You might like
What are the consequences of letting Big #Tech into our every #movement? What will #COVID-19 mean for our #location #data? Learn more: hubs.ly/H0pXBNn0
What happens to privacy in a global #pandemic? Big tech companies #Google and #Apple have released their joint contact-tracing system, limiting #invasive apps on their devices during this pandemic. Learn more: hubs.ly/H0pJ6dB0
As the world continues to brace the impact of #Covid19, data #privacy remains a central concern while working from home and containing the spread. #Google, #Zoom and #government officials are all coping with data privacy differently. Learn more: hubs.ly/H0pddMP0
While various government actions are being assessed for their ability to support tech during COVID-19, commercial rent remains an immediate pressure. It's amazing that @oneeleven_111 + @Siriagrell took immediate action to offer 2 months of rent abatement to tenants.
How can #data professionals #protect data while still maintaining a high #dataquality? We list four #techniques best suited for the goal of data #privacy. Learn more: hubs.ly/H0p9CCj0
The #technology in our lives has become so #interconnected, #deidentifying our #data, while achievable, on a grand scale, is seemingly complicated. How is this complication exposing our data #privacy? Learn more: hubs.ly/H0p3sV80
As the #data #privacy discourse continues to grow, it's crucial that the terms used to explain #datascience, #dataprivacy and #dataprotection are accessible to everyone. We've created a #glossary of the 25 most significant data privacy terms. Learn more: hubs.ly/H0nSFBp0
Like here at CryptoNumerics, #companies have sent their #workers home with the tools they need to complete their regularly scheduled tasks from the comfort of their own homes. How will #online resources manage the #influx of #online users? Learn more: hubs.ly/H0nNrQv0
#Fraud is costing #financial industries tens of millions of dollars each year. In 2019, Canada saw $96 million in losses from financial fraud. What are #banks doing to detect fraud? Learn more: hubs.ly/H0nK07v0
What does the 80/20 rule mean in #data #science? Is it efficient in dealing with the millions of #gigabytes of data created each day? What does the data #bottleneck mean for our data? Learn more: hubs.ly/H0nDX2R0
The rapid spread of the #COVID19 has sent the world into mass shock, halting the movement in the #economy, companies, schools and regular life. What does this shock mean for #patient #privacy? Learn more: hubs.ly/H0nCPr80
On April 1st, 2020, people across the United States will receive the decennial #census to complete. How will #individual #privacy be managed? Learn more: hubs.ly/H0ntldT0
Data sharing is an issue spanning from #healthcare to #socialmedia. Learn more about what's happening with your #data during the #coronavirus or through popular app #TikTok : hubs.ly/H0nsBJ90
Data #regulations are being introduced left and right. And while effective, they are not yet representative of growing #technologies like #facialrecognition or #datamarketplaces. Learn more: hubs.ly/H0n65370
Our everyday actions, like buying a morning coffee or taking the train, all create a #digital trail of our lives. Are these #habits #exposing our #data to companies? Learn more: hubs.ly/H0mX92v0
The #UN suffered a major #cyberattack in 2019 and kept its occurrence quiet from the public and staff. Learn more: hubs.ly/H0mS6Lp0
Using methods like data #masking, #privacy risks land at almost 0%. However, with information loss reaching a potential of over 50%, the opportunity for #data #analytics vanishes. Learn more: hubs.ly/H0mT-PG0
This year has so far seen a significant conjoining of #privacy and #politics. As the UK has now officially left the EU, many are left wondering what will happen to their #privacyprotection. Learn more: hubs.ly/H0mS8nv0
Apple's #Safari exposed by #Google as unsafe for user information, despite claims of #privacy protection. Learn more: hubs.ly/H0mLFR60
The McKinsey Global Institute predicted that open data could unlock USD 5 trillion per year in economic value globally. However, opening data can't happen without privacy protection. Learn more: hubs.ly/H0mQ5JB0
United States Trends
- 1. #UFC322 36.9K posts
- 2. Ewing 4,669 posts
- 3. Bama 18.8K posts
- 4. Wellmaker 3,143 posts
- 5. Oklahoma 28.5K posts
- 6. Noah Thomas N/A
- 7. Ty Simpson 3,806 posts
- 8. #AEWCollision 4,119 posts
- 9. Jeremiah Smith 1,957 posts
- 10. Bronny 4,667 posts
- 11. Boomer Sooner 2,097 posts
- 12. Wingo N/A
- 13. #GoDawgs 4,976 posts
- 14. Iowa 19.7K posts
- 15. Sabatini 1,377 posts
- 16. UConn 4,587 posts
- 17. Georgia 78K posts
- 18. Lagway 1,194 posts
- 19. Mateer 3,205 posts
- 20. #Svengoolie N/A
You might like
Something went wrong.
Something went wrong.