Hunton Privacy

NOVEMBER 2, 2011

On November 2, 2011, following welcome comments by Federal Institute for Access to Information and Data Protection (“IFAI”) Commissioner Jacqueline Peschard, the 33rd International Conference of Data Protection and Privacy Commissioners opened in Mexico City with an examination of the phenomenon of “Big Data” as a definer of a new economic era.

Big data 40

Big data Privacy Marketing Data collection 40

IBM Big Data Hub

SEPTEMBER 12, 2023

The consortium ran a pilot that provided the government with additional supply chain data for 700,000 consignments. Through the pilots, the UK government found that novel, digital, risk-based methods for border control can provide higher quality data and could decrease decision-making time for goods entering Britain by 17%.

Government 84

Government Data collection Analytics Risk 84

IBM Big Data Hub

MAY 28, 2024

A good DLM process can help organize and structure critical data, particularly when organizations rely on diverse types of data storage. It can also help them reduce vulnerabilities and ensure data is efficiently managed, compliant with regulations, and not at risk of misuse or loss.

Data breaches 82

Data breaches GDPR Compliance Encryption 82

IBM Big Data Hub

APRIL 24, 2024

Deploying privacy protections: The app uses encryption to protect data from cybercriminals and other prying eyes. Even if the data is stolen in a cyberattack , hackers can’t use it. These access controls reduce the chances that the data is used for unauthorized or illegal purposes.

Data Privacy 78

Data Privacy Privacy GDPR Personal data 78

IBM Big Data Hub

FEBRUARY 23, 2024

Second, a comprehensive inventory makes it easier to comply with user requests to share, update, or delete their data. To ensure that consent is informed, the organization should clearly explain what it collects and how it will use that data at the point of data collection. Consents cannot be bundled, either.

GDPR 75

GDPR Compliance Personal data Privacy 75

IBM Big Data Hub

FEBRUARY 7, 2024

Investors, regulators and stakeholders are increasingly demanding that companies disclose their exposure to climate-related risks , such as dependence on fossil fuels or vulnerability to weather events. Join the IBM Sustainability Community 1 Green transition creates $10.3T

Artificial Intelligence 89

Artificial Intelligence Risk Agriculture Government 89

Hunton Privacy

OCTOBER 16, 2014

The closed session featured a discussion on the benefits and risks of the Internet of Things among four experts from academia and the private sector and the Conference member authorities. Data derived from Internet of Things devices should be considered personal data. Resolution on Big Data.

Privacy 40

Privacy Big data Data collection Personal data 40

IBM Big Data Hub

JANUARY 22, 2024

The GDPR defines the circumstances under which companies can legally process personal data. An organization must establish and document its legal basis before collecting any data. The organization must communicate this basis to users at the point of data collection.

GDPR 80

GDPR Compliance Personal data Privacy 80

AIIM

SEPTEMBER 12, 2018

Data Privacy and Open Data: Secondary Uses under GDPR. Mitigate Data Privacy and Security Risks with Machine Learning. GDPR and Cross Border Data Flows between the EU and the US: Current State of the Law. Predictive analytics is fundamentally changing the definition of data. Data Discovery.

GDPR 92

GDPR Government Information governance Compliance 92

Data Matters

SEPTEMBER 28, 2021

Additional research was presented that machine learning models that aim to bolster fairness by imposing known constraints in the data training phases have a greater risk of compromising information of underprivileged subgroups. Panelists called for stronger privacy protections to minimize exploitation of children and teens online.

Privacy 88

Privacy Security IoT Data breaches 88

IBM Big Data Hub

JANUARY 19, 2023

They have been exceedingly clear in communicating with consumers what data is collected, why they’re collecting that data, and whether they’re making any revenue from it. They go to great lengths to integrate trust, transparency and risk management into the DNA of the company culture and the customer experience.

Data Privacy 60

Data Privacy Customer Experience Privacy Compliance 60

IBM Big Data Hub

SEPTEMBER 28, 2023

This process is designed to help mitigate risks so that model outputs can be deployed responsibly with the assistance of watsonx.data and watsonx.governance (coming soon). Building transparency into IBM-developed AI models To date, many available AI models lack information about data provenance, testing and safety or performance parameters.

Risk 87

Risk Insurance Data collection Libraries 87

The Guardian Data Protection

APRIL 23, 2019

After all, it’s competition – not size – that demands more data, more attention, more engagement and more profits at all costs. It’s competition for ad dollars that drives Google, Facebook and Amazon to ignore privacy concerns and expand data collection. It’s competition that demands the tech giants expand.

Data collection 75

Data collection Privacy Risk Government 75

erwin

DECEMBER 20, 2018

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. The Top 6 Benefits of Data Governance. Data Governance 2.0

Government 40

Government Financial Services GDPR Data breaches 40

DLA Piper Privacy Matters

AUGUST 23, 2021

This aligns with other recent guidance putting clearer parameters around use of biometric data in China). 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.

Data Privacy 111

Data Privacy Privacy Compliance Analytics 111

IBM Big Data Hub

SEPTEMBER 6, 2023

Why budgeting feels like a marathon Just like marathon training takes months of preparation, crafting a budget involves a lot of data collection, metrics analysis, resource allocation and collaboration. Unanticipated risks Good budgeting plans for risks.

Analytics 83

Analytics Marketing Artificial Intelligence Sales 83

IBM Big Data Hub

AUGUST 28, 2023

Information retrieval The first step in the text-mining workflow is information retrieval, which requires data scientists to gather relevant textual data from various sources (e.g., The data collection process should be tailored to the specific objectives of the analysis.

Mining 53

Mining Marketing Artificial Intelligence Customer Experience 53

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. ML algorithms can predict patterns, improve accuracy, lower costs and reduce the risk of human error.

Artificial Intelligence 82

Artificial Intelligence Retail Unstructured data Insurance 82

DLA Piper Privacy Matters

JUNE 21, 2021

Prior approval must be sought from the relevant China authorities before data collected or stored within Mainland China is provided to overseas judicial or law enforcement bodies. It is unclear whether this may apply to requests for data from other overseas regulators such as industry regulators.

Security 71

Security Compliance Data Privacy Risk 71

IBM Big Data Hub

AUGUST 3, 2023

Organizations cannot risk unnecessary unplanned downtime or increased latencies because an application failed or underperformed. Software downtime is a huge organizational risk because it decreases customer satisfaction and potentially violates a service-level agreement with end users.

Cybersecurity 63

Cybersecurity Data collection Risk Data breaches 63

IBM Big Data Hub

APRIL 22, 2024

The US City of Atlanta , for example, uses IBM data collection, machine learning and AI to monitor public transit tunnel ventilation systems and predict potential failures that could put passengers at risk. This will help advance progress by optimizing resources used.

Energy and Utilities 77

Energy and Utilities IoT Data collection Analytics 77

IBM Big Data Hub

JANUARY 15, 2024

Privacy pertains to an AI system’s ability to prioritize and safeguard consumers’ privacy and data rights while complying with existing regulations related to data collection, storage, access and disclosure.

Government 63

Government Artificial Intelligence Digital transformation Privacy 63

IBM Big Data Hub

SEPTEMBER 20, 2023

Or they can stay on the sidelines and risk missing out on AI’s ability to help agencies more effectively meet their objectives. Privacy: An AI system’s ability to prioritize and safeguard consumers’ privacy and data rights and address existing regulations in the data collection, storage and access and disclosure.

Government 100

Government Artificial Intelligence Privacy Digital transformation 100

IBM Big Data Hub

SEPTEMBER 6, 2023

From customized content creation to task automation and data analysis, AI has seemingly endless applications when it comes to marketing, but also some potential risks. They can also reduce the likelihood of human error, deliver more personalized customer messages and identify at-risk customers. What is AI marketing?

Marketing 78

Marketing Artificial Intelligence Customer Experience Privacy 78

ARMA International

FEBRUARY 21, 2020

Once connected, data can be exchanged, and the body and device can be remotely monitored and controlled.” Benefits and Risks. Each type of IoB device brings with it benefits and risks. Case law is beginning to address data collection and data privacy issues associated with the IoB. For More Information.

Computer and Electronics 105

Computer and Electronics Privacy Artificial Intelligence IoT 105

IBM Big Data Hub

AUGUST 14, 2023

Under-deployed tools and solutions that do the minimal that’s “good enough” or that face other barriers like the risk aversion to fully automating processes that could have unintended consequences. Budget constraints for cybersecurity and perception that their organization is sufficiently protected.

Data breaches 55

Data breaches Analytics Artificial Intelligence Cybersecurity 55

IBM Big Data Hub

JUNE 8, 2023

These elements support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, achieve greater efficiencies and respond to risks.

Manufacturing 77

Manufacturing Data collection Analytics Marketing 77

Data Protection Report

MAY 23, 2018

If your organization is a social network, mobile app, a service offered to children, driverless cars, big data analytics, or an advertising company, the European Commission has shown an explicit interest in how people’s information is protected from those industries—no matter where it is sent, processed or stored—even outside the EU.

GDPR 40

GDPR Personal data Compliance Data breaches 40

IBM Big Data Hub

MAY 26, 2023

With the growth in usage of digital technology and cloud in the life sciences industry, digital information is more readily available and at a greater risk for exploitation. The role of AWS and cloud security in life sciences However, with greater power comes great responsibility.

Cybersecurity 74

Cybersecurity Cloud Compliance Computer and Electronics 74

Krebs on Security

OCTOBER 12, 2018

TS: The government still has regular meetings on supply chain risk management, but there are no easy answers to this problem. The attacker in this case has a risk model, too. The attacker in this case has a risk model, too. Yes, he could put something in the circuitry or design, but his risk of exposure also goes up.

Security 209

Security Computer and Electronics IoT Cloud 209

IBM Big Data Hub

AUGUST 7, 2023

In an ideal scenario, they would be able to, with relative and consistent accuracy, predict performance of clinical trial sites that are at risk of not meeting their recruitment expectations. Ultimately, enabling real-time monitoring of site activities and enrollment progress could prompt timely mitigation actions ahead of time.

Healthcare 55

Healthcare Artificial Intelligence Data science Compliance 55

IBM Big Data Hub

AUGUST 11, 2023

Creating an MLOps process builds in oversight and data validation to provide good governance, accountability and accuracy of data collection. Efficiency and cost savings—Data science models previously required significant computing power at a high cost.

Data science 53

Data science Artificial Intelligence Paper Compliance 53

Collibra

JANUARY 25, 2019

Customers are no longer only consumers of data, but they contribute through platforms and social networks as well. By adapting to the specific needs of the customer based on the data collected, the customer experience can be enhanced. The post Data Governance and Business Transformation appeared first on Collibra.

Government 40

Government Digital transformation Customer Experience Metadata 40

The Last Watchdog

MAY 20, 2022

Keeping up with new risks, resolving them as soon as they occur, and recovering from incidents identified too late may, as you can certainly imagine, take up valuable resources and cause businesses to lose time, money, and the trust of their clients/partners. But, you may be wondering, what about the hazards of outsourcing cybersecurity?

Security 247

Security Cybersecurity Digital transformation Marketing 247

John Battelle's Searchblog

FEBRUARY 26, 2012

Security : Consumers have a right to secure and responsible handling of personal data. ? Access and Accuracy : Consumers have a right to access and correct personal data in usable formats, in a manner that is appropriate to the sensitivity of the data and the risk of adverse consequences to consumers if the data is inaccurate. ?

Data Privacy 72

Data Privacy Privacy Personal data Data collection 72

HL Chronicle of Data Protection

NOVEMBER 30, 2018

In the digital age, data is everything. Big Data” feeds countless business processes and offerings. This is the eighth installment in Hogan Lovells’ series on the California Consumer Privacy Act.

Marketing 40

Marketing Privacy Sales Compliance 40

Data Matters

MAY 9, 2019

state regulators risk federal preemption of state law unless they adopt such reinsurance collateral reforms within 60 months from September 2017 – the date the Covered Agreement with the European Union (EU) was signed. NAIC Continues to Consider the Use of Big Data and Blockchain Technology in the Insurance Industry.

Insurance 68

Insurance Blockchain Big data Risk 68