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Autonomous Vehicles – Canada’s Current Legal Framework: Privacy (Part 4)

Data Protection Report

Across the globe, the race is already underway among vehicle manufacturers to develop fully autonomous vehicles (AVs). AVs currently under development make sense of their surroundings and control vehicle operation through data gathered about the outside world. Additionally, since AVs can collect data from multiple sources (e.g.,

Privacy 85
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Businesses to Assist NHS Test and Trace Efforts

Hunton Privacy

Establishments and companies in the UK will therefore be responsible for the additional collection and potential sharing of customers’ personal data. Any entity engaging in this kind of data collection will need to comply with the requirements of data protection law.

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Big California Privacy News: Legislative and Enforcement Updates

Data Matters

As a provider subject to CMIA, mental health apps would be subject to HIPAA-like constraints on their ability to use and share data collected and will have increased litigation exposure, as CMIA includes a private right of action. New CCPA Enforcement Case Examples – Opt Outs, GPC, Clarity & Functionality Are Top of Mind.

Privacy 197
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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

2 For example, some are turning to software solutions that can more easily capture, manage and report ESG data. Industry 4.0 : Manufacturers are integrating new technologies, including Internet of Things (IoT) , cloud computing and AI and machine learning, into their production facilities and throughout their operations.

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U.S. Commerce Department Proposes Expansion of Information and Communications Technology and Services Review Process

Data Matters

2 Specifically, the interim final rule would be amended to include transactions that involve “software, software program[s], or a group of software programs, that [are] designed to be used on an end-point computing device and include[] as an integral functionality, the ability to collect, process, or transmit data via the internet.”

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Smart manufacturing technology is transforming mass production

IBM Big Data Hub

Smart manufacturing (SM)—the use of advanced, highly integrated technologies in manufacturing processes—is revolutionizing how companies operate. Smart manufacturing, as part of the digital transformation of Industry 4.0 , deploys a combination of emerging technologies and diagnostic tools (e.g.,

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.