IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data science 76

Data science Analytics Unstructured data Artificial Intelligence 76

OpenText Information Management

AUGUST 4, 2022

One of the best ways to stand out from the crowd is to know your customers – mining insights from their behaviors to improve the overall journey. Get closer to your customers with multi-channel interaction analytics in … The post Make smarter decisions with customer insights and analytics appeared first on OpenText Blogs.

Analytics 65

Analytics Customer Experience Mining Communications 65

IBM Big Data Hub

MAY 17, 2023

Auto-discovery tools like process mining — a tool gaining popularity with organizations — does just that. 36% of respondents polled primarily use automated discovery tools like process mining, which improve their ability to analyze processes objectively and at scale.

Mining 70

Mining IT Analytics Communications 70

OpenText Information Management

JULY 16, 2024

Managing complex investigative analytics As businesses and investigations grow, so does the amount of data they generate which must be included in any analysis. They must also streamline their analytics workflows and improve collaboration internally and externally. Locations (places, postcodes, etc.),

Analytics 59

Analytics Unstructured data Data structuring Mining 59

The Last Watchdog

SEPTEMBER 18, 2018

But with no orderly internal framework, unstructured data defies data mining tools. Most human communication is via unstructured data; it’s messy and doesn’t fit into analytical algorithms. For structured data, users can run simple analysis tools, i.e., content searches, to find what they need. Ransomware target.

Unstructured data 194

Unstructured data Ransomware Mining Encryption 194

OpenText Information Management

NOVEMBER 14, 2018

Analytics are no longer just a matter of “crunching the numbers” in a database or spreadsheet. But ordinary analytics techniques have trouble extracting meaning from the complexity and nuances of human language. But ordinary analytics techniques have trouble extracting meaning from the complexity and nuances of human language.

Mining 53

Mining Unstructured data Analytics Metadata 53

Schneier on Security

NOVEMBER 27, 2023

There seems to be no end to warrantless surveillance : According to the letter, a surveillance program now known as Data Analytical Services (DAS) has for more than a decade allowed federal, state, and local law enforcement agencies to mine the details of Americans’ calls, analyzing the phone records of countless people who are not suspected of any (..)

Mining 131

Mining Analytics Privacy 131

Bill Schmarzo - Dell EMC

MARCH 5, 2018

The conversation is simple because the objective is simple: How do I become more effective at leveraging (big) data and analytics (artificial intelligence) to power my business? If success is simply adopting and deploying advanced analytics technologies, then you don’t need strategic guidance to chart that journey. It’s simple.

Artificial Intelligence 111

Artificial Intelligence Analytics Big data Mining 111

Information Management Resources

JANUARY 6, 2020

Data mining can help enterprises identify anomalies, patterns, and correlations within large unstructured data sets to predict business outcomes.

Mining 45

Mining Unstructured data Analytics 45

OpenText Information Management

JULY 20, 2021

Organizations need a way to better understand the information within their enterprise stores, as well as the analytics technologies they leverage to deliver the most relevant insights. OpenText AI & … The post Announcing OpenText AI and Analytics CE 21.3 appeared first on OpenText Blogs.

Analytics 65

Analytics Unstructured data Mining 65

Security Affairs

FEBRUARY 15, 2019

The GTM tag management system allows developers to inject JavaScript and HTML content within their apps for tracking and analytics purposes. “As soon as the apps are downloaded and launched, they fetch a coin-mining JavaScript library by triggering Google Tag Manager (GTM) in their domain servers. .”

Mining 111

Mining Libraries Analytics Security 111

OpenText Information Management

APRIL 8, 2020

The current global pandemic is bringing new significance to the word “disruptive,” bringing extreme levels of uncertainty and testing the leadership and response of companies, public sector organizations and the … The post Announcing OpenText AI & Analytics Cloud Editions (CE) 20.2 appeared first on OpenText Blogs.

Analytics 69

Analytics Cloud Marketing Mining 69

IBM Big Data Hub

APRIL 15, 2024

Data virtualization bridges this gap, allowing organizations to use their existing data sources with flexibility and efficiency for AI and analytics initiatives. This serves as a single point of reference for analytics, reporting and data-based decisions, resulting in increased accuracy and quicker generation of valuable insights.

Analytics 64

Analytics Artificial Intelligence Marketing Access 64

DXC Technology

DECEMBER 22, 2021

Through process mining and visualization, organizations can identify things such as key bottlenecks and look for ways to deal with those troubling pinch points. The post Process mining and visualization steer digital transformation appeared first on DXC Blogs. When large amounts of business data […].

Digital transformation 52

Digital transformation Mining IT Analytics 52

IBM Big Data Hub

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? When used strategically, text-mining tools can transform raw data into real business intelligence , giving companies a competitive edge. How does text mining work?

Mining 53

Mining Marketing Artificial Intelligence Customer Experience 53

AIIM

DECEMBER 20, 2018

Those who have been practicing Human resource management for years knows the importance of relying on data analytics for creating an enhanced work culture or else they might lag behind that of other departments. Think of using HR analytics models which use existing records of successful candidates to create profiles of high performers.

Big data 127

Big data Analytics Mining Insurance 127

IBM Big Data Hub

JULY 24, 2023

This has led to an increase in the importance of IT operations analytics (ITOA), the data-driven process by which organizations collect, store and analyze data produced by their IT services. Organizations can use all this data to understand the overall health of their system through IT operations analytics. billion business.

Analytics 54

Analytics IT Big data Cloud 54

The Last Watchdog

MARCH 1, 2019

Enter SOAR, the acronym for “security operations, analytics and reporting.” This, in short, is the multi-headed hydra enterprises must tame in order to mitigate rising cyber risks. Smart money.

Digital transformation 193

Digital transformation Marketing Analytics Risk 193

Collibra

MARCH 12, 2024

What is advanced analytics? The term “advanced analytics” gained widespread recognition in the fields of data analysis and business intelligence (BI) during the early 2000s. Today, advanced analytics encompasses a broad array of techniques and methodologies used to extract deep insights from data.

Analytics 52

Analytics Mining Metadata Big data 52

Thales Cloud Protection & Licensing

JUNE 14, 2018

But they’d also be working to supplement their stripe recognition and biometrics with behavioral analytics. In the following paragraphs, I will focus on behavioral analytics and how it can help us detect increasingly sophisticated impersonation and fraud attempts. For more information about Entrust, please visit our partner page.

Analytics 54

Analytics Mining Authentication Big data 54

The Last Watchdog

AUGUST 29, 2018

Network traffic analytics, or NTA , just may be that pivotal step forward. NTA refers to using advanced data mining and security analytics techniques to detect and investigate malicious activity in traffic moving between each device and on every critical system in a company network.

Digital transformation 140

Digital transformation Security Analytics Access 140

Info Source

OCTOBER 6, 2020

NYSE: AYX), a leader in analytic process automation (APA ), to deliver process intelligence capabilities that complement the Alteryx Analytic Process Automation Platform. The Alteryx APA Platform unifies analytics, data science and data-centric process automation in one self-service platform. MILPITAS, Calif.,

Analytics 40

Analytics Digital transformation Mining Data science 40

The Last Watchdog

MARCH 17, 2020

Right now cloud-stored data has to be downloaded and decrypted in order to conduct a search or do any sort of analytics. But what if searches and data analytics could be done in the cloud, without ever decrypting – and, thus, exposing the underlying data? And it would open up new areas of data mining.

Encryption 171

Encryption Cloud Authentication IoT 171

OpenText Information Management

JANUARY 8, 2020

What’s the difference between data mining and text mining? Even though data mining and text mining are often seen as complementary analytic processes that solve … The post The most read OpenText blogs of 2019 appeared first on OpenText Blogs. Here are the top 10 stories that caught your eye in 2019: 1.

Mining 11

Mining Analytics 11

OpenText Information Management

DECEMBER 19, 2024

Document Mining and Analytics. OpenText Knowledge Discovery (IDOL) was named a leader in the 2024 Forrester Wave for Document Mining and Analytics Platforms. The report highlights the unmatched performance of our solution in AI content management, complex data mining across all data types, and unstructured data analytics.

Content services 65

Content services Mining Archiving Analytics 65

OpenText Information Management

SEPTEMBER 16, 2024

1 The ratio between man and machine All industries use machines, yet the energy and resources sector including utilities , oil and gas , chemicals , and metals & mining industries is the most capital intensive. GenAI : Predictive machine analytics at scale. In this sector, the ratio of gross plant, property, and equipment (aka.

Energy and Utilities 111

Energy and Utilities e-Delivery Analytics Mining 111

AIIM

MAY 30, 2023

Technologies such as institutional repositories, long-term digital preservation, electronic signatures, interoperability protocols, document big data, data analytics applied to document management, the use of AI in the optimization of metadata processing and management processes, searches, queries, document classification, text mining, vocabulary control (..)

Archiving 145

Archiving Search queries Digital preservation Big data 145

AIIM

SEPTEMBER 3, 2020

Importantly, data stored in the ECM system also provides a useful source of historical information that can be mined for business insights using analytics engines. The layout can also be further enhanced – for example, by combining data from multiple legacy screens in a single view to save time for users as they navigate the system.

ECM 171

ECM Compliance Digital transformation Access 171

Schneier on Security

NOVEMBER 9, 2018

Universities are exploiting these data for research, learning analytics, faculty evaluation, strategic decisions, and other sensitive matters. Commercial entities are besieging universities with requests for access to data or for partnerships to mine them.

Privacy 84

Privacy Data collection Security Mining 84

The Last Watchdog

JUNE 30, 2021

Today’s websites integrate dozens of third-party service providers, from user analytics to marketing tags, CDNs , ads, media and these third-party services load their code and content into the browser directly. Due to optimized speeds and improved computing capacity on client devices, the architecture has evolved over the last few years.

Risk 149

Risk IT Mining Analytics 149

Bill Schmarzo - Dell EMC

FEBRUARY 14, 2018

Organizations use accounting, auditing, investigative, data and analytic skills to “follow the money” and determine their financial value. Figure 3: Customer Analytic Profile. See “ Analytic Profiles: Key to Data Monetization ” for more details on Analytic Profiles. Figure 4: Optimizing the Customer Lifecycle.

Artificial Intelligence 102

Artificial Intelligence Analytics Customer Experience Big data 102

The Last Watchdog

SEPTEMBER 11, 2019

Stuck in a rut Enter SOAR, which takes well-understood data mining and business intelligence analytics methodologies and applies them to cybersecurity. The quicker and deeper they can train Big Data analytics on detecting and cutting short leading-edge attacks, the better off we’ll all be. Talk more soon.

Security 159

Security Big data Cybersecurity Analytics 159

Robert's Db2

JUNE 24, 2013

Thus the importance of business analytics, which can be thought of as the means whereby information is made to yield insight. The argument for performing business analytics in this fashion was largely cost-based. Floor space, electricity, and data center cooling costs mount as x86- and RISC-based analytics servers multiply.

Analytics 48

Analytics Access Mining Security 48

IBM Big Data Hub

OCTOBER 30, 2023

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data.

Analytics 77

Analytics Retail Cloud Insurance 77

The Last Watchdog

SEPTEMBER 14, 2018

EventTracker has a bird’s eye view; its unified security information and event management (SIEM) platform includes – behavior analytics, threat detection and response, honeynet deception, intrusion detection and vulnerability assessment – all of which are coupled with their SOC for a co-managed solution.

Government 147

Government Digital transformation Mining Insurance 147

erwin

AUGUST 6, 2020

Gartner defines data literacy as the ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied — and the ability to describe the use case, application and resulting value. Data Literacy Definition. What Is Data Literacy For?

Government 135

Government Digital transformation Customer Experience Mining 135

erwin

JUNE 11, 2020

With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently. Big IT companies even have off-the-shelf data analytics software ready to be configured by a company to their needs. Expanding big data.

Analytics 103

Analytics Blockchain Artificial Intelligence Big data 103