Generative AI has been taking the world by storm with its capabilities to help users generate original content, saving them ample time and enabling them to be more productive. According to an article posted on LinkedIn by a leading analyst, generative AI has been touted to save almost 300 billion work hours a year. While some people find the use of AI in content generation to be rewarding, it's also received mixed reactions, especially with the art community questioning the originality it produces, as AI uses existing content and machine learning models to generate outputs.
What is generative AI and how does it work?
Generative AI is a type of artificial intelligence used to generate content such as art, music, text, video, code, and other content using machine learning models currently available. Depending on the prompts given by the user, the AI model generates the desired output. Generative AI uses training data to form a foundation while fine-tuning the output based on the user's input. Often, generative AI is used to produce content on-demand within less time, saving resources, cutting costs, and allowing employees to spend their time on other high priority tasks.
Concerns regarding the use of generative AI
Since generative AI uses a training model to deliver output, the primary concern regarding its use is users' compromised privacy and security. The responsibility lies with the developers, as they use data to train and tune the AI model to avoid exposing any sensitive information or intellectual property declared by their own organization and their customers.
Although AI seems to have made lives better, there is concern regarding the amount of false information and deep fakes in circulation. This poses a huge threat as manipulation of information can destroy reputations and impact public opinion at large.
How can you make the best use of generative AI for your business?
Generative AI is a big boon for businesses when used in the right way. On-demand content generation has been one of its biggest benefits, allowing better time management and efficiency for people working across different streams, especially in non-technical roles.
Customer support and marketing
Generative AI can play a huge role in elevating customer experience. Be it sales, marketing, or customer support, teams can deploy chatbots for nurturing leads and customer interaction; generate marketing content for webpages, blogs, and social media; and design marketing campaigns, sales pitches, and images and videos for various purposes.
Software engineering
Developers can use generative AI to analyze existing code samples and make necessary improvements to them, accelerating the process. AI can also be used to analyze existing products, understand future requirements, and help create new products and services.
Science and research
When used efficiently, generative AI can contribute massively to science and research. AI can be used to analyze current models, understand the history of previous scientific research, and find out what can be done to make them better. AI can significantly improve research by gathering and consolidating massive amounts of data, thereby contributing to innovation at large.
Cybersecurity
Since generative AI is built on the foundation of a training-tuning module, it's effective at identifying anomalies. AI can be used to identify threats and unusual behavior, as well as helping to mitigate vulnerabilities and incidents.
How Zoho Cliq uses generative AI
We at Zoho Cliq have incorporated generative AI across different modules. Users can generate a summary of unread messages, as well as getting meeting transcripts and a meeting summary in a click, which helps them save time and provides accurate information.
With the ChatGPT extension for Zoho Cliq, users can also generate images by providing a description, create an outline for a specific blog, or ask questions and get the desired answers. Going forward with our upcoming releases, we'll also be incorporating some more generative AI elements in our modules to make work simple and seamless.
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