The Security Ledger

APRIL 16, 2021

Is scraping the same as hacking or just an example of “zealous” use of a social media platform? » Related Stories Episode 206: What Might A Federal Data Privacy Law Mean In the US? Is scraping the same as hacking or just an example of “zealous” use of a social media platform? The post Episode 211: Scrapin’ ain’t.

IT 52

IT Data science Data Privacy Sales 52

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. ChatGPT Security Threats. Phishing accounts for nearly 90% of malware attacks, according to HP Wolf Security research. In a week, the app gained more than one million users.

Cybersecurity 140

Cybersecurity Phishing Data science Blockchain 140

The Last Watchdog

JUNE 4, 2019

Two notable examples are Sourcefire, acquired by Cisco for $2.7B It’s a cybersecurity and data science “foundry” that uniquely helps create, finance and intensely coach brand-new startups manned by former cybersecurity and data science veterans of select federal research centers and national laboratories.

Cybersecurity 193

Cybersecurity Computer and Electronics Data science Marketing 193

Reltio

NOVEMBER 9, 2020

This strategy requires a tight interlock between the data strategy and technology and customer experience processes. . You can't deliver omnichannel connected customer experiences if your data is disconnected across functional silos. Rob Fuller, Customer Data Orchestration Practice Lead, Accenture Interactive.

Customer Experience 72

Customer Experience MDM Retail Data science 72

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 19, 2023

Anomaly detection simply means defining “normal” patterns and metrics—based on business functions and goals—and identifying data points that fall outside of an operation’s normal behavior. 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

MAY 8, 2023

The advent of generative AI , where the AI manipulates your data to create new content, provides an additional risk to corporate data confidentiality. Technological risk—security AI algorithms are the parameters that optimizes the training data that gives the AI its ability to give insights.

Insurance 73

Insurance Risk Artificial Intelligence Government 73

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. Drivers for cloud adoption.

Insurance 59

Insurance Cloud Data science Analytics 59

Reltio

FEBRUARY 3, 2020

And, to complicate the situation, they need to figure out how to comply with emerging privacy laws and security needs. Connected Customer Data is at the Heart of Winning in the Experience Economy. The data innovators we work with play a lead role in their company’s transformation. Register now!

Customer Experience 69

Customer Experience MDM Data science B2C 69

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

Reltio

JUNE 22, 2020

As a result, they use connected customer 360 profiles to power analytics and data science initiatives to get deeper insights about their customers in-the-moment to fuel their innovation roadmap with differentiated products, services and digital experiences. They focus on analytical consistency and value optimization.

Retail 78

Retail MDM Customer Experience Analytics 78

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 84

Education Data science Access Libraries 84

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). For example, many use it to contact users who leave products in their cart or exit their website. Machine learning in financial transactions ML and deep learning are widely used in banking, for example, in fraud detection.

Marketing 51

Marketing Data science e-Discovery Artificial Intelligence 51

Collibra

NOVEMBER 23, 2022

The model leverages anonymized data from a subset of Collibra customers as inputs to calculate a maturity level for each industry. IDC surveyed senior data governance, data quality, data cataloging, and data privacy and security professionals to create The Data Intelligence Assessment tool.

Analytics 94

Analytics Data science Government Marketing 94

IBM Big Data Hub

OCTOBER 3, 2022

In addition, they needed demographic data to ensure appropriate care for the community in need. For example, if a non-Spanish-speaking advocate reaches out to a primarily Spanish-speaking community, the odds of success will be much lower. Organizations need to be able to trust their data science outcomes.

Risk 52

Risk Data science Insurance Cloud 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. Steps for developing an effective data strategy include: 1.

Metadata 52

Metadata Analytics Big data Unstructured data 52

Reltio

MAY 12, 2020

Data innovators have a seat at the table in meetings where transformation discussions happen. They share their point-of-view about the strategic use of data in their company’s transformation. While at the same time, they know they need to have the flexibility to meet specific functional requirements for data. Be a change agent.

Customer Experience 98

Customer Experience MDM Compliance Insurance 98

IBM Big Data Hub

OCTOBER 16, 2023

GPT-3, OpenAI’s language prediction model that can process and generate human-like text, is an example of a foundation model. It helps you streamline data engineering with reduced data pipelines, simplified data transformation and enriched data.

Government 77

Government Risk Artificial Intelligence Metadata 77

Robert's Db2

JULY 28, 2023

Using Db2's REST interface does not involve compromising performance, security or scalability , so I'd say use it when it makes sense. Sure, there could be discussions around dynamic versus static SQL (i.e., non-DBMS-specific) SQL forms such as JDBC and ODBC, but in any case you were talking about SQL, period. When might it make sense?

Archiving 62

Archiving Access Insurance IT 62

Reltio

DECEMBER 10, 2021

“The Reltio MDM solution is part of the Connected Data Platform, which supports all data types in real time for operational, analytical, and data science use cases.”. Reltio scored well in matching, context, governance, business templates, deployment, security, and scalability.

MDM 98

MDM Analytics Digital transformation Cloud 98

IBM Big Data Hub

FEBRUARY 13, 2024

For example, organizations can use generative AI to: Quickly turn mountains of unstructured text into specific and usable document summaries, paving the way for more informed decision-making. Key considerations: Tech stack: Ensure your existing technology infrastructure can handle the demands of AI models and data processing.

Artificial Intelligence 125

Artificial Intelligence Marketing Sales Communications 125

Reltio

JUNE 22, 2020

Security, scaling, and business continuity are fully managed by the customer. A critical element in building a cloud-native solution because of its horizontally scalable nature, typical examples of NoSQL databases are Cassandra, MongoDB, AWS DynamoDB, and Google BigTable. Cloud-hosted. NoSQL database technology.

Cloud 78

Cloud MDM Analytics Data science 78

Collibra

MARCH 4, 2020

Only a decade ago, barely a dozen large corporations had a Chief Data Officer; today, by most accounts, that number has passed 10,000 worldwide. . Their initial role had a lot to with ensuring compliance and securing all data assets. Amongst other responsibilities, they have hard targets to generate revenue using data products.

Marketing 99

Marketing Insurance Analytics Digital transformation 99

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

CILIP

JULY 8, 2019

Ann Hindson particularly praised the UCLQ practice of highlighting differing viewpoints and ways of looking at objects, services and problems plus the use of local examples of research, objects and service providers that were then placed within an international context. Both accreditations were conducted by independent assessors. In depth.

Libraries 40

Libraries Archiving Data science Education 40

ARMA International

SEPTEMBER 13, 2021

Gartner (2021) has two related definitions: Digital Transformation: “can refer to anything from IT modernization (for example, cloud computing), to digital optimization, to the invention of new digital business models.” CDPs apply specialized technologies and pre-built processes that are tailored precisely to meet marketing data needs.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

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

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.

Mining 49

Mining Government Phishing Cloud 49

Information Matters

DECEMBER 7, 2018

Retailers are most at risk globally, with 62% of respondents willing to walk away after a data breach, followed by banks (59%) and social media sites (58%), according to a survey of 10,500 consumers by digital security firm Gemalto.” “Google, Apple and Uber have independently spent millions gathering geospatial data.

IoT 40

IoT Blockchain Personal data Analytics 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. I've got a lot of industry certifications, but having all those paper degrees proved to be a poor equivalent to having actual hands on experience in information security.

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. I've got a lot of industry certifications, but having all those paper degrees proved to be a poor equivalent to having actual hands on experience in information security.

Cybersecurity 40

Cybersecurity Information Security IT Security 40

Bill Schmarzo - Dell EMC

FEBRUARY 14, 2018

For example, Amazon is vertically integrating the grocery industry with their recent acquisition of Whole Foods. for examples of how Amazon is leveraging customer insights to vertically integrate the grocery industry. See “ Analytic Profiles: Key to Data Monetization ” for more details on Analytic Profiles.

Artificial Intelligence 102

Artificial Intelligence Analytics Customer Experience Big data 102

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 78

Data science Manufacturing Artificial Intelligence Retail 78

IBM Big Data Hub

JUNE 8, 2023

Krista Software is an example of how IBM enables business partners to integrate IBM’s embeddable AI software portfolio in their offerings as a cost-effective and risk-averse way to help clients benefit from AI technology without needing to build the infrastructure from the ground up.

Data science 72

Data science Sales Risk Cybersecurity 72

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. For example, have appropriate and inappropriate uses of the model been clearly communicated?

Artificial Intelligence 101

Artificial Intelligence Metadata Military Government 101

Bill Schmarzo - Dell EMC

FEBRUARY 14, 2018

For example, Amazon is vertically integrating the grocery industry with their recent acquisition of Whole Foods. for examples of how Amazon is leveraging customer insights to vertically integrate the grocery industry. See “ Analytic Profiles: Key to Data Monetization ” for more details on Analytic Profiles.

Analytics 40

Analytics Artificial Intelligence Customer Experience Big data 40

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