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

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 83

Analytics Retail Cloud Insurance 83

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

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. Starting from the top: Focusing on the right change and making it feel right.

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. But they’d also be working to supplement their stripe recognition and biometrics with behavioral analytics. About six months ago, I got an email from a good friend of mine, who I’ll call Alex (not his real name).

Analytics 54

Analytics Mining Authentication Big data 54

The Last Watchdog

JANUARY 11, 2022

The blue-sky mission is to bring modern data mining and machine learning technologies to bear delivering personalized services that ameliorate not just physical ailments, but also mental and even emotional ones. Might it be possible to direct cool digital services at holistically improving the wellbeing of each citizen of planet Earth?

Big data 279

Big data Analytics Personal data Government 279

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

IBM Big Data Hub

APRIL 20, 2023

All are transforming their procurement operations by leveraging state-of-the-art process mining and intelligent automation technology. A Process Mining exercise drawing data from enterprise SAP has helped measure KPI performance and define the transformation roadmap. dollars annually in direct or indirect procurement.

Mining 69

Mining Financial Services Digital transformation Retail 69

AIIM

MAY 30, 2023

This article was written by AIIM Florida Chapter Board Member Alvaro Arias Cruz , District Director of Archives of Bogotá. It was originally published in the AIIM Florida Chapter Newsletter in April 2023. Learn more about the AIIM Florida Chapter at [link].

Archiving 141

Archiving Search queries Digital preservation Big data 141

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

Collibra

NOVEMBER 18, 2021

Cloud storage, text mining and social network analytics are vital 21 st century tools. But the need for data is a thread that stretches back millennia, from today’s CEO looking for business analytics to the managers trying to get a 481-foot-tall pyramid built in the ancient desert. . Data collection is what we do.

IT 52

IT Data collection Analytics Military 52

IBM Big Data Hub

JUNE 30, 2023

Automation will enable organizations to identify and resolve critical supply chain issues faster with end-to-end visibility , advanced analytics and actionable workflows. This is not only impacting the sector’s ability to meet consumer expectations by delivering the products customers need when they need them.

Manufacturing 70

Manufacturing Mining B2B Analytics 70

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. All too many companies lack a full appreciation of how vital it has become to proactively manage and keep secure “unstructured data.”. Delete data.

Unstructured data 194

Unstructured data Ransomware Mining Encryption 194

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. as well as math, statistics, data visualization (to present the results to stakeholders) and data mining. What is machine learning? That’s where data science comes in.

Data science 57

Data science Big data Analytics Mining 57

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 123

Big data Analytics Mining Insurance 123

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 88

Mining Libraries Analytics Security 88

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.

Analytics 57

Analytics IT Big data Cloud 57

IBM Big Data Hub

AUGUST 14, 2023

Advanced analytics help detect known and unknown threats to drive consistent and faster investigations every time and empower your security analysts to make data-driven decisions. UBA’s Machine Learning Analytics add-on extends the capabilities of QRadar by adding use cases for ML analytics.

Data breaches 58

Data breaches Analytics Artificial Intelligence Cybersecurity 58

CGI

OCTOBER 31, 2018

Utilities Digital Journey Insights (Part 3): Data, the new “digital capital” - Going beyond the hype of advanced analytics and AI. Yet, they also indicate that utilities are still in the early stages of exploiting advanced analytics and intelligent automation. Advanced analytics and automation: The business focus.

Energy and Utilities 40

Energy and Utilities Analytics Digital transformation Customer Experience 40

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. Here, Part 1 discusses the key DT business drivers, concepts, and technology trends, how they are transforming organizations and society, and how the trends are affecting business users and customers.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

IBM Big Data Hub

JUNE 30, 2023

See IBM MRO IO in action by reading about how Shell and IBM jointly developed and launched Oren, a global B2B mining services marketplace platform to gain more productivity in the $190 billion mining industry. But with the right tools, tactics and collaboration, it doesn’t have to be this way. Visibility.

Energy and Utilities 63

Energy and Utilities e-Delivery Mining B2B 63

eSecurity Planet

SEPTEMBER 16, 2022

They’re also useful for background checks, data analytics, and data mining. Data analytics in particular is great with Fraud.net, offering users a live feed of data and analysis to better monitor and understand potential fraud risks. Why Use Fraud Management and Detection Tools? What Is Fraud Management and Detection?

Analytics 113

Analytics Risk Authentication Financial Services 113

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. Drinking from Niagara Falls.

Digital transformation 140

Digital transformation Security Analytics Mining 140

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? Encryption is a cornerstone of digital commerce.

Encryption 171

Encryption Cloud Authentication IoT 171

The Last Watchdog

MARCH 1, 2019

Enter SOAR, the acronym for “security operations, analytics and reporting.” There is a gaping shortage of analysts talented enough to make sense of the rising tide of data logs inundating their SIEM (security information and event management) systems. Smart money. LW: How do you expect the SOAR market to evolve over the next couple of years?

Digital transformation 193

Digital transformation Marketing Analytics Risk 193

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 79

Metadata Cloud Mining Analytics 79

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. A smarter alternative is decommissioning those legacy applications and extracting important historical data to a searchable repository, accessible for business use.

ECM 167

ECM Digital transformation Compliance Access 167

OpenText Information Management

APRIL 17, 2024

But the reality is that the challenges my children will face will be vastly bigger than mine. No television, no personal cell phones, and don’t ask me about my first computer (which had less capacity than my current iPhone 8). Because it’s undeniable, the world we live in today is a world of speed. As OpenText™ CEO and CTO, Mark J.

Unstructured data 62

Unstructured data Customer Experience Digital transformation Mining 62

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.

Analytics 103

Analytics Blockchain Artificial Intelligence Big data 103

Schneier on Security

NOVEMBER 9, 2018

Universities are exploiting these data for research, learning analytics, faculty evaluation, strategic decisions, and other sensitive matters. Universities are exploiting these data for research, learning analytics, faculty evaluation, strategic decisions, and other sensitive matters.

Privacy 83

Privacy Data collection Security Mining 83

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. Enabling CS for DT.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

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 Mining Access Security 48

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 69

Analytics Artificial Intelligence Marketing Access 69

IBM Big Data Hub

DECEMBER 16, 2022

Modern cloud-based data architectures support high availability, scalability and portability; intelligent workflows, analytics and real-time integration; and connection to legacy applications via standard APIs. A fit-for-purpose data architecture underpins effective data-driven organizations. But process and people can’t be ignored.

Analytics 52

Analytics Mining Access Sales 52

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. So, what is data literacy? Data Literacy Definition.

Government 135

Government Digital transformation Customer Experience Mining 135

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 40

Artificial Intelligence Analytics Mining Big data 40

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