Salesforce at UBS Women in Tech: Embracing AI and Integration

On Thursday, 05 June 2025, Salesforce Inc. (NYSE:CRM) took center stage at the UBS Women in Tech Conference 2025, where Alice, the Executive Vice President and General Manager of Platform Integration and Automation, shared insights into the company’s strategic direction. The conversation highlighted Salesforce’s emphasis on AI integration and platform unification, showcasing both promising developments and challenges in the rapidly evolving tech landscape.

Key Takeaways

• Salesforce is leveraging acquisitions like MuleSoft, Tableau, and Slack to boost AI capabilities.
• AgentForce is gaining traction, with 800 customers already live, demonstrating rapid adoption.
• Informatica’s acquisition enhances data governance and integration, crucial for AI advancement.
• Salesforce’s unified platform accelerates AI deployment and value realization for customers.
• Commitment to supporting women in tech through initiatives like the "Women in Salesforce" group.

AgentForce and AI Capabilities

Salesforce’s platform strategy prominently features AgentForce, a tool designed to integrate AI capabilities across sales, service, marketing, and commerce. The Adam framework, which combines apps, data, agents, and metadata, sets Salesforce apart from competitors. Alice emphasized the importance of solving data challenges, including structured and unstructured data, to effectively leverage AI. The company ensures security and compliance through a trust layer that applies existing permissions and guardrails.

• AgentForce adoption is robust, with 800 customers already utilizing the platform.
• 1-800 ACCOUNTANT reported 70% of cases handled autonomously by AgentForce during the last tax season.
• Smartsheet integrated AgentForce, enhancing user support within its application.

Informatica Acquisition and Synergies

The acquisition of Informatica plays a pivotal role in Salesforce’s data strategy, providing essential capabilities like data governance, quality, and lineage. Informatica’s integration with MuleSoft and Tableau enriches Salesforce’s Data Cloud, enabling a deeper understanding of data and enhancing the company’s AI-driven solutions.

Product Strategy and Portfolio Integration

Salesforce’s product strategy leverages its portfolio of acquisitions to create a cohesive ecosystem:

• MuleSoft connects systems with governance and control, crucial for enterprise integration.
• Tableau offers data analysis and insights, with features like Tableau Pulse providing AI-driven updates.
• Slack acts as a conversational interface, facilitating human-agent interaction.

Women in Tech and Mentoring

Salesforce remains committed to supporting women in technology. Initiatives such as the "Women in Salesforce" group, boasting 20,000 members, and upskilling events in India, underscore this commitment. Alice encouraged hands-on experience with AI technologies, emphasizing their accessibility and potential.

For a complete understanding of Salesforce’s strategic direction, please refer to the full transcript below.

Full transcript - UBS Women in Tech Conference 2025:

Unidentified speaker, Host: So we have Salesforce, and we have Alice here who’s the EVP and general manager of platform integration and automation. So, Alice, thanks so much for being here.

Alice, EVP and General Manager of Platform Integration and Automation, Salesforce: Thanks for having me.

Unidentified speaker, Host: Awesome. Alice, maybe kick it off. Maybe you can just start by giving a brief background about yourself and then

Alice, EVP and General Manager of Platform Integration and Automation, Salesforce: your role at Salesforce too. Yeah. So I’m the GM for the platform integration automation at Salesforce. And before that, I was at Microsoft for a long time, worked with a ton of different teams there. Was at code.org working on computer science education.

And I’m really passionate about developers and creators and enabling people to build. And so working on a platform for me, I love it, and I love working on the Salesforce platform. I think right now, we’re at this moment in time where AI is dramatically changing both what we can build on the platforms and how we build. And so it’s a really fun time to be at Salesforce and working on

Unidentified speaker, Host: the Salesforce platform. Perfect. Awesome. Well, I’m sure not everyone in the audience is familiar, with what’s exactly included in platform, so maybe you could just take some time and break that down for us.

Alice, EVP and General Manager of Platform Integration and Automation, Salesforce: Yeah. So it’s confusing. I’ll give it to you. So, basically, there are multiple pieces of it. Part of it is the shared application platform that goes inside all of our clouds at Salesforce.

So, you know, things like authentication or the mobile platform that’s part of sales or service or industry clouds, marketing. There’s another piece of it, are the horizontal businesses that we run independent of what cloud you buy. So my team supports privacy center, security center, shield, all of these horizontal products that apply to every single one of our clouds. But one of the things that I’m excited about is my team also supports the developer platform. And so that’s everything from, you know, getting Salesforce and customizing it for your business to our SIs and being able to support all of the different customizations that they do on the platform, but also companies build their own full applications on the platform.

So all of the application development that runs you know, people running in their finance teams, in their back office, in operations, all of those apps, there’s 9,500,000 apps built on the Salesforce platform. All of those are supported by my team in the developer platform. We also have a huge ISV network on AppExchange, and so all of those companies are also built on that core Salesforce platform. My team also runs integration and automation. So how many of you know MuleSoft?

Yes. Lots of hands here. So being able to connect all of the different applications in your enterprise, which I think is even more relevant right now in this AI era, because now we’re using that same capability to talk about, How do we connect agents across my enterprise? How do we allow agents to talk to each other across all the systems in our enterprise? So, you know, the integration space is now the agentic integration space.

Right.

Unidentified speaker, Host: Yeah. So let’s take that a step further and let’s talk about how that relates to AgentForce. So, you know, highly competitive space, right, that AgentForce is in right now. So what differentiates AgentForce? Maybe you can talk a little bit more about the deeply unified platform, right, and how that, you know, gives you guys a competitive edge and also how you’re leading with trust in your efforts there as well too.

Okay. That’s a lot. I’m gonna break

Alice, EVP and General Manager of Platform Integration and Automation, Salesforce: these questions all in one. That was, like, four questions at a time. So I’m gonna break it down. I you know, I think we talked a lot about it on our recent earnings call. Mhmm.

We talked about this Adam framework of, you know, the thing that differentiates us is that you bring together the apps, the data, the agents, and the metadata platform. But, you know, that’s pretty abstract, so, I’m gonna try to make that a little bit more real. I think, you know, we all use LLMs and AI all the time. I I actually used it to plan a dinner party this Oh, no way. I did.

I did. It told me all the ingredients I needed to buy and pulled together a bunch of recipes for me. Was pretty great. All of these consumer AI products are basically feeding back to us a bunch of public data, and they’re trained on basically the same set of public data. They’re all trained on the Internet.

And that works great if the question that you wanna ask is a public data question. This is all the consumer AI that’s amazing. Right? So if I wanna know how to feed eight vegetarians something good for dinner, that’s public information. I can just go grab that.

I think the challenge is when you go to look at how do I roll this out in an enterprise to solve enterprise scenarios, It’s all about my data. Right? So, you know, Finnair is one of our customers. When they’re looking at the airline data, yes, what flights are up are on the public Internet, but not what flight I’m on, not my information. There’s a lot of PII there.

There’s a lot of internal data that these companies are working with. And so when you take the LLM and you say, how do I apply this? How do I make it agentic within my enterprise? There are multiple problems you need to solve. First, you need to solve the data problem.

You need to understand your enterprise data, and that’s the structured data. It’s the unstructured data. It’s the metadata, which is the data about the data that understands what that data is. But even if you solve all of that, you get all the data together, you expose it all to the LLM, you do all of the rag stuff that you need to do, all you’ve got is a chatbot that can answer questions. It’s a Q and A bot.

If you really want to get a jet deck, the next thing you need to do is you need to enable that agent to be able to take an action in your organization. So you need to be connected into the actions that you could take. So we have built in the capabilities to take action across sales, across service, across marketing, across commerce, across all these industries. They’re built in as part of the Salesforce platform, that deeply unified platform. But we also have this rich automation framework, which allows companies to build their own specific automations that connect in.

And with MuleSoft, we connect out to the rest of your enterprise, to Workday, to SAP, to all of these other pieces of your enterprise, so that your agent now has the right enterprise data and can take the right actions across your enterprise. And that’s all connected into the LLM, and it’s all connected into the trust layer that you need in order to run this in an enterprise, because enterprises are also dealing with compliance. They’re dealing with auditing. They’re dealing with the old school stuff that we’ve been dealing with for years. Things like, you know, do I have the right security permissions?

But not just you, not just Taylor. Does does my agent have the right security permissions? So we need to take all of these rich capabilities that have allowed Salesforce to run-in regulated industries and banks and all of these places, but now apply them in the agentic era, and we need to add new capabilities like guardrails and red teaming around the agentic capabilities. So our differentiator is that we’ve built all of this together in one platform, one open platform that’s connected to the rest of your enterprise, which accelerates the time to value for our customers, and it enables them to take these amazing capabilities, these amazing LLM capabilities, and put them to use to solve real problems in their enterprise and to do it fast. We have 800 customers that are already live with Agent Force.

You know, for anybody here who’s been in enterprise software for a while, that’s amazingly fast. Right? You know, enterprise software is not something that usually goes out that quickly. It’s only been live for two quarters, And I think it’s that core capability, that deeply unified platform that enables our customers to find value quickly.

Unidentified speaker, Host: Yeah. Awesome. And now that you’ve had Agent Forest, you know, live for six months out, maybe you can talk about some of the use cases that you’ve seen that are gaining the most traction early on.

Alice, EVP and General Manager of Platform Integration and Automation, Salesforce: Boy, there’s so many. So what are some interesting use cases? I think one of the things that we’ve done is we’ve made it easy to get started with some of our core use cases, like sales or service. So, So, you know, as a starting point, think of it as a maturity model for companies that are embracing these AI technologies, where the easiest place to start is to say, Okay, I’m using some of those inbox functionality, right? I’m going to use it to answer support questions or answer those questions.

And even with just that, you can get a lot of value. You can get a lot of value and you can get it quickly. I’ll give you an example, one-eight hundred ACCOUNTANT, right? I can’t even imagine trying to run a tax company during tax season. Right?

Just you have to onboard so many people. Get this flood of all of your requests come in exactly the same time. You’re going get this flood of requests coming in, and they’re not easy answers. You know, so you have to train up a staff of people who can answer whether or not I should get a deduction for my car because of this or that. That’s challenging.

It’s a challenging space to be So what they did was they used agent force to be able to handle that influx of caseloads. 70% of their cases in this last tax season were handled autonomously by agent force, which leaves their means you don’t have to onboard and train up as many people, but it also means that their staff can spend more time on the high value conversations. So I think that’s a place where a lot of companies start. They start with that that base use case of, I’m just trying to get my existing system to work better, work faster. But then once they do that, what you find is you open up a whole bunch more scenarios, right?

You start out with something like support, but one of the cool things about agents is we talked about training the staff, right? They’re not siloed. They can understand things outside of the space that they’re in. So instead of having a support staff over here and a sales staff over here, where, you know, when this case goes from upsell or I want to do cross sell, maybe I move it over to another person who knows how to do that, I can instead give the capabilities of doing that cross sell and upsell to the same agent that’s supporting me in support. So now I can get more value from that agent and start bringing in new scenarios to the agent.

So that’s where I see a lot of companies going next, is adding additional capabilities into their existing agent. And those capabilities could be more complicated support things like, I want to do order management, but they could also be new capabilities that are outside of where they originally went. The other thing that we see companies doing is extending out to different use cases and different personas. So Remarkable. You used a Remarkable tablet?

No, I don’t think so. Oh, they’re fantastic. Okay. For those of you who don’t have one yet, these tablets are great. The best thing about them is they’re not fully connected to the Internet.

I mean, they’re connected to the Internet, but they don’t have all of those distracting things, so you can actually they force you to focus and think, which is, I think, beautiful. I’m a huge fan. Anyway, so Remarkable tablets rolled out. And this is, again, that speed of ROI. They were able to roll out their first agent externally facing in just three weeks and already start handling customer cases, but then they said, Hey, this is really working for external customers.

Can we use this for our employees? So then they built an employee agent, which they called Mark, which is cute, remarkable. It’s Mark, the employee agent. And so their employee agent is on Slack and answers internal questions for their team on Slack. And so I see people doing that where they start in one scenario, they’re like, Oh, we can use it over here.

We can use it over here. We do it internally. We’re just in we’ve been rolling it out across the board, across all of our own use cases because everybody at Salesforce is like, Hey, I want to use it for this, I want to use it for that. Right now, we’re doing our promotion process. I was just yesterday submitting my promotions for my team, and we used to submit them through this form online, now we do it through an agent.

So I went to my little agent in Slack, and I talked about the promotion and asked me questions, and then I was like, Oh, but when do I need to know this by? So I had a question that was sort of outside of it. Was able to ask, and the agent gave me an answer and helped me submit my promotion request. That’s awesome. Yeah.

That’s great. Well, let’s talk about, like,

Unidentified speaker, Host: where those use cases are in terms of getting to, like, the production Yeah. Phase. So I know the last time that we did, you know, a bunch of agent force checks, it still sounded like there was a lot of customers that were still in that discovery mode. Right? So where, when you, you know, speak with customers, where are they in terms of getting to that, like, production at scale?

When can we start to see, you know, most agent force customers on the platform really, operating at, a bigger scale than maybe, like, the discovery and some of what we’re seeing today?

Alice, EVP and General Manager of Platform Integration and Automation, Salesforce: I mean, I think you’re going to see both. It’s enterprise software. There’s a lot of companies who, for a lot of good reasons, want to do a proof of concept. They’re going to want to test it. They’re going to want to try it out in scoped area and and roll it out in a deliberate fashion.

And so we’re going to see and then we’re going to see companies that move a lot faster, like Remarkable that I just spoke to. What we’re seeing is, you know, I think, frankly, attraction that we’ve already seen with this. You know, 800 customers in production is incredible. A lot of these customers are at massive scale already, which is it’s just incredible. Think Smartsheet’s a good example of this.

So Smartsheet is a how many of you use Smartsheet? I’ve got a lot of people here, but not everybody. So Smartsheet is a fantastic tool for managing projects, estimating budgets. They have about 13,000,000 users, and they had a help agent outside of, you know, just like a typical, okay, you can go get help. But when they what they saw when they started to pull out agent force was not only could it answer questions and help deflect cases in a typical support fashion, but when we talk about scale, they could expand the scale of what they were doing.

They don’t need people to go to the help website to go get help. Because they have autonomous help now, they could offer people a lot more help. And so they actually took AgentForce and embedded it inside their product. So inside of Smartsheet now, I can say, hey, I need some help on, you know, what does this formula mean? And AgentForce is right there inside of the product, available for all of their users.

And it also means that, again, this is that crossing borders, right? Like, in the past, I would have said the only thing I could have done inside the product probably was maybe get help about what the formula did. Now you can get better help about that. But also, I couldn’t have gotten sort of customer support help. Right?

But I can do that too. So I can ask you questions about my user permissions and provisioning and those pieces. So you’re bringing together these different silos of information, and you’re putting them together at scale inside of the Smartsheet product that’s already shipping to all of their customers. Yeah.

Unidentified speaker, Host: That’s really actually, I used to cover Smartsheet, I didn’t know that they were using, like, Salesforce for some of that behind the scenes. So that’s interesting. In terms of, like, big, big news, obviously, the Informatica acquisition, right, is the biggest news this quarter. So maybe you could just take a moment to describe how that fits in, to Salesforce’s AI vision and, you know, what capabilities does Informatica bring to Salesforce and how

Alice, EVP and General Manager of Platform Integration and Automation, Salesforce: will this enhance the platform overall? Yeah. We’re really excited about the Informatica, about Informatica, and bringing that into this deeply unified platform. I think it goes back to what I was talking about at the beginning, data. Mhmm.

Right? This is the foundation of this agentic future, is understanding your data. Everything you do with AI depends on the data that you’re bringing into it, and Informatica is world leading at understanding and bringing together the data within the enterprise. They bring in rich capabilities in data governance, in data quality, in MDM, in metadata across my organization. I mean, it’s not just what is the data, but they even have rich data lineage, right, so I can understand the history of this data and where did it come from, and bringing that together as a core foundational piece, and connecting it into exposing that rich understanding of the data, into agent force, I think will supercharge all of our capabilities.

It also complements our MuleSoft portfolio, bringing together the data integration and then being able to expose that rich understanding and governance of the data as part of the application integration that we do in MuleSoft. And, of course, Tableau is, you know, even more exciting when you can do analytics on that rich set of data that Informatica, makes available. So we’re looking forward to

Unidentified speaker, Host: that closing. Perfect. Awesome. And maybe, you can talk now about, like, some of the synergies, that you’re aiming to drive through the acquisition and, you know, some also too that you’ve established, like, with the partnership already. Maybe you could just elaborate a little bit there and how your role plays into that as well too.

Alice, EVP and General Manager of Platform Integration and Automation, Salesforce: Yeah. So, you know, my role personally, I’m I’m most involved with it from the perspective of MuleSoft working together with Informatica, we’re really we’re really excited about that and how that’s gonna work together. But I’ll talk about overall Salesforce because I think there’s a lot of opportunity with Informatica to accelerate a number of different areas across Salesforce. So, we talked about data governance and data understanding. When you take that capability and this this understanding of metadata that goes beyond the data that we have in Salesforce today.

So Data Cloud today is a data lakehouse on Salesforce that enables you to connect to all of your data across your enterprise, and expose it to take action on it, in Salesforce and all of our applications and in AgentForest. That capability, and what it does also is it allows you to unify and harmonize that data around the customer persona. So, you know, really understanding the three sixty degree view of who is my customer and then being able to take action on that, across the Salesforce properties. Informatica brings a richer understanding of all of the data across my enterprise and other concepts with MDM across my enterprise beyond the customer. So I can understand my suppliers, my business at different levels across the entire enterprise, and I have deeper control and governance across that metadata in my enterprise.

And when I talk about the data, I’m simplifying it. When I say, Hey, we want to bring the data together for Agent Force, that’s just one piece of it. The data is part of it. You also really need another for enterprises, you need another level of understanding of that data. The metadata around it.

What is that data? What does it mean? How is it being used? What objects within the system is that data a part of? And what influences what?

And where does it come from? And so what Informatica does is it brings that rich understanding, which we’re then going to use to enhance Data Cloud and also to enhance Informatica, and I think together it’s going to be even more powerful. And it also complements our MuleSoft portfolio, where we provide the you know, we enable today all of these applications to connect to each other. And now, with AI, we’re allowing agents to connect to each other with MuleSoft. So we support A2A and MCP so that, you know, you can now have an agentic enterprise connected through MuleSoft, but all of that, again, is based on the data.

And so deeper understanding of what that data is, being able to connect to that data, makes all of those integrations more powerful and allows you to do those integrations in an even better sort of more governed way where we can bring in the data governance into the MuleSoft portfolio. So we’re looking forward to that. And and Tableau is now gonna be able to take this richer insight into my data and pull that forward when I do analytics on my on my data. Yeah. Perfect.

Yeah.

Unidentified speaker, Host: So Salesforce’s portfolio has expanded materially over the last, several years with Tableau, MuleSoft, more recently, OwnBackup, not to mention the additions to Data Cloud and, AgentForce as well too. So can you talk a little bit about the product strategy and how all these pieces fit together? Oh, that’s another big question. Okay.

Alice, EVP and General Manager of Platform Integration and Automation, Salesforce: There were at least five wait. So which ones were we talking about? So I think some of them were before this recent agentic revolution, and some of those have been after. More recently, you see our investments in the importance of data in the enterprise in Informatica and in OWN, which offers data resilience and data helps companies manage their data, which I think, again, is really critical and important in this agentic space. But I’m also really glad that before, you know, LLMs hit the scene, we had made these investments and some really, you know, strategic investments in MuleSoft, in Tableau, and in, Slack.

I think we you know, those are three three recent investments. So I guess just breaking it down, so about Mule we’ll just talk about it more on Mule, Tableau, and Slack. So how do they fit into this overall strategy? So with MuleSoft, I talked about this, you know, what does it take to build AI in the enterprise? Right?

And there’s the the data, and then there’s this action layer. Right? How do I take action across my enterprise? I think for years, MuleSoft was solving a problem that’s true to every enterprise, where I’ve got 900 different systems, and I need to figure out how they’re going to talk to each other, and I want to create reusability. I want to have a governed system so I have control and management and audibility of what’s happening across my system.

And MuleSoft provided API management, it provided the governance, and it created that connectivity and reusability across my enterprise. Now we’re moving to a new world where all of those same problems exist, and they’re supercharged with AI, because I don’t just have deterministic systems connecting to each other, I now have agentic systems connecting to each other. And so MuleSoft has been moving, I think, is becoming a more relevant play because it’s enabling us to connect those agentic systems with all of those same capabilities that we needed before around usability, understanding, governance. You just need those even more when you have a bunch of AI. So we’ve we’ve already launched, support for MCP servers as part of MuleSoft.

So all of those all those APIs that you built in MuleSoft are now you can just expose them as MCP servers, you’re already, agentically ready for this next generation with MuleSoft. And then now you’ve got all of these capabilities that you’ve built, these tools. In the same way I would have said, hey, my APIs are the language of my organization. These are my tools or my capabilities of my organization. Now I can expose all of those and say, those are agentic capabilities of my organization.

Right? And then we’ve updated our Flex Gateway to be able to support governance as I’m calling all of these AIs. Right? Because I don’t just want anybody to be able to call an agentic capability, either whether it’s A2A, the agent to agent protocol, or MCP. I don’t want you just to be able to call it unlimited.

Right? They’re expensive. It can run up a bunch of bills across something. Right? And I’m not saying, you know, any one in particular.

This is across every single agent I’m running from every different, any different vendor. Right? You want to be able to understand the permissions, the controls, the governance, the audibility. All of that capability is built into what MuleSoft is now providing in this next era. And so, you know, we invested in MuleSoft back when it was about connecting all of these applications in my system.

Now I think it’s about enabling our agents and all of the agents to connect across your enterprise in a way that’s governed and controlled. And I think that that’s going to be even more relevant as we move forward. Tableau was the next one you had on your list. So I think Tableau is interesting for multiple reasons, both because obviously everybody’s bringing this data together, you want to analyze it, you want to understand it, but I also think data is more powerful with the analysis of data becomes more powerful because the agents can do it, too. Right?

And so it can take a long time to sift through data, to understand it, to get the insights from it. The agentic capabilities can supercharge some of this ability to understand. We have a feature called Tableau Pulse, and it just it slacks me every day with just the one thing I need to know, and gives me updates on the key pieces using AI to help me understand my business. And I think that kind of capability, we’re going to see more and more of that as we move forward. Another thing that we’ve been able to pull in from Tableau is the semantic model.

I don’t know if you know this. This is so inside of Tableau, one of the things that you do, and this is true this is something that data analysts, business analysts would do, is you define what are the KPIs for your business. Right? So you look at this, and it’s a bunch of data, but I say, at Salesforce, we numbers we care about: our ACV, our AOV, our net new AOV, right? And every company, even simple things like sales, people define them differently, right?

Like, Oh, did you actually mean sales in Europe? Did you want to count this department or not that department? So you need to put together some logic that you’re going to use for all of your internal dashboarding and reports around what are the semantic numbers that matter for your business? What drives your business? So that understanding of what are those semantics, we call the semantic model, that’s embedded in Tableau.

Now we’ve taken that and built it into the deeply unified platform so that that same semantic understanding is now available inside of Data Cloud. It can power all of the work that you’re doing, and it can power the agents as well. So the agents don’t just know the data, they know the semantic meaning of that data, and they’re able to care about those same numbers that you care about when you’re driving your business. And there’s a third. Slack.

Slack. Right? So Slack is, I don’t know, my favorite way to talk to agents. Right? It’s conversational.

It’s the way we talk to each other. I live in Slack all day, and now the agents live in Slack with us. So we can bring agents into the conversation in a natural way so that it’s humans and humans can interact, humans and agents, and agents can join our conversation. You know, we’re we’re building all of our core apps into Slack so that I can now use inside of Slack, we can swarm cases, we can see what’s going on with sales, and we have agent support right there inside Slack. And it’s all customizable and extendable, so customers can bring their own agents into Slack.

I was talking about Remarkable? Mhmm. Mark lives in Slack. Yeah. Mark the agent.

He’s inside of Slack. They’re using so their their employees are just inside of Slack able to talk to Mark. So I think it’s a it’s a fantastic place for you know, to be a the workplace, the agentic workplace of the future.

Unidentified speaker, Host: Perfect. Yeah. That’s awesome. Lots of lots of fun things going on. Maybe we’ll, shift gears a bit.

So this is our annual Women in Tech Conference. So only appropriate to now ask, some some women, questions. So in, just as you as a female leader at Salesforce, I guess, how have your experience shaped the way you lead in such a dynamic environment, and how do you think about mentoring, empowering the next generation of leaders out there?

Alice, EVP and General Manager of Platform Integration and Automation, Salesforce: I mean, anytime we get those I have to start with a big thank you to the women who have helped me in my career. I my strongest support network are women, and they’re women who I worked with at Microsoft. They’re women who I’ve I know. I live in Seattle, not in the Bay Area, but some of them moved down here, so some of my network is now here. They’re women who are down here.

I think, you know, I really appreciate the network of support that we as women have in this space with each other, and, you know, I want to pay that forward. I want to keep growing that network. I’ve really liked being at Salesforce. I think Salesforce has a real commitment to supporting women. We have a, I would call it, women in Salesforce as a group.

It has 20,000 women in it. We do outreach. We’ve been doing outreach around the world. We just passed in India. We were doing upskilling events for women, and we just hit 500,000 upskilling opportunities for women in India.

But we were at our leadership conference a few weeks ago, and I don’t have the actual numbers. We probably publish them. We do publish them on our website, so you can look them up. But there were just so many women in that leadership conference, and people who have helped me as I’ve onboarded, people who have supported me. And, you know, I appreciate the way Salesforce has really supported network of women leaders at the company.

Unidentified speaker, Host: Yeah, that’s really great. Maybe just dive, like, a little bit deeper into that. So let’s talk about mentoring. Right? Yeah.

So what’s a, like, a question you often hear from mentees, particularly in the era of rapid technology, technological change and everything that’s going on?

Alice, EVP and General Manager of Platform Integration and Automation, Salesforce: advice? Okay. So actually, I think roughly a month ago, was doing a I also met to a lot of people, but I speaking at a women’s conference for a bunch of college students who wanted to get into AI, and, you know, I got this question from them as well. And my advice is to get hands on. I encourage people to actually try out these technologies.

I think they’re more approachable than we think they are, especially because we have AI to help us use them. So if you have questions, the AI will help you figure out how to get through those questions and how to use it. I think for a long time, you know, some of these technology pieces felt, you know, too intractable to even get started, but these are completely everybody can use these things. Everybody can do it. You know, you can use it to plan your dinner party.

You can use it to plan your trip. You can use all these consumer things. You can also build your own agents. We actually have been running at all of our conferences. We have a, like, a set up tables where you can come and build your own agent to solve, you know, the challenges that you have in your organization.

Now, this is a prototype agent because it’s not connected to your data, right? You need to go back and connect it to your data and APIs, those pieces that we just talked about. We’ve had over 10,000 agents built at the conference, and then you can play with it, you can use it, can answer the questions about the Internet, the ones I said were easier, the Internet questions. And I, you know, I think the more we can all try it, the faster we can accelerate ourselves to the place where, you know, we become the experts, and we’re we’re all leading this revolution. Perfect.

Unidentified speaker, Host: Awesome. Well, that was a great way to end. So we’ll end it there, and, this also concludes all the panels and keynotes. So thank you to everyone in the audience for joining the third third year of the Women in Tech Conference.

Alice, EVP and General Manager of Platform Integration and Automation, Salesforce: Awesome. Thank you.

Unidentified speaker, Host: So much, Alice. This is great. Oh, and there’s gonna be a reception to follow as well too.

This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.