The hottest Data Sharing Substack posts right now

And their main takeaways
Category
Top Technology Topics

There's a technology built into our cars to make driving safer – but we're not using it.

Odds and Ends of History • 1541 implied HN points • 19 Jan 24
🕹 Technology Safety Emergency Response Data Sharing Innovation
  1. There's a built-in technology in cars for safer driving that's not being utilized properly.
  2. The eCall system can connect drivers to emergency services with just a press of a button, providing important data like location and car details.
  3. The potential of eCall data to optimize emergency response and improve road safety is hindered by lack of integration among different emergency service systems.

☎️ Interview: Stijn Christiaens, CEO of Collibra on the State of Privacy-Enhancing Technologies #004

Let Us Face the Future • 19 implied HN points • 05 Apr 23
🕹 Technology Data Governance Data Sharing Data Monetization
  1. Collaborative computing is shaping the future of data use and value maximization.
  2. Selling data products often means competing against non-consumption and overcoming organizational inertia.
  3. The rise of Chief Data Officers is simplifying the sales process and driving internal data sharing before external collaboration.

☎️ Interview: Dr Hyoduk Shin, Professor of Innovation at UC San Diego on the State of Privacy-Enhancing Technologies #003

Let Us Face the Future • 19 implied HN points • 05 Mar 23
🕹 Technology Privacy Data Sharing Data Governance Regulation
  1. Collaborative computing is becoming a trillion-dollar market reshaping how data is used in the economy.
  2. To promote data sharing, companies need to realign incentives, focus on building relationships, work on culture, and segment data by time.
  3. Financial services and healthcare are early adopters of data collaboration tools due to confidentiality and regulation around privacy and data security.

A Tourist's Guide to Datasets

Cybernetic Forests • 59 implied HN points • 04 Jul 21
🕹 Technology Data Collection Machine Learning Data interpretation Data Sharing Digital Art
  1. Machines understand models of reality through data, influenced by what is deemed significant, leading to gaps and potential misinterpretations.
  2. Datasets are contextual and not universally applicable, emphasizing the importance of clear documentation and awareness of data limitations.
  3. Creating a 'Tourist's Guide to Datasets' with annotations and personal insights can enhance understanding and avoid misuse when data is reused for different purposes.
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Study 1b: This One Weird Trick does NOT cause incorrectness cascades

From AI to ZI • 0 implied HN points • 20 Apr 23
🔬 Science Research Analysis Statistics Modeling Data Sharing
  1. Study found that changing question format from multiple choice to true/false did not significantly affect GPT-3.5's tendency to prefer factual answers
  2. The study showed mixed results for the hypotheses tested regarding the accuracy of answers based on question format and context
  3. Despite some limitations and deviations from the original plan, the study provided insights on how GPT-3.5 performs in providing factual answers

Alert: Central Bank of Nigeria Circular PSM/DIR/PUB/CIR/02/01

RegAlert • 0 implied HN points • 17 Feb 21
💰 Finance Regulation Banking Innovation Financial inclusion Data Sharing
  1. The Central Bank of Nigeria has issued a regulatory framework for open banking to encourage innovation and financial inclusion.
  2. The framework establishes principles for data sharing, including requirements for data and API access, technical design, and information security.
  3. Operational guidelines related to the open banking framework will be provided at a later date.