IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Cloud 57

Cloud Analytics Unstructured data Compliance 57

Everteam

JANUARY 22, 2019

The intersection of Structured and Unstructured Data. Today there is a clear separation on how you manage structured data (database, transactional data) and unstructured data (documents, text, videos, images, email, social media, etc.). Data on legal hold = <1%. Record-worthy data = <2%.

Information governance 58

Information governance Government Unstructured data Analytics 58

IBM Big Data Hub

OCTOBER 12, 2022

Every football season, millions of articles, blog posts, podcasts and videos are produced by the media, offering expert analysis on everything from player performance to injury reports. To identify and distill the insights locked inside this sea of “unstructured” data, ESPN collaborated with IBM to teach Watson the language of football.

Unstructured data 89

Unstructured data Cloud Risk IT 89

eSecurity Planet

SEPTEMBER 22, 2022

Organizations acquire security information and event management tools to consolidate, manage, and provide analysis on security alerts. SIEM tools ingest the security alerts, process the different formats into a common framework, and analyze the data. What is a Security Data Lake?

Security 117

Security Analytics Cloud Unstructured data 117

CGI

DECEMBER 12, 2012

The Campaign for Real Analytics. The surge of interest in “big data” has swung our telescopes towards analytics … but we’ve yet to adjust the focus to see what really matters. The important thing is the kinds of executive decision we can support with data, and how reliably we can support them. ravi.kumarv@cgi.com.

Analytics 40

Analytics Big data Unstructured data Retail 40

IBM Big Data Hub

FEBRUARY 14, 2024

Voice-based queries use natural language processing (NLP) and sentiment analysis for speech recognition so their conversations can begin immediately. Clean up with predictive maintenance AI can be used for predictive maintenance by analyzing data directly from machinery to identify problems and flag required maintenance.

Artificial Intelligence 89

Artificial Intelligence Retail Unstructured data Insurance 89

DLA Piper Privacy Matters

MAY 11, 2020

Create an operationally significant limited exception to deletion and access rights for many types of unstructured data. Definition of cross-context behavioral advertising and limitations that, as noted above, exempts certain analytics functions but clearly targets this activity to do-not-sell obligations.

Privacy 52

Privacy Unstructured data Access Data collection 52

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Data science 60

Data science Big data Analytics Mining 60

Collibra

SEPTEMBER 9, 2022

Duplicate data increases the probability of skewed analytical results. As training data, it can also produce skewed ML models. Rule-based data quality management can help you keep a check on duplicate and overlapping records. Ambiguous data. This situation gets more overwhelming for data streaming at high speed.

Analytics 92

Analytics Customer Experience Marketing Unstructured data 92

IBM Big Data Hub

OCTOBER 3, 2023

Each football season, millions of articles, blog posts, podcasts and videos are produced by the media, offering expert analysis on everything from player performance to injury reports. In fantasy football, success hinges on decisions fueled by information and insights.

Unstructured data 97

Unstructured data Cloud Risk Artificial Intelligence 97

erwin

JUNE 26, 2020

The data catalog is a searchable asset that enables all data – including even formerly siloed tribal knowledge – to be cataloged and more quickly exposed to users for analysis. It is structural and describes data objects such as tables, columns, rows, indexes and connections. for analysis and integration purposes).

Metadata 132

Metadata Unstructured data Compliance Sales 132

IBM Big Data Hub

JANUARY 5, 2023

Critical capabilities of modern high-quality data quality management solutions require an organization to: Enforce data governance across an organization by augmenting manual data quality processes with metadata and AI-related technologies. Perform data quality monitoring based on pre-configured rules.

Metadata 52

Metadata Analytics Big data Unstructured data 52

IBM Big Data Hub

DECEMBER 16, 2022

In other words, a data catalog makes the use of data for insights generation far more efficient across the organization, while helping mitigate risks of regulatory violations. Weeks pass by until the IT team locates and masks the data. Thankfully, a data catalog can help. Improved trust and confidence in data.

Metadata 52

Metadata Data Privacy Access Libraries 52

IBM Big Data Hub

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data.

Mining 59

Mining Marketing Artificial Intelligence Customer Experience 59

Info Source

NOVEMBER 12, 2019

The platform’s patented technologies now harness enhanced AI and ML with natural language processing (NLP) for sentiment analysis and entity extraction. By embedding advanced sentiment analysis and entity extraction into business processes, Kofax Intelligent Automation Platform helps: Improve customer service and loyalty.

Digital transformation 40

Digital transformation Unstructured data Communications Customer Experience 40

Collibra

JUNE 25, 2021

Duplicate data increases the probability of skewed analytical results. As training data, it can also produce skewed ML models. Rule-based data quality management can help you keep a check on duplicate and overlapping records. Ambiguous data. This situation gets more overwhelming for data streaming at high speed.

Analytics 59

Analytics Customer Experience Unstructured data Metadata 59

ARMA International

SEPTEMBER 22, 2021

Some technology trends such as real-time data analytics are on-going, while others are more recent, such as blockchain. For example, once a health record has met the regulatory requirements, the record can be anonymized and kept for years for such purposes as medical research and predictive analytics. Artificial Intelligence.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

Information Management Resources

DECEMBER 19, 2017

With almost all healthcare organizations now using electronic records, computer algorithms will increasingly mine unstructured data to help improve care.

Unstructured data 32

Unstructured data Mining Analytics 32

OpenText Information Management

DECEMBER 3, 2018

That’s why we at OpenText™ are pleased to announce that OpenText™ Magellan™, our AI-powered analytics platform, has been named a Strong Performer in two recent analyst reports on text analytics and machine learning from … The post The hidden message in reams of text appeared first on OpenText Blogs.

Analytics 44

Analytics Unstructured data IT Mining 44

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

Collibra

MAY 19, 2021

AI and ML can provide a tremendous boost to automating analysis and decisions, but it needs high-quality data to harness its true power. With the increasing volume and variety of data arriving at increasing velocity, data quality is proving to be the biggest challenge for trusted analytics and AI.

Analytics 59

Analytics Metadata Unstructured data Access 59

Collibra

AUGUST 7, 2020

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. GCP offers the ability to on-board streaming data via Pub/Sub and IoT Core services, and provides a range of batch upload options via Data Transfer.

Cloud 81

Cloud Government Unstructured data Analytics 81

The Last Watchdog

JUNE 1, 2022

Security teams generally knew which on-premises server held certain batches of both structured and unstructured data; they could narrowly control access to a company’s on-premises data centers, and that was deemed good-enough, security-wise, he says.

Unstructured data 235

Unstructured data Sales Cloud Government 235

OpenText Information Management

APRIL 15, 2024

Let's explore these world-class innovations further: Innovations in OpenText Aviator OpenText™ Analytics & AI Aviator: The metamorphic impact of AI and analytics cannot be overstated. This scalable solution not only powers analytics at lower costs but it also has a positive environmental impact with 50% fewer servers needed.

Cloud 94

Cloud Analytics Digital transformation Customer Experience 94

OpenText Information Management

APRIL 15, 2024

Let's explore these world-class innovations further: Innovations in OpenText Aviator OpenText™ Aviator Platform : The metamorphic impact of AI and analytics cannot be overstated. This scalable solution not only powers analytics at lower costs but it also has a positive environmental impact with 50% fewer servers needed.

Cloud 96

Cloud Analytics Digital transformation Customer Experience 96

eSecurity Planet

SEPTEMBER 13, 2021

Key features in a top threat intelligence platform include the consolidation of threat intelligence feeds from multiple sources, automated identification and containment of new attacks, security analytics, and integration with other security tools like SIEM , next-gen firewalls (NGFW) and EDR. Log correlation and analysis.

Analytics 125

Analytics Cybersecurity Risk Cloud 125

IBM Big Data Hub

JUNE 21, 2023

The solution uses gesture recognition (such as fist pumps and players’ reactions), crowd noise and game analytics (such as break points) to identify highlight-worthy videos in both golf and tennis. Path to the final Based on the AI Draw Analysis, users of the Wimbledon app can also see which opponent each player is most likely to play.

Unstructured data 78

Unstructured data Digital transformation Analytics Government 78

erwin

JUNE 27, 2019

Additional challenges, such as increasing regulatory pressures – from the General Data Protection Regulation (GDPR) to the Health Insurance Privacy and Portability Act (HIPPA) – and growing stores of unstructured data also underscore the increasing importance of a data modeling tool. Perform impact analysis.

Unstructured data 81

Unstructured data Metadata Analytics GDPR 81

IBM Big Data Hub

AUGUST 16, 2022

This process begins with solid and reliable data. At the US Open, this comprises a massive volume of structured and unstructured data from a wide variety of sources: Data on 128 men and 128 women players, including age, height, weight, tour ranking and recent performance. How the IBM Power Index analyzes player momentum.

Unstructured data 111

Unstructured data Artificial Intelligence Analytics Cloud 111

Reltio

OCTOBER 9, 2022

With the advent of big data processing, organizations can translate that data into knowledge that improves decision-making, performance and business processes. The ever-growing field of big data has presented both opportunities and challenges for businesses across a wide range of industries. Challenges in Managing Big Data.

Big data 52

Big data MDM Unstructured data Analytics 52

IBM Big Data Hub

MAY 17, 2023

It promises end-to-end solutions to manage and monitor a fleet of drones, runs inspection missions to capture high-quality data, accesses inspection reports and derives actionable information through AI-driven analytics—all through a single platform.

Energy and Utilities 85

Energy and Utilities Data collection Analytics Mining 85

OpenText Information Management

JUNE 7, 2018

Enlightened leaders take the feelings and interests of their people into account. But how can you tell what they’re thinking, about myriads of subjects? Elections are yes/no questions without nuance. Opinion polls are time-delayed and limited in how much they can ask. And letters are labor-intensive to process.

Unstructured data 54

Unstructured data Analytics 54

Info Source

MARCH 20, 2019

“It allows users to design and deploy intelligent robots that use built-in AI and machine learning to perform functions such as recognizing, classifying, and when needed transforming unstructured data into structured formats. Designing RPA robots quicker and more accurately with volumetric and exception path analysis. ?

Digital transformation 56

Digital transformation Unstructured data Compliance Financial Services 56

eSecurity Planet

AUGUST 17, 2022

There is no substitution for your own testing and analysis, of course, but this list will serve as an introduction to the breadth and depth of our product coverage. Voltage SecureData is a cloud-native solution that’s good for secure high-scale cloud analytics, hybrid IT environments, payment data protection, SaaS apps and more.

Cybersecurity 133

Cybersecurity Security awareness Marketing Cloud 133

CGI

NOVEMBER 6, 2013

This may involve the presentation of unstructured data (e.g. emails), in the context of the vendor or customer object in an ERP system, or the use of analytics engines against social feeds.

B2C 40

B2C Marketing Unstructured data B2B 40

CGI

FEBRUARY 11, 2013

We believe that three of the key elements organisations should focus on when planning their ‘search’ strategies are: Data harvesting from disparate data sources and different formats. Semantic search, using meaning based computing and natural language analytics. Unstructured Social data, sentiment and trend analysis.

Mining 40

Mining Big data Analytics Unstructured data 40

OpenText Information Management

APRIL 15, 2024

This means that organizations can use natural language processing and chat interfaces to converse with their data, bringing insights to users securely. Additionally, OpenText Aviator Search can reach into all media insights by moving beyond only text to gain sentiment analysis with context and key events.

Unstructured data 57

Unstructured data Compliance Analytics Risk 57