The Industrial Internet of Things as the Next Big Growth Driver?
The Internet of Things (IoT) is often marketed as a consumer-based technology phenomenon that will combine the potential of low-cost sensors and big data with wide-scale internet connectivity.
The promise of this consumer-focused vision of IoT is to change how we interact with daily objects in our lives. When people talk about the IoT, they often bring up ideas such as the connected home, automobiles, or health – concepts that will change how we live on a personal level.
But flying under the radar is a less sexy sub-sector of the IoT that could ultimately prove to be the most transformative – the marriage of the internet of things with industrial applications such as mining, oil and gas, infrastructure, aviation, locomotives, cities, farming, manufacturing, and power generation.
It’s been coined the “Industrial Internet of Things” (IIoT) by giants like GE, AT&T, Cisco, Intel, and IBM– and today’s infographic from RS Components shows that the economic growth stemming from this industrial internet revolution could be game-changing.
Industrial Internet of Things
The opportunity behind the IIoT is massive, and it’s measured in the trillions of dollars.
GE, for example, expects that by 2030 that it will add $10 to $15 trillion to global GDP, and that it could raise average income significantly throughout the world.
Like previous industrial revolutions, the IIoT will allow for greater automation of previously human-intensive work, creating greater productivity per man-hour invested.
Some potential applications:
Smart Farming: Making use of the vast amounts of information from crop yields, soil-mapping, fertilizer applications, weather data, machinery, and animal health, to improve yields and cut costs in the modern farming environment.
Smart Manufacturing: Using the industrial internet to create a fundamental shift in how products are invented, manufactured, shipped and sold. Intelligent networks will power the value chain – connecting people, processes and data and generating new best practices.
Smart Cities: Cities could stand to benefit significantly from connecting people, processes, data, and things together. City assets such as libraries, transportation systems, power plants, water supply networks, waste management systems, law enforcement, hospitals and other community services could feed off each other. Local governments will understand what is happening on micro and macro levels, and how the city is evolving.
Smart Energy: Power generation can be improved by combining sensors, big data, and connectivity. Imagine wind farms that make slight mechanical adjustments to capitalize on the small changes in wind velocity or direction, to be more efficient – this is only scratching the surface of what is possible.
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.
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
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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