the underlying data that fuels AI models. Targeted Training Programs: Develop training programs tailored to various roles within the organization.

Government 52

Government Risk Compliance Privacy 52

eSecurity Planet

JULY 16, 2021

Despite all the cybersecurity defenses in enterprises, the human element matters the most, as phishing attacks remain the top avenue of incursion, accounting for more than 85% of all breaches, according to the annual Verizon Data Breach Investigations Report. That’s where incident response software and services come in.

Analytics 120

Analytics Data science Cloud Artificial Intelligence 120

erwin

APRIL 15, 2020

On a business level, decisions based on bad external data may have the potential to cause business failures. In business, data is the food that feeds the body or enterprise. Better data makes the body stronger and provides a foundation for the use of analytics and data science tools to reduce errors in decision-making.

Government 134

Government Data science Metadata Analytics 134

IBM Big Data Hub

DECEMBER 20, 2023

This calls for the organization to also make important decisions regarding data, talent and technology: A well-crafted strategy will provide a clear plan for managing, analyzing and leveraging data for AI initiatives. Secure the necessary budget to implement the strategy. Secure the necessary budget to implement the strategy.

Artificial Intelligence 79

Artificial Intelligence Customer Experience Cloud Government 79

Collibra

JANUARY 1, 2021

Leverage data and BI tools for analysis and visualization. Data science – Data scientists want easy access to certified, trusted data, so they can quickly build and deploy models that contribute to higher quality analysis that ultimately drives the business forward. Data scientists look to: .

Government 59

Government Compliance Data Privacy Privacy 59

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 . Data science.

Government 52

Government IT Compliance Privacy 52

eSecurity Planet

DECEMBER 19, 2023

And AI security policies will need to extend beyond commercial AI tools to also cover internally-developed GPTs and LLMs” Security teams shy away from formal rules, but sometimes it just has to be done. Yet these dangers can be offset through training to minimize issues.

Cybersecurity 140

Cybersecurity Cloud Ransomware Risk 140

Schneier on Security

NOVEMBER 14, 2019

They come from the social sciences and from computer science. They work in data science, or tech policy, or public-focused computer science. In short, not enough policymakers realize that they need scientists and technologists -- preferably those with some policy training -- as part of their teams.

Artificial Intelligence 85

Artificial Intelligence Data science Government Marketing 85

The Last Watchdog

JANUARY 7, 2019

When CyberTown, USA is fully built out, it’s backers envision it emerging as the world’s premier technology hub for cybersecurity and data science. It’s mission has been to seek out and assist government cyber specialists in a position to enter the private sector and build commercial cyber and data science companies.

Cybersecurity 178

Cybersecurity Data science Retail Government 178

IBM Big Data Hub

SEPTEMBER 20, 2023

Foundational models (FMs), which are trained on a broad set of unlabeled data at scale, are driving state-of-the-art artificial intelligence (AI) applications. First, enterprises produce a vast amount of unlabeled data, only a fraction of which is labeled for AI model training. What are large language models?

Cloud 90

Cloud Data science Artificial Intelligence Analytics 90

ForAllSecure

APRIL 7, 2021

Welcome to the hacker mind and original podcast from for all secure, it's about challenging our expectations about the people who hack for a living. million InfoSec professionals, as of early 2021 How can that be part of the problem lies in the training pipeline, we really have to do a much better job with that.

Cybersecurity 40

Cybersecurity Information Security IT Security 40

ForAllSecure

APRIL 7, 2021

Welcome to the hacker mind and original podcast from for all secure, it's about challenging our expectations about the people who hack for a living. million InfoSec professionals, as of early 2021 How can that be part of the problem lies in the training pipeline, we really have to do a much better job with that.

Cybersecurity 40

Cybersecurity Information Security IT Security 40

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

Data science 79

Data science Manufacturing Artificial Intelligence Retail 79

IBM Big Data Hub

JULY 17, 2023

IBM software products are embedding watsonx capabilities across digital labor, IT automation, security, sustainability, and application modernization to help unlock new levels of business value for clients. Each IBM-trained foundation model brings together cutting-edge innovations from IBM Research and the open research community.

Analytics 67

Analytics Data science Cloud Metadata 67

IBM Big Data Hub

AUGUST 1, 2023

Foundation models: The driving force behind generative AI Also known as a transformer, a foundation model is an AI algorithm trained on vast amounts of broad data. A specific kind of foundation model known as a large language model (LLM) is trained on vast amounts of text data for NLP tasks. All watsonx.ai

Artificial Intelligence 60

Artificial Intelligence Marketing Unstructured data Manufacturing 60

IBM Big Data Hub

FEBRUARY 22, 2024

Artificial intelligence (AI) is transforming society, including the very character of national security. AI literacy is a must-have for security It’s important that personnel know how to deploy AI to improve organizational efficiencies. These are table stakes for the DoD or any government agency.

Artificial Intelligence 102

Artificial Intelligence Metadata Military Government 102

eDiscovery Daily

FEBRUARY 4, 2020

The wave that brought us the chief information officer a few years ago is now creating opportunities for new roles such as data privacy officer, chief information security officer, data science attorney, and chief transformation officer. The business implications.

e-Discovery 59

e-Discovery Data Privacy Blockchain Privacy 59

ARMA International

SEPTEMBER 13, 2021

For example, re-packing corporate records can help weave a narrative to promote a brand, enhance corporate social responsibility outreach programs, improve employee loyalty, enhance diversity, equality and inclusion training, and highlight environment, social and governance initiatives. Content Marketing Platforms (CMP).

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

IBM Big Data Hub

MAY 9, 2023

Unlike traditional ML, where each new use case requires a new model to be designed and built using specific data, foundation models are trained on large amounts of unlabeled data, which can then be adapted to new scenarios and business applications. Train, validate, tune and deploy AI across the business with watsonx.ai

Artificial Intelligence 109

Artificial Intelligence Cloud Metadata Access 109

IBM Big Data Hub

JUNE 8, 2023

Many have turned to IBM’s portfolio of AI offerings, which provides pre-trained AI models that can be integrated into existing applications to improve process efficiency, enabling organizations to direct their resources to more valuable tasks.

Data science 73

Data science Sales Risk Cybersecurity 73

IBM Big Data Hub

NOVEMBER 14, 2023

The key play is to treat data as a strategic asset with a user-centric product approach where this new product can be consumed by a diverse set of applications. Organizations build trust in their data and AI by demonstrating transparency and ethics , recognizing data privacy , adhering to regulations, and keeping data safe and secure.

Artificial Intelligence 113

Artificial Intelligence Cloud Analytics Compliance 113

IBM Big Data Hub

NOVEMBER 13, 2023

But Docker lacked an automated “orchestration” tool, which made it time-consuming and complex for data science teams to scale applications. Overall, Kubernetes provides the flexibility, portability and scalability needed to train, test, schedule and deploy ML and generative AI models.

Cloud 117

Cloud e-Delivery Big data e-Discovery 117

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.

Metadata 68

Metadata MDM Analytics Compliance 68

Collibra

OCTOBER 13, 2022

Collibra Data Intelligence Cloud enables you to score high on all the execution, collaboration, and analytical DCAM capabilities with the integrated offerings of Data Catalog , Data Governance , Data Privacy , Data Lineage , and Data Quality & Observability. Data Quality & Observability.

Analytics 52

Analytics Cloud Metadata Government 52

Collibra

MAY 23, 2022

This is, hands down, the most frequently cited barrier to data democratization—especially among organizations lagging behind the industry leaders. As with any organization-wide change, there will be hurdles to overcome as you train your team on new data-related tools and processes. Security risks. Secure buy-in.

Education 95

Education Access Data science Libraries 95

Troy Hunt

OCTOBER 19, 2017

I'm an independent Australian (I have a Microsoft Regional Director title but RDs don't actually work for Microsoft ) and I specialise in security training folks who build online systems. For the last 4 years, I've also run a free service called Have I Been Pwned (HIBP) which aggregates data breaches and presently contains about 4.8

Data breaches 83

Data breaches Personal data Government IT 83