Intro · 2:04
Webinar introduction and the future of AI
Why AI?
- Host Tony Majewski, Google Workspace.
- Why use AI and how to start.
- Agenda.
| Question | Focus |
|---|---|
| Why AI? | Value |
| How to start? | Steps |
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Host?
Tony Majewski.
Focus?
Getting started.
0:08 Hey everybody, I'm Tony Majewski, growth strategy and solutions for Google Workspace. Welcome to our webinar. For today's agenda, we will start with our vision for the future of AI and making it real responsibly. Then we'll cover what you can do right now with Gemini for Google Workspace, and we'll follow that with a demo showing some of the top use cases. And we'll close out with how to get started with Gemini for Workspace. We are so excited that you're here with us today.
0:31 Today is all about inspiring you, equipping you, and partnering with you to make the promise of AI real for your organizations and your people. AI is the next big chapter for technological platforms. This is the third chapter in just 25 years. I know it's a lot, but it's incredibly exciting. At Google, we think of AI as the next big chapter. I would not call it a shift, but a continuation, another accelerant at scale. First, there was the internet, then there was mobile, now there's AI.
0:54 Advancements in generative AI will trigger technological and cultural transformations comparable to previous phase shift waves like personal computers, the internet, cloud computing, and mobile devices. As with any of these major technological shifts, generative AI will both reshape industry structures and create new markets and revenue opportunities. Generative AI can create value for companies in a number of ways. Two of the most important ways are, first, focus employees on high-value activities by automating business processes and assisting with time-consuming or sometimes difficult tasks that will make teams and individuals more productive.
1:40 The second is improving business outcomes by increasing employee productivity, and that will boost the company's performance and can result in more revenue as more output is available to be commercialized. When it comes to AI, there are three key
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