Monday, August 31, 2020

Someone is angry with New Zealand?

https://www.reuters.com/article/us-nzx-cyber/new-zealand-bourse-website-hit-by-fresh-cyberattack-but-keeps-trading-idUSKBN25R004?&web_view=true

New Zealand bourse website hit by fresh cyberattack, but keeps trading

The New Zealand stock market was hit by a fifth day of cyber attacks on Monday, crashing its website, but maintained trading after switching to a contingency plan for the release of market announcements.

NZX Ltd (NZX.NZ) was halted for most of last week due to the attacks, which authorities have said originated offshore.

He declined to comment on who was behind the attacks, whether there had been any extortion demand or what measures have been put in place to stop future attacks.

… “NZX has been advised by independent cyber specialists that the attacks last week are among the largest, most well-resourced and sophisticated they have ever seen in New Zealand,” NZX’s Chief Executive, Mark Peterson said.





If you build it, they will come! use it inappropriately!

https://www.thedrive.com/the-war-zone/36013/mexican-drug-cartel-now-assassinating-its-enemies-with-improvised-explosive-toting-drones

Drug Cartel Now Assassinates Its Enemies With Bomb-Toting Drones

The tactic has become widespread on battlefields overseas and now appears to be proliferating to organized crime.

Mexico's drug cartels are notoriously well armed and equipped, with some possessing very heavy weaponry, including armored gun trucks sporting heavy machine guns. Now at least one of these groups appears to be increasingly making use of small quadcopter-type drones carrying small explosive devices to attack its enemies. This is just the latest example of a trend that has been growing worldwide in recent years, including among non-state actors, such as terrorists and criminals, which underscores the potential threats commercially-available unmanned systems pose on and off the battlefield.





An alternative to facial recognition?

https://dilbert.com/strip/2020-08-31





Perspective. How the pandemic will change the work environment...

https://hbr.org/2020/08/research-knowledge-workers-are-more-productive-from-home?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+harvardbusiness+%28HBR.org%29

Research: Knowledge Workers Are More Productive from Home

In this 2013 HBR article, we presented research showing that knowledge workers spend two-thirds of their time in meetings or doing desk-based work, even though they found these activities mostly tiresome.

But, then, in March 2020, the pandemic struck. Suddenly, many of us were sent home and forced to develop new ways of working. After several months, we now have a good sense of how our own day-to-day schedules have changed. But we don’t know how generalizable our experiences are. So we decided to replicate the 2013 study, using the same questions as before and interviewing respondents with similar profiles.





As usual, an incredibly huge list of resources.

https://www.bespacific.com/mining-data-on-the-internet-2020/

Mining Data on the Internet 2020

Via LLRX Mining Data on the Internet 2020 Data mining is a constantly evolving discipline applied in many fields including finance, law, healthcare, marketing, science and engineering, the retail industry, telecommunications, social media, and government. This guide by Marcus P. Zillman encompasses free, fee based and consultancy related sources to assist info pros, researchers, data analysts, knowledge managers and CI/BI experts to effectively identify, analyze and apply reliable, value added data within the scope of their respective work products.





For my geeks.

https://towardsdatascience.com/starting-your-journey-to-master-machine-learning-with-python-d0bd47ebada9

Starting Your Journey to Master Machine Learning with Python

Note: This will be part-1 of my “All About Machine Learning” course. However, each subsequent parts will be standalone parts. You can read the series in any order as per your convenience. I will try to cover the basics and most of the machine learning algorithms in the upcoming articles. To view other parts of the series you can click here.





Tools & Techniques.

https://www.bespacific.com/finding-email-addresses/

Finding Email Addresses

Via LLRX – Finding Email Addresses Across most sectors, customer support is no longer provided by human contacts but rather leads customers into endless telephone loops of menus, dealing with chatbots, or receiving emails from “no-reply” addresses. Finding email addresses for actual people is very difficult but Michael Ravnitzky’s article features proven tools and techniques to locate and use the email address of individuals within organizations who should be responding to your issues and complaints, and providing acceptable responses.

Since emails are part of a company’s communications interchange, email addresses and organizational email formats are hard to keep totally private and show up in a variety of places…



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