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

AIIM

MAY 30, 2023

This is an example of active and dynamic democracy that demonstrates how laws should exist for the function and benefit of society and its institutions.

Archiving 141

Archiving Search queries Digital preservation Big data 141

OpenText Information Management

APRIL 17, 2024

But the reality is that the challenges my children will face will be vastly bigger than mine. We’ve already seen so many examples of it happening. No television, no personal cell phones, and don’t ask me about my first computer (which had less capacity than my current iPhone 8). As OpenText™ CEO and CTO, Mark J.

Unstructured data 62

Unstructured data Customer Experience Digital transformation Mining 62

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. For example, is the problem related to declining revenue or production bottlenecks? as well as math, statistics, data visualization (to present the results to stakeholders) and data mining.

Data science 60

Data science Big data Analytics Mining 60

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

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 150

IT Risk Mining Analytics 150

IBM Big Data Hub

DECEMBER 14, 2022

Think of the example above—long wait times and unanswered questions can only lead to frustrated customers and agents and slower businesses. It mines data, customizes interactions and is continuously learning. “ *Insert Name*, transferring you to one of our agents who can answer your question about coverage abroad.” . Intent detection.

Customer Experience 86

Customer Experience Mining Retail Analytics 86

CGI

DECEMBER 9, 2019

The 2019 CGI Client Global Insights reveals that harnessing the power of data analytics to drive real-time insights and improved personalization for new revenue streams is a top business priority for the retail and consumer services executives interviewed. Advancing omni-channel strategies using data and emerging technologies.

Retail 96

Retail Sales Customer Experience Artificial Intelligence 96

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. For example, Amazon is vertically integrating the grocery industry with their recent acquisition of Whole Foods. Figure 3: Customer Analytic Profile. Customer experiences are unsatisfactory.

Artificial Intelligence 102

Artificial Intelligence Analytics Customer Experience Big data 102

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. Great examples are BMW Mini , Comfort Keepers, and Teleflora. Graph analytics and associative technology for better results. Expanding big data.

Analytics 103

Analytics Blockchain Artificial Intelligence Big data 103

IBM Big Data Hub

APRIL 4, 2024

For example, BPM is smaller in scale than business process reengineering (BPR), which radically overhauls or replaces processes. A purchasing agreement between a client and vendor, for example, needs to evolve and go through different rounds of approval and be organized, accessible and compliant with regulations.

Compliance 60

Compliance Mining Risk Marketing 60

IBM Big Data Hub

NOVEMBER 30, 2022

Think of the example above—long wait times and unanswered questions can only lead to frustrated customers and agents and slower businesses. It mines data, customizes interactions and is continuously learning. “ *Insert Name*, transferring you to one of our agents who can answer your question about coverage abroad.” . Intent detection.

Customer Experience 52

Customer Experience Mining Retail Analytics 52

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

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. For example, SOAR solutions must improve at detecting what’s referred to as “ living off the land ” cyber attacks. Just ask Capital One , Marriott or Equifax. Talk more soon.

Security 160

Security Big data Cybersecurity Analytics 160

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. We call this Digital IQ for the enterprise.

Digital transformation 40

Digital transformation Mining Artificial Intelligence Marketing 40

IBM Big Data Hub

JULY 24, 2023

For example, 99% of organizations surveyed by McKinsey said they have pursued a large-scale technology transformation since 2020. 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.

Analytics 59

Analytics IT Big data Cloud 59

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. Gartner (2021) has two related definitions: Digital Transformation: “can refer to anything from IT modernization (for example, cloud computing), to digital optimization, to the invention of new digital business models.”

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

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. For example, Amazon is vertically integrating the grocery industry with their recent acquisition of Whole Foods. Figure 3: Customer Analytic Profile. Customer experiences are unsatisfactory.

Analytics 40

Analytics Artificial Intelligence Customer Experience Big data 40

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.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

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. Classification is ongoing.

MDM 40

MDM Big data Information governance Analytics 40

IBM Big Data Hub

MARCH 18, 2024

A cleaner, healthier environment The burning of fossil fuels, like coal, releases airborne pollutants such as nitrogen oxide and sulfur dioxide, while the mining of these resources can result in water pollution and damage animal habitats. Carbon dioxide emissions reached 11.2

Energy and Utilities 19

Energy and Utilities Artificial Intelligence Mining Manufacturing 19

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

Security Affairs

NOVEMBER 29, 2018

I have created a demo set-up to demonstrate a few of these examples. 500 hosts using Shodan API and done some analytics on these 500 hosts to know the spread pattern of these open APIs. Docker has made it too easy to start mining with the help of miner images uploaded on the Docker Image Repository – Hub.

Mining 101

Mining Digital transformation Security Analytics 101

CGI

NOVEMBER 15, 2019

With the help of machine learning and advanced data analytics, several load-monitoring techniques can deduce a customer’s activity patterns just from their electricity metering data. The risk of leaking smart meter readings. Then why not let users do the computation by themselves and share only the results? The essence of Obfuscate(.)

Energy and Utilities 40

Energy and Utilities Privacy Mining Analytics 40

IBM Big Data Hub

APRIL 12, 2022

For example, how do we grow revenue in AI if many leaders don’t fully understand what an AI enterprise looks like? We can now mine the capabilities of a data fabric architecture to provide a more positive user experience that gets data into the hands of those who need it most with trust, transparency, and agility.

Compliance 84

Compliance Cloud Mining Government 84

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

CGI

JUNE 4, 2020

The application should provide utility stakeholders with the reports, maps, alerts and analytics they need to activate governance policies that mitigate impacts to customers and employees. How technology can help: Utilities need to effectively mine and allocate data to assist with the regulatory cost recovery effort.

Energy and Utilities 52

Energy and Utilities Communications Mining Risk 52

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. Conduct validation in the error process—This method measures how good the guesswork was by comparing it to known examples when available.

Data science 58

Data science Artificial Intelligence Paper Compliance 58

CILIP

FEBRUARY 7, 2020

For example, how procurement regulations might support a system in which buyers can expect changes and improvements while also giving suppliers a chance to signal their intentions and carry them out. ? For example ask ?can s all a bit early days but they are embedding better analytics and talking about things like machine learning.

Libraries 52

Libraries Metadata e-Discovery Mining 52

The Falcon's View

MARCH 12, 2018

Essentially, the reason you put something into writing is because a) you're required to do so (such as by regulations), or b) you're driven to do so due to ongoing infractions or the inability to directly codify requirements (for example, requirements on human behavior). KPIs as Policies (et al.).

Compliance 40

Compliance Security Analytics Risk 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

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

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

eSecurity Planet

SEPTEMBER 16, 2022

For example, Experian’s 2021 Global Identity and Fraud Report stated that 82% of surveyed businesses had adopted customer recognition strategies. They’re also useful for background checks, data analytics, and data mining. These data analytics can also be exported to a Microsoft Excel spreadsheet.

Analytics 113

Analytics Risk Authentication Financial Services 113

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

CGI

FEBRUARY 23, 2016

If all we have are opinions, let’s go with mine.”. For example, if I’m a manufacturing company, but I only manufacture a certain component, and one of my big customers has a network of their customers, could I be collaborating with them and using their network to sell other types of products to their customer base?

Manufacturing 40

Manufacturing Digital transformation Customer Experience Mining 40