Lotus TechPros

[Families of Uvalde school shooting victims sue Microsoft, Meta and gunmaker]

Families of the victims killed in a school shooting in Uvalde, Texas, have filed two wrongful death lawsuits: one against the firearm manufacturer and another against two technology companies, Meta and Microsoft, for their alleged role in marketing the weapon used. More... https://buff.ly/4emoA8A

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Families of Uvalde school shooting victims sue Microsoft, Meta and gunmaker The two lawsuits allege the technology firms entered into a ‘scheme’ with the gun manufacturer to promote its weapons.

[Elevating Cybersecurity Awareness & Mitigating Risks]

CV Rao, President, CTO of Lotus TechPros:

In today’s digital landscape, organizations can be categorized into three distinct groups concerning cybersecurity:

1. Proactive organizations dedicated to enhancing their cybersecurity measures continually.
2. Passive organizations witnessing the repercussions of cyber-attacks on other entities without taking adequate preventative action.
3. Affected organizations grappling with the aftermath of cyber breaches, facing reputational damage, legal battles, and financial penalties.

Irrespective of current categorization, all organizations share a common desire: to bolster their security measures proactively and prevent cybercrime-related incidents.

However, many business owners and CEO’s find themselves at a loss when it comes to elevating their cybersecurity prevention posture. More... https://buff.ly/3KHrgju

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[Formula 1 chief appalled to find team using Excel to manage 20,000 car parts]

Excel is not an ERP. Running a business with Excel as a critical tool has many risks including getting data stolen. More... https://buff.ly/4cqeIK3

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Formula 1 chief appalled to find team using Excel to manage 20,000 car parts Williams team leader may only be shocked because he hasn't worked IT.

[The jobs we'll lose to machines -- and the ones we won't]

Machine learning isn't just for simple tasks like assessing credit risk and sorting mail anymore -- today, it's capable of far more complex applications, like grading essays and diagnosing diseases. With these advances comes an uneasy question: Will a robot do your job in the future? More... https://buff.ly/2QpvtKq

More from Lotus: https://buff.ly/3WvddVD

The jobs we'll lose to machines -- and the ones we won't Machine learning isn't just for simple tasks like assessing credit risk and sorting mail anymore -- today, it's capable of far more complex applications, like grading essays and diagnosing diseases. With these advances comes an uneasy question: Will a robot do your job in the future?