Lifeboat Foundation: Safeguarding Humanity
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Category: business – Page 188

Artificial intelligence (AI) is transforming how enterprises analyze and process information. It is also shifting from theoretical to real-world technology. Companies are deploying AI technologies to boost efficiency, reduce costs, and grow sales and profitability. The technology can also reduce marketing waste by predicting what works. It is the most impactful innovation of our lifetime, and it will create new winners and losers across entire industries.

According to Gartner, artificial intelligence will create $2.9 trillion in business value and 6.2 billion hours of worker productivity globally in 2021. Most of that value will be realized by enterprises that implement AI in functions such as sales management, customer service, manufacturing, and logistics. With improvements in natural language processing, employees and users can easily communicate with machine-learning interfaces.

Let’s look at how AI applications are revamping digital enterprises and the retail industry.

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Researchers from the University of Warwick, Imperial College London, EPFL (Lausanne) and Sciteb Ltd have found a mathematical means of helping regulators and business manage and police Artificial Intelligence systems’ biases towards making unethical, and potentially very costly and damaging commercial choices—an ethical eye on AI.

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As mentioned in previous videos, space junk is a deadly threat to our GPS, telecommunications, and satellite infraustructure. As such, in this video, we will talk about humanity’s upcoming, first mission to attempt to clean up orbital debris: Clearspace One, which is commissioned by the ESA.

Here is the petition link: https://www.change.org/p/save-vital-industries-call-for-subs…satellites

PS: The stock footage from this photo comes from Videvo!

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Chesky predicted that vacationers will stay closer to home in the future, largely limiting their travel to places within driving distance, with national parks becoming even more popular destinations.

“I think you’re going to start to see travel becoming more intimate, more local, to smaller communities,” he said, citing Airbnb data that shows travel within countries is recovering to normal levels. But its international business is still being hit hard. “People are not getting on airplanes, they’re not crossing borders, they’re not meaningfully traveling to cities, they’re not traveling for business.”

Read: Is it safer to stay at a hotel or an Airbnb during your summer vacation? ‘We need to balance sanity and risk’

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He stresses that these are not “luxury bunkers” for the top 1 percent, and only a small part of the calls are coming from Doomsday preppers or Cold War-era holdovers. Rather, about two-thirds of his business comes from consumers who pay approximately $25,000 for an underground livable dwelling. Since the outbreak of the coronavirus pandemic, Mr. Woodworth said he has been unable to keep up with the demand.

When we were told to stay inside our homes, a portion of the population quietly went below ground.

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In recent days, the coronavirus pandemic is wrecking havoc on our society. However, the next pandemic is likely to come from one of either two sources: 1) man-made bioterrorism agents or 2) man’s encroachment on nature.

PS: The stock footage from this photo comes from Videvo!

Discord Link: https://discord.gg/brYJDEr
Patreon link: https://www.patreon.com/TheFuturistTom
Please follow our instagram at: https://www.instagram.com/the_futuris…

For business inquires, please contact [email protected]

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The lifecycle starts when data is collected or ingested from any source. With the advent of 5G, this includes ever more data that’s streamed and generated in real-time.

Companies realize that in order to grow, connect products and services, or protect their business, they need to become data-driven. In selecting the tools to realize these goals, organizations effectively have two choices: a self-selected combination of analytics tools and applications or a unified platform that handles all. In this blog we will discuss the challenges of the former choice that will provide justification for the latter. Let’s take a step back and ask: what do organizations need in terms of analytics to realize their data-driven goals? What is needed to combat customer churn, provide a predictive maintenance service or identify fraud as it happens? One thing is clear: it is not one single analytical capability. Implementing innovative and differentiating business use cases is not simply selecting the perfect data warehouse solution and calling it good. Today’s solutions require more than a better individually functional tool. Going from data to insight to action demands a complete range of capabilities that spans the data life cycle from the edge to AI.

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Is Industry 4.0 applicable to only machines or is there scope for businesses to leverage the concept of ‘Connected Workers’?

The shift towards Industry 4.0 is improving manufacturing efficiency and the factory of the future will increasingly be driven by technology like the Internet of Things (IoT), Automation, Artificial Intelligence (AI), and Cloud Computing.

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