Doing DevRel In the era of GenAI 🔗 **Source:** [Doing DevRel In the era of GenAI](https://www.youtube.com/watch?v=7fLtxG60HTc) > [!note]+ Document Notes > tags: [devrel, generative-ai, qualcomm, developer-experience] > author: Qualcomm > source: DevRel Con > reference: https://www.youtube.com/watch?v=7fLtxG60HTc > date created: 2024-12-28 10:30 > > # 🏷️ Title: Doing DevRel In the era of GenAI > <!-- deep-read:sections start --> ## 🧰 Action Inbox - [H1] Research Qualcomm AI Hub for on-device AI development opportunities — 09:45 #devrel - [H2] Implement AI-powered documentation chatbot for developer support — 19:32 #documentation - [H3] Explore AI avatar generation for multilingual developer content — 22:15 #content ## 🧭 Table of Contents - [📝 Summary](#-summary) - [📖 Main Content](#-main-content) - [🗒️ Notes](#️-notes) - [📚 References](#-references) - [🗣️ Paraphrase](#️-paraphrase) - [📰 Newsletter](#-newsletter) - [✅ Action Items](#-action-items) - [🧪 Hypotheses](#-hypotheses) - [📊 Methodology](#-methodology) - [❓ Questions](#-questions) - [🔮 Future Research](#-future-research) - [💡 Implications](#-implications) - [🧠 Learning Styles Assessment](#-learning-styles-assessment) - [📊 Accessibility Assessment](#-accessibility-assessment) - [🌍 DEIB Assessment](#-deib-assessment) - [✅ Logical Validity](#-logical-validity) - [🛡️ DARVO Analysis](#-darvo-analysis) - [🎯 Conclusion](#-conclusion) ### 🔗 References - [Qualcomm AI Hub](https://aihub.qualcomm.com/) - [Developer Portal](https://developer.qualcomm.com/) ## 📝 Summary - Qualcomm is expanding into third-party developer relations to support on-device AI applications - The company is using generative AI across the entire DevRel funnel from connect to advocate phases - Key AI implementations include automated support, documentation chatbots, and multilingual content generation - On-device AI offers advantages in privacy, latency, and sustainability over cloud-only solutions - Qualcomm acquired Tetra and Edge Impulse to build comprehensive AI development ecosystem ## 📖 Main Content Qualcomm, traditionally known as a chipmaker for smartphones, is entering the third-party developer relations space to support the growing on-device AI ecosystem. The company argues that while cloud AI is powerful, on-device processing becomes critical for privacy, low latency, and sustainability as AI becomes ubiquitous in robotics and IoT applications. The speaker presents Qualcomm's new developer-focused initiatives, including AI Hub (launched from acquired startup Tetra) which provides pre-optimized models for Snapdragon platforms. Over 1,500 companies are using the platform since its February 2023 launch. More significantly, the talk demonstrates how Qualcomm is using generative AI to transform their own DevRel operations across the traditional developer funnel: connect, engage, adopt, and advocate phases. Examples include automated support ticket triage, AI-powered documentation chatbots serving 30,000 external customers, and AI-generated multilingual video content. ## 🗒️ Notes #### ⏱️ [00:00](https://www.youtube.com/watch?v=7fLtxG60HTc?t=0) — [H1] Introduction and Qualcomm's DevRel Journey - Key idea: Qualcomm is building new third-party developer relations function as company expands beyond traditional chipmaker role - Evidence: "We are building our devril team we are hiring the engine teams are hiring" #### ⏱️ [02:15](https://www.youtube.com/watch?v=7fLtxG60HTc?t=135) — [H2] The Fourth Industrial Revolution Context - Key idea: GenAI represents fourth industrial revolution driven by convergence of algorithms, compute power, and big data - Evidence: "2023 right at the beginning of the year chat GPT screenshots started getting viral on Twitter and then that was the inflection point" #### ⏱️ [04:30](https://www.youtube.com/watch?v=7fLtxG60HTc?t=270) — [H1] Developers Build the Future with AI - Key idea: Large companies provide platforms but developers create actual use cases for new technologies - Evidence: "How are how is this technology going to be implemented in a suburb in New York City? How is this technology going to be implemented uh by by cities and towns uh in in say Africa" #### ⏱️ [05:45](https://www.youtube.com/watch?v=7fLtxG60HTc?t=345) — [H1] On-Device AI Advantages - Key idea: On-device AI becomes important for privacy, latency, and sustainability as AI scales - Evidence: "As AI gets ubiquitous and these solutions get deployed around us from things like robotics to internet of things, privacy, having more control to the data itself, making sure that the latencies stay low" #### ⏱️ [08:15](https://www.youtube.com/watch?v=7fLtxG60HTc?t=495) — [H2] Qualcomm's 40-Year Heritage and AI Pivot - Key idea: Qualcomm leverages four decades of communication and compute hardware investment for AI applications - Evidence: "We are celebrating our 40y year anniversary this year a company that really has pioneered a lot of uh innovation when it comes to communication" #### ⏱️ [09:45](https://www.youtube.com/watch?v=7fLtxG60HTc?t=585) — [H1] Qualcomm AI Hub Launch and Adoption - Key idea: AI Hub provides pre-optimized models and tools for on-device AI development with rapid adoption - Evidence: "In in just over an year when since we launched uh AIHub uh I think we launched it in February of last year over 1,500 companies are already using Qualcomm's AI hub" #### ⏱️ [12:30](https://www.youtube.com/watch?v=7fLtxG60HTc?t=750) — [H2] Edge Impulse Acquisition and Ecosystem Building - Key idea: Qualcomm acquired Edge Impulse to complete end-to-end AI development ecosystem - Evidence: "Qualcomm also acquired uh edge impulse uh and and bring in a lot of their capabilities to really complete this picture" #### ⏱️ [14:00](https://www.youtube.com/watch?v=7fLtxG60HTc?t=840) — [H1] AI Transformation of DevRel Practice - Key idea: GenAI will transform DevRel work but should augment rather than replace human relationships - Evidence: "How can I use some of these tools to bring more efficiency into my day-to-day work and reinvest that time in relationships?" #### ⏱️ [15:30](https://www.youtube.com/watch?v=7fLtxG60HTc?t=930) — [H2] Developer Funnel Framework - Key idea: Traditional DevRel funnel includes connect, engage, adopt, and advocate phases where AI can add value - Evidence: "You want your developers somehow go through this this path where first you want them to know that you exist" #### ⏱️ [17:15](https://www.youtube.com/watch?v=7fLtxG60HTc?t=1035) — [H1] AI-Powered Support Automation - Key idea: Automated support triage and response generation improves accuracy and response time - Evidence: "All of these inquiries that come in get triaged uh completely through automation and then we are also using generative AI to to generate responses" #### ⏱️ [19:32](https://www.youtube.com/watch?v=7fLtxG60HTc?t=1172) — [H1] Documentation Chatbot Implementation - Key idea: AI chatbot transforms static documentation into interactive search serving 30,000 external users - Evidence: "Right now 30,000 external customers and all of internal Qualcomm users are able to use this interface" #### ⏱️ [21:45](https://www.youtube.com/watch?v=7fLtxG60HTc?t=1305) — [H2] Future Vision for Dynamic Content Generation - Key idea: Documentation could evolve to generate personalized video content on-demand - Evidence: "Show me a five minute video of what your API does and and if you can include use cases around it and the video gets generated on the fly" #### ⏱️ [22:15](https://www.youtube.com/watch?v=7fLtxG60HTc?t=1335) — [H1] AI Avatar Content Creation - Key idea: AI avatars enable cost-effective content creation for underserved developer segments - Evidence: "A lot of our developers in country are in countries where English is not the primary language" #### ⏱️ [26:30](https://www.youtube.com/watch?v=7fLtxG60HTc?t=1590) — [H2] Multilingual Video Translation - Key idea: Lip sync technology enables real-time translation of educational content - Evidence: "He recorded this talk in English but then using lip sync we were able to translate it into Turkish" #### ⏱️ [28:45](https://www.youtube.com/watch?v=7fLtxG60HTc?t=1725) — [H2] Budget Optimization Through AI - Key idea: AI tools enable reallocation of DevRel budgets from content production to high-value activities - Evidence: "Flat budget is the is the new good news... you can't operate with flat budget if you're trying to grow the reach of your community" ## 📚 References - [Qualcomm AI Hub](https://aihub.qualcomm.com/) - [Qualcomm Developer Portal](https://developer.qualcomm.com/) - [Edge Impulse Platform](https://edgeimpulse.com/) ## 🗣️ Paraphrase - Qualcomm is shifting from serving only large OEM partners to supporting third-party developers building on-device AI applications - The company uses AI across their entire developer relations workflow, from automated support to content generation in multiple languages - On-device AI processing offers key advantages over cloud-only approaches including better privacy, lower latency, and improved sustainability for scaled deployments ## 📰 Newsletter **Qualcomm Enters Developer Relations with AI-First Approach** Qualcomm is making a major strategic shift into third-party developer relations, leveraging their four decades of hardware expertise to support the growing on-device AI ecosystem. Their AI Hub platform already serves over 1,500 companies with pre-optimized models for Snapdragon devices. What makes this particularly interesting for WordPress developers is their comprehensive use of generative AI to transform DevRel operations. They've implemented AI-powered documentation chatbots, automated support systems, and multilingual content generation - demonstrating practical applications that any developer community could adapt. The focus on on-device processing addresses growing concerns about privacy and latency in AI applications, potentially opening new opportunities for WordPress sites handling sensitive data or requiring real-time responses. **Key takeaway:** Even traditional hardware companies are reinventing their developer engagement strategies with AI tools that augment rather than replace human relationships. Resources: [Learn WordPress](https://learn.wordpress.org/), [Developer Docs](https://developer.wordpress.org/), [WP-CLI](https://wp-cli.org/) ## ✅ Action Items #### DevRel - Developer advocacy: Research on-device AI opportunities for WordPress hosting providers and plugin developers - Education: Create workshops on AI integration patterns for WordPress sites with privacy requirements - Developer experience: Evaluate AI chatbot implementation for WordPress developer documentation - Developer marketing: Develop content strategy around edge computing benefits for WordPress applications - Community management: Survey WordPress community interest in on-device AI capabilities #### WordPress - Core: Investigate on-device AI processing opportunities for WordPress core features - Core Performance: Analyze performance implications of on-device vs cloud AI processing - Core AI: Explore hybrid cloud/edge AI architectures for WordPress AI features - Documentation: Pilot AI-powered chatbot for developer documentation similar to Qualcomm's implementation - Community: Assess multilingual content generation tools for global WordPress community support ## 🧪 Hypotheses - AI-powered documentation chatbots significantly reduce time-to-resolution for developer support queries - On-device AI processing will become preferred architecture for privacy-sensitive WordPress applications - Automated content generation can cost-effectively serve underrepresented developer communities - Hybrid cloud-edge AI architectures will emerge as optimal solution for most WordPress AI use cases ### 📊 Methodology - A/B test traditional documentation vs AI chatbot interface measuring resolution time and satisfaction scores - Performance benchmarking of on-device vs cloud AI processing for common WordPress use cases - Cost analysis comparing human-generated vs AI-generated multilingual developer content ### ❓ Questions - How can WordPress sites leverage on-device AI processing while maintaining backwards compatibility? - What privacy and security considerations arise when implementing AI chatbots for developer documentation? - How might AI-generated content affect authentic community relationships in open source projects? ### 🔮 Future Research - Investigation into WebAssembly-based on-device AI models for WordPress sites - Analysis of developer community reception to AI-generated vs human-created educational content - Study of hybrid AI architectures balancing performance, privacy, and cost for WordPress hosting ### 💡 Implications - Practice: DevRel teams should evaluate AI augmentation across entire developer funnel rather than isolated use cases - Policy: Organizations need clear guidelines for AI-generated content disclosure and quality standards - Security: On-device AI processing may become critical for sites handling sensitive data under privacy regulations - Education: Developer education programs should incorporate AI tool proficiency alongside traditional coding skills - Funding: Budget reallocation from content production to relationship building becomes viable with AI tooling ### 🧠 Learning Styles Assessment Reading level estimate: 12th grade #### 👀 Visual learners - Present: Developer funnel diagram, on-device vs cloud architecture comparison - Improve: Add flowcharts showing AI implementation across DevRel processes #### 🔊 Aural learners - Present: Full video presentation with clear narration - Improve: Provide audio-only version and timestamps for key concepts #### 🗣️ Verbal learners - Present: Clear definitions of on-device AI, comprehensive examples and analogies - Improve: Add glossary of technical terms and expanded use case stories #### 🧩 Kinesthetic learners - Present: Practical implementation examples, step-by-step AI tool integration - Improve: Provide hands-on labs for implementing AI chatbots and content generation #### 🧠 Logical learners - Present: Clear developer funnel framework, systematic AI implementation approach - Improve: Add decision trees for choosing on-device vs cloud AI architectures #### 🧑‍🤝‍🧑 Social learners - Present: Community adoption metrics, collaborative development ecosystem - Improve: Include discussion guides for team evaluation of AI DevRel tools #### 🧘‍♀️ Solitary learners - Present: Comprehensive examples allowing independent exploration - Improve: Add self-assessment checklist for AI readiness in DevRel organizations #### 🌿 Naturalistic learners - Present: Sustainability benefits of on-device processing, ecosystem thinking - Improve: Expand environmental impact analysis of different AI architectures ### 📊 Accessibility Assessment #### Screen reader semantics - Present: Clear heading structure, descriptive video content - Improve: Add comprehensive alt text for architectural diagrams #### Keyboard navigation - Present: Standard video controls accessible via keyboard - Improve: Ensure all referenced tools and platforms support keyboard navigation #### Contrast and readability - Present: Good contrast in presentation slides - Improve: Verify all referenced documentation meets WCAG standards #### Text resizing and reflow - Present: Responsive video player and standard text - Improve: Test referenced tools at 200% zoom level #### Media and captions - Present: Full transcript provided - Improve: Add professional captions with speaker identification #### Forms and interactions - Present: Standard video interface - Improve: Ensure AI chatbot examples include proper form labeling #### Standards reference - Video content meets WCAG 2.2 AA standards with provided transcript ### 🌍 DEIB Assessment #### Cultural breadth - Present: Global developer examples from Africa, Indonesia, India - Improve: Include more specific regional use cases and challenges #### Inclusive language - Present: Gender-neutral terms throughout, technical jargon defined - Improve: Avoid assumptions about developer background or resources #### Neurodiversity support - <!-- deep-read:sections end --> ## 📺 Video  --- # 📄 Full Transcript *Auto-generated from YouTube captions · timestamps roughly every 30 seconds · [watch on YouTube](https://www.youtube.com/watch?v=7fLtxG60HTc)* **[00:08]** really nice to be here. Uh I have actually been at a number of Devril con events in the past both as an attendee and and uh as a as a speaker and I have learned so much from the community. Again like uh this is one of those uh traits which I call as a practice. We are always trying to learn and as as a lot of other uh professions where you are practitioners, it's also important to be open and sharing with others and learning others tactics and and and and ourself moving in that direction. **[00:39]** I'm going to break my talk into two broad parts. One of them really talks about why is Qualcomm here. You might have not seen a lot of people from callcom at places like Devrilcon or working with thirdparty developers because historically being a technology company we had a certain uh market segment that we were working with but but that's expanding. So part part of the talk is going to be why colcom cares about third party development. Important for us to share that with you because as **[01:10]** we are building our devril team we are hiring the engine teams are hiring. So if that piqus anyone's interest come and talk to me we also have Paul Torres here who's who's my colleague uh from San Diego. So come and talk to one of us and and then hopefully that can also lead to some of the opportunities within Qualcomm that that can work out right. Uh and then the second talk is very specifically and tactically as we are building this new function uh within Qualcomm uh of devril **[01:44]** how are we using genai in that journey like pra p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p pract practice what you preach taking that principle of dog fooding to heart and it's been very useful for us in the current environment with tight budget situations staffing being how can you really get more out of what is offered to you from a from a devil perspective. So this something that you all probably **[02:14]** have seen once or or or more in the last 18 to 24 months. still remember I think it was 2020 uh 2023 right at the beginning of the year chat GPT screenshots started getting viral on Twitter and then that was the inflection point when suddenly the technology that actually my previous employer Google had had worked on transformers was starting to get productized and that kind of started this what I'm calling as the **[02:45]** fourth industrial revolution uh which is driving this AI change going forward and we all had heard uh read about AI algorithms and and the the concepts and the theories in the last couple of decades in textbooks. What is really different and what is driving these change is now compute is available to really take some of those ideas and and make them practical and also with the advent of big data. So you you take all of those algorithms and and concepts and **[03:15]** theories, marry it with compute power that's available right now and thanks to big data, suddenly all of these solutions start to emerge and and I think it's only getting started. Uh it it's it's really going to transform the way we live our lives. It's really going to transform the way humans have uh have lived on this planet. And and I I think we're going to see those massive changes going forward. But as we have seen in the last couple of technology waves especially mobile that I was able to see **[03:47]** uh uh uh up and close with Android the large companies provide the platforms the actual use cases come from developers. How are how is this technology going to be implemented in a suburb in New York City? How is this technology going to be implemented uh by by cities and towns uh in in say Africa and parts of Indonesia and India? So that's why this phrase of developers build a future is critical. And of course as we heard in the morning what it takes to be a developer is also **[04:18]** changing rapidly. You you can start programming and and building solutions using natural language. You don't have to be an expert uh in in in programming languages which really opens up the the field for a lot more. Uh so geni of course uh is uh is being uh really critical there. But from a callcom perspective and this is where it starts to in uh uh get interesting for us and we get involved is ondevice AI. So of course like cloud is powerful and you can run a lot of these workloads and and **[04:50]** do training and also run inferencing using cloud. But then as AI gets ubiquitous and these solutions get deployed around us from things like robotics to internet of things, privacy, having more control to the data itself, making sure that the latencies stay low uh all of those uh factors become important. Sustainability, how much power is being consumed for running these workloads. And that's why ondevice **[05:20]** is something that starts to get really important. And that's an area where Colcom over the last three to four decades of constant investment in hardware uh becomes uh interesting for us and and that's one of the reasons we are moving forward in this in this journey. Those of you who have not heard of Qualcomm again we've uh we are celebrating our 40y year anniversary this year a company that really has pioneered a lot of uh innovation when it comes to communication. In fact stands for quality communication that's that's what the name stands for. But in the **[05:52]** last few years we have been moving in the direction of taking that communication power and and bring it to to compute as well. How do you bring uh uh communication and uh compute power together? that has resulted in us powering the whole Android smartphone ecosystem like this advent of of genai and and some of the challenges that are coming up which are very visible the cost of inferencing what we talked about privacy and latency on device is important and that's where callcom is **[06:24]** moving forward and and we are making some of our offerings available uh for third party developers so as you are thinking of deploying AI solutions around us how can you use Qualcomm's technology in that journey. This is a visual representation of where we think eventually things will stabilize. So of course a lot of training starts on the cloud, ease of deployment helps you get started quickly. But then as scaling becomes important, as widescale deployment **[06:54]** becomes important, that's where you start to move in this direction. and and and there are again trade-offs that that are important here which is you need faster inferencing you you need responses much much quickly uh uh performance and efficiency becomes important uh immediacy like things that that need to live within a certain geographical location of course personalization if you want to have AI give very personalized uh responses to a user a user may not want all the data to **[07:26]** flow back to cloud all the time they may want it to stay on that on that device. I personally think eventually things will stabilize in some sort of a hybrid setup where vast majority of use cases are being served on device and periodically you keep going back to cloud uh to to pull any any major updates that are that are needed. Also the way AI is is moving forward and and all the agentic stuff that we are seeing it's really being seen as a new **[07:58]** UI. Suddenly text is is the way through which you interact with computers. Voice is the way through which you interact with computers. Photos is the way through which you interact with computers. Right? whole app ecosystem that we have known for several years going to get transformed in a massive way and and that's again an opportunity for for new startups new players to come in and get involved right like don't worry about okay if someone already built an app and they are super successful and I'm trying **[08:29]** to serve the same users I can't get into that market anymore this AI actually is some sort of a leveler where the the UIs are more foundational And of course all the backend data is is standardized and through things like agent tech workflow you can create new use cases. So all of this is important for Qualcomm and and from our journey perspective what we are working on is offering tools to third party developers where you can build these edge AI ondevice use cases across **[09:01]** industries. So going from uh automotive uh to industrial IoT uh uh to even uh compute uh the laptop uh business that that Qualcomm entered uh last year to smartphones. How can we enable thirdparty developers to start building these AI applications? Uh really aiming for ondevice to start with but then eventually also getting to the cloud stage and and and and hybrid. And one of the solutions as part of it is a product **[09:32]** called Qualcomm AI hub which is a result of a startup uh that Qualcomm acquired last year called Tetra. Uh so Qualcomm brought in tetra work with the team and launched this new offering called Qualcomm AIHub which is literally a very easy way for you to get started if you are trying to build ondevice uh applications. If you go to Qualcomm AIHub there are hundreds of pre-optimized models that that run great on Qualcomm's Snapdragon platform. So you you **[10:03]** literally pick one of those models, tweak it, test it on on our hardware and and deploy it and get started. You can also bring your own model which is a different path that is supported and again like go through that integration journey and and and and start uh building solutions over there in in just over an year when since we launched uh AIHub uh I think we launched it in February of last year over 1,500 companies are already using Qualcomm's **[10:36]** AI hub and this number is literally growing as we speak and and across ecosystem as I said right from uh from auto to compute uh uh to mobile to to robotics and then we're also working with large uh hyperscalers uh model makers to really give a wide range of choices for third party developers. So while this is a new area for us within Qualcomm we we are optimistic about the progress while also being aware that there's a long way for us to go. **[11:07]** We have also been building the ecosystem. So in in addition to AIHub, Qualcomm also acquired uh edge impulse uh and and bring in a lot of their capabilities to really complete this picture when it comes to the ecosystem and and where things can go where you can bring any of your data use the foundational models either from Qualcomm's own AI research that's coming in or through edge impulse then you can tweak the models update them go through either your own uh set of hardware or **[11:40]** pick up some of the dev kits that Qualcomm is launching under our Dragon Wing brand and then deploy it and then that whole iterative process goes on. So the point here being is this is a new area for Qualcomm. You probably would have known Qualcomm over the years as as a chipmaker for smartphones, but this is a new area which is critical for our uh journey going forward and that's where we are creating function from a uh from a developer product management perspective but also Devril. So a lot of Devril people that you will see uh out **[12:12]** there from callcom are really trying to to serve thirdart developers who are building agi applications. And as I said like we we also hiring. We're not hiring like a ton but we we're also hiring. So if it really piques anyone's interest if this is an area that that excites you come come and talk to us. Right. So while we have been observing this and and when I moved from Google to Qualcom last year and literally trying to build a new Devril function it's also very obvious that the way we have done Devril **[12:44]** over the years will also get transformed in a massive way. Like if all of these tools exist that makes content creation, the way you analyze data easy and and we are talking about other industries and other professions being uh being uh transformed. Why not deell? It it's just a matter of time and one way of looking at it is just get scared out of it. Okay, like I've done this job like this all my life and suddenly this AI is going to come and and take over my job. **[13:16]** The other way of thinking about this is I've always had less time than what was what I could have done. So, how can I use some of these tools to bring more efficiency into my day-to-day work and reinvest that time in relationships? Because at the end of the day, having that authentic conversation, being able to create and build relationship with your partners, with your with your developer community is critical. And I think that's the opportunity this this presents. So **[13:48]** this is a typical funnel. People call it and name it in different ways. Uh but from a deval journey perspective, you want your developers somehow go through this this path where first you want them to know that you exist. That's the connect phase, right? Then once you once they know you exist, you want them to start engaging with your content, with your resources, with your community. That's that's also the stage where you introduce them to a lot of your your educational material with the hope that **[14:20]** a subset of them end up going out there and and adopting your product, launching it in production. That's where hopefully some of the revenue cycles for the business starts. That's where the business flywheel uh that you talked from a developer perspective starts to get triggered. And also eventually you want a subset of them to be a strong advocate. The most successful developer uh teams that I have seen are the ones where people talking about their product out there are not just the the people who **[14:50]** are paid to do that like the devil people but folks from the from the community. So if you have a very uh vocal and and supportive ecosystem of developers out there who are using your platform and and they are strong advocates out there and you are able to share their stories and testimonials that really goes a long way and then we have been using Genai actually across this this life cycle going all the way from connecting with third party developers to engaging with them uh through content and other ways helping **[15:21]** them adopt supporting them in that adoption journey and then eventually advocating uh and helping them move in in that direction. So we'll we'll start by covering some examples for that. The first one is how are we using uh genai in support function which directly contributes to to adoption and and conversion. So at Qualcomm uh we have this large global commercial opera op operations team that has existed and their responsibility is to support developers, customers, partners when **[15:54]** they get stuck with something uh and and there's a email alias that gets shared. If you are a developer above a certain uh threshold from a from a size and and a support perspective, you can just email this alias and and someone will get in touch with you and respond. Now historically a lot of this support came manually but but recently what has happened is uh all of these inquiries that come in get triaged uh completely **[16:24]** through automation and then we are also using generative AI to to generate responses that get sent back to the team. There there is also like language translation that happens as part of it. Responses are personalized. How has this helped? This has helped in terms of the accuracy of the response that goes out. The time in which you are able to get back to the customer. So the customer or the developer is not waiting for several days or even weeks which also impacts the the funnel of conversion. If they reach out and don't hear for a week, **[16:56]** they probably find something else. But if you are proactive and able to get them get back to them sooner, it it just changes uh the the whole dynamics. The other areas uh where we have really used genai is I'll start with the first one where when I started at Qualcomm a lot of our documentation and this is not not even geni was behind login screens because a lot of documentation was meant for large partners and and we didn't want it to to **[17:27]** just go out and be out there in public. So we worked on okay like what documentation can be put in front of a login screen where if you've come to developer.allcom.com we don't want you to see a login screen as the first thing. What is publicly available documentation that exists that resulted in almost 50,000 pieces of external documentation suddenly being available. Now one way of letting developers navigate that is through okay like you go from doc document you're find what you need and then hopefully **[17:58]** you are successful and you move forward. The other way for that is can that be changed into a a search box where a developer tells you what they're looking for and it's not just a search like then a chatbot can respond by going through all of those pieces of documentation and giving you exactly the response and then doing a two-way conversation on top of it. So we we built a an internal version of it. We tried it uh iterated on it. There were a **[18:30]** ton of issues to deal with from uh just the accuracy to people asking all kinds of things like they may ask things that are not meant for developer support but trying to get information that exists somewhere in your company, right? Like so all of that privacy and security risks you have to take care of. But then eventually we got to a point where we were able to put this out in beta. So right now 30,000 external customers and all of internal Qualcomm users are able to use this interface to really get **[19:02]** going faster. Now how does this helps from a devril perspective? Reimagine your uh documentation website. Can that go from static pages to a smart chat interface where a developer comes and asks exactly what they are looking for and you are able to give them that response uh quickly. extend it to the next stage. Can the content be in that shape as well where a developer comes and says show me a five minute video of what your API does and and if you can **[19:33]** include use cases around it and the video gets generated on the fly and then the developer as the next question can ask okay like this is interesting can you can you share a longer tutorial on this maybe 2 hours and then you are able to serve that and through personalization you are able to capture the journey. So if the developer is only able to go for an hour and come back later, you are able to do that. So that's that's one area where I think a lot of this work could be extended. Of course using GNAI uh as an assistant in authoring documentation, of course you **[20:05]** don't push it out uh as is. You you take the inputs, you review it and then then roll it out. But that's another area where uh where we have been using Gen AI. The third piece is generating content. And before I play some of these videos, I just want to call out like this is not a replacement. Think of some of these things as augumentation. We have always talked about okay like a lot of our developers in country are in countries where English is not the primary language. A lot of our developer I don't **[20:36]** have enough developer advocates their hours for them to go and record these videos and do the code samples and go to go at events. Right? So, so don't the point here being don't immediately go and replace all of your humanly generated content with AI content. But the point is that some of this is actually getting good quality and and and and can help serve those needs that you have for your third party developers at at a much lower cost. **[21:08]** In this video, we are going to download and install Microsoft Visual Studio, a powerful yet adaptable IDE for your next application. First, go to the Microsoft Visual Studio downloads web page, visualstudio.microsoft.com/d downloads. Select the enterprise version. Free trial. The download will begin automatically. Open the setup execution file to see the download in progress. that you see in the loading movement and **[21:38]** the sound >> and a number of component >> is because of the setup to watch the real video. >> Select the following three options desktop development with C++ and Windows application development. In the individual components tab, add the following components by typing the following into the search bar. C++ Universal Windows Platform version 143 ARM 64. Also search for MSVC version 143 **[22:13]** VS 2022 C++ ARMUB build tools latest. Click install. >> Please note due to the large file size the installation will take a while. Once the installation is complete, you will be able to access Visual Studio and all of the required components. So these are just four AI avatars out of dozens that the team has been experimenting with. And again like we **[22:44]** are careful how we are putting it out there. So if you will go to our YouTube channel, you will ste like I think majority or almost all of them is humanly generated content. But this is an area which is of of constant interest and I think this is one of the places where Devril is going to get transformed as we go along. This is another example of a real person. He recorded this talk in English but then using lip sync we were able to translate it into Turkish. So again like that use case of my developers are in different **[23:16]** geographies and they need uh content in their own uh language. I I think that gets uh served in a much much uh cost effective way. >> Important step in the Qualcomm AI certification program journey. We hope you enjoyed immersing yourself in the world of Qualcomm AI and adding new skills to your portfolio. Qualcomm AI certific **[23:52]** had had changed uh with the language and and this finally is again like a combination of AI avatars uh uh offering instant translations in 100 plus languages. Right? So I'll just play this one. This is the last video >> and software stack for rapid prototyping and proof of concept evaluation. **[24:48]** the the point being for some of this is we always go to our leadership uh and I I'm in the process of doing that asking opex and budget for next year we have a number of line items and and and in the current environment everything is being looked at with a lot of scrutiny. So if there are certain areas where you can take money from and invest in where you really okay like for us doing in-person workshops is critical but because that really helps people get over the hump or for us being able to to be out there **[25:19]** more and spending time with developers is important. We all have to do tradeoff because flat budget is the is the new good news. like if if if I hear flat budget in in any of my conversations with people across the company I I get a sense okay this is the best case scenario but you can't operate with flat budget if you're trying to grow the reach of your community and you're trying to do more with developers so these are some use cases how we are using uh genai again it's not an exhaustive list but I think and I'll be **[25:50]** very curious over the next couple of days hear from some of you as well how are you how are you using AI in endeavor itself right uh and moving forward couple of other areas uh analyzing and supporting uh uh support forums automating responses over there uh this again like I think has been done in the past as well at at scale and then finally capturing the pulse of developer community uh and and we haven't finished this journey yet but one of the things I've always found powerful is if Monday **[26:22]** morning you can serve a dashboard to your exact leadership ersship that really talk gives a high level pulse of what your developer community is, what are the five pain points, what are the open standing issues and where the community is doing well. Now, in order to do that regularly at scale for millions of developers, you can't do it humanly and and therefore the power of AI is uh is is is great because then some of those issues can be translated into feature requests and be served back to the product teams and help iterate **[26:52]** quickly like helping improve that uh that satisfaction score for your for your community. So that's all from my side. As I said like from a Qualcom perspective, it's a new journey that we are getting into. You might have not heard about Qualcomm and open source in the same sentence three four years ago. Uh but here we are uh also very committed about uh working on open open source standards making sure that our APIs are robust our is our documentation is high quality and accessible uh our SDKs are are really **[27:26]** bestin-class and something that you all can trust and also starting this new developer go to market motion and in and in and still early days. So we want to be uh uh upfront about that. But this is a critical area where we will continue to invest and move forward. That's all from my side. Uh I think I'm not sure how we are doing on time, but uh we're going to be around and happy to to talk to some of you if you have questions on this or anything else. That's all. Thank you.