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 117

Analytics Data science Cloud Artificial Intelligence 117

Collibra

APRIL 9, 2021

Given the data-intensive nature of their operations, it is natural that many insurance companies are looking towards the cloud as an infrastructure choice to help enable more agile data operations. This in turn prompts greater emphasis on data and analytics, says Deloitte insurance partner Reny Vargis-Cheriyan. .

Insurance 59

Insurance Cloud Data science Analytics 59

Collibra

DECEMBER 22, 2022

We can’t see the complex data science and data engineering that’s driving these experiences. We don’t really have any way of knowing if the data is correct. However, data professionals know the challenge to drive data quality continues — as do the risks. The problem with bad data. Enter observability.

Analytics 52

Analytics Data science Government Marketing 52

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 71

Insurance Risk Artificial Intelligence Government 71

Security Affairs

AUGUST 18, 2020

“Investigations of this kind are primarily conducted by Binance’s internal risk intelligence unit known as Binance Sentry as well as an analytics arm, the Security Data Science division.” .” reported the CoinTelegraph. Copyright (C) 2014-2015 Media.net Advertising FZ-LLC All Rights Reserved -->.

Computer and Electronics 103

Computer and Electronics Digital transformation Data science Blockchain 103

The Last Watchdog

JUNE 4, 2019

Within these government labs and agencies, taking place is a groundswell of innovation in deep technology cyber disciplines to the tune of billions of dollars annually over the past three decades. The state counts approximately 109,000 cyber engineers. Two notable examples are Sourcefire, acquired by Cisco for $2.7B

Cybersecurity 193

Cybersecurity Computer and Electronics Data science Marketing 193

CGI

MAY 16, 2018

Not your granddad’s government data sharing: learning from user-centric design. Government agencies collect, analyze and disseminate a large volume of data. But for many agencies, methods for publishing data for public consumption haven’t changed very much. Interactive analytics. Thu, 05/17/2018 - 01:14.

Government 40

Government Data science Analytics Access 40

Collibra

NOVEMBER 23, 2022

It rates an organization’s maturity based on four core pillars: Data Literate Culture, Data Analytics, Data Management, and Data Valuation. The model leverages anonymized data from a subset of Collibra customers as inputs to calculate a maturity level for each industry. on a scale of 1 to 10.

Analytics 94

Analytics Data science Government Marketing 94

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. Creating a data architecture roadmap.

Metadata 52

Metadata Analytics Big data Unstructured data 52

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

Collibra

JUNE 1, 2022

Collibra Adaptive Data and Analytics Governance is available for a free test drive! The foundation of a data-driven organization. Data is more valuable than ever. The key is adaptive data and analytics governance. At Collibra, we believe it’s the next big step forward in data governance. .

Analytics 76

Analytics Government Compliance Metadata 76

IBM Big Data Hub

DECEMBER 20, 2023

Read more about IBM’s AI Ethics governance framework Benefits of a successful AI strategy Building an AI strategy offers many benefits to organizations venturing into artificial intelligence integration. Establish a data governance framework to manage data effectively. Attain buy-in for the proposed roadmap.

Artificial Intelligence 74

Artificial Intelligence Customer Experience Cloud 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 49

Marketing Data science e-Discovery Analytics 49

eDiscovery Daily

FEBRUARY 4, 2020

There are several interesting sessions today related to eDiscovery, Information Governance, Cybersecurity and Data Privacy. Leveraging Technology for Information Governance and Data Privacy. Key takeaways: Cutting-edge LegalTech tools that can classify data, build data maps, and lower data storage costs.

e-Discovery 59

e-Discovery Data Privacy Blockchain Privacy 59

ARMA International

SEPTEMBER 13, 2021

Some technology trends such as real-time data analytics are on-going, while others are more recent, such as blockchain. Organizations use DRM technologies and solutions to securely manage intellectual property (IP) rights and monetize the content. AI using machine learning (ML) involves processing samples of data to learn.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

IBM Big Data Hub

AUGUST 7, 2023

Additionally, biopharma companies may find themselves building out AI capabilities in-house sporadically and without overarching governance. 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.

Healthcare 57

Healthcare Artificial Intelligence Data science Compliance 57

Reltio

DECEMBER 10, 2021

Reltio is a good fit for companies looking for a comprehensive, cloud-based MDM solution across multiple domains.”. “[ Reltio] leverages modern capabilities such as AI/ML, knowledge graph, and embedded analytics to support large and complex MDM deployments.”. Multiple Use Cases and Data Domains.

MDM 98

MDM Analytics Digital transformation Cloud 98

Collibra

OCTOBER 13, 2022

The Gartner 7th Annual CDO survey highlights that driving business outcomes and supporting business decisions demand a full spectrum of analytic capabilities. It is not surprising that the role of CDO has expanded to CDAO to include analytics for delivering value from the enterprise data assets. Business & Data Architecture.

Analytics 52

Analytics Cloud Metadata Government 52

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 65

Analytics Data science Cloud Metadata 65

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

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 75

Data science Manufacturing Artificial Intelligence Retail 75

IBM Big Data Hub

JANUARY 17, 2023

However, most of their raw data remains unused and trapped in data silos, making extracting insights difficult. The rise of cloud object storage has driven the cost of storage down and new technologies have evolved to access and query the data stored in there more efficiently. Beyond the basics with data lakehouse governance.

Metadata 52

Metadata Analytics Unstructured data Government 52

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

eDiscovery Daily

JANUARY 27, 2020

I’ve opened them all up and captured them, so you don’t have to. : o ) Next week during the show, I’ll cover the main conference sessions each day that relate to eDiscovery, Information Governance, Cybersecurity and Data Privacy to give you a complete sense of options. Understand the potential ethical issues around technology.

e-Discovery 50

e-Discovery Data Privacy Blockchain Education 50

IBM Big Data Hub

SEPTEMBER 20, 2023

These include data ingestion, data selection, data pre-processing, FM pre-training, model tuning to one or more downstream tasks, inference serving, and data and AI model governance and lifecycle management—all of which can be described as FMOps.

Cloud 86

Cloud Data science Artificial Intelligence Analytics 86

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. enhances data management through automated insights generation, self-tuning performance optimization and predictive analytics.

Analytics 88

Analytics Cloud IoT Paper 88

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. And as part of those efforts, we’ve created a formal data office.

Marketing 99

Marketing Insurance Analytics Digital transformation 99

IBM Big Data Hub

MAY 9, 2023

The early use cases that we have identified range from digital labor, IT automation, application modernization, and security to sustainability. It helps facilitate the entire data and AI lifecycle, from data preparation to model development, deployment and monitoring.

Artificial Intelligence 107

Artificial Intelligence Cloud Metadata Access 107

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

Collibra

AUGUST 30, 2022

That’s why we’ve created this technical solution workbook: “5 Steps to Successfully Deliver Adaptive Data & Analytics Governance.” ” In it, we walk you through exactly how to get to trusted data. . Why you need adaptive data and analytics governance .

Analytics 52

Analytics Government Data science Compliance 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 84

Education Data science Access Libraries 84

IBM Big Data Hub

SEPTEMBER 25, 2023

But what most people don’t realize is that behind the scenes, Uber is not just a transportation service; it’s a data and analytics powerhouse. Every day, millions of riders use the Uber app, unwittingly contributing to a complex web of data-driven decisions. Consider the magnitude of Uber’s footprint.

Analytics 90

Analytics Access Data science IT 90

IBM Big Data Hub

JULY 5, 2023

Data Lakes have been around for well over a decade now, supporting the analytic operations of some of the largest world corporations. Data could be persisted in open data formats, democratizing its consumption, as well as replicated automatically which helped you sustain high availability.

Analytics 63

Analytics Metadata Data migration Data science 63