The Last Watchdog

JUNE 3, 2022

“The trend that we’re seeing is that more than 30 percent of the content flowing into data lakes is from untrusted sources,” he says. “It’s It’s documents, PDFs, CSV files, Excel files, images, lots of unstructured data; we track 150 different file types. This is the dark side of digital transformation.

Unstructured data 247

Unstructured data Cloud Authentication Digital transformation 247

Security Affairs

JULY 3, 2023

Structured data is highly valuable for generating reports, performing statistical analysis, and gaining insights into operational efficiency. Examples: Customer Personal Identifiable Information, transactional data, inventory records, and financial statements. Examples: XML files, JSON files, and log files.

Unstructured data 98

Unstructured data Metadata Encryption Data structuring 98

IBM Big Data Hub

AUGUST 22, 2023

Digital twins and integrated data For the presentation layer, you can leverage various capabilities, such as 3D modeling, augmented reality and various predictive model-based health scores and criticality indices. Consider some of the examples of use cases from our clients in the industry: Visual insights.

Energy and Utilities 81

Energy and Utilities Unstructured data Artificial Intelligence IoT 81

IBM Big Data Hub

APRIL 8, 2024

To train a generative AI assistant to learn project management, for example, you need a strong set of unstructured data about the work and tasks required. ” Employees also need to be educated and empowered to ask the right questions about AI’s outputs and source data and analyze them for accuracy, bias and more.

Unstructured data 70

Unstructured data Education Compliance IT 70

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data science 84

Data science Analytics Unstructured data Artificial Intelligence 84

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

OpenText Information Management

APRIL 9, 2024

They ingest data produced during the race at speed, including both structured and unstructured data. Each season OpenText™ Vertica helps process more than 3TB of data.

Analytics 62

Analytics Unstructured data Data collection Sales 62

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. A machine learning model trained with labeled data will be able to detect outliers based on the examples it is given.

Unstructured data 72

Unstructured data Artificial Intelligence Sales Manufacturing 72

AIIM

OCTOBER 9, 2018

If the form is standardized, giving the software the precise place to look for data will almost always result in better performance over alternatives such as rules-based approaches using keywords or patterns. And it can do this for structured forms and unstructured documents. Template’s Demise.

Unstructured data 97

Unstructured data Marketing Digital transformation IT 97

IBM Big Data Hub

APRIL 18, 2023

For example, in the Masters app, the My Group feature lets viewers create a personalized highlight reel of their favorite golfers, powered by AI. Our systems let us incorporate that report with structured data to make better predictions.” How did this come about?

Unstructured data 77

Unstructured data Artificial Intelligence Cloud IT 77

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. The retention schedule must apply to all the data in an organization’s possession, not just information officially classified as “records.”

IT 185

IT Unstructured data Privacy Compliance 185

Thales Cloud Protection & Licensing

FEBRUARY 18, 2021

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. Reduced Risk of Exposure.

Compliance 98

Compliance Unstructured data Personal data Big data 98

erwin

AUGUST 15, 2022

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. Figure 3: The types of NoSQL databases.

Cloud 52

Cloud Unstructured data Data structuring Analytics 52

The Last Watchdog

DECEMBER 10, 2018

Sadly, data breaches often occur at this time of year. Related podcast: The need to lock down unstructured data. While it may be the season for data breaches, unfortunately and more importantly, ‘tis the season’ to be proactive. Recently we’ve seen major news stories about breaches at Starwood Hotels and Quora.

Government 126

Government Data breaches Unstructured data Privacy 126

Info Source

OCTOBER 9, 2019

Additionally, ABBYY is testing the application of natural language processing (NLP) technology in FlexiCapture to extend capture capabilities to unstructured documents. NLP will make unstructured data easier to understand, analyze and consume by providing structure through content classification and entity extraction.

Unstructured data 40

Unstructured data Customer Experience Cloud Marketing 40

IBM Big Data Hub

FEBRUARY 14, 2024

For example, Amazon reminds customers to reorder their most often-purchased products, and shows them related products or suggestions. For example, a supply-chain function can use algorithms to predict future needs and the time products need to be shipped for timely arrival. Routine questions from staff can be quickly answered using AI.

Artificial Intelligence 89

Artificial Intelligence Retail Unstructured data Insurance 89

IBM Big Data Hub

OCTOBER 3, 2023

For example, if you have an excellent quarterback on a bye week, your waiver grade might not be as high for a replacement quarterback—given you already have a strong one. Using neural networks and advanced natural language processing, Waiver Grades give a personalized rating for the value a player would add to your team.

Unstructured data 97

Unstructured data Cloud Risk Artificial Intelligence 97

Thales Cloud Protection & Licensing

NOVEMBER 11, 2021

Perhaps more important, it is significantly more challenging to realize the full value and potential of your data to generate insights and intelligence, if all of it is locked down (using encryption for example). But, if not protected properly, sensitive data can be a significant liability should a breach occur.

Encryption 71

Encryption Unstructured data Risk Cloud 71

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

AIIM

OCTOBER 5, 2018

So many examples of situations exist where you face two mutually exclusive options. Document capture software is designed to automate document-oriented tasks such as sorting or extracting key data. Let’s take document capture.

Unstructured data 128

Unstructured data Marketing IT Digital transformation 128

erwin

JUNE 26, 2020

Organizations with particularly deep data stores might need a data catalog with advanced capabilities, such as automated metadata harvesting to speed up the data preparation process. For example, Amazon handles millions of different products, and yet we, as consumers, can find almost anything about everything very quickly.

Metadata 132

Metadata Unstructured data Compliance Sales 132

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 110

Analytics Customer Experience Marketing Unstructured data 110

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

Info Source

MARCH 5, 2019

March 4 , 2019 – NICE (Nasdaq: NICE) today announced that its Robotic Process Automation (RPA) platform now incorporates additional Artificial Intelligence (AI) capabilities to rapidly streamline the processing of unstructured data contained in scanned documentation. Hoboken, N.J.,

Unstructured data 53

Unstructured data Artificial Intelligence Digital transformation Customer Experience 53

IBM Big Data Hub

JANUARY 5, 2023

A data strategy can help data architects create and implement a data architecture that improves data quality. Steps for developing an effective data strategy include: 1. Outlining business objectives you want your data to help you accomplish.

Metadata 52

Metadata Analytics Big data Unstructured data 52

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 60

Data science Big data Analytics Mining 60

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

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

Collibra

DECEMBER 1, 2020

In this post, we’ll highlight the top three most valuable data governance use cases. Each one depends on a data governance and stewardship function already being in place. For example, if you don’t have an approved taxonomy of what data exists in the business, then you can’t adequately tag data as it flows into your lake.

Government 59

Government Analytics Marketing Unstructured data 59

CGI

JULY 16, 2013

I also explained the differences between Structured Data – data in fields such as ‘name’, ‘address’, ‘email address’ etc. and Unstructured Data – i.e data contained within the body of an email such as a phone number (think about your e-Signature as an example).

Unstructured data 40

Unstructured data e-Discovery Analytics Risk 40

OpenText Information Management

MARCH 22, 2024

In a B2B scenario this approach is unusual although not unprecedented - Turkey is one such example. Since a PDF is generally considered to be unstructured data this raised some concerns. Not unexpectedly, these countries saw a complete switch from paper invoices to electronic overnight. It has important implications.

e-Delivery 67

e-Delivery B2B Paper Government 67

CGI

JANUARY 14, 2020

Data from the various sources are checked continuously against the reference model and algorithms are run to detect data quality issues and identify the most accurate information, making it possible to significantly automate data cleansing. Adding value across the ecosystem.

Energy and Utilities 52

Energy and Utilities Unstructured data Marketing Access 52

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

Archives Blogs

NOVEMBER 16, 2018

Dr. Frincke argued that vast and growing sets of “noisy data” (volumes of structured and unstructured data), make AI indispensable to human analysts. The BLS receives a large amount of structured and unstructured data, particularly in the form of written descriptions submitted for injury claims.

Unstructured data 26

Unstructured data Artificial Intelligence Government Communications 26

Role Model Software

JUNE 14, 2021

Given structured data and an algorithm, they can sort through data very quickly. With a different algorithm, they can turn unstructured data into structured data very quickly. They have to have someone produce the data in a way they can access. They have to be told what to do with that data.

Artificial Intelligence 64

Artificial Intelligence Unstructured data Energy and Utilities IT 64

eSecurity Planet

AUGUST 4, 2022

In other words, encrypted data stolen now won’t be safe forever. The benefit to organizations is that they can share confidential data with each other while also ensuring compliance with data privacy regulations. Protects both structured and unstructured data. Key Differentiators.

Encryption 109

Encryption Computer and Electronics Cloud Passwords 109

eDiscovery Daily

AUGUST 7, 2018

Ensuring compliance with laws and regulations that govern data, such as the Sarbanes-Oxley Act or HIPAA. IG will also almost always involve some form of unstructured data, that is, information that either is not in a fielded form in databases or is annotated or otherwise semantically tagged in documents. Manufacturing.

IT 31

IT Unstructured data Information governance Government 31