AI Revolution: The Future Is Here, Now

Uploaded on 2023-04-04 in TECHNOLOGY-Key Areas-Artificial Intelligence, TECHNOLOGY--Developments, FREE TO VIEW

We are currently experiencing the early days of a new industrial revolution. From the printing press to the Internet, we’re becoming used to big step-changes in technology that have almost unforeseeable consequences long into the future.

AI is the technology behind the fourth industrial revolution that has brought profound changes all around the world.

It is usually defined as the study of intelligent systems that could execute tasks and activities that would require human level intelligence and similar to the past three industrial revolutions, AI is leaving an incredible impact on productivity. The AI revolution is transforming industries and organisations around the world. For business leaders, it's important to understand the potential of AI and how it can be used to drive business growth and success.

AI is the next step in that evolution of technology, but its potential for both good and bad is far greater than anything that’s come before. The AI revolution has fundamentally changed the ways people collect and process data as well as transformed business operations across different industries.

In general, AI systems are supported by three major aspects:

Domain knowledge
Data generation
Machine learning

This means staying up to date on the latest developments in the field and learning about the potential applications of AI in your industry. It also means being proactive in incorporating AI into your business, whether through the adoption of new technologies or the development of internal AI capabilities.

Not least, it is important to consider the ethical implications of AI and to ensure that your use of the technology is responsible and aligned with your company's values. Artificial intelligence has the awesome power to change the way we live our lives, in both good and dangerous ways. Experts have little confidence that those in power are prepared for what's coming.

In 2019, a non-profit research group called OpenAI created a software program that could generate paragraphs of coherent text and perform rudimentary reading comprehension and analysis without specific instruction. OpenAI initially decided not to make its creation, called GPT-2, fully available to the public out of fear that people with malicious intent could use it to generate massive amounts disinformation and propaganda. In a press release announcing its decision, the group called the program "too dangerous".

Just three years later, AI capabilities have increased exponentially and, in contrast to that last limited distribution, the next offering, GPT-3, was made readily available.

The Chatbot-GPT interface derived from that programming was the service that launched a thousand news articles and social media posts, as reporters and experts tested its capabilities.

Chatbot-GPT scripted stand-up comedy routines about the Silicon Valley Bank failure. and it opined on Christian theology. It wrote poetry. It explained quantum theory physics to a child in the form of rap music.

Other AI models, like Dall-E, generated visuals so compelling they have sparked controversy over their inclusion on art websites.

AI- Driven Search Engines

Why go to the trouble of googling a topic, then clicking on a website to find the answer you’re looking for when you can just pose your question directly to the AI and get a comprehensive answer? This is already throwing up everyday problem:

Education: School pupils have already used ChatGPT to write their homework papers for them. How would a teacher or professor prove that it hadn’t written by the student?

Consulting: Why hire an expensive business strategy consultant when you can type in “develop a business strategy to grow retail sales for my product in India” to an AI and, in less than 30 seconds, get a comprehensive plan to “focus on increasing brand awareness, building customer loyalty, expanding the company's distribution network, and developing a range of products that are tailored to the specific needs of the Indian market”.

Adaptability and Prediction: Machine learning facilitates AI to discover the pattern of the data that were previously programmed, which enables AI’s capability of making its own change as circumstances change. The attribute of adaptability profoundly enhances AI’s prediction and decision making. For example, Gmail’s Smart Compose feature which offers the use of personalised suggestions as users type a sentence. This illustrates how AI adapts to one’s personal writing pattern and delivers appropriate suggestions.

Healthcare: AI has the potential to treat neurological disorders like Alzheimer's, Parkinson's, most birth defects, and spinal cord injuries as well as blindness and deafness. It is predicted that by 2050 robotic prosthetics may be stronger and more advanced than our own human limbs and they will be controlled by thought.

Conclusion

Business process automation could reduce stress on internal productivity and decrease reliance on human support while at the same time increase operational cost efficiency. Machine learning enables the company to delve into a more intelligent approach and continually drives the evolution business model.

Companies should prepare themselves for the AI revolution, so they can use the technology to achieve optimal levels operational efficiency.

The potential of AI is tremendous and it is developing faster than most people or the organisations where they work are really prepared for.

Forbes: BBC: Information Week: Maddyness: WIZ:

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