IBM Big Data Hub

SEPTEMBER 6, 2023

To ensure these scenarios remain actionable, they should be updated regularly based on the latest data and insights. Embracing technology The use of advanced solutions, ranging from AI-powered forecasting software to data analytics platforms, can make budgeting faster and smarter.

Analytics 86

Analytics Marketing Artificial Intelligence Sales 86

Thales Cloud Protection & Licensing

JANUARY 26, 2021

Big Data and EMV 3DS. Fraud detection is where big data and machine learning come in handy. Using machine learning, algorithms can go through huge transactional data sets to spot unusual behaviour. The use of big data analytics by the banking sector can lead to enhanced fraud detection and superior risk assessment.

Security 143

Security Retail Authentication Big data 143

IBM Big Data Hub

OCTOBER 4, 2022

Furthermore, 59% of executives claim AI can improve the use of big data in their organizations, facts about artificial intelligence show. ( The ability to track and share model facts and documentation across the organization provides backup for analytic decisions. IBM Global AI Adoption Index 2022.).

Government 100

Government Artificial Intelligence Metadata Data science 100

IBM Big Data Hub

FEBRUARY 26, 2024

The financial services industry has been in the process of modernizing its data governance for more than a decade. How can banks, credit unions, and financial advisors keep up with demanding regulations while battling restricted budgets and higher employee turnover? Realize the benefits of automated data lineage today.

Financial Services 96

Financial Services Cloud Metadata Digital transformation 96

Data Matters

JUNE 12, 2020

electronic payments, check capture and online banking), the OCC lists some of the new technologies, the implementation of which may be hindered by ambiguous, burdensome or inflexible rules, such as blockchain, artificial intelligence, biometrics, cloud computing and big data/analytics.

Artificial Intelligence 68

Artificial Intelligence Blockchain Financial Services Computer and Electronics 68

IBM Big Data Hub

MAY 16, 2023

What are managed marketing services (MMS)? Managed marketing services are the outsourcing of marketing business processes, such as campaign planning and execution, content management and enhancement, marketing analytics and other marketing support (SEO, social listening and loyalty). Did that action turn into a lead?

Marketing 72

Marketing Customer Experience Financial Services Retail 72

IBM Big Data Hub

MAY 19, 2023

PT Aegis is an IBM partner based in Indonesia that offers cybersecurity and cloud services, serving clients in various industries, including financial services and distribution. With high-speed file transfer, integrated services and cross-region offerings, IBM Cloud Object Storage allows you to leverage your data securely.

Cloud 78

Cloud Unstructured data Customer Experience Manufacturing 78

erwin

DECEMBER 20, 2018

In addition to compliance, top drivers turned out to be improving customer satisfaction, reputation management, analytics and Big Data. Data Governance 2.0 for Financial Services. www.erwin.com/blog/data-governance-2-0-financial-services/.

Government 40

Government Financial Services GDPR Data breaches 40

erwin

AUGUST 13, 2020

data protection, personal and sensitive data, tax issues and sustainability/carbon emissions)? Data Overload : How do we find and convert the right data to knowledge (e.g., big data, analytics and insights)? operating strategy, global business services and shared services)?

Artificial Intelligence 143

Artificial Intelligence Healthcare Compliance Financial Services 143

IBM Big Data Hub

JUNE 7, 2022

Firms in regulated industries such as financial services, healthcare and telecom will see additional regulations being enforced to ensure AI governance compliance with requirements to document the evidence of it. The use of AI becomes necessary to take advantage of the massive amounts of transactional and client experience data.

Government 52

Government Financial Services Compliance Cloud 52

Reltio

MARCH 11, 2019

Speakers represented life sciences, healthcare, manufacturing, retail, consumer goods, financial services, consulting services, and hi-tech. This year the event offered three tracks – Modern Data Management, Personalize Customer 360 , and Healthcare & Life Sciences. This year’s theme was “ Organize Master Data.

Digital transformation 40

Digital transformation Financial Services Data science Retail 40

IBM Big Data Hub

FEBRUARY 14, 2024

By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies.

Artificial Intelligence 86

Artificial Intelligence Retail Unstructured data Insurance 86

IBM Big Data Hub

FEBRUARY 23, 2024

Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends. ML and DL lie at the core of predictive analytics, enabling models to learn from data, identify patterns and make predictions about future events.

Analytics 100

Analytics Artificial Intelligence Marketing Education 100

eSecurity Planet

AUGUST 22, 2023

A CRM at a large financial services company might have an RTO of 15 minutes, while a storage archive for cold data may have an RTO of 12-24 hours. Use threat intelligence tools and behavioral analytics to examine all your business systems for anomalous behavior and indicators of compromise (IoCs).

Data breaches 98

Data breaches Big data Cybersecurity Security 98

IBM Big Data Hub

MAY 14, 2024

The good news: it is likely easier to teach a finance professional how to use the technology to drive value than it is to teach a data scientist those finance skills. In addition, senior finance executives need to have higher communication and storytelling skills as business partners for CEOs.

Unstructured data 71

Unstructured data Government Cloud Analytics 71

ARMA International

NOVEMBER 7, 2019

The scope of a records and information management (RIM) program in financial services can seem overwhelming. Compared to other industries, the complexities of managing records and information in financial services are arguably some of the toughest to solve, primarily because of the intense regulatory scrutiny.

Financial Services 52

Financial Services Communications Compliance Risk 52

IBM Big Data Hub

MARCH 2, 2022

For years we’ve been talking about leveraging public data to help us better identify diaper need in the region, and to also help us identify solutions for how to best meet that need,” said Carrie Fassett, Director of Partnerships and Impact at GDCDB “The IBM incubator helped make that vision a reality for us.” . ” Ready, set, build.

Data science 71

Data science Analytics Education Financial Services 71

IBM Big Data Hub

APRIL 20, 2023

A Process Mining exercise drawing data from enterprise SAP has helped measure KPI performance and define the transformation roadmap.

Mining 69

Mining Financial Services Digital transformation Retail 69

Thales Cloud Protection & Licensing

DECEMBER 11, 2018

We had some results this year from the 100+ US retail IT security professionals that were surveyed for the 2018 Thales Data Threat Report that differed from every other segment we polled (healthcare, federal government, financial services). Which brings us back to our title: “Retail loyalty programs – it’s time to think twice”.

Retail 66

Retail Data breaches Encryption Mining 66

IBM Big Data Hub

JANUARY 15, 2024

It will also create smarter chatbots that can tackle simple questions, which will improve the customer experience while freeing up customer service reps to take on larger-order problems. Also, machine learning will be an incredibly powerful tool for data-driven organizations looking to take better advantage of their data analytics practices.

Digital transformation 73

Digital transformation Customer Experience Artificial Intelligence IoT 73

IBM Big Data Hub

JANUARY 12, 2024

The advantages of AI are numerous and impactful, from predictive analytics that refine strategies, to natural language processing that fuels customer interactions and assists users in their daily tasks, to assistive tools that enhance accessibility, communication and independence for people with disabilities.

Cloud 99

Cloud Data Privacy Encryption Privacy 99

CGI

FEBRUARY 21, 2017

As financial services organizations are learning, defences against financial crime must be joined up and layered, bringing together both operational and intelligence resources. But, as criminals increase their use of enhanced tactics for financial crime, how do you ensure your AFC defences keep pace? AFC is not new.

Customer Experience 40

Customer Experience Financial Services Analytics Risk 40

DLA Piper Privacy Matters

AUGUST 23, 2021

Instead the PIPL is a robust data privacy framework designed to safeguard individuals’ personal data against abuse, but at the same time to reflect cultural and business attitudes to data in China, as well as new technologies (including advances in AI, biometrics and data analytics), and to enable flows of personal data.

Data Privacy 111

Data Privacy Privacy Compliance Analytics 111

IBM Big Data Hub

AUGUST 15, 2023

Our partnership benefits from IBM’s expertise in cloud computing , artificial intelligence (AI) and analytics, and TCS’s experience in digital transformation, consulting and cloud-engineering services.

Cloud 61

Cloud Digital transformation Energy and Utilities Retail 61

The Last Watchdog

AUGUST 30, 2021

This evolution is more aptly named security analytics platforms, which not only handle log ingestion and storage, but also more effectively address the detection and response use cases SOCs need. Here are five misconceptions, or myths, related to the SIEM, now security analytics platforms: • SIEMs are only good for compliance.

Analytics 230

Analytics Security Marketing Financial Services 230

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.

Artificial Intelligence 111

Artificial Intelligence Analytics Big data Mining 111

eSecurity Planet

JANUARY 21, 2021

LogicManager’s GRC solution has specific use cases across financial services, education, government, healthcare, retail, and technology industries, among others. Like other competitive GRC solutions, it speeds the process of aggregating and mining data, building reports, and managing files. Performance analytics.

Compliance 65

Compliance Risk Government Retail 65

Information is Currency

DECEMBER 1, 2017

Next, he looks at key digital technologies in the second digital age, those technologies include social, mobile, analytics, cloud (SMAC stack) and big data. Dashboards include real-time analytics on enterprise risk and compliance. Regulatory and legal requirements are on the increase.

Records Management 40

Records Management Artificial Intelligence e-Delivery Computer and Electronics 40

IBM Big Data Hub

APRIL 18, 2024

Here are some examples of how AGI technology might revolutionize various industries: Customer service Imagine an AGI-powered customer service system. It would access vast customer data and combine it with real-time analytics for efficient and personalized service.

Artificial Intelligence 93

Artificial Intelligence Marketing e-Delivery Manufacturing 93

eSecurity Planet

JANUARY 21, 2021

LogicManager’s GRC solution has specific use cases across financial services, education, government, healthcare, retail, and technology industries, among others. Like other competitive GRC solutions, it speeds the process of aggregating and mining data, building reports, and managing files. Performance analytics.

Compliance 57

Compliance Risk Government Retail 57

Data Matters

AUGUST 24, 2018

NAIC Continues its Evaluation of Insurers’ Use of Big Data . The NAIC is also considering insurers’ use of big data in underwriting life insurance products. The Big Data (EX) Working Group heard a presentation from LIMRA regarding how insurers are utilizing consumer data in underwriting life insurance products.

Insurance 60

Insurance Big data e-Delivery Risk 60

Data Matters

SEPTEMBER 4, 2019

The New York State Department of Financial Services recently amended its annuity suitability regulation to apply a “best interest” standard in connection with both life insurance and annuity transactions with consumers.

Insurance 68

Insurance Paper Risk Analytics 68

Data Matters

SEPTEMBER 24, 2019

We provide a brief overview of BDPA’s principles relating to the processing of personal data, requirements with respect to data subject rights, international transfers, and compliance. Companies in the financial services, technology, airline and hotel industries are among those that could face substantial compliance obligations.

Personal data 68

Personal data GDPR Data Privacy Privacy 68

IBM Big Data Hub

FEBRUARY 4, 2022

ISO 20022 was first introduced in 2004 to provide more standardization and deliver richer information for Financial Services transactions. Leveraging rich data to provide value-added services, such as real-time fraud detection, automated reconciliation, etc. Background on ISO 20022.

Artificial Intelligence 124

Artificial Intelligence Financial Services Analytics Marketing 124

IBM Big Data Hub

SEPTEMBER 14, 2023

Broadly, the categories include the following: Application data exchange: Client/server communication between application components across clouds (e.g., via RESTful APIs) to exchange data and complete synchronous or asynchronous transactions.

Cloud 74

Cloud Financial Services Insurance Compliance 74

IBM Big Data Hub

JUNE 2, 2023

In the rapidly evolving landscape of financial services, embracing AI and digital innovation at scale has become imperative for banks to stay competitive. By embedding financial services into everyday activities, banks can deliver hyper-personalized and convenient experiences, enhancing customer satisfaction and loyalty.

Financial Services 61

Financial Services Customer Experience Cloud Digital transformation 61

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.

Artificial Intelligence 40

Artificial Intelligence Analytics Mining Big data 40