The Last Watchdog

SEPTEMBER 7, 2022

An unsuspecting employee will open a legitimate-looking message and click a link or download a file that releases embedded malware onto their machine or the broader company network. The price tag of the ransom is just one of the many costs of these attacks, and remediation can often exceed this fee many times over. Incident response.

Ransomware 124

Ransomware Education Phishing Financial Services 124

Collibra

JANUARY 6, 2021

According to Gartner, who coined the term, an augmented data catalog is a data catalog that uses machine learning to automate the manual task of cataloging data. The foundational feature of an augmented data catalog is its ability to automate manual tasks through machine learning.

Metadata 64

Metadata Analytics Government Compliance 64

eSecurity Planet

MARCH 15, 2021

Success in implementing microsegmentation for your organization means tagging traffic, servicing regular business communications, adapting to threats , and denying all other anomalies. . Utilizing a hypervisor can eliminate the need to manage and patch software for each machine. Tag Your Workloads. Prioritize application groups.

Communications 68

Communications Cloud Compliance Security 68

The Last Watchdog

NOVEMBER 19, 2018

Many of these photos are tagged with the identity of the people in them. We are also seeing tremendous progress in the science and machine learning required for the recognition of faces in those photos, in part powered by the huge amount of training material available. This kind of technology would have many applications.

Privacy 118

Privacy Authentication Marketing Retail 118

Collibra

DECEMBER 13, 2022

Specifically this year both companies gave greater focus to enabling governance of data policies and tagging as well as better lineage harvesting. . Snowflake includes an extensive set of native governance capabilities, expressed through SQL, for tag and data policy management. Collibra Protect. Data Quality and Observability.

Government 52

Government Metadata Sales Cloud 52

Info Source

JANUARY 16, 2019

Modernizing Digital Transformation From Migration To Machine Learning. The Tech Mahindra solutions framework utilizes machine learning technologies with the Alfresco Digital Business Platform to enable real business outcomes across multiple industry use cases.”. Customers today are digitally sophisticated.

Digital transformation 40

Digital transformation Cloud Artificial Intelligence Customer Experience 40

IBM Big Data Hub

FEBRUARY 14, 2024

Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed. Agricultural machines can engage in autonomous pruning, moving, thinning, seeding and spraying.

Artificial Intelligence 86

Artificial Intelligence Retail Unstructured data Insurance 86

Collibra

OCTOBER 13, 2021

Ultimately, CDOs do not want to migrate over bad data which can lead to bad reporting, lack of trust in reports and machine learning models. As the data is ingested, it is linked to policies, which can in turn be linked to Google Cloud policy tags. Collibra Data Quality solves these challenges with machine learning.

Cloud 52

Cloud Metadata Data migration Digital transformation 52

eDiscovery Daily

JANUARY 2, 2024

With the largest challenge in deriving context from cross platform communications facing legal teams today, near native (looks like a document) renderings of communications allow teams to see conversations navigating between communications applications and tag each message with the proper tag.

Communications 41

Communications Artificial Intelligence Data collection Education 41

AIIM

NOVEMBER 16, 2017

You might also be interested in: Mitigate Data Privacy and Security Risks with Machine Learning. However, advances in machine learning technologies are proven to improve the accuracy and reliability of automating data discovery, extraction and classification processes. The Privacy and Security Dichotomy.

GDPR 101

GDPR Compliance Privacy Paper 101

Collibra

MAY 30, 2023

Collibra uses Machine Learning (ML) to detect anomalies and auto-generate data quality rules. 6. Data discovery and enforcement for compliance Automate data discovery, validation, and compliance with intelligent tags and hundreds of out-of-the-box industry-specific rules.

Cloud 96

Cloud Analytics Compliance IT 96

IBM Big Data Hub

JANUARY 24, 2024

In planning, Turbonomic software takes the efficiencies of different hardware and depreciation schedules into account, plugging in tags to indicate when leases expire. By creating the appropriate policies to merge clusters (even between vCenters® and data centers), virtual machines can be live migrated to their new destination.

Cloud 65

Cloud Compliance Security IT 65

IBM Big Data Hub

NOVEMBER 28, 2022

Suppose that a new data asset becomes available but remains hidden from your data consumers because of improper or inadequate tagging. Active metadata management uses Machine Learning to automate metadata processing and use the outcomes of that metadata analysis to help drive decisions through recommendations, alerts and more.

Metadata 57

Metadata Data Privacy Compliance Government 57

Collibra

MAY 4, 2021

This jointly developed service brings together data engineering, data science, analytics and machine learning through an open lakehouse platform. Tagging, governance and classification to ensure the data housed in Databricks on Google Cloud is trustworthy and easy to find . Collibra offers: .

Cloud 64

Cloud Analytics Data science Government 64

IBM Big Data Hub

JUNE 20, 2023

Through machine learning , operational data analytics and predictive asset health monitoring, today’s top-performing asset lifecycle management strategies optimize maintenance and reduce reliability risks to plant or business operations. Put simply, it’s about fixing things before they break. appeared first on IBM Blog.

Analytics 74

Analytics IoT Compliance Manufacturing 74

Everteam

SEPTEMBER 20, 2019

Machine learning, deep learning, and natural language processing technologies can search disparate data from multiple repositories and analyzes it to enhance metadata, classify content, and manage document lifecycles. Information Governance increasingly spans multiple players – either service providers, partner organizations, customers, etc.

Information governance 40

Information governance Blockchain Government Records Management 40

Collibra

JANUARY 23, 2023

To begin with, as the memo acknowledges, it will be challenging for many agencies to develop an accurate approach to categorizing data and tagging data. Reflected in the federal zero-trust strategy is the calling out of agencies’ data categorization directly fueling this maturity characteristic.

Government 52

Government Access Authentication Security 52

eDiscovery Daily

NOVEMBER 11, 2019

There are no constraints on where the data hails from , but it’s a good idea to use metadata tagging to add some level of organization to what’s ingested, so that relevant data can be surfaced for queries and analysis.”. “To Or, a data team could leverage machine learning in a data lake to find “a needle in a haystack,” O’Neal says.

Analytics 59

Analytics Big data Data structuring Metadata 59

Info Source

NOVEMBER 9, 2018

in the spring of 2018 and Smart Learning capability introduced with FormXtra.AI Once the tagged sample data is imported, FormXtra.AI In the new release of FormXtra.AI, image preprocessing functions have been added to the Smart Learning process. Representative Sample Data and Machine Learning. And last, FormXtra.AI

Sales 40

Sales Marketing IT 40

Everteam

JANUARY 22, 2019

2) The impact of AI, Machine Learning, Biometrics and Big Data on data capture, document management and Archiving. 3) Smart and intelligent document classification,, auto-tagging capabilities used for enhancing archiving and records management.

Archiving 40

Archiving ECM Big data Artificial Intelligence 40

The Security Ledger

AUGUST 6, 2020

We discuss one recent example of this, the so-called GEFiltergate incident, which saw a fridge owner going to great lengths to circumvent GE implanted RFID tags in GE-approved water filters. . In this conversation Corey and I talk about the insidious spread of DRM and digital monopolies. Satya Gupta is the CTO of Virsec.

Artificial Intelligence 52

Artificial Intelligence Manufacturing Security Information Security 52

Everteam

MAY 29, 2019

To efficiently manage data, Everteam developed everteam.iFile, a solution based on Artificial Intelligence and Machine Learning to find, identify, manage and process information regardless of its location. These documents will be classified as per predefined criteria Via Machine Learning and Artificial Intelligence.

Artificial Intelligence 75

Artificial Intelligence Insurance Metadata Big data 75

IBM Big Data Hub

AUGUST 16, 2023

One way that organizations can do this is through cost allocation tagging; this provides deeper visibility into tracking cloud usage and associated costs, providing visibility into excess costs within compute and memory. Intelligent tools based on machine learning algorithms and other predictive technologies can assist in this regard.

Cloud 67

Cloud Digital transformation Access IT 67

ARMA International

AUGUST 19, 2020

These three terms were also added for clarity: Automation : broadening of the existing term “process automation” Information lifecycle management: narrowing of the existing term “information management” to this specific approach Natural language processing (NLP): narrowing of the existing terms “artificial intelligence” and “machine learning”.

ROT 65

ROT Records Management Metadata Artificial Intelligence 65

eDiscovery Daily

OCTOBER 14, 2021

Learn how you can grow your organization sustainably without sacrificing quality in our eBook: 4 Ways Legal Service Providers Can Built Value & Boost Margins. Make sure you have enough data storage and human resources for your machine/workflow. That last document isn’t extracted which means it’s not indexed or searchable. .

Data collection 41

Data collection Risk IT 41

erwin

AUGUST 15, 2022

Machine Learning. Meet with fellow erwin users and learn how to use our solutions efficiently and strategically. Hear about product roadmaps, new features/enhancements, interact with product experts, learn about customer successes and build and strengthen relationships. Business Focus. Operational. Operational Tactical.

Cloud 52

Cloud Unstructured data Data structuring Analytics 52

ChiefTech

NOVEMBER 19, 2012

E-mail was seen a beneficial because salespeople felt less isolated and it reduced the problem of playing telephone tag. However, email didn't have a completely free ride - during this entire period and into the mid 2000s, the fax machine continued to compete strongly with email. Source: Yovovich, B. The interface factor.

Computer and Electronics 91

Computer and Electronics Communications Retail Sales 91

Collibra

JULY 22, 2020

Sometimes they do this because they don’t know where to start, assume it requires too much heavy lifting, and fear a hefty price tag. Active metadata management : Enhance metadata with machine learning (ML), automation and human intelligence.

Government 59

Government Metadata Cloud Compliance 59

Collibra

OCTOBER 14, 2021

Predictive data quality applies the latest advancements in data science and machine learning to the problem of data quality. Automatic classification and tagging for an enhanced data shopping experience. Making sure data is of a high quality involves rules. Lots and lots of rules.

Analytics 52

Analytics Government Compliance Data science 52

Collibra

JULY 22, 2020

Sometimes they do this because they don’t know where to start, assume it requires too much heavy lifting, and fear a hefty price tag. Active metadata management : Enhance metadata with machine learning (ML), automation and human intelligence.

Government 52

Government Metadata Compliance Digital transformation 52

Info Source

JULY 12, 2018

Through the use of advanced machine learning and AI-related technology, our software can read and analyze documents like a human would. For photographs, we analyze and tag the content. If it doesn’t get it right, the user can change the classification, and our system will learn from that.

ECM 40

ECM Marketing Cloud Unstructured data 40

Collibra

APRIL 8, 2020

On the other end are advanced options, such as recommendations generated through a machine learning algorithm. This is the perfect place to display data products for wider distribution: metadata, tags, ratings, comments, owners, etc. . registered on ingestion into the data platform) and reports (e.g.,

Marketing 59

Marketing Customer Experience Metadata Cloud 59

Troy Hunt

AUGUST 5, 2021

These machines came courtesy of the Insiders program so full disclosure, I didn't pay for them. But also full disclosure, I do buy Lenovo machines at full retail with my own hard-earned dollars because frankly, they're awesome: Bought @charlottelyng a *very* nice Lenovo ThinkPad X1 Extreme to replace her MacBook Pro.

Education 28

Education Retail IT Libraries 28

Archives Blogs

NOVEMBER 16, 2018

The technical solutions developed at the BLS employ “training data,” a type of AI based on supervised Machine Learning (ML) to find patterns in large amounts of inputs received. The technology works by tagging and orchestrating large amounts of “noisy data” into a system.

Unstructured data 26

Unstructured data Artificial Intelligence Government Communications 26

ARMA International

SEPTEMBER 13, 2021

AI using machine learning (ML) involves processing samples of data to learn. Then using what was learnt learning to run data analytics on vast amounts of content from many sources. When tagging and auto-classifying content, the AI engine can extract metadata to provide context to unstructured content.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

Thales Cloud Protection & Licensing

APRIL 17, 2024

Stealing the Model: AI models are the crown jewels of organizations leveraging machine learning algorithms. Data poisoning involves injecting malicious inputs into training datasets, corrupting the learning process, and compromising the model's performance. This should help them stay a step ahead of adversaries.

Risk 71

Risk Artificial Intelligence Privacy Data collection 71

Info Source

JANUARY 28, 2021

Innovative unified solution combines data capture powered by machine learning, Robotic Process Automation and Content Services…. It also enables organizations to automate document handling processes using the built-in machine learning and Robotic Process Automation technologies within the platform. Process services.

Cloud 78

Cloud Digital transformation ECM Content services 78