AI Innovators - By SaladCloud

AI Innovators
  • 3.0 (2)
  • 科技
  • 半周一更

Where’s the next MOAT in AI? How to innovate for edge cases? Are data scientists obsolete? Can AI unlock brand partnerships? This podcast goes beyond the regular and dives into the untold stories of AI innovation that are often overlooked. AI Innovators by SaladCloud brings you raw, unfiltered conversations with the pioneers pushing the boundaries of artificial intelligence in the most unexpected ways. Each episode explores unconventional perspectives, challenging the status quo and spotlighting the brilliant minds tackling edge cases that others ignore. We’ll uncover the hidden gems of the AI landscape — those who are not just chasing trends but redefining the future with creativity, audacity but also simplicity.

  1. From WhatsApp Bot to a Global AI Profile Pic Brand: The Secta Labs Story | Ep 17 | Marko Jak

    5月5日

    From WhatsApp Bot to a Global AI Profile Pic Brand: The Secta Labs Story | Ep 17 | Marko Jak

    In this episode of the AI Innovators Podcast, we are joined by Marko Jak, founder of Secta Labs, to discuss the AI-driven transformation of professional profile pictures. Marko shares the journey of Secta Labs, from its early days as a WhatsApp bot creating fun images to its rise as a go-to for high-quality AI-generated profile pictures on platforms like LinkedIn and Twitter. He talks about challenges in the image generation space, including issues of bias and quality, and how Secta Labs continuously iterates to improve. You'll also hear touching customer stories that highlight the emotional impact of being able to present oneself confidently through AI-generated images. Tune in to learn about the technical innovations behind Secta Labs and the future vision of enhancing memories through advanced AI imagery. 00:00 Introduction to the AI Innovators Podcast 00:10 Meet Marko Jak: Founder of Secta Labs 01:10 The birth of Secta Labs 02:26 From WhatsApp bot to a global AI brand 06:37 Growing an AI tool with influencers and community 08:58 Making $100k in 5 hrs from a LinkedIn post 10:55 Why AI profile pictures is one of the hardest technical problems 20:58 Addressing bias & ethics in profile pictures 26:40 Competing against newer AI tools 32:42 Helping people see themselves better with AI 37:30 Conclusion and Final Thoughts

    38 分钟
  2. From Dentists to Lawyers: How AI conversational intelligence is helping SMB Marketers - Ep 16

    4月22日

    From Dentists to Lawyers: How AI conversational intelligence is helping SMB Marketers - Ep 16

    In this episode of the AI Innovators Podcast, we sit down with Ryan Johnson, Chief Product Officer at CallRail, a leading conversational intelligence platform. This podcast is brought to you by SaladCloud (www.salad.com). Ryan shares insights into how CallRail empowers marketers and small to medium-sized businesses by providing deep attribution and conversational analysis. He discusses the origins of CallRail, their unique focus on marketers, and the powerful AI-driven features that make the platform indispensable. From post-call analysis to real-time AI voice agents, Ryan delves into the technology that differentiates CallRail, including the challenges and future of AI in conversation intelligence. Whether you're a product manager, marketer, or business owner, this episode offers valuable lessons on leveraging AI to solve long-standing problems and improve customer interactions. 00:00 Introduction to the AI Innovators Podcast 00:27 Understanding CallRail's Unique Market Position 01:06 The Evolution of CallRail 03:23 The Marketing Automation Landscape 03:52 Conversation Intelligence in Marketing vs. Sales 08:13 Diverse Industries Served by CallRail 10:50 Adoption and Implementation of CallRail 14:54 AI in SMBs vs. Enterprises 19:26 Building Better Products in the Age of AI 21:53 Leveraging AI to Solve Existing Problems 22:19 Challenges and Improvements in AI Transcription 22:49 Advice for Product Managers 24:25 AI Voice Agents and Transcription Accuracy 25:59 Post-Call Analysis and Aggregated Insights 27:41 Industry-Specific Accuracy Requirements 28:40 Real-Time Transcription and Custom Context 33:26 CallRail's Market Leadership and Strategy 36:26 The Value of Context in AI Solutions 41:26 Future Challenges in Conversation Intelligence 43:49 Conclusion and Final Thoughts

    45 分钟
  3. AI in Retail: Personalization, Ethics, and Scale - Ep 15 | Shashank Kapadia | Walmart Global Tech

    4月10日

    AI in Retail: Personalization, Ethics, and Scale - Ep 15 | Shashank Kapadia | Walmart Global Tech

    In this episode of the AI Innovators podcast, host Prashanth interviews Shashank Kapadia, a staff machine learning engineer at Walmart Global Tech. This episode is brought to you by SaladCloud, the most affordable cloud for AI/ML inference at scale (www.salad.com). Shashank shares insights on his role in developing and operationalizing machine learning models at scale within Walmart. He discusses his extensive experience in machine learning, including pivotal moments that reshaped his approach. They delve into the challenges and learning moments in recommendation systems, the importance of considering user experience holistically, and the phenomenon of the 'next best algorithm syndrome.' Shashank also highlights AI's role in enterprise and balancing innovation with operationalization. The conversation covers the broader integration of AI in business operations, the ethics and fairness of AI systems, and how ethical AI can serve as a business moat. Towards the end, they touch upon the technical and operational considerations for scalable AI platforms and emerging AI technologies promising advancements in personalization. This episode provides a deep dive into the intersection of AI and retail, offering valuable insights for both industry professionals and enthusiasts. 00:00 Introduction and Guest Welcome 00:28 Role and Responsibilities at Walmart 01:10 Key Projects and Learnings in Machine Learning 03:39 Challenges in Implementing AI Models 04:15 Balancing Innovation and Operationalization 07:26 Enterprise vs. Startup AI Implementation 10:22 Transition from Engineer to Leader 16:51 Personalization and Ethical Considerations 31:50 Scalable AI Platforms and Architectural Decisions 38:17 Future of AI in Retail 42:07 Conclusion and Final Thoughts   Disclaimer: Shashank Kapadia's comments and opinions are provided in their personal capacity and not as a representative of Walmart. They do not reflect the views of Walmart and are not endorsed by Walmart.

    43 分钟
  4. Behind Phoenix: Leonardo AI’s foundational model - Ep 13 | Aninda Saha | Leonardo AI

    3月11日

    Behind Phoenix: Leonardo AI’s foundational model - Ep 13 | Aninda Saha | Leonardo AI

    From PhD to AI Innovator: Aninda Saha discusses joining Leonardo AI's founding research team, the Phoenix foundational model, Leonardo's integration with Canva, tackling bias in AI research and more. This podcast is brought to you by SaladCloud: www.salad.com In this episode of the AI Innovators Podcast, host Prashanth interviews Aninda Saha, a Senior AI Research Engineer at Leonardo, now part of Canva. Aninda shares his journey from completing a PhD to joining Leonardo, helping build their Phoenix model, and the eventual acquisition by Canva. The discussion covers the challenges and innovations in AI generative art, particularly focusing on prompt adherence, knowledge distillation, and the democratization of AI. Aninda also provides insights into the technical aspects of AI research, including issues of diversity, regional tastes, and optimizing generative models. The episode concludes with Aninda's thoughts on the future of AI, including generative gaming and sustainable AI development strategies. 00:00 Introduction and Guest Welcome 00:23 Aninda's Journey from PhD to Leonardo 01:31 Early Days at Leonardo and Startup Experience 04:11 PhD Research and Knowledge Distillation 07:37 Democratization of AI 12:25 Leonardo's Growth and Success 14:51 Technical Challenges and Innovations 19:29 Leonardo's Integration with Canva 32:02 Future of AI and Closing Remarks

    35 分钟
  5. Trust and Safety for AI Avatars: From Politics to Personal Life - Ep 14 | HeyGen | Lavanya Poreddy

    3月4日

    Trust and Safety for AI Avatars: From Politics to Personal Life - Ep 14 | HeyGen | Lavanya Poreddy

    "AI avatars are reshaping elections, content moderation, and even grief. But can we truly trust them?" 🗳️🤖 Lavanya Poreddy from HeyGen reveals the high-stakes world of trust and safety in AI - moderating deepfakes, safeguarding data, and more. Listen now! 🎙️ #AI #DeepfakeDetection Join us for an insightful episode of the AI Innovators Podcast as we sit down with Lavanya Poreddy, Head of the Trust and Safety Division at HeyGen. Lavanya discusses HeyGen's AI avatar technology and its practical applications across various sectors from elections to personal life. She shares fascinating stories and real-world examples, emphasizing the importance of trust and safety in AI innovations. From handling deepfake concerns during the US elections to proactive and reactive moderation strategies, Lavanya reveals the intricate balance of protecting user data, ensuring ethical use, and navigating the challenges of content moderation during political events. This episode not only highlights the groundbreaking work at HeyGen but also provides a closer look at the critical role of trust and safety in the evolving AI landscape. 00:00 Introduction to the AI Innovators Podcast 00:22 Overview of HeyGen's Capabilities 01:00 Use Cases and Market Reach 03:04 Interactive Avatars and Innovation 04:49 Trust and Safety in AI 05:34 Lavanya's Journey in Trust and Safety 12:01 Proactive vs Reactive Moderation 18:05 Content Moderation at HeyGen 26:43 Challenges in Political Content Moderation & Elections 27:37 Voice Recognition and Political Content Monitoring 28:36 Celebrity Voice Detection and Language Translation 29:23 Rapid Response to Harmful Content 30:49 AI Tools and Trust in HeyGen 33:37 Data Privacy and User Safety 38:54 Balancing Innovation and Trust 41:44 Heartwarming Uses of HeyGen 46:22 The Ongoing Challenge of Trust and Safety 49:37 Conclusion and Final Thoughts

    50 分钟

  6. 2月23日

    Undetectable AI’s Journey to 15 Million Users - Christian Perry | AI Innovators podcast | Ep 12 | Salad

    In this episode of the AI Innovators Podcast, Christian Perry, the founder of Undetectable.ai, shares the story behind growing to 15 Million users for his AI detection and humanizer tool. This podcast is brought to you by SaladCloud: www.salad.com Christian discusses his journey from his previous venture Chatterquant, the flaws in early AI content detectors, and the vision behind Undetectable.ai. He highlights the challenges and strategies for humanizing AI-generated content, the global impact of AI detection, and the company’s rapid growth to 15 million users. Additionally, Christian shares insights into future product innovations, the importance of corporate culture, and effective growth hacking techniques. The conversation also touches on the societal implications of AI, especially in terms of content creation and detection across different languages and regions. 00:00 Introduction to AI Innovators Podcast 00:14 Christian Perry's Journey into AI 00:50 Challenges with AI Detection 02:00 Undetectable's Market Impact 04:20 AI Detection vs. Humanization 08:26 Growing to 15 Million users 12:31 Future of AI and Undetectable 21:02 Maintaining Company Culture at a Startup 24:18 Lightning Round: Quick Insights 27:08 Conclusion #ai #aicontent #podcast #aipodcast #startup #cloudcomputing #artificialintelligence #aidetector #llm

    28 分钟
  7. Ep 11 - CTO's perspective on cost reduction & globalization in AI - Mohamed Rashad - Hyperion AI

    2月10日

    Ep 11 - CTO's perspective on cost reduction & globalization in AI - Mohamed Rashad - Hyperion AI

    This podcast is brought to you by SaladCloud: www.salad.com. In this episode of the AI Innovators Podcast, we are joined by Mohamed Rashad, the CTO of Hyperion AI. Mohamed shares his journey from his initial steps in AI to co-founding various AI startups and working with major companies like Nokia. He discusses the challenges startups face in bringing AI products to market and how Hyperion AI helps bridge the gap from proof of concept to production. The conversation also touches on the rise of localized AI technologies, the trend of solopreneurs, and the role of AI in leveling the global playing field. Mohamed delves into the importance of sustainability and risk management for AI startups, the potential of no-code tools, and shares his thoughts on distributed cloud solutions like Salad. 00:00 Introduction to the AI Innovators Podcast 00:32 Mohamed Rashad's Career Journey 02:51 Bridging the Gap in AI Development 05:23 Global AI Hubs and Localized Technologies 08:48 The Rise of Solopreneurs and One-Man Startups 11:20 Challenges in AI Adoption and Production 29:26 The Future of No-Code and Low-Code Tools 33:45 Closing Thoughts and Environmental Impact

    36 分钟
  8. AI Innovators - Ep 10 - James Verbus, Sr. Staff Software Engineer, Machine Learning at LinkedIn

    1月26日

    AI Innovators - Ep 10 - James Verbus, Sr. Staff Software Engineer, Machine Learning at LinkedIn

    In this episode of the AI Innovators Podcast by SaladCloud (www.salad.com), James Verbus, a Sr. Staff Machine Learning Engineer at LinkedIn, shares his journey from particle astrophysics to machine learning at LinkedIn. He discusses identifying abuse on social media platforms, the ethical challenges of AI-generated content, the importance of trust and explainability in AI systems, and the ongoing arms race between AI detection systems and bad actors. Verbus also emphasizes the balance between effective detection and maintaining a positive user experience, as well as offering valuable advice for aspiring machine learning engineers on how to advance their careers. Takeaways Transitioning from astrophysics to machine learning for broader opportunities. Detecting abuse on social media parallels searching for dark matter. LinkedIn's trust team addresses various types of abuse and trust issues. AI can be used for both trust and abuse in social media. Explainability in AI is crucial for user trust. AI tools can enhance creativity and content creation. The landscape of AI is heterogeneous and requires customization. Bad actors quickly adopt new technologies for scams. AI-generated content raises ethical concerns and user distrust. Robust detection systems are essential in the arms race against AI abuse. - - Models can detect AI-generated photos with high accuracy. Continuous model updates are essential for effective detection. Bad actors exploit AI-generated images for fake accounts. Training data quality and volume are critical for model performance. Detection models operate at various stages of user activity. Balancing detection and user experience is crucial. AI engineers should focus on solving real business problems. Effective communication of results is key for career advancement. Being T-shaped in skills can enhance impact in teams. A holistic approach to abuse prevention increases effectiveness. This podcast is brought to you by SaladCloud: www.salad.com

    45 分钟
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关于

Where’s the next MOAT in AI? How to innovate for edge cases? Are data scientists obsolete? Can AI unlock brand partnerships? This podcast goes beyond the regular and dives into the untold stories of AI innovation that are often overlooked. AI Innovators by SaladCloud brings you raw, unfiltered conversations with the pioneers pushing the boundaries of artificial intelligence in the most unexpected ways. Each episode explores unconventional perspectives, challenging the status quo and spotlighting the brilliant minds tackling edge cases that others ignore. We’ll uncover the hidden gems of the AI landscape — those who are not just chasing trends but redefining the future with creativity, audacity but also simplicity.

信息

  • 创作者
    AI Innovators
  • 活跃年份
    2024年 - 2025年
  • 单集
    17
  • 分级
    儿童适宜
  • 版权
    © Copyright 2024 All rights reserved.
  • 节目网站
    AI Innovators - By SaladCloud