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

Collibra

JULY 6, 2023

Microsoft Azure is a comprehensive cloud computing platform that is relied upon by more than 95 percent of the Fortune 500 and millions of companies around the world. Azure Data Lake Storage (ADLS) provides a cloud-based data lake solution to store massive amounts of data and facilitates analytical workloads.

Metadata 70

Metadata Cloud Mining Analytics 70

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 58

Data science Big data Analytics Mining 58

The Last Watchdog

MARCH 1, 2019

Enter SOAR, the acronym for “security operations, analytics and reporting.” Last Watchdog had the chance to visit with Michael Sutton, former longtime CISO of cloud security vendor Zscaler, who recently signed on as advisor to a fresh, new SOAR startup, Syncurity. Smart money. Demisto launched in May 2016.

Digital transformation 193

Digital transformation Marketing Analytics Risk 193

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. The challenge is bringing it all together and implementing it across lines of business and IT.

Analytics 52

Analytics Mining Access Sales 52

IBM Big Data Hub

NOVEMBER 30, 2022

IBM Research has added three new software libraries to IBM’s portfolio of embeddable AI solutions— software libraries that are not bound to any platform and can be run across environments, including public clouds, on-premises, and at the edge. Users can then mine the data using simple keyword searches to find the information they need.

Libraries 89

Libraries Data science Cloud Mining 89

The Last Watchdog

SEPTEMBER 11, 2019

Rising implementations of cloud services and IoT systems, not to mention the arrival of 5G, has quickened the pace of software development and multiplied data handling complexities. Stuck in a rut Enter SOAR, which takes well-understood data mining and business intelligence analytics methodologies and applies them to cybersecurity.

Security 159

Security Big data Cybersecurity Analytics 159

OpenText Information Management

APRIL 12, 2023

According to Gartner, a digital transformation includes information technology modernization, adoption of cloud computing, … The post Past, present and future in a digital transformation journey appeared first on OpenText Blogs. The objective is often tied to cost leadership, increased competitiveness or simply moving into a niche.

Digital transformation 104

Digital transformation Cloud ROT Mining 104

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 70

Analytics Artificial Intelligence Marketing Access 70

Info Source

JANUARY 28, 2021

It includes support for an accelerated move of core ERP processes to the cloud. Signavio’s integrated cloud-native process management suite perfectly complements existing business process intelligence software from SAP. It will also provide tools to fully understand and transform the processes.

Mining 52

Mining Customer Experience Marketing Cloud 52

IBM Big Data Hub

JULY 24, 2023

An increase in devices connecting to individual applications, the rise of cloud computing and the development of new products have led companies to invest in digital services to meet customer needs. Each organization has a unique tech stack, which is typically made up of native software and cloud platforms. billion business.

Analytics 58

Analytics IT Big data Cloud 58

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. This means imaging the “art of the possible” for a new future using a cloud computing model to deliver transformative change. Cloud-First. Cloud-first is about cloud enablement.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

IBM Big Data Hub

SEPTEMBER 20, 2022

In this relationship, we use IBM’s advanced analytics and AI capabilities to analyze the massive amount of data produced by fantasy football. So we’re also using the natural language processing capability of Watson Discovery to mine insights from millions of blogs, articles and podcasts produced by media experts (see here to learn more ).

Artificial Intelligence 52

Artificial Intelligence Customer Experience Mining Analytics 52

Info Source

FEBRUARY 22, 2018

the leading developer of machine learning-based document capture and analytics solutions, today announced that it has appointed Naren Goel as Chief Financial Officer (CFO). 22, 2018 – Ephesoft, Inc.,

Unstructured data 40

Unstructured data Analytics Mining Cloud 40

IBM Big Data Hub

APRIL 12, 2022

When I joined IBM in 2016, our business strategy centered on hybrid cloud and AI. In terms of implementing that strategy, we set several key pieces in place, such as: A hybrid distributed cloud and AI platform. The evolution of IBM’s Global Chief Data Office (GCDO) strategy. A robust understanding of our DataOps pipeline.

Compliance 82

Compliance Cloud Mining Government 82

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. This means imagining the “art of the possible” for a new future using a cloud computing model to deliver transformative change. Cloud Enablement. The “Art of the Possible” for the End-state.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

Thales Cloud Protection & Licensing

JUNE 12, 2018

In this blog post, and in one by my colleague Sandy Carielli from Entrust Datacard, we discuss big data analytics and how it is enabling the evolution of new behavior-based authentication for easier and more robust identity management. Big Data Analytics. Everyone claims to be using “Big Data,” but what is it really?

Big data 48

Big data Analytics Authentication e-Discovery 48

Thales Cloud Protection & Licensing

DECEMBER 11, 2018

In this case, it looks as though the attackers had been on the Starwood network for somewhere around three years, mining out their reservations database (keep in mind that Marriott only acquired Starwood in 2016 ). As I was starting to write this blog, yet another retail program data breach occurred, for Marriott’s Starwood loyalty program.

Retail 66

Retail Data breaches Encryption Mining 66

Security Affairs

NOVEMBER 29, 2018

Inception of Cloud technologies, in last few years, has completely changed the way we perceive and manage IT. 500 hosts using Shodan API and done some analytics on these 500 hosts to know the spread pattern of these open APIs. Back in 2000, every aspiring student wanted to become computer /IT engineer, thanks to “.com”

Mining 100

Mining Digital transformation Security Analytics 100

IBM Big Data Hub

MARCH 14, 2024

While these challenges are not new, they emphasize the need for a flexible, cloud-native infrastructure. By using fit-for-purpose databases, customers can efficiently run workloads, using the appropriate engine at the optimal cost to optimize analytics for the best price-performance.

Analytics 82

Analytics Cloud Metadata Government 82

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. Mellon Foundation.

Archiving 26

Archiving IT Mining Cloud 26

The Last Watchdog

MARCH 17, 2020

But it has also proven to be a profound constraint on the full blossoming of cloud computing and the Internet of Things. And he explained how advanced encryption technologies, like MPC and homomorphic encryption, are on the cusp of enabling much higher use of the mountains of data hoarded in cloud storage by companies and governments.

Encryption 171

Encryption Cloud Authentication IoT 171

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

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. How Db2, AI and hybrid cloud work together AI- i nfused intelligence in IBM Db2 v11.5 is a proven, versatile, and AI-ready solution.

Analytics 90

Analytics Cloud IoT Paper 90

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

Brandeis Records Manager

FEBRUARY 21, 2015

As if IG program development, big data, text mining and predictive analytics, IoT, mobile/BYOD, FOIA, eDiscovery, PII security, cloud, and social media aren’t enough to track, we should boldly expand our agenda in order to cover the massive – no, ubiquitous – range of topics that records management actually covers.

Records Management 46

Records Management Paper FOIA Record destruction 46

IBM Big Data Hub

JULY 17, 2023

These models have been trained on IBM curated datasets that have been mined to remove hateful, abusing and profane text (HAP). Visual modeling: Delivers easy-to-use workflows for data scientists to build data preparation and predictive machine learning pipelines that include text analytics, visualizations and a variety of modeling methods.

Analytics 66

Analytics Data science Cloud Metadata 66

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 82

Energy and Utilities Data collection Analytics Mining 82

eSecurity Planet

SEPTEMBER 16, 2022

Based out of New York, Fraud.net’s cloud-based APIs leverage AI-powered risk intelligence to provide clients with high-powered analysis and monitoring services and potentially prevent fraud attempts before they can get ahold of your money and data. They’re also useful for background checks, data analytics, and data mining.

Analytics 109

Analytics Risk Authentication Financial Services 109

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

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

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. Think candy store. “In

Digital transformation 140

Digital transformation Security Analytics Mining 140

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

eSecurity Planet

AUGUST 11, 2022

Many of the basic principles for securing a data lake will be familiar to anyone who has secured a cloud security storage container. Of course, since most commercial data lakes build off of existing cloud infrastructure, this should be the case. which increase the complexity of interactions beyond a simple storage container.

Security 112

Security Encryption Cloud Access 112

AIIM

JUNE 30, 2020

The issues and strategies that organizations will face with content management are further morphed by the coming tidal wave of big data and analytics. ecmXperts' Michael Corts recommends adding "cloud-based access to server share content.". My recommendation comes from a personal mantra of mine – 1% better every day.

ECM 184

ECM Content services Paper Information architecture 184

eSecurity Planet

APRIL 7, 2023

Virtual devices may be deployed locally or in the cloud. Virtual appliances can be deployed in local data centers or in the cloud. Hybrid, or mixed local/cloud networks require virtual private network (VPN) infrastructure between environments. Each module may require one or more licenses and one or more virtual machines.

IoT 79

IoT Compliance Cloud Access 79