WEBVTT 00:00:00.208 --> 00:00:03.294 Seherish, thank you so much for joining us at Dreamforce. 00:00:03.586 --> 00:00:05.505 What has stood out to you most so far? 00:00:06.131 --> 00:00:10.051 I think the things that have stood out most so far to me is 00:00:10.051 --> 00:00:13.138 AI innovation, digital transformation, and the 00:00:13.138 --> 00:00:17.142 importance of data integration across multiple systems that, 00:00:17.142 --> 00:00:20.603 basically, will enable businesses to be able to take 00:00:20.603 --> 00:00:24.524 that harmonized data and then feed it in terms of real-time 00:00:24.524 --> 00:00:27.819 decision-making processes that enable Agentforce. 00:00:28.194 --> 00:00:31.489 When it comes to integrating AI, what are the challenges and what 00:00:31.489 --> 00:00:33.742 are the opportunities you see in the future? 00:00:34.117 --> 00:00:38.288 I think from a challenges perspective, the key thing of 00:00:38.288 --> 00:00:42.667 importance is going to be data integrity, security, right? 00:00:42.667 --> 00:00:46.212 In terms of how do we make sure that there is trust in data, 00:00:46.212 --> 00:00:50.341 it's validated, it's secure, anonymized for businesses. 00:00:50.341 --> 00:00:55.305 And then the second key thing is going to be, is the bias that 00:00:55.305 --> 00:00:59.601 can come from not having intelligent-enough emotional, 00:00:59.601 --> 00:01:04.397 ethical understanding in the AI models in terms of how do we 00:01:04.397 --> 00:01:08.151 drive certain decision making, especially when it comes to 00:01:08.151 --> 00:01:12.155 sensitive sectors, such as finance or health care or 00:01:12.155 --> 00:01:13.656 anything like that. 00:01:13.656 --> 00:01:17.452 How do you make sure that anything that's getting produced 00:01:17.452 --> 00:01:18.995 by AI is ethical, right? 00:01:18.995 --> 00:01:23.291 And then from businesses, it will be really important to also 00:01:23.291 --> 00:01:27.754 make sure that the humans that AI is going to be supporting, do 00:01:27.754 --> 00:01:30.840 they actually trust what is coming out of it 00:01:30.924 --> 00:01:33.259 as well. I think that's going to be of importance. 00:01:33.426 --> 00:01:37.097 And how can leaders really drive business outcomes with AI? 00:01:37.806 --> 00:01:39.849 I think from a business outcomes perspective and the 00:01:39.849 --> 00:01:43.853 opportunities that are there for us is really focusing on 00:01:43.853 --> 00:01:44.896 how do we 00:01:44.896 --> 00:01:48.858 make sure that you can create automation that enhances 00:01:48.858 --> 00:01:50.360 decision making, right? 00:01:50.360 --> 00:01:53.613 And then in addition, looking at how do we create processes that 00:01:53.613 --> 00:01:55.657 And then in addition, looking at how do we create processes that 00:01:55.657 --> 00:02:00.286 are helping users create personalized experiences. 00:02:00.286 --> 00:02:03.289 So it gives everyone a competitive advantage in terms 00:02:03.289 --> 00:02:04.999 of their go-to-market strategy. 00:02:05.500 --> 00:02:06.501 Thank you so much. 00:02:06.626 --> 00:02:07.418 I appreciate it.