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

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 67

Analytics Cloud Marketing Mining 67

IBM Big Data Hub

JANUARY 10, 2023

Grasping these opportunities at IBM, we’re increasingly building our specialism in process mining and data analysis tools and techniques we believe to be true ‘game changers’ when it comes to building cultures of continuous change and innovation.

Mining 52

Mining Analytics Digital transformation Data science 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

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. With the ever-growing technology advancement, Human Resource professionals have started embracing the future: data analysis.

Big data 123

Big data Analytics Mining Insurance 123

The Last Watchdog

SEPTEMBER 18, 2018

The main difference between the two is organization and analysis. For structured data, users can run simple analysis tools, i.e., content searches, to find what they need. But with no orderly internal framework, unstructured data defies data mining tools. Ransomware target.

Unstructured data 194

Unstructured data Ransomware Mining Encryption 194

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. ” reads the analysis published by Symantec. The mining script then gets activated and begins using the majority of the computer’s CPU cycles to mine Monero for the operators.”

Mining 93

Mining Libraries Analytics Security 93

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

Collibra

JULY 6, 2023

Azure Data Lake Storage (ADLS) provides a cloud-based data lake solution to store massive amounts of data and facilitates analytical workloads. Powering trust with Power BI Microsoft Power BI enables organizations to optimize reporting, data mining, and data visualization to provide key business insights.

Metadata 73

Metadata Cloud Mining Analytics 73

Info Source

MAY 20, 2019

The global process analytics market size is expected to grow to USD 1,421.7 TimelinePI’s vision of combining the most versatile process mining and operational monitoring with cutting-edge, process-centric AI and machine learning will serve as a critical cornerstone to ABBYY’s Digital IQ strategy. MILPITAS, Calif.,

Mining 40

Mining Digital transformation Analytics IT 40

OpenText Information Management

APRIL 26, 2019

With web and social media crawlers – tools … The post Feelings, trends and value: Three key elements of sentiment analysis appeared first on OpenText Blogs. Or perhaps you’d like to capture how the mood in social media is changing before an upcoming referendum?

Mining 51

Mining Analytics 51

IBM Big Data Hub

AUGUST 14, 2023

QRadar’s ML models use root-cause analysis automation and integration to make connections for threat and risk insights, showing interrelationships that stretched teams might miss due to turnover, inexperience and the increased sophistication and volume of threats.

Data breaches 61

Data breaches Analytics Artificial Intelligence Cybersecurity 61

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.

IT 149

IT Risk Mining Analytics 149

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

Data Intelligence is the analysis of multifaceted data to be used by companies to improve products and services offered and better support investments and business strategies in place. Big IT companies even have off-the-shelf data analytics software ready to be configured by a company to their needs. What Is Data Intelligence?

Analytics 103

Analytics Blockchain Artificial Intelligence Big data 103

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 72

Analytics Artificial Intelligence Marketing Access 72

Info Source

JANUARY 28, 2021

That includes business process design, benchmarking, gap analysis, improvement and process change management. With the addition of Signavio, SAP can now provide a holistic suite of flexible process transformation solutions for customers to transform their business processes end to end.

Mining 52

Mining Customer Experience Marketing Cloud 52

Info Source

AUGUST 5, 2019

The acquisition of TimelinePI represents a significant milestone in establishing ABBYY’s leadership role in the digital transformation market as well as a global player in the emerging process mining market, which Gartner estimates will triple by 2023.

Digital transformation 40

Digital transformation Mining Artificial Intelligence Marketing 40

Information is Currency

FEBRUARY 17, 2017

Cybersecurity is in direct conflict with the basis tenants of data analysis, especially big data analysis, predictive analytics and data mining. Data analysis, especially big data, is about opening access to a lot of the data in an organization to find new some interesting ways to solve business problems.

MDM 40

MDM Big data Information governance Analytics 40

Security Affairs

NOVEMBER 8, 2019

“This indicated that the same attackers were likely responsible for both coin mining campaigns—they have been actively staging coin miner attacks and eventually incorporated the BlueKeep exploit into their arsenal.” It also provides worldwide impact information, mitigation recommendations, and detection information.

Honeypots 70

Honeypots Mining Analytics Ransomware 70

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

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 60

Analytics IT Big data Cloud 60

Everteam

JULY 11, 2019

Big data analytics, artificial intelligence, mobile applications and other software are valuable tools to prevent, detect, investigate, and prosecute corruption. SAIF (Safety, Analytics and Investigation Framework) for example operates with everteam.iFile , a full-featured secured solution that supports key business processes and workflows.

Digital transformation 40

Digital transformation Artificial Intelligence Analytics Big data 40

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

ARMA International

SEPTEMBER 13, 2021

Some technology trends such as real-time data analytics are on-going, while others are more recent, such as blockchain. ARMA defines information as “Data that has been given value through analysis, interpretation, or compilation in a meaningful form” (ARMA 2016, p 28). Data Analytics. Information and Content Explosion.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

Info Source

MAY 25, 2018

A US company’s obligation to appoint a DPO, or even a designated representative, is a complex and highly fact-depedent analysis,” Cattanach says. . “If I am covered by the GDPR I have to appoint a Data Protection Officer (DPO) in the EU. Wrong. “If I am not covered by GDPR I don’t have to update my Privacy Policy.

GDPR 40

GDPR Mining Privacy Analytics 40

InfoGovNuggets

MAY 8, 2018

Store chain mines social media to identify and track trends, and analyses store-specific information to determine what to stock in that store. So, they use a common technology approach to data analysis chain-wide to derive a store-specific stocking strategy.

Mining 28

Mining IT Access Analytics 28

CGI

SEPTEMBER 22, 2014

To model the relation, we combined predictive analytics with Scania data on more than three million trips completed within the last year in seven European Union countries. The paper also discusses the unexpected statistical relations encountered during the analysis.

Paper 40

Paper Mining Analytics IT 40

Hunton Privacy

APRIL 8, 2010

Today three advocacy organizations filed a complaint with the Federal Trade Commission (“FTC”), demanding that it investigate and impose drastic requirements on entities involved in online data analytics and behavioral advertising. In their complaint, the U.S. Public Interest Research Group (“U.S. understand.”

Mining 40

Mining Analytics Marketing Privacy 40

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

Archive-It

JULY 28, 2020

Archived web data and collections are increasingly important to scholarly practice, especially to those scholars interested in data mining and computational approaches to analyzing large sets of data, text, and records from the web. We are grateful to The Andrew W.

Archiving 26

Archiving IT Mining Cloud 26

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. Complicated example.

Digital transformation 140

Digital transformation Security Analytics Mining 140

ChiefTech

MARCH 17, 2013

Sometimes we use surveys (including social network analysis) or other analytical methods, but our preference for employing a design thinking orientated approach tends to counterbalance this with a desire to be immersed in the physical and human context of the work.

Customer Experience 49

Customer Experience Mining Analytics Marketing 49

eSecurity Planet

JANUARY 21, 2021

Like other competitive GRC solutions, it speeds the process of aggregating and mining data, building reports, and managing files. Strategic analytics (built into the platform through Riskonnect Insights) provide intelligence by surfacing, alerting, and visualizing critical risks to senior leadership. Performance analytics.

Compliance 67

Compliance Risk Government Retail 67

eSecurity Planet

JANUARY 21, 2021

Like other competitive GRC solutions, it speeds the process of aggregating and mining data, building reports, and managing files. Strategic analytics (built into the platform through Riskonnect Insights) provide intelligence by surfacing, alerting, and visualizing critical risks to senior leadership. Performance analytics.

Compliance 57

Compliance Risk Government Retail 57

IBM Big Data Hub

AUGUST 11, 2023

Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. MLOps is the next evolution of data analysis and deep learning. Simply put, MLOps uses machine learning to make machine learning more efficient.

Data science 59

Data science Artificial Intelligence Paper Compliance 59

eSecurity Planet

SEPTEMBER 16, 2022

Also called “fraud prevention tools,” these solutions are designed to enhance and aid in the analysis, detection, and management of fraud and other illicit activities across all aspects of a business. In our analysis and review of the fraud prevention, detection and management market, a number of providers stood out.

Analytics 113

Analytics Risk Authentication Financial Services 113