Thales Cloud Protection & Licensing

FEBRUARY 6, 2020

Artificial intelligence (AI) is becoming increasingly integral to information security. In fact, in its Reinventing Cybersecurity with Artificial Intelligence report , Capgemini found that 61% of respondents said they can no longer detect data breach attempts without the help of AI.

Artificial Intelligence 107

Artificial Intelligence Data science Information Security Data breaches 107

Information Management Resources

MAY 25, 2018

Agency is collaborating with VA to improve care by leveraging artificial intelligence and analytics through Big Data Science Initiative.

Artificial Intelligence 29

Artificial Intelligence Data science Big data Analytics 29

IBM Big Data Hub

SEPTEMBER 20, 2022

Organizations are increasingly depending upon artificial intelligence (AI) and Machine Learning (ML) to assist humans in decision making. 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

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 70

Unstructured data Artificial Intelligence Sales Manufacturing 70

IBM Big Data Hub

MAY 8, 2023

Artificial intelligence (AI) is polarizing. 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.

Insurance 72

Insurance Risk Artificial Intelligence Government 72

Information Management Resources

FEBRUARY 5, 2019

Wage growth is starting to accelerate, and CIOs could find themselves paying premiums for certain roles in high demand such as data science, AI, security and cloud technology.

Data science 58

Data science Cloud Security Artificial Intelligence 58

IBM Big Data Hub

OCTOBER 16, 2023

Artificial intelligence (AI) adoption is still in its early stages. The Stanford Institute for Human-Centered Artificial Intelligence’s Center for Research on Foundation Models (CRFM) recently outlined the many risks of foundation models, as well as opportunities. Trustworthiness is critical.

Government 76

Government Risk Artificial Intelligence Metadata 76

IBM Big Data Hub

NOVEMBER 29, 2023

With the emergence of new advances and applications in machine learning models and artificial intelligence, including generative AI, generative adversarial networks, computer vision and transformers, many businesses are seeking to address their most pressing real-world data challenges using both types of synthetic data: structured and unstructured.

Privacy 87

Privacy Data Privacy Artificial Intelligence Risk 87

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 113

Analytics Data science Cloud Artificial Intelligence 113

eSecurity Planet

JULY 27, 2023

. “But tools that can extract insight from entirely new data sources and replace manual processes in ways that could not be done at scale before are very interesting.” ” Related: AI Will Save Security – And Eliminate Jobs Be Better Than Competitors There are many point solutions.

Cybersecurity 96

Cybersecurity Marketing Cloud Artificial Intelligence 96

IBM Big Data Hub

FEBRUARY 13, 2024

Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating. Key considerations: Tech stack: Ensure your existing technology infrastructure can handle the demands of AI models and data processing.

Artificial Intelligence 123

Artificial Intelligence Marketing Sales Communications 123

Collibra

JUNE 2, 2022

The use of Artificial Intelligence (AI) is gaining momentum in healthcare. 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

IBM Big Data Hub

AUGUST 7, 2023

Failure to share data and results from randomized clinical trials means a missed opportunity to contribute to systematic reviews and meta-analyses as well as a lack of lesson-sharing with the biopharma community.

Healthcare 58

Healthcare Artificial Intelligence Data science Compliance 58

erwin

JUNE 11, 2020

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. Traditional business models and processes can be detrimental to today’s evolving data-driven society. Data quality management.

Analytics 103

Analytics Blockchain Artificial Intelligence Big data 103

IBM Big Data Hub

OCTOBER 16, 2023

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029.

Marketing 51

Marketing Data science e-Discovery Artificial Intelligence 51

Bill Schmarzo - Dell EMC

FEBRUARY 14, 2018

Additionally, data-driven insights uncover new sources of revenue such as new products, services, markets, audiences, channels, partners, etc. Amazon recently open-sourced their artificial intelligence framework (DSSTNE: Deep Scalable Sparse Tensor Neural Engine) that powers their recommendation engine.

Artificial Intelligence 102

Artificial Intelligence Analytics Customer Experience Big data 102

Bill Schmarzo - Dell EMC

FEBRUARY 14, 2018

Additionally, data-driven insights uncover new sources of revenue such as new products, services, markets, audiences, channels, partners, etc. Amazon recently open-sourced their artificial intelligence framework (DSSTNE: Deep Scalable Sparse Tensor Neural Engine) that powers their recommendation engine.

Analytics 40

Analytics Artificial Intelligence Customer Experience Big data 40

Schneier on Security

NOVEMBER 14, 2019

Consider artificial intelligence (AI). They come from the social sciences and from computer science. They work in data science, or tech policy, or public-focused computer science. It's all changing fast; technology is literally creating the world we all live in, and policymakers can't keep up.

Artificial Intelligence 86

Artificial Intelligence Data science Government Marketing 86

ARMA International

SEPTEMBER 13, 2021

The nomenclature can extend to include Data as a Service (DaaS), Content as a Service (CaaS), and Managed Content as a Service (MCaaS) to deliver digital interaction experiences to customers. More recent technology trends include Blockchain as a Service (BaaS) and Artificial Intelligence as a Service (AIaaS).

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

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 100

Artificial Intelligence Metadata Military Government 100

eSecurity Planet

DECEMBER 19, 2023

We each need to consider how these trends may affect our organizations and allocate our budgets and resources accordingly: AI will turbo-charge cybersecurity and cyberthreats: Artificial intelligence (AI) will boost both attackers and defenders while causing governance issues and learning pains. Bottom line: Prepare now based on risk.

Cybersecurity 140

Cybersecurity Cloud Ransomware Risk 140

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Data science 77

Data science Manufacturing Artificial Intelligence Retail 77

IBM Big Data Hub

NOVEMBER 14, 2023

Data monetization is a business capability where an organization can create and realize value from data and artificial intelligence (AI) assets. A value exchange system built on data products can drive business growth for your organization and gain competitive advantage.

Artificial Intelligence 111

Artificial Intelligence Cloud Analytics Compliance 111

IBM Big Data Hub

SEPTEMBER 20, 2023

Foundational models (FMs) are marking the beginning of a new era in machine learning (ML) and artificial intelligence (AI) , which is leading to faster development of AI that can be adapted to a wide range of downstream tasks and fine-tuned for an array of applications.

Cloud 89

Cloud Data science Artificial Intelligence Analytics 89

CGI

JULY 2, 2019

Considerations when buying managed security services. The trend for organizations of all shapes and sizes in buying managed security services continues to increase, and we’re seeing a rise in interest from all sectors. But with so many managed security service providers out there, how do you choose the right one for you?

Security 45

Security Artificial Intelligence Data science Cybersecurity 45

IBM Big Data Hub

DECEMBER 7, 2023

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. Network latency : Geographic distances between data and users can introduce latency issues, affecting query performance.

Analytics 62

Analytics Cloud Artificial Intelligence Marketing 62

CGI

JANUARY 8, 2019

Considerations when buying managed security services. The trend towards organisations of all shapes and sizes buying managed security services continues to increase and we’re seeing the rise of interest from all sectors. But with so many managed security service providers out there, how do you choose the one that’s right for you?

Security 40

Security Artificial Intelligence Data science Compliance 40

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. Kubernetes can also serve as a flexible tool to support batch job processing involved in high performance computing workloads, which enhances data and code portability.

Cloud 115

Cloud e-Delivery Big data e-Discovery 115

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. The term “foundation model” was coined by the Stanford Institute for Human-Centered Artificial Intelligence in 2021.

Artificial Intelligence 59

Artificial Intelligence Marketing Unstructured data Manufacturing 59

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. “IBM’s launch of watsonx was an awakening, and it has inspired us to deliver unprecedented innovations for our clients.”

Analytics 66

Analytics Data science Cloud Metadata 66

IBM Big Data Hub

MAY 9, 2023

Today is a revolutionary moment for Artificial Intelligence (AI). It provides self-service access to high-quality, trustworthy data, enabling users to collaborate on a single platform where they can build and refine both new, generative AI foundation models as well as traditional machine learning systems.

Artificial Intelligence 109

Artificial Intelligence Cloud Metadata Access 109

IBM Big Data Hub

JUNE 8, 2023

The challenge of staying one step ahead in mobile security Dallas-based Zimperium provides a mobile-first security platform purpose-built for enterprise environments. With machine learning-based protection through a single platform, Zimperium offers customers mobile threat defense and in-app protection.

Data science 71

Data science Sales Risk Cybersecurity 71

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 66

Metadata MDM Analytics Compliance 66

Reltio

NOVEMBER 9, 2020

These leaders are enabling this enterprise-wide transformation by investing in a connected data platform built on a multidomain master data management foundation that delivers a single source of truth for data in real-time at scale with secure API first access and connected graph to unlock the value of relationships.

Customer Experience 72

Customer Experience MDM Retail Data science 72

IBM Big Data Hub

SEPTEMBER 11, 2023

Built on decades of innovation in data security, scalability and availability, IBM Db2 keeps business applications and analytics protected, highly performant, and resilient, anywhere. Thankfully, the IBM Z platform is designed to be one the most securable platforms.

Analytics 90

Analytics Cloud IoT Paper 90

IBM Big Data Hub

SEPTEMBER 25, 2023

Security: Uber adapted Presto to take users’ credentials and pass them down to the storage layer, specifying the precise data to which each user has access permissions. As Uber has done with many of its additions to Presto, they contributed their security upgrades back to the open source Presto project.

Analytics 91

Analytics Access Data science IT 91

IBM Big Data Hub

JULY 5, 2023

Ability to update data (ACID properties) and support transactional concurrency. Comprehensive data security and data governance (i.e. lineage, full-featured data access policy definition and enforcement including geo-dispersed) The above has led to the advent of the data lakehouse.

Analytics 65

Analytics Metadata Data migration Data science 65