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Generative Artificial Intelligence undoubtedly represents one of the most advanced and fascinating frontiers of modern technology. Known for its ability to create original and stimulating content in seconds (for example, the results that can be obtained with SEO Article or AI Art), generative AI has opened new horizons in digital creativity and has aroused growing interest in various sectors.
Its potential is obviously enormous, but not everyone is necessarily able to “unlock” it in the appropriate way. Here is some useful advice about maximising its power, and in which fields it can be applied.
AI for Software Development
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Generative AI algorithms can assist developers in creating code snippets and automating repetitive tasks. Generative AI also automates the testing and debugging phases of the software, simulating different situations and identifying any problems or vulnerabilities. As Turing.com reports, a recent study revealed that software developers who take advantage of GitHub Copilot provided by Microsoft are able to complete tasks 56% faster than their colleagues who do not use the same tool.
Generative AI for Marketing Campaigns
The world of marketing is experiencing a real revolution in recent months thanks to generative AI. By using tools such as ChatGPT, companies can create high-quality personalised content, and at scale. These models create engaging advertising copy, generate product descriptions and produce dynamic videos from a prompt or database.
Generative AI algorithms analyse massive amounts of data, including customer preferences, demographics and browsing habits, to generate personalised marketing materials such as social media posts, email campaigns and online ads of various types.
The reception of this tool by industry operators has been very positive: according to a recent report published on Hubspot, around 85% of marketers find generative AI effective in personalising their marketing content. Generative AI assists companies in automating the creative process, saving them significant time and resources and allowing employees to focus on other strategic initiatives. Additionally, 63% of marketers report that AI-assisted content performed better than content created without the help of AI.
AI in Research and Development
Unlocking the potential of generative AI also means opening important new possibilities and accelerating innovation within companies.
According to a report published by management consultancy McKinsey, generative Artificial Intelligence has the potential to optimise complex systems and processes by simulating different situations and identifying the most valid outcomes. In the world of medicine, for example, generative AI analyses vast amounts of data on existing drugs and diseases to generate potential new drug compounds for delivery to patients. This significantly speeds up the drug discovery process, which traditionally takes years and involves a high rate of trial and error.
To Conclude
Whatever the business area within which you want to apply generative AI, it will always be essential to have large, high-quality datasets available in the first place: in the absence of these, it’s necessary to develop a concrete plan to collect them.
The surprises that generative AI can offer us certainly do not end here. In fact, there are many other areas of application that could be further developed in the future, guaranteeing even more impressive results, in realms such as automatic translation, for example. Speaking of which, you can get a free trial of AI Translation, a tool that expertly blends language technology with Generative AI to deliver flawless translations to Contents.com customers, helping them to expand their audiences globally.