00:00Types of tasks like summarizing and generating content.
00:05There are also generative AI tools for image generation, video and audio generation, for example, and also for computer vision.
00:17Generative AI models are data-driven, so providing them with reference data or text is essential before they can be used.
00:25Providing them with highly relevant data provides the best output.
00:30In addition, offering guidance on the expected output will further improve the generated content.
00:36How is AI being used in the workplace?
00:39For example, if you're a knowledge worker, wherein your work is about processing emails, writing emails.
00:46So sometimes you'll write an email and then you think, I want to make this sound professional.
00:51Or you're writing an email and then you think, I want to make this sound nicer.
00:58So things like that, wherein AI is able to help you adjust the tone of your email.
01:04AI is now being used to complement, to supplement everyone, a lot of people, in their everyday work.
01:13What do you think, like if I take a photo of my outfit and I ask Gemini, hey, what can I add to my outfit to give it more spice?
01:20Is it giving? Is it the vibes? Will Gemini be able to answer that?
01:23Definitely. So for example, you can take a photo, right?
01:26You tell Gemini, you're going to an event tonight.
01:28Describe your event. So let's say, is it a formal event? Is it an event with your friends, right?
01:32So that at least Gemini knows the context of the look that you're trying to go for.
01:36And then when you put in that image, and then Gemini will suggest, maybe add a scarf, add a belt, change the color.
01:42So things like that, right? Now you have basically a stylist in your pocket.
01:48Oh my gosh.
01:49According to studies, there are four main points where generative AI tools can help.
01:55Number one is the customer journey or the chat journey.
01:59So many companies are already using generative AI solutions for customer support or chatbots like virtual tutors.
02:10The second is content summarization.
02:13So you can take a very big piece of content or a complex data set and summarize this into headlines.
02:21Third is content generation.
02:23So whether it's asking you to write a speech for a toast or for generating a new image or generating a song even.
02:33And the last is coding.
02:35So you can use generative AI tools for generating code that you can put into a programming language or to do data manipulation.
02:43And so for the newsroom, a rule of thumb is that you can't use generative AI as a source of information.
02:50There are efforts right now to try to mitigate that with tools that can detect new fakes.
02:58They're not yet there, so it's harder to detect new fakes.
03:02But there's also a campaign for media organizations to spread knowledge about how easy it is for new fakes to spread.
03:10So that they know what news outlets they could go to for testing information and do not believe everything they see or read or hear online.
03:21So is it true that AI will replace humans in the workforce?
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