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 64

Analytics Customer Experience Mining Communications 64

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

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

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

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

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

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

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

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 64

Analytics Unstructured data Mining 64

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

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 125

Mining Analytics Privacy 125

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

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

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. So how do you spot this early, and react or even prevent this in a timely and effective manner?

Mining 52

Mining Analytics Digital transformation Data science 52

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 90

Energy and Utilities e-Delivery Analytics Mining 90

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

Gimmal

NOVEMBER 7, 2024

Improve Decision-Making: AI-driven analytics provide deeper insights into data trends and patterns. Opportunities for Insights: Potential to extract valuable information using advanced analytics. Enhanced Analytics and Big Data Trend Overview Big Data analytics enables organizations to glean valuable insights from vast datasets.

Information governance 40

Information governance Government Unstructured data Analytics 40

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

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 66

Mining Financial Services Digital transformation Retail 66

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. That’s a sizable fish to fry. Put simply, the healthcare industry, thus far, has missed the personalization boat.

Big data 279

Big data Analytics Personal data Government 279

IBM Big Data Hub

MARCH 14, 2024

The solution: IBM databases on AWS To solve for these challenges, IBM’s portfolio of SaaS database solutions on Amazon Web Services (AWS), enables enterprises to scale applications, analytics and AI across the hybrid cloud landscape. It enables secure data sharing for analytics and AI across your ecosystem.

Analytics 75

Analytics Cloud Metadata Government 75

OpenText Information Management

NOVEMBER 15, 2024

Vulnerabilities within application code are gold mines for attackers. Advanced automation and AI, not busywork With machine learning and analytics, OpenText enhances detection, response, and proactive threat hunting, keeping teams on the front foot instead of putting out fires. Ready to move beyond “good enough” security?

Cybersecurity 72

Cybersecurity Data Privacy Cleanup Access 72

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 129

Big data Analytics Mining Insurance 129

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

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

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

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

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

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. Ditch manual processes in favor of digitizing and automating supply chain processes.

Manufacturing 67

Manufacturing Mining B2B Analytics 67

IBM Big Data Hub

SEPTEMBER 11, 2023

Built on decades of innovation in data security, scalability and availability, IBM Db2 keeps business applications and analytics protected, highly performant, and resilient, anywhere. enhances data management through automated insights generation, self-tuning performance optimization and predictive analytics.

Analytics 85

Analytics Cloud IoT Paper 85

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. It’s also necessary to understand data cleaning and processing techniques.

Data science 54

Data science Big data Analytics Mining 54

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. Industry use case: A fully functional digital twin is the result of MAS in action.

Energy and Utilities 76

Energy and Utilities Data collection Analytics Mining 76

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

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 96

Metadata Cloud Mining Analytics 96

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 85

Privacy Data collection Security Mining 85