IBM Big Data Hub

FEBRUARY 22, 2024

We strongly believe the influx of data associated with AI will fuel tremendous business innovations, but requires strategic considerations, including around where data resides, data privacy, resilience, operational controls, regulatory requirements and compliance, and certifications.

Cloud 74

Cloud Computer and Electronics Compliance Financial Services 74

DLA Piper Privacy Matters

AUGUST 23, 2021

Rather than bringing substantial changes to the existing China data privacy framework, the PIPL helpfully consolidates and clarifies obligations on processing of personal information at a national law level. Express, informed consent must generally be obtained from data subjects for all processing of personal information.

Data Privacy 111

Data Privacy Privacy Compliance Analytics 111

IBM Big Data Hub

AUGUST 1, 2023

We believe the strategies outlined in the report reaffirm the importance of working with a cloud provider that enterprises can trust with their data to help them address third- and fourth-party risks.

Financial Services 63

Financial Services Computer and Electronics Cloud Digital transformation 63

IBM Big Data Hub

DECEMBER 18, 2023

For organizations of all types—and especially those in highly regulated industries such as financial services, government, healthcare and telco—considerations including the rise of generative AI, evolving regulations and data sovereignty laws and ongoing security challenges must be top of mind.

Cloud 63

Cloud Financial Services Compliance Digital transformation 63

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. The post The U.S.

Artificial Intelligence 68

Artificial Intelligence Blockchain Financial Services Computer and Electronics 68

IBM Big Data Hub

JANUARY 12, 2024

Organizations must conduct meticulous due diligence on the legal landscapes of the cloud providers’ operational jurisdictions, ensuring alignment with data protection regulations. Robust encryption, granular access controls and privacy-preserving techniques become imperative to counter the risks of unauthorized data access and use.

Cloud 95

Cloud Data Privacy Encryption Privacy 95

IBM Big Data Hub

FEBRUARY 5, 2024

The Digital Operational Resilience Act (DORA) marks a significant milestone in the European Union’s (EU) efforts to bolster the operational resilience of the financial sector in the digital age. Ensuring end-to-end Protection To achieve total data privacy assurance, a key component is confidential computing and cryptography.

Encryption 67

Encryption Data Privacy Compliance Cloud 67

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. ( At IBM we believe AI governance is the responsibility of every organization to adhere to ethical, explainable AI, respecting individual rights, privacy and non-discriminatory practices.

Government 97

Government Artificial Intelligence Metadata Data science 97

IBM Big Data Hub

SEPTEMBER 20, 2023

When implemented in a responsible way—where the technology is fully governed, privacy is protected and decision making is transparent and explainable—AI has the power to usher in a new era of government services. AI’s value is not limited to advances in industry and consumer products alone.

Government 101

Government Artificial Intelligence Privacy Digital transformation 101

IBM Big Data Hub

DECEMBER 14, 2023

Minimizing breaches and vulnerabilities As more enterprises adopt technologies to help solve their data security and privacy concerns, the lifecycle of a security breach becomes more integral to the overall financial impact to the organization.

Cloud 83

Cloud Security Data breaches Cybersecurity 83

IBM Big Data Hub

JANUARY 10, 2024

This unique capability is designed for workloads that have strong data sovereignty, regulatory or data privacy requirements. As such, confidential containers play a key role across industries engineered to secure data and foster innovation.

Security 71

Security Cloud Data Privacy Financial Services 71

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

erwin

APRIL 11, 2019

Keeping up with new data protection regulations can be difficult, and the latest – the General Data Protection Regulation (GDPR) – isn’t the only new data protection regulation organizations should be aware of.

GDPR 100

GDPR e-Discovery Compliance Metadata 100

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

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. A few key defenses and preparation could save your organization from big data breach disasters. This varies between organizations. You can unsubscribe at any time.

Data breaches 98

Data breaches Big data Cybersecurity Security 98

IBM Big Data Hub

MAY 9, 2023

Scaling with growing AI regulations With the increasing number of AI regulations, responsibly implementing and scaling AI is a growing challenge, especially for global entities governed by diverse requirements and highly regulated industries like financial services, healthcare and telecom.

Data science 71

Data science Artificial Intelligence Metadata Compliance 71

IBM Big Data Hub

JULY 26, 2023

Businesses in sectors including agriculture, retail, utilities, and financial services will be able to use these models for risk assessment and mitigation. A Responsible AI approach and an AI Governance framework are both needed to ensure guardrails are in place for the responsible use of both Classic and generative AI.

Energy and Utilities 73

Energy and Utilities Agriculture Manufacturing Risk 73

Data Matters

SEPTEMBER 24, 2019

Today, more than 120 countries have privacy and data protection laws or regulations in place. Many of the new or modernized laws tend to be based on comprehensive legislation, rather than sectoral rules, as data needs to move across industry groups and borders. An Overview of the BDPA.

Personal data 68

Personal data GDPR Data Privacy Privacy 68

IBM Big Data Hub

FEBRUARY 14, 2024

IBM Research is working to help its customers use generative models to write high-quality software code faster, discover new molecules , and train trustworthy conversational chatbots grounded on enterprise data. AIOps is one of the fastest ways to boost ROI from digital transformation investments.

Artificial Intelligence 83

Artificial Intelligence Retail Unstructured data Insurance 83

IBM Big Data Hub

JULY 11, 2023

Telcos can also play the role of data providers as well as data marketplace and brokerage operators within the ecosystem. Vertical data platforms owned and operated by telcos and targeting a specific industry such as automotive, agriculture or financial services already exist today.

IoT 51

IoT Artificial Intelligence Agriculture Blockchain 51

IBM Big Data Hub

SEPTEMBER 27, 2022

Whether it be financial services, employee hiring, customer service management or healthcare administration, AI is increasingly powering critical workflows across all industries. Does it safeguard data? Today AI permeates every aspect of business function. But with greater AI adoption comes greater challenges.

Government 52

Government Compliance Data science Financial Services 52

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. This improves the shopping experience and positively influences customer engagement, retention and conversion rates.

Analytics 96

Analytics Artificial Intelligence Marketing Education 96

eSecurity Planet

JANUARY 21, 2021

Data privacy regulations like the EU’s General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) can be hard to navigate for businesses of any size, but GRC tools can simplify and streamline compliance with all of the requirements. Privacy governance and management. Back to top.

Compliance 67

Compliance Risk Government Retail 67

eSecurity Planet

JANUARY 21, 2021

Data privacy regulations like the EU’s General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) can be hard to navigate for businesses of any size, but GRC tools can simplify and streamline compliance with all of the requirements. Privacy governance and management. Back to top.

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

The Last Watchdog

AUGUST 30, 2021

Querying at scale is a long-recognized challenge of legacy SIEM solutions; when you intentionally create a big data problem, you must also find a way to solve it. However, there are cases where enterprises, like large players in the financial services vertical, simply need to collect ridiculously vast amounts of data.

Analytics 230

Analytics Security Marketing Financial Services 230

The Last Watchdog

SEPTEMBER 23, 2019

Here are key takeaways: Security benefits Protect the data itself. Yet in the age of Big Data and digital transformation many organizations still don’t do this very well. For a full drill down, give a listen to the accompanying podcast. Sounds simple enough.

Encryption 159

Encryption Security Compliance Digital transformation 159

IBM Big Data Hub

APRIL 11, 2024

A cloud-based infrastructure that uses IBM Cloud® for Financial Services can be the answer to ensure the security, privacy and flexibility needed to keep up with these changes in the industry. Privacy and data security are the primary concerns regarding AI in instant payments transactions.

Cloud 58

Cloud Financial Services Privacy Compliance 58

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. The post Regulatory Update: NAIC Summer 2019 National Meeting appeared first on Data Matters Privacy Blog.

Insurance 68

Insurance Paper Risk Analytics 68

IBM Big Data Hub

OCTOBER 16, 2023

Data sovereignty is the control of sensitive data in adherence to local geographical jurisdiction and prevention of unauthorized access and loss of data. Data sovereignty addresses legal, privacy, security and governance concerns associated with the storage, processing and transfer of data.

Cloud 66

Cloud Compliance Data Privacy Privacy 66

IBM Big Data Hub

FEBRUARY 8, 2023

Organizations need to protect individuals’ privacy and build trust. Organizations in highly regulated markets such as healthcare, government and financial services have additional challenges in meeting industry regulations around data and models. The average cost of compliance came in at $5.47 million.

Artificial Intelligence 52

Artificial Intelligence Compliance Analytics Government 52

Thales Cloud Protection & Licensing

FEBRUARY 28, 2024

The report puts the onus on CSPs to “increase employee engagement experts, and to improve supportive technological tools and adoption frameworks that can help ensure that financial service firms design and maintain resilient, secure platforms for their customers.” Discover and classify your sensitive data wherever it resides.

Cloud 77

Cloud Government Encryption Security 77

IBM Big Data Hub

AUGUST 15, 2023

It ensures the data and AI models are not only accurate, providing a higher-quality outcome, but that the data is being used in a safe and ethical way. With the rapid acceleration of AI technology, many have begun to ask questions about ethics , privacy and bias. How will you ensure AI is trustworthy?

Artificial Intelligence 75

Artificial Intelligence IT Customer Experience Government 75

Data Matters

DECEMBER 27, 2018

With the midterm election out of the way, legislators on Capitol Hill and in state capitols are getting ready to consider the future of data privacy regulation in 2019 and consumer and industry groups continue to weigh in on the ongoing debate. However, many important differences and open issues remain.

Privacy 68

Privacy Data Privacy Personal data Data breaches 68