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

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.

Unstructured data 92

Unstructured data Metadata Encryption Data structuring 92

Thales Cloud Protection & Licensing

FEBRUARY 18, 2021

Visibility across the organization provides the accurate data it needs to make informed decisions. Access to data and visibility provides insights into the locations and types of data held by an organization (Article 50). Analysis: identifies the risk of exposure to guide an effective data protection strategy (Article 50).

Compliance 98

Compliance Unstructured data Personal data Big data 98

Thales Cloud Protection & Licensing

NOVEMBER 11, 2021

It is very complex to execute because digital footprints have expanded from on premises data centers to multiple instances in the cloud and to more distributed workforces. CipherTrust Intelligent Protection finds any type of data wherever it resides.

Encryption 71

Encryption Unstructured data Risk Cloud 71

eSecurity Planet

SEPTEMBER 22, 2022

Organizations acquire security information and event management tools to consolidate, manage, and provide analysis on security alerts. These alerts are generated by the resources of an enterprise such as computers, servers, network traffic, and cloud applications. What is a Security Data Lake?

Security 117

Security Analytics Cloud Unstructured data 117

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. These applications are all hosted on the IBM Cloud to ensure uninterrupted availability.

Unstructured data 97

Unstructured data Cloud Risk Artificial Intelligence 97

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 aspect of the metadata guides data experts on how to work with the data (e.g.

Metadata 132

Metadata Unstructured data Compliance Sales 132

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. Healthcare The healthcare industry is using intelligent automation with NLP to provide a consistent approach to data analysis, diagnosis and treatment.

Artificial Intelligence 89

Artificial Intelligence Retail Unstructured data Insurance 89

IBM Big Data Hub

DECEMBER 16, 2022

Since her company doesn’t have a data catalog, Alex must first communicate with the shoe line-of-business and the jewelry line-of-business departments to ask what data she needs to conduct her analysis. Weeks pass by until the IT team locates and masks the data. Thankfully, a data catalog can help.

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

eSecurity Planet

MAY 30, 2023

Unlike traditional deep learning systems – which generally analyze words or tokens in small bunches – this technology could find the relationships among enormous sets of unstructured data like Wikipedia or Reddit. This involved assigning probabilities to the tokens across thousands of dimensions.

Cybersecurity 131

Cybersecurity Unstructured data Security Privacy 131

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

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve.

Data science 60

Data science Big data Analytics Mining 60

Info Source

JUNE 11, 2019

M-Files for Salesforce brings a full set of purpose-built, AI-powered information management capabilities to Salesforce, including cloud and on-premises content repositories, version history, security, collaboration, workflows, eSignatures, compliance support and more.

Access 40

Access Unstructured data ECM Sales 40

OpenText Information Management

APRIL 15, 2024

As part of OpenText World Europe 2024, I am pleased to introduce the latest Cloud Editions (CE) 24.2. And, as always, we continue to deliver against our 90-day innovation cycles to bring advancements in our Business Clouds, Business AI, and Business Technology.

Cloud 96

Cloud Analytics Digital transformation Customer Experience 96

OpenText Information Management

APRIL 15, 2024

As part of OpenText World Europe 2024, I am pleased to introduce the latest Cloud Editions (CE) 24.2. And, as always, we continue to deliver against our 90-day innovation cycles to bring advancements in our Business Clouds, Business AI, and Business Technology.

Cloud 94

Cloud Analytics Digital transformation Customer Experience 94

ARMA International

SEPTEMBER 22, 2021

This means imagining the “art of the possible” for a new future using a cloud computing model to deliver transformative change. 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.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

Collibra

AUGUST 7, 2020

Cloud data platforms have become a key component of enterprise data architectures, playing a central role in many organizations’ digital transformation strategies. Across all industry verticals, companies are collecting much greater volumes of data, which points to the need for scalable, cost-effective solutions.

Cloud 81

Cloud Government Unstructured data Analytics 81

CGI

DECEMBER 12, 2012

By chance, the CIO has just appointed a “Big Data” supremo. You meet him, and he suggests combining analysis of CCTV footage from the fruit aisle with inflation data, and mixing-in customer comments from Twitter and Facebook. Big data” including image analysis, audio analysis, social media “scraping”, etc.

Analytics 40

Analytics Big data Unstructured data Retail 40

Collibra

SEPTEMBER 9, 2022

In this blog post, let’s discuss some of the most common data quality issues and how we can tackle them. . Duplicate data. Modern organizations face an onslaught of data from all directions – local databases, cloud data lakes, and streaming data. Data Downtime. Data quality problem statement.

Analytics 92

Analytics Customer Experience Marketing Unstructured data 92

The Last Watchdog

JUNE 1, 2022

In order to extract value from the Internet, data sprawl first must get reined in. What good is connecting applications, servers and networks across the public cloud if you’re unable to securely operationalize the datasets that these interconnected systems store and access? This has always been the case.

Unstructured data 235

Unstructured data Sales Cloud Government 235

Collibra

JUNE 25, 2021

In this blog post, let’s discuss some of the most common data quality issues and how we can tackle them. . Duplicate data. Modern organizations face an onslaught of data from all directions – local databases, cloud data lakes, and streaming data. Data Downtime. Data quality problem statement.

Analytics 59

Analytics Customer Experience Unstructured data Metadata 59

IBM Big Data Hub

DECEMBER 1, 2023

To align with key imperatives and transform their companies, insurers need to provide digital offerings to their customers, become more efficient, use data more intelligently, address cyber security concerns and have a resilient and stable offering. The initial use of generative AI is often for making DevOps more productive.

Insurance 108

Insurance Digital transformation Customer Experience Cloud 108

IBM Big Data Hub

JANUARY 16, 2024

To aid in building more sustainable IT estates, IBM has partnered up with Amazon Web Services (AWS) to facilitate sustainable cloud modernization journeys. To read about other key scenarios and entry points of IBM Consulting® Custom Lens for Sustainability, check out the blog post: Sustainable App Modernization Using AWS Cloud.

Energy and Utilities 96

Energy and Utilities IT Cloud Unstructured data 96

eSecurity Planet

SEPTEMBER 13, 2021

IBM X-Force Exchange is a cloud-based, collaborative threat intelligence platform that helps security analysts research threat indicators to help speed up time to action. The platform can also automate threat detection and prioritization with pattern matching and advanced correlation to machine learning and statistical analysis.

Analytics 125

Analytics Cybersecurity Risk Cloud 125

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. Behind Match Insights with IBM Watson.

Unstructured data 111

Unstructured data Artificial Intelligence Analytics Cloud 111

Reltio

OCTOBER 9, 2022

Benefits of a Big Data Management Plan. Forbes reported that 95 percent of businesses say they struggle to manage unstructured data. Big data management involves understanding the 5Vs of big data and using the right tools, technologies, people and processes to manage it effectively. Challenges in Managing Big Data.

Big data 52

Big data MDM Unstructured data Analytics 52

erwin

JUNE 27, 2019

For decades, data modeling has provided the optimal way to design and deploy new relational databases with high-quality data sources and support application development. In today’s hyper-competitive, data-driven business landscape , organizations are awash with data and the applications, databases and schema required to manage it.

Unstructured data 81

Unstructured data Metadata Analytics GDPR 81

eSecurity Planet

AUGUST 17, 2022

The editors of eSecurity Planet have been giving advice to enterprise security buyers for more than a decade, and for the last five years we’ve been rating the top enterprise cybersecurity products, compiling roughly 50 lists to date on every product imaginable, from networks to endpoints and out to the cloud and beyond.

Cybersecurity 133

Cybersecurity Security awareness Marketing Cloud 133

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

Thales Cloud Protection & Licensing

DECEMBER 8, 2020

Having a partial understanding of your data or operating over a reduced area of the problem is like leaving the backdoor open. Data discovery tools can help generate an inventory of structured and unstructured data and help you understand exactly where your company’s data is stored, regardless of the format or location.

Privacy 62

Privacy Digital transformation Data Privacy Risk 62

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

DECEMBER 8, 2022

To begin to answer these questions, it’s instructive to look back at the history of data and data analysis. A short history of data. Data and the analysis of data has a long history that dates back centuries, even millenia. The Egyptians recorded data on papyrus to track commercial transactions.

Metadata 78

Metadata Unstructured data Government Big data 78

Brandeis Records Manager

SEPTEMBER 19, 2016

Massive information analysis, tagging, metadata assignment, and classification are a few of those roles that smart machines, once trained, may cover completely: many on the legal side of our profession have already experienced this through technology-assisted review. Perhaps we will monitor massive data grid activity.

Blockchain 62

Blockchain Records Management Unstructured data Artificial Intelligence 62

IBM Big Data Hub

AUGUST 4, 2023

Data democratization uses a fit-for-purpose data architecture that is designed for the way today’s businesses operate, in real-time. It’s distributed both in the cloud and on-premises, allowing extensive use and movement across clouds, apps and networks, as well as stores of data at rest.

Analytics 66

Analytics Artificial Intelligence Digital transformation Access 66