IBM Big Data Hub

SEPTEMBER 20, 2022

Automated, integrated data science tools help build, deploy, and monitor AI models. In most organizations there are a number of data science tools, making it difficult to govern and manage information, let alone adhere to increasingly strict security, compliance and governance regulations.

Data science 57

Data science Metadata Government Access 57

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 Analytics 51

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. Expanding big data.

Analytics 103

Analytics Blockchain Artificial Intelligence Big data 103

Bill Schmarzo - Dell EMC

FEBRUARY 14, 2018

Check out “ The New Normal: Big Data Business Model Disintermediation and Disruption ” for more details on business model disruption and customer disintermediation. See “ Optimizing the Customer Lifecycle With Customer Insights ” for more details on leveraging big data and data analytics to optimize your customer’s lifecycle.

Artificial Intelligence 102

Artificial Intelligence Analytics Customer Experience Big data 102

IBM Big Data Hub

NOVEMBER 8, 2023

Down to the core We’ve continued to innovate and invest in operating environments on IBM Power to help ensure business continuity, reliability, availability, serviceability and security for clients. Later this month, clients will be able to take advantage of expanded data science services with the release of IBM Cloud Pak for Data V4.8,

Cloud 98

Cloud Digital transformation Data science IT 98

IBM Big Data Hub

OCTOBER 16, 2023

For example, training data for a facial recognition algorithm that over-represents white people may create errors when attempting facial recognition for people of color. Similarly, security data that includes information gathered in geographic areas that are predominantly black could create racial bias in AI tools used by police.

Artificial Intelligence 76

Artificial Intelligence Government Data science Data collection 76

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

NOVEMBER 29, 2023

For instance, if a business prioritizes accuracy in generating synthetic data, the resulting output may inadvertently include too many personally identifiable attributes, thereby increasing the company’s privacy risk exposure unknowingly. Have control and robust protection Not all synthetic data use cases require privacy, but some do.

Privacy 88

Privacy Data Privacy Artificial Intelligence Risk 88

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. An AI system, especially one with such an impact on healthcare, must be fair, explainable, secure and transparent.

Risk 52

Risk Data science Insurance Cloud 52

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 71

Unstructured data Artificial Intelligence Sales Manufacturing 71

IBM Big Data Hub

FEBRUARY 13, 2024

Key considerations: Tech stack: Ensure your existing technology infrastructure can handle the demands of AI models and data processing. Teamwork: Assemble a team with expertise in AI, data science and your industry. Data: High-quality, relevant data is the fuel that powers generative AI success.

Artificial Intelligence 125

Artificial Intelligence Marketing Sales Communications 125

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. Attain buy-in for the proposed roadmap.

Artificial Intelligence 79

Artificial Intelligence Customer Experience Cloud Government 79

IBM Big Data Hub

OCTOBER 16, 2023

It helps you streamline data engineering with reduced data pipelines, simplified data transformation and enriched data. Another benefit is responsible data sharing because it supports more users with self-service access to more data while ensuring security and compliance with governance and local policymakers.

Government 77

Government Risk Artificial Intelligence Metadata 77

Bill Schmarzo - Dell EMC

FEBRUARY 14, 2018

Check out “ The New Normal: Big Data Business Model Disintermediation and Disruption ” for more details on business model disruption and customer disintermediation. See “ Optimizing the Customer Lifecycle With Customer Insights ” for more details on leveraging big data and data analytics to optimize your customer’s lifecycle.

Analytics 40

Analytics Artificial Intelligence Customer Experience Big data 40

The Guardian Data Protection

NOVEMBER 11, 2023

Observer investigation reveals UK Biobank opened its biomedical database to insurance firms despite pledge it would not do so Sensitive health information donated for medical research by half a million UK citizens has been shared with insurance companies despite a pledge that it would not be.

Insurance 109

Insurance Data Privacy Privacy Risk 109

IBM Big Data Hub

AUGUST 7, 2023

Therefore, IBM observes that more clients tend to consult AI leaders to help establish governance and enhance AI and data science capabilities, an operating model in the form of co-delivery partnerships. This results in many groups using a large gamut of AI-based tools that are not fully integrated into a cohesive system and platform.

Healthcare 59

Healthcare Artificial Intelligence Data science Compliance 59

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. HPC uses powerful processors at extremely high speeds to make instantaneous data-driven decisions.

Cloud 116

Cloud e-Delivery Big data e-Discovery 116

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. AI-Powered Cybercrime Despite the advancements in using AI to improve security, cybercriminals also have access to AI and LLMs.

Cybersecurity 140

Cybersecurity Cloud Ransomware Risk 140

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

ARMA International

SEPTEMBER 13, 2021

Organizations use DRM technologies and solutions to securely manage intellectual property (IP) rights and monetize the content. DRM helps ensure the secure and trusted exchange of content between a seller and a buyer and ensures that only the buyer is granted the privileges allowed by the seller. Digital Rights Management (DRM).

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

IBM Big Data Hub

NOVEMBER 14, 2023

Data monetization strategy: Managing data as a product Every organization has the potential to monetize their data; for many organizations, it is an untapped resource for new capabilities. But few organizations have made the strategic shift to managing “data as a product.”

Artificial Intelligence 113

Artificial Intelligence Cloud Analytics Compliance 113

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

IBM Big Data Hub

SEPTEMBER 20, 2023

Continuous monitoring of edge system health Capabilities to manage and push software/security/configuration updates to numerous edge locations—all from a central cloud-based location for day-2 management. The software stack included the Red Hat OpenShift Container Platform and Red Hat OpenShift Data Science.

Cloud 90

Cloud Data science Artificial Intelligence Analytics 90

IBM Big Data Hub

JANUARY 17, 2023

In a lakehouse architecture, the query engine is fully modular and ephemeral, meaning the engine can be dynamically scaled to meet big data workload demands and concurrency. Beyond the basics with data lakehouse governance. SQL query engines can attach to any number of catalogs and storage.

Metadata 52

Metadata Analytics Unstructured data Government 52

John Battelle's Searchblog

JANUARY 25, 2019

First, Data. Big data, data breaches, data mining, data science…Today, we’re all about the data. Let The Data Flow. In my work at Columbia, I’m currently obsessed with two things. How much have you thought about that word in the past two years? And second… Governance.

Government 92

Government IT Marketing ROT 92

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 72

Data science Sales Risk Cybersecurity 72

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. AMC Networks is excited by the opportunity to capitalize on the value of all of their data to improve viewer experiences.

Analytics 67

Analytics Data science Cloud Metadata 67

Reltio

FEBRUARY 3, 2021

Reltio remains the only company that provides a cloud-native multi-tenant, multi-domain MDM platform which delivers real-time data at scale. The Reltio Connected Data Platform provides agility, scale, simplicity, security, and performance unmatched by competitors. This is true innovation. . Unparalleled Performance.

MDM 98

MDM Cloud Marketing B2C 98

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. Perform privacy and security checks along the entire AI lifecycle.

Artificial Intelligence 101

Artificial Intelligence Metadata Military Government 101

IBM Big Data Hub

DECEMBER 7, 2023

Network latency : Geographic distances between data and users can introduce latency issues, affecting query performance. Security and compliance : Ensuring data security and compliance with regulatory requirements in the cloud environment can be complex.

Analytics 63

Analytics Cloud Artificial Intelligence Marketing 63

IBM Big Data Hub

AUGUST 1, 2023

Connecting foundation models with data stores for generative AI success Without secure access to trustworthy and domain-specific knowledge, foundation models would be far less reliable and beneficial for enterprise AI applications.

Artificial Intelligence 60

Artificial Intelligence Marketing Unstructured data Manufacturing 60

IBM Big Data Hub

MAY 9, 2023

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. Watsonx has three components: watsonx.ai , watsonx.data and watsonx.governance.

Artificial Intelligence 109

Artificial Intelligence Cloud Metadata Access 109

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 91

Analytics Cloud IoT Paper 91

IBM Big Data Hub

JULY 5, 2023

This was, without a question, a significant departure from traditional analytic environments, which often meant vendor-lock in and the inability to work with data at scale. Another unexpected challenge was the introduction of Spark as a processing framework for big data. Comprehensive data security and data governance (i.e.

Analytics 67

Analytics Metadata Data migration Data science 67

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 92

Analytics Access Data science IT 92