CIO
OCTOBER 20, 2022
Vishing: Voice over IP (VoIP) and Plain Old Telephone Services (POTS) are also susceptible to phishing attacks – attackers use speech synthesis software and automated calls to solicit victims to share bank details and login credentials. Smishing: Phishing over text (SMS) messages.
TechCrunch
MARCH 29, 2023
Securities and Exchange Commission (SEC) fined Wall Street banks, including Bank of America and Goldman Sachs, $1.8 See Deutsche Bank, which last June forced bankers to install an app called Movius that tracks communications on their phones. In September, the U.S.
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TechCrunch
FEBRUARY 15, 2023
YourBusinessNumber strips out data, minutes, texts and use of apps or VOIP, offering just the UID. That’s our unique IP, and we are banking on the fact that we’re going to get the most people verified on WhatsApp business, versus somebody just going out in the street buying a phone number and trying to do it on their own.”
David Heinemeier Hansson
JANUARY 8, 2024
VOIP, Cloud Storage, Email Services , Web Hosting) do not need to use in-app purchase, provided there is no purchasing inside the app, or calls to action for purchase outside of the app. This is the rule we were banking on them following with the HEY Calendar app. They even cite Email Services(!!) as an example in 3.1.3(f):
CIO
AUGUST 8, 2022
I’m certain we were well ahead of the game when major UK banks were calling our people for help because their employees couldn’t work from home.”. Grant Thornton’s partnership with Microsoft began when the firm scuttled its Mitel VoIP phone systems in favor of Skype for Business in 2016, just as Swift took over as CIO.
David Walsh
AUGUST 5, 2020
When I was young I remember looking at my bank book and seeing nice interest payments for cash I had in the bank. Fast forward to today and banks are giving essentially nothing for interest — your money just sits there collecting dust. That got me thinking about new and creative ways to earn interest on USD.
Cloudera
AUGUST 17, 2023
Obviously, as an industry, we have learned nothing. The implications for ML are dire, considering the real-world decisions being made by ML models such as evaluating creditworthiness, detecting cancer or guiding a missile.
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