IBM Big Data Hub

DECEMBER 5, 2023

Generative AI excels at handling diverse data sources such as emails, images, videos, audio files and social media content. This unstructured data forms the backbone for creating models and the ongoing training of generative AI, so it can stay effective over time.

Retail 95

Retail Unstructured data Artificial Intelligence Sales 95

AIIM

SEPTEMBER 2, 2021

Most often, this means destruction, though it can also mean transfer to another organization in some cases – for example, to a corporate archive if it has historical value. This graphic from the Compliance, Governance, and Oversight Council (CGOC) shows the breakdown of the information held in a typical organization.

IT 186

IT Unstructured data Privacy Compliance 186

Information is Currency

FEBRUARY 1, 2019

The book “ Get Governed: Building World Class Data Governance Programs ” by Morgan Templar is an excellent book for any information professional to read. In the world of information governance, data governance is only a small slice of the pie. One the important takeaways in this chapter is on p.

Government 40

Government Records Management Information governance Unstructured data 40

erwin

JUNE 26, 2020

It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., legacy systems, data warehouses, flat files stored on individual desktops and laptops, and modern, cloud-based repositories.). This also diminishes the value of data as an asset. Ensures regulatory compliance.

Metadata 132

Metadata Unstructured data Compliance Sales 132

Thales Cloud Protection & Licensing

FEBRUARY 18, 2021

Additionally, organizations are obligated to report any data security incidents or breaches to Brazilian national authorities. It is advantageous to automate the process… considering all the data stores in scope (including local, network, database, big data and cloud) and to cover both structured and unstructured data types.

Compliance 98

Compliance Unstructured data Personal data Big data 98

OpenText Information Management

MARCH 22, 2024

March 2024 German Federal Council officially approves law driving the e-Invoicing mandate On 22nd March 2024 The German Bundesrat - the Federal Council - officially approved the Federal Government's Growth Opportunities Act, which is the legal instrument that includes the provisions for the planned e-Invoicing mandate.

e-Delivery 67

e-Delivery B2B Paper Government 67

IBM Big Data Hub

FEBRUARY 2, 2023

For example, Marriott International built a decentralized hybrid-cloud data architecture while migrating from their legacy analytics appliances, and saw a nearly 90% increase in performance.

Cloud 57

Cloud Analytics Unstructured data Compliance 57

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Privacy Access Libraries 52

IBM Big Data Hub

JANUARY 5, 2023

Meaning, data architecture is a foundational element of your business strategy for higher data quality. Perform data quality monitoring based on pre-configured rules. A data strategy can help data architects create and implement a data architecture that improves data quality.

Metadata 52

Metadata Analytics Big data Unstructured data 52

Collibra

FEBRUARY 3, 2022

The cost of poor data quality is not always measurable. For example, bad decisions based on incomplete or wrong data can result in delayed medical treatment. In one report , mismatched patient data was identified as the third leading cause of preventable death in the United States.

Metadata 52

Metadata Analytics Unstructured data Government 52

Collibra

SEPTEMBER 9, 2022

Incomplete or inaccurate data, security problems, hidden data – the list is endless. Several surveys reveal the extent of cost damages across many verticals due to the problems associated with data quality. Some examples of poor data quality in business include: . Hidden data. Description.

Analytics 96

Analytics Customer Experience Marketing Unstructured data 96

CGI

OCTOBER 14, 2019

It should be clear, for example, how the project would deliver real return on investment for the business. Consider an example use case where banks monitor and analyze business transaction data to establish when corporate customers are going to run out of liquidity. Sourcing data for AI and advanced analytics.

Artificial Intelligence 64

Artificial Intelligence Analytics Customer Experience Big data 64

eSecurity Planet

AUGUST 4, 2022

For data with a shelf life – electronic medical records, bank account information, and national security secrets, for example – where that data will still be valuable in several years, it is critical to get the right encryption in place today to protect that data from being leaked in the future. Data in Use Encryption.

Encryption 132

Encryption Computer and Electronics Cloud Passwords 132

IBM Big Data Hub

JULY 6, 2023

That can be made easier today with virtual data warehouses that have a centralized platform where data from different sources can be stored. One challenge in applying data science is to identify pertinent business issues. For example, is the problem related to declining revenue or production bottlenecks?

Data science 61

Data science Big data Analytics Mining 61

Archives Blogs

NOVEMBER 16, 2018

Speaking at the industry-sponsored media event “ Accelerated AI: Shaping the Future of Government with Artificial Intelligence ” (11/13/2018), in Washington, D.C., Dr. Frincke argued that vast and growing sets of “noisy data” (volumes of structured and unstructured data), make AI indispensable to human analysts.

Unstructured data 26

Unstructured data Artificial Intelligence Government Communications 26

eDiscovery Daily

AUGUST 7, 2018

What is Information Governance? IG, or as it’s also known data governance, is basically a set of rules and policies that have to do with a company’s data. Data access. Data storage & maintenance. Data backup and/or disposal. Accountability for employees handling data. We want to see you!

IT 31

IT Unstructured data Information governance Government 31

Collibra

JUNE 25, 2021

Modern organizations face an onslaught of data from all directions – local databases, cloud data lakes, and streaming data. Duplication of contact details, for example, affects customer experience significantly. Duplicate data increases the probability of skewed analytical results. Hidden data.

Analytics 59

Analytics Customer Experience Unstructured data Metadata 59

Collibra

AUGUST 7, 2020

Across all industry verticals, companies are collecting much greater volumes of data, which points to the need for scalable, cost-effective solutions. They are also collecting a greater variety of data (including structured, semi-structured and unstructured data) that is difficult to describe via a single schema.

Cloud 81

Cloud Government Unstructured data Analytics 81

Everteam

APRIL 16, 2019

One of the most important elements of an information governance program is the proper classification of your data. A central, formal classification scheme is critical, especially when much of the information – structured and unstructured – is used in multiple departments or teams across the organization.

ROT 40

ROT Information governance Metadata Government 40

The Last Watchdog

JUNE 1, 2022

Concentric got its start in 2018 to help companies solve data sprawl — from the data security and governance perspective – and has grown to 50 employees, with $22 million in venture capital backing. Data is the foundational element. I had the chance to visit with Karthik Krishnan, CEO of San Jose, Calif.-based

Unstructured data 235

Unstructured data Sales Cloud Government 235

Reltio

SEPTEMBER 16, 2019

It addresses key trends and requirements such as cloud and multi-cloud enterprise strategies, platform as a service, scalability, flexibility, high-performance expectations, ability to effectively manage large volumes of structured, semi-structured and unstructured data and automated data management and governance via AI and ML.

Analytics 58

Analytics Unstructured data Cloud IoT 58

ARMA International

SEPTEMBER 22, 2021

While these RIM practices are still important to help ensure governance, compliance, and manage risks, it is also important to realize that information is both a product and a service. See Table 1 listing some common examples of the “art of the possible. See Table 2 for a few examples.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

Reltio

JANUARY 28, 2021

The best practices many businesses centered their ERPs and customer data systems on now severely limit their agility and ability to use emerging data sources for competitive advantage. First-generation MDMs: Focus heavily on master data governance to ensure data quality. Examples: . Examples: .

MDM 98

MDM IoT Customer Experience Unstructured data 98

IBM Big Data Hub

AUGUST 17, 2023

The process to create the commentary began by populating a data store on watsonx.data , which connects and governs trusted data from disparate sources (such as player rankings going into the match, head-to-head records, match details and statistics).

Unstructured data 96

Unstructured data Metadata Government IT 96

AIIM

MARCH 13, 2018

Ancestry currently manages about 10 petabytes of structured and unstructured data, including billions of records detailing births, marriages, deaths, military service, and immigration. Ancestry.co.uk hosts the UK’s largest online collection of family history records with more than one billion searchable records.

Digital preservation 94

Digital preservation Archiving Records Management Paper 94

erwin

JUNE 27, 2019

In today’s hyper-competitive, data-driven business landscape , organizations are awash with data and the applications, databases and schema required to manage it. For example, an organization may have 300 applications, with 50 different databases and a different schema for each.

Unstructured data 81

Unstructured data Metadata Analytics GDPR 81

IBM Big Data Hub

AUGUST 17, 2023

The platform enables the USTA to fine-tune its unique data and domain knowledge—drawing on match statistics, rankings and predictions—and combine it with natural language processing tools to generate accurate and compelling commentary.

Digital transformation 57

Digital transformation Unstructured data Access Government 57

Collibra

JULY 27, 2022

Sometimes companies are unable to derive deeper, actionable insights from the data because the data is inaccurate, not accessible, or secure. . Forward-looking companies use data intelligence to remedy these issues. Data intelligence combines factors from data quality and governance to metadata management.

Metadata 52

Metadata Artificial Intelligence Analytics Unstructured data 52

Thales Cloud Protection & Licensing

DECEMBER 8, 2020

Indeed, the “Market Guide for File Analysis Software” report issued by Gartner reveals that through 2024, 80% of information governance programs that do not include unstructured, semi-structured and structured data within the same governance program will fail, up from 30% today. Better data visibility to the rescue.

Privacy 62

Privacy Digital transformation Data Privacy Risk 62

Reltio

JANUARY 28, 2021

Your insights or business actions are as good as the data, so to realize all this power to drive business goals entirely depends on successful master data management (MDM). The companies with master data management best practices in place were confident in the insights they were monitoring on a daily business and pivoted faster.

MDM 98

MDM Customer Experience Marketing Government 98

OpenText Information Management

APRIL 15, 2024

OpenText™ Aviator Search : We have introduced a generative-AI chat user interface (UI) with referenced knowledge discovery for our unstructured data analytics solution, OpenText™ IDOL™, leveraging generative-AI and large language models (LLMs) for knowledge gathering, without replication or relocation.

Cloud 96

Cloud Analytics Digital transformation Customer Experience 96

OpenText Information Management

APRIL 15, 2024

OpenText™ Aviator Search : We have introduced a generative-AI chat user interface (UI) with referenced knowledge discovery for our unstructured data analytics solution, OpenText™ IDOL™, leveraging generative-AI and large language models (LLMs) for knowledge gathering, without replication or relocation.

Cloud 94

Cloud Analytics Digital transformation Customer Experience 94

IBM Big Data Hub

JANUARY 16, 2024

Companies are also striving to balance this innovation with growing environmental, social and governance (ESG) regulations. This varies based on workload characteristics; for instance, in the media or streaming industry, data transmission over the network and storing large unstructured data sets consume considerable energy.

Energy and Utilities 97

Energy and Utilities IT Cloud Unstructured data 97

eSecurity Planet

SEPTEMBER 13, 2021

LookingGlass Cyber Solutions is an open source-based threat intelligence platform that delivers unified threat protection against sophisticated cyberattacks to global enterprises and government agencies by operationalizing threat intelligence. It’s augmented by a worldwide team of security analysts who enrich the data feeds.

Analytics 125

Analytics Cybersecurity Risk Cloud 125

Collibra

DECEMBER 8, 2022

With the rise of the Internet at the turn of the 21st century, companies like Yahoo, Amazon, and Google started to analyze customer behavior via clickthrough rates, IP-specific location data, and search logs. HTTP-based web traffic drove a massive increase in structured and unstructured data. Today’s challenge: Trusted data.

Metadata 82

Metadata Unstructured data Government Big data 82

erwin

MARCH 26, 2020

The confluence of this data explosion has created a fertile environment for data innovation and transformation. As a result, we’re seeing the rise of the “citizen analyst,” who brings business knowledge and subject-matter expertise to data-driven insights. Improving data literacy. Simplifying data accessibility and use.

Unstructured data 90

Unstructured data Artificial Intelligence Analytics Access 90

IBM Big Data Hub

AUGUST 4, 2023

Data democratization instead refers to the simplification of all processes related to data, from storage architecture to data management to data security. It also requires an organization-wide data governance approach, from adopting new types of employee training to creating new policies for data storage.

Analytics 66

Analytics Artificial Intelligence Digital transformation Access 66