- Improving human work
AI has come at the right time when human work needs a boost. With remarkable assistive tools, artificial intelligence has increased the productivity of humans while equally impacting various professions. For artists, for example, AI image generation tools like OpenAI’s DALL-E, among others, while programmers have tools like GitHub Copilot, which helps software developers to refine their code, write and test them in most computer languages. As AI continues advancing, human work will be boosted significantly.
Machine learning which is part of AI, is a valuable tool which is benefiting businesses in different industries. This area of AI has become widely popular recently. In the new era of digitization, companies are looking for ways to improve operational efficiency, which is made possible by automation. There is a misconception that machine learning and automation will displace humans from most of their jobs. Although AI will perform many tasks currently done by humans, it frees employees to focus on other tasks. Therefore, as companies seek ways to tackle routine tasks, automation made possible by AI will continue to be adopted.
- Automated code generation
The progress that has been made in modern machine learning is fast. However, GitHub’s release of AI pair programmer has shocked many, showing how AI’s deep learning models can be used to autocomplete coding. This will benefit highly skilled software developers. The Copilot suggests how a developer can finish a specific line of code and generates multiple lines from plaintext descriptions of what the code does. The Copilot proves that AI has more capabilities yet to be explored. As such, more AI applications in this area will emerge in the coming days.
- More growth of AI in 5G
5G is one of the unique technologies changing how we communicate. As the world transitions from 4G to 5G, AI is proving to be an important component that will increase application performance and security. Furthermore, automation tolling and telemetry, all set to benefit from 5G, will take advantage of AI. Some emerging trends in AI include edge AI, which will become one of the IT jobs in the future.
- Digital twins in clinical trials
Artificial intelligence is already transforming the use of pharmaceuticals in treating human ailments. When we think about the link between AI and pharma, the main area that comes to mind is AI-driven drug discovery, which has shown immense potential. However, there is a new area where machine learning and AI can benefit humans by enabling faster therapeutics and efficiency in treatment. This is the use of digital twins to enhance clinical trials.
Clinical trials today are known to be expensive and inefficient, and the average new drug requires about a decade and over $2 billion to bring to the market. Digital twin offers a solution to this challenge through a simple machine learning model, which simulates placebo outcomes for patients in a medical trial. This means that medical trials require only a few participants because the testing process can be simulated. This trend is gaining momentum and is expected to dominate the medical field in the coming years as pharmaceutical companies seek cheaper alternatives to testing drugs.