IBM Big Data Hub

JUNE 23, 2023

To accelerate speed-to-market, grow the business with new innovative products and services, gain new and deeper risk insights, and improve customer experience, most companies are also emphasizing digital transformation. Insurers want to shift from fixed to variable, “pay-as-you-go” operating costs.

Insurance 60

Insurance Cloud Digital transformation Customer Experience 60

ARMA International

SEPTEMBER 22, 2021

Another example is when sensitive information is removed from transaction data after meeting operational requirements, but the data is kept for analytical processing such as market research and trend analysis. Part 3 will discuss how to manage the various DT risks. Enabling CS for DT. The “Art of the Possible” for the End-state.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

Security Affairs

JULY 3, 2023

In an era where data has become the cornerstone of business operations, the loss of vital information can result in severe setbacks and irreparable damage. Whether it’s due to accidental deletion, hardware failure, cyber-attacks, or natural disasters, the loss of valuable data can have devastating impacts on an organization.

Unstructured data 96

Unstructured data Metadata Encryption Data structuring 96

erwin

JULY 2, 2020

Users discuss how they are putting erwin’s data modeling, enterprise architecture, business process modeling, and data intelligences solutions to work. IT Central Station members using erwin solutions are realizing the benefits of enterprise modeling and data intelligence. For Matthieu G., This is live and dynamic.”.

Metadata 122

Metadata Healthcare Libraries Government 122

erwin

MAY 14, 2021

Due to the prevalence of internal and external market disruptors, many organizations are aligning their digital transformation and cloud migration efforts with other strategic requirements (e.g., compliance with the General Data Protection Regulation). Business data is business data, with the main concerns being its veracity and value.

Digital transformation 80

Digital transformation Cloud Data structuring Compliance 80

Security Affairs

MAY 7, 2020

Infostealer market is one of the most remunerative for cyber criminals, information gathered from infected systems could be resold in the cybercrime underground or used for credential stuffing attacks. Introduction. Nowadays, info-stealer is one of the most common threats. Sample information. 3): Figure 3: Evasion Technique.

Data structuring 102

Data structuring IT Marketing Security 102

Collibra

OCTOBER 15, 2020

Your organization has invested heavily in these systems, and they continuously generate valuable operational and transactional data. This data is essential to power analytics and support critical business decisions. As you move towards data catalogs to leverage your data assets effectively, you want all your metadata in one place.

Metadata 75

Metadata Analytics Data structuring Marketing 75

Collibra

FEBRUARY 7, 2020

The crisis, which started in the United States as a result of a collapse in the housing market, threatened to destroy the entire international financial system. According to a study conducted by Mckinsey , having an inefficient data architecture is the number one challenge banks face when trying to comply with BCBS-23.

Compliance 69

Compliance Risk Data structuring Marketing 69

Reltio

APRIL 23, 2019

It’s the people who have no idea what master data is and no time to learn it – but who have all the money – who really need to understand the value of it and what it can do for the enterprise.” . How would you define “modern” data management and what does it /should it mean for organisations that adopt it?

MDM 40

MDM Marketing Big data Cloud 40

Reltio

NOVEMBER 9, 2019

It’s the people who have no idea what master data is and no time to learn it – but who have all the money – who really need to understand the value of it and what it can do for the enterprise.” . How would you define “modern” data management and what does it /should it mean for organisations that adopt it? But what does it enable?

MDM 40

MDM Marketing Big data Cloud 40

CGI

AUGUST 7, 2018

Just as important, because of the actions taken to prepare for GDPR, you may now have: A data audit and registry (internal and ideally third party). In effect, GDPR has put you in a good position to create your next generation data structures, applications and processes. Security and good data management is marketable.

Privacy 40

Privacy GDPR Unstructured data Marketing 40

CGI

SEPTEMBER 25, 2018

While for some, compliance with the General Data Protection Regulation (GDPR) was business as usual (BAU), for others it represented a huge effort—and a bit of a panic for a minority. Just as important, because of the actions taken to prepare for GDPR, you may now have: A registry of the data identified in an audit.

Privacy 40

Privacy GDPR Cybersecurity Unstructured data 40

IBM Big Data Hub

JULY 6, 2023

What is data science? Data science is a broad, multidisciplinary field that extracts value from today’s massive data sets. It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. That’s where data science comes in.

Data science 59

Data science Big data Analytics Mining 59

Gimmal

JUNE 10, 2022

Reinventing Professionals , a podcast hosted by industry analyst, Ari Kaplan , shares ideas, guidance, and perspectives from market leaders shaping the next generation of legal and professional services. We can do that both from various repositories and structured data, structured repositories, endpoints and the like.

Information governance 52

Information governance Government Privacy Risk 52

eDiscovery Daily

NOVEMBER 11, 2019

A data lake, that is. Leave it to Rob Robinson and his excellent Complex Discovery blog to provide links to several useful articles to help better understand data lakes and the potential they have to impact the business world (which, in turn, impacts the eDiscovery world). So, what is it and why should you care? Let’s take a look.

Analytics 59

Analytics Big data Data structuring Metadata 59

CGI

DECEMBER 2, 2016

For open APIs to be interoperable—that is, to work effectively among different parties—there has to be a defined (and agreed upon) data dictionary and data model. Once you have agreed upon the data dictionary and data model, additional issues must be addressed. For example, who will own the data model and update it?

Financial Services 40

Financial Services Digital transformation Marketing Data structuring 40

CILIP

OCTOBER 26, 2018

The value the firm could leverage from its internal data has recently been a strategic focus and changes are already coming thick and fast. ? The databases and technology we use to get into some of that data is what is changing. s internal data and making it accessible to machines will enable technologies like artificial intelligence.

Artificial Intelligence 40

Artificial Intelligence Unstructured data Data structuring IT 40

Adam Levin

APRIL 8, 2019

Unless you live under a bottle cap rusting on the bottom of Loon Lake, you know that if you’re concerned about privacy , Facebook CEO Mark Zuckerberg is the gift that keeps on taking. “I believe a privacy-focused communications platform will be even more important than today’s open platforms,” Zuckerberg said.

Privacy 40

Privacy Artificial Intelligence Data Privacy Passwords 40

Security Affairs

OCTOBER 4, 2019

When a thread that uses epoll explicitly exits using BINDER_THREAD_EXIT, the waitqueue is freed, but it is never removed from the corresponding epoll data structure. I found & reported my first Project Zero bug! link] pic.twitter.com/JbNeGbPog5 — Maddie Stone (@maddiestone) October 4, 2019. ” Stone said.

Cleanup 22

Cleanup Data structuring Access Security 22

CGI

NOVEMBER 26, 2014

As the aviation market changes one of the major challenges will be how to make services and infrastructure more adaptive and responsive. This new connected IoT world supported by new commercial models for data storage, integration and visualisation could see the remote control tower become a reality.

IoT 40

IoT Data structuring Communications Analytics 40

eSecurity Planet

AUGUST 13, 2021

For everything from minor network infractions to devastating cyberattacks and data privacy troubles , digital forensics software can help clean up the mess and get to the root of what happened. The Sleuth Kit enables administrators to analyze file system data via a library of command-line tools for investing disk images. Volatility.

e-Discovery 137

e-Discovery Computer and Electronics Marketing Compliance 137

IBM Big Data Hub

APRIL 5, 2024

Market drivers, regulatory requirements, sustainability goals and resource constraints define the project portfolio and priorities for execution. An industry-standard data model A uniform data model is necessary to get a full view of combined systems with information flowing across the ecosystem.

Energy and Utilities 71

Energy and Utilities Data structuring Risk Marketing 71

Enterprise Software Blog

OCTOBER 4, 2023

Luckily, that’s where low code and App Builder™ come into play, bringing things like unmatched time-to-value, code generation capabilities, data binding, and analytics dashboards. It is always very exciting to build a new app. Maybe you’re using a new technology or platform, or maybe you’re building a whole new experience for your customers.

Digital transformation 59

Digital transformation Marketing IT Data structuring 59

Collibra

APRIL 19, 2023

But it seems like the last few pandemic-dominated years have accelerated everything, especially for modern enterprises deluged with data. Surviving the data deluge By 2025, IDC predicts the datasphere will consist of 32 zettabytes (ZB) (1). That’s a lot of data. And the cloud won’t solve the problem of the data deluge.

Cloud 82

Cloud Government Data structuring GDPR 82

IBM Big Data Hub

MARCH 25, 2022

Nikita Shamgunov (Co-Founder of SingleStore) and I were seeing the signals in the market. The customer also attempted to run it in a data warehouse, which wasn’t good at low latency streaming data ingestion and low latency query support. We founded MemSQL (the original name of SingleStore) in 2011.

Analytics 74

Analytics Marketing Cloud Risk 74

CGI

APRIL 22, 2019

Indeed, blockchain’s distributed data structure results in a significantly higher storage demand compared to traditional centralized databases. However, central systems often suffer from a lack of trust, resulting in “hidden” data silos and often additional labor costs. BY : Sjors Hijgenaar and Adriaan Bijl.

Blockchain 64

Blockchain Energy and Utilities Data structuring Government 64

Reltio

DECEMBER 2, 2020

At Reltio, we’re on a mission to enable digital transformation by delivering a single source of truth for enterprise data designed for the digital experience economy. We disrupted the master data management (MDM) software market when we launched the first cloud-native MDM software-as-a-service (SaaS) platform.

MDM 78

MDM Data migration Digital transformation Customer Experience 78

Everteam

MARCH 12, 2019

“By 2022, 50% of organizations will include unstructured, semistructured and structured data within the same governance program, up from less than 10% today.” Gartner Market Guide for File Analytics. Much of the data we manage today is semi-structured, so why have separate solutions to manage each one?

Unstructured data 84

Unstructured data Metadata Information governance Data structuring 84

eSecurity Planet

JULY 28, 2021

For these industries and more, data storage, identity management, and smart contracts are applications where blockchains could shine. Blockchains are unique from other distributed ledger types due to their data structure, sequence, power needs, real-life implementation, and the use of tokens. A Twist on Distributed Databases.

Blockchain 135

Blockchain Cybersecurity Energy and Utilities IoT 135

Collibra

MARCH 1, 2022

. “We also implemented Hadoop’s analytics platform for our big data needs,” said Vikram. “Having a multi-generational data ecosystem not only creates a predicament for us, it also creates complications for our data consumers. They are also integrating Collibra with their own data quality processes.

Metadata 52

Metadata Cloud Government Analytics 52

Collibra

MARCH 1, 2022

. “We also implemented Hadoop’s analytics platform for our big data needs,” said Vikram. “Having a multi-generational data ecosystem not only creates a predicament for us, it also creates complications for our data consumers. They are also integrating Collibra with their own data quality processes.

Metadata 52

Metadata Cloud Government Analytics 52

John Battelle's Searchblog

NOVEMBER 17, 2013

Because I believe the very same technologies we’ve built to serve real time, data-driven advertising will soon be re-purposed across nearly every segment of our society. Some are a bit more obscure, but nevertheless powerful – microfluidic chips (which may help bring about DNA-level medical breakthroughs) fall into this category.

Retail 112

Retail Insurance Data structuring IT 112

Robert's Db2

DECEMBER 30, 2016

I was with IBM when DB2 was introduced to the market. I believe that the value of IT systems (and the value of the data housed in those systems) is largely dependent on the value of the applications that use those systems (and access that data). As far as I'm concerned, this is as it should be. Who wouldn't want that?

Analytics 48

Analytics Access Cloud Data structuring 48

John Battelle's Searchblog

DECEMBER 26, 2018

Instead of focusing on Facebook, which is structurally borked and hurtling toward Yahoo-like irrelevance, it’s time to focus on that mistake we made, and how we might address it. Bandwidth, responsive design, data storage, processing on demand, generously instrumented APIs; it was all coming together. It’s dumb. Innovation?

Data structuring 102

Data structuring Marketing IT Paper 102