erwin

APRIL 11, 2019

Facebook was in the news again last week for another major problem around the transparency of its user data, and the tech-giant also is reportedly facing 10 GDPR investigations in Ireland – along with Apple, LinkedIn and Twitter. For example, many retailers have robust, data-driven e-commerce operations that are international.

GDPR 100

GDPR Compliance e-Discovery Metadata 100

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. Comments are due by August 3, 2020. 31, 2020).

Artificial Intelligence 68

Artificial Intelligence Blockchain Financial Services Computer and Electronics 68

IBM Big Data Hub

MARCH 20, 2024

For highly regulated industries, these challenges take on an entirely new level of expectation as they navigate evolving regulatory landscape and manage requirements for privacy, resiliency, cybersecurity, data sovereignty and more. Read to learn more about cloud adoption within financial services?

Cloud 72

Cloud Financial Services Risk Business Services 72

IBM Big Data Hub

SEPTEMBER 14, 2023

As enterprises modernize and migrate workloads to IBM Cloud, they often run into requirements that certain components of their application workloads to run on other cloud service provider networks. insurance, banking, healthcare, etc.)—to What are the different ways multicloud workloads can connect and communicate?

Cloud 70

Cloud Financial Services Insurance Compliance 70

Data Matters

SEPTEMBER 4, 2019

The National Association of Insurance Commissioners (NAIC) held its Summer 2019 National Meeting (Summer Meeting) in New York City from August 3 to 6, 2019. The amended regulation took effect on August 1, 2019, for annuity products and will become effective on February 1, 2020, for life insurance products.

Insurance 68

Insurance Paper Risk Big data 68

Reltio

JULY 6, 2018

Reltio’s unique approach to modeling relationships with graph technology, combined with big data science, enabled the client to unlock the critical intersections of interactions and information by creating a single repository of trusted and mastered pet parent profiles in real-time. Built-in HIPAA Compliance. Speed to Value.

MDM 60

MDM Insurance Retail Cloud 60

Reltio

NOVEMBER 9, 2020

Now Tech: Customer Data Management Solutions, Q1 2020, by Noel Yuhanna, Forrester Research, Inc., Our innovative customers span different industries like life sciences, financial services and insurance, healthcare, CPG, apparel, retail, travel and hospitality and high tech. Jan 8, 2020.

Customer Experience 72

Customer Experience MDM Retail Data science 72

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. AIOps is one of the fastest ways to boost ROI from digital transformation investments.

Retail 82

Retail Artificial Intelligence Unstructured data Insurance 82

Data Matters

JANUARY 2, 2018

The Relentless Rise of Big Data and AI. As big data and AI make our lives easier and more of our quotidian activities are pushed online, cybersecurity and privacy issues will continue to be business enablers or business roadblocks.

Privacy 68

Privacy Cybersecurity Data breaches GDPR 68

IBM Big Data Hub

JANUARY 18, 2024

Banking and financial services In a transactional industry, AI-powered chatbots can deliver fast and accurate answers , eliminate waiting times, streamline web searches for information and facilitate meaningful customer interactions. Industry benefits Chatbots can benefit from any industry but there are a few standout use cases.

Sales 85

Sales Artificial Intelligence Communications Marketing 85

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

DLA Piper Privacy Matters

AUGUST 23, 2021

Purposes/Restrictions on Use Collection and processing of data must be directly related to the purpose of processing specified in the privacy notice. Excessive data collection must be avoided. Interestingly the provisions of the PIPL around data minimisation appear to be targeted at apps and big data analytics.

Data Privacy 111

Data Privacy Privacy Compliance Analytics 111

IBM Big Data Hub

MARCH 27, 2024

Substantial repair costs might arise, particularly impacting insurance companies. In some business sectors, such as financial services, fast-moving consumer goods and healthcare, business interruptions can have a significant detrimental impact on daily life.

Risk 60

Risk Artificial Intelligence Agriculture Financial Services 60

Reltio

MAY 14, 2019

What trends or changes do you predict to the data management arena in the next few years? The big data era is maturing and the technologies that first appeared with big data will be enveloped into the cloud technologies.

Big data 45

Big data Government Cloud IT 45

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. Insurance & claims management.

Compliance 68

Compliance Risk Government Retail 68

Reltio

MAY 30, 2019

“We all know the “garbage in, garbage out” saying but unless you are working in data management then it is probably hard to gauge just how important it is to get the data right and the impact it can have on the results of your analytics.”. I learned this very early on and it is even more important in today’s world of big data.

Analytics 58

Analytics Digital transformation Blockchain Big data 58

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. Insurance & claims management.

Compliance 58

Compliance Risk Government Retail 58

Info Source

JUNE 7, 2018

The SER Group is a driver of future trends such as the interaction between ECM, cloud computing, big data and artificial intelligence (AI). Coinciding with the growth in licensing business, service business has also jumped by over 11%. “As a premium vendor, we constantly focus on innovation and quality.

ECM 40

ECM Marketing Content services Artificial Intelligence 40

IBM Big Data Hub

FEBRUARY 23, 2024

Banking and financial services: AI-driven solutions are making banking more accessible and secure, from assisting customers with routine transactions to providing financial advice and immediate fraud detection. Conversational AI is also making significant strides in other industries such as education, insurance and travel.

Analytics 95

Analytics Artificial Intelligence Marketing Education 95

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

APRIL 18, 2024

Image (55%): Gen AI can simulate how a product might look in a customer’s home or reconstruct an accident scene to assess insurance claims and liability. Financial services AGI might revolutionize financial analysis by going beyond traditional methods. The skills gap in gen AI development is a significant hurdle.

Artificial Intelligence 89

Artificial Intelligence Marketing e-Delivery Manufacturing 89

Reltio

APRIL 23, 2019

It’s the people who have no idea what master data is and no time to learn it – but who have all the money – who really need to understand the value of it and what it can do for the enterprise.” . How would you define “modern” data management and what does it /should it mean for organisations that adopt it?

MDM 40

MDM Marketing Big data Cloud 40

Data Matters

AUGUST 24, 2018

The National Association of Insurance Commissioners (NAIC) held its Summer 2018 National Meeting in Boston, Massachusetts, from August 4 to 7, 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.

Insurance 60

Insurance Big data e-Delivery Risk 60

IBM Big Data Hub

AUGUST 17, 2023

This technology has numerous potential applications in the financial services industry, supply chain management, voting systems and more. Also, CBDC can improve financial inclusion. billion people do not have access to basic financial services. According to the World Bank, around 1.7

Blockchain 70

Blockchain Financial Services Risk Government 70

Reltio

JULY 23, 2019

I worked in several Telcos and latterly in the City for an international insurance company. I enhanced my skills by becoming involved in new technologies like Informatica in the Data Integration space. If you’ve got people who already have an understanding of data and relevant skills, then you’ll accelerate your success.

MDM 40

MDM Cloud Analytics Marketing 40

Info Source

FEBRUARY 11, 2020

solutions include mortgage origination, healthcare patient records, employee onboarding, tax form and insurance claims processing. Accounts Payable Innovator Brad Gerritsen from Honda Logistics, one of Ephesoft’s most technologically advanced clients, shared a case study on automation in the financial services industry.

Digital transformation 52

Digital transformation Artificial Intelligence Mining Financial Services 52