Infographic: Is the Future of Ecommerce in Drone Deliveries?
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Is the Future of Ecommerce in Drone Deliveries?

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Is the Future of Ecommerce in Drone Deliveries?

Is the Future of Ecommerce in Drone Deliveries?

View the high resolution version of today’s graphic by clicking here.

In theory, getting a recent purchase delivered in mere minutes is every consumer’s dream.

In practice? It’s not exactly easy to do.

The logistics are complex and intense. The regulatory hurdles are steep and covered with red tape. And like autonomous vehicles, the technology is already capable of the task at hand – however, it will take time to build acceptance and trust with customers to allow drones to fly onto their property for any purpose.

Delivering Benefits

Today’s infographic from Raconteur shows that although the obstacles of drone deliveries may be plentiful, the potential benefits to retailers are too good to pass up.

Amazon, for example, made more than five billion deliveries to Prime customers in 2017, and a conservative estimate of the company’s shipping costs is at the $20 billion mark for last year. That means anything that can hack away at logistical costs would be very welcome for Amazon and other shippers, and drones could be a way to accomplish this.

Commercial drones can travel at up to 100 mph and deliver goods under 5 lbs (2.3 kg) – and according to ARK Investing Group, potentially each trip could occur at a low cost of $1 per shipment.

Even better? Faster shipments could mean higher revenues. After all, 86% of abandoned carts online are the result of expensive shipping costs, according to management consulting group McKinsey & Company.

Investing in Drone Deliveries

Which companies are putting their money into drone deliveries?

There are a few key examples:

Amazon, of course, is the best known one. The online retailer is testing Amazon Prime Air in several international locations to get goods to customers in 30 minutes or less.

UPS has also estimated that cutting off just one mile for the routes of each of the company’s 66,000 delivery drivers would amount to $50 million in savings. For this reason, UPS is testing drone deliveries, using the top of its vans as a mini-helipad.

Domino’s famously delivered the first pizza by drone in 2016 to a New Zealand couple. The pizza company says that drones will be an essential part of its future delivery operations.

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Infographic: Generative AI Explained by AI

What exactly is generative AI and how does it work? This infographic, created using generative AI tools such as Midjourney and ChatGPT, explains it all.

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Generative AI Explained by AI

After years of research, it appears that artificial intelligence (AI) is reaching a sort of tipping point, capturing the imaginations of everyone from students saving time on their essay writing to leaders at the world’s largest tech companies. Excitement is building around the possibilities that AI tools unlock, but what exactly these tools are capable of and how they work is still not widely understood.

We could write about this in detail, but given how advanced tools like ChatGPT have become, it only seems right to see what generative AI has to say about itself.

Everything in the infographic above – from illustrations and icons to the text descriptions⁠—was created using generative AI tools such as Midjourney. Everything that follows in this article was generated using ChatGPT based on specific prompts.

Without further ado, generative AI as explained by generative AI.

Generative AI: An Introduction

Generative AI refers to a category of artificial intelligence (AI) algorithms that generate new outputs based on the data they have been trained on. Unlike traditional AI systems that are designed to recognize patterns and make predictions, generative AI creates new content in the form of images, text, audio, and more.

Generative AI uses a type of deep learning called generative adversarial networks (GANs) to create new content. A GAN consists of two neural networks: a generator that creates new data and a discriminator that evaluates the data. The generator and discriminator work together, with the generator improving its outputs based on the feedback it receives from the discriminator until it generates content that is indistinguishable from real data.

Generative AI has a wide range of applications, including:

  • Images: Generative AI can create new images based on existing ones, such as creating a new portrait based on a person’s face or a new landscape based on existing scenery
  • Text: Generative AI can be used to write news articles, poetry, and even scripts. It can also be used to translate text from one language to another
  • Audio: Generative AI can generate new music tracks, sound effects, and even voice acting

Disrupting Industries

People have concerns that generative AI and automation will lead to job displacement and unemployment, as machines become capable of performing tasks that were previously done by humans. They worry that the increasing use of AI will lead to a shrinking job market, particularly in industries such as manufacturing, customer service, and data entry.

Generative AI has the potential to disrupt several industries, including:

  • Advertising: Generative AI can create new advertisements based on existing ones, making it easier for companies to reach new audiences
  • Art and Design: Generative AI can help artists and designers create new works by generating new ideas and concepts
  • Entertainment: Generative AI can create new video games, movies, and TV shows, making it easier for content creators to reach new audiences

Overall, while there are valid concerns about the impact of AI on the job market, there are also many potential benefits that could positively impact workers and the economy.

In the short term, generative AI tools can have positive impacts on the job market as well. For example, AI can automate repetitive and time-consuming tasks, and help humans make faster and more informed decisions by processing and analyzing large amounts of data. AI tools can free up time for humans to focus on more creative and value-adding work.

How This Article Was Created

This article was created using a language model AI trained by OpenAI. The AI was trained on a large dataset of text and was able to generate a new article based on the prompt given. In simple terms, the AI was fed information about what to write about and then generated the article based on that information.

In conclusion, generative AI is a powerful tool that has the potential to revolutionize several industries. With its ability to create new content based on existing data, generative AI has the potential to change the way we create and consume content in the future.

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