AI Innovators - By SaladCloud

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

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.

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

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

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

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

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

Transcribing 20 Million hrs/month for 95% less - Ep 9 - Petros Syntelis - Virgin Media O2

From Astrophysics to AI Transcription: Petros Sintelis' Journey with Virgin Media O2
In this episode of the AI Innovatives Podcast by Sala Technologies, host Prashanth interviews Petros Sintelis, Principal Data Scientist at Virgin Media O2. Petros shares his transition from academia in solar physics to the machine learning space at Virgin Media O2, highlighting the reasons behind his career shift and the challenges faced.
They discuss the role of data science in telecommunications, including personalization, pricing, operations, and network expansion.
Petros dives into the practicalities and cost-effectiveness of deploying open-source models like Whisper for transcription services and emphasizes the importance of team structure and cost considerations in machine learning projects. The conversation also touches on emerging trends in AI and the impact of distributed cloud solutions on enterprises and startups.
00:00 Introduction and Guest Welcome
00:28 Petros Syntelis' Background and Career Journey
01:31 Transition from Astrophysics to Data Science 05:57 Role and Responsibilities at Virgin Media O2
06:40 Team Structure and Project Management
09:06 Applications of Data Science in Telecommunications
13:03 Challenges and Innovations in Call Center Transcription
19:08 Cost Analysis and Benefits of Self-Hosted Whisper
24:46 Technical Challenges and Infrastructure
32:14 Emerging Trends and Future of AI
38:55 Closing

Evolution of AI in Marketing - Sudha Reddy - Rava AI | AI Innovators Podcast | Ep #8 | Salad

In this episode of the AI Innovators podcast, Sudha Reddy, CMO and co-founder of Rava AI, discusses the evolution of AI in marketing, the challenges faced by marketers in a saturated tool landscape, and the importance of adapting marketing strategies in the age of AI. She also discusses the need for startups to focus on distribution and branding rather than just technology, and explores the future of AI tools in content creation and lead generation.
 
This podcast is brought to you by Salad, the world's largest distributed cloud.
Learn more: https://salad.com/
Try SaladCloud today: https://portal.salad.com
Takeaways
- Rava AI as an AI marketing platform that manages content generation.
- The competition in AI marketing tools is intense and ever-evolving.
- Marketers must adapt to new tools and strategies to stay relevant.
- AI has democratized content generation, making it accessible to all. - Understanding target audiences is crucial for effective marketing.
- Distribution and branding are now key differentiators in startups.
- AI tools are increasingly capable of generating human-like content.
- Marketers need to experiment with various channels to reach audiences.
- The landscape of marketing is shifting from text to video and other formats.
- AI can assist in content creation, but human insight remains essential.
 

Ep 7 - AI image generation & the startup journey - Rohit Rao - Segmind

In this episode of the AI Innovators Podcast, Rohit Rao, CEO of Segmind, discusses the journey of his company from its inception to its current role in democratizing generative AI for marketers. He shares insights on the transition from medical AI to generative AI, the challenges faced in building a startup, and the importance of open source in gaining initial traction. Rohit also explores the future of AI text to image generation, the ethical considerations surrounding AI, and the sustainability of AI technologies.
This podcast is brought to you by Salad, the world's largest distributed cloud. Learn more: https://salad.com/ Try SaladCloud today: https://portal.salad.com
Takeaways
- SegMind simplifies the use of generative AI models for marketers.
- The transition from medical AI to generative AI offers faster gratification.
- Founding a startup today is easier for smaller teams but harder in competition.
- Setbacks are common in the startup journey and require resilience.
- Open source projects can effectively build initial user bases.
- The launch of SegMOE aims to make AI models more accessible.
- Future innovations in AI will focus on multimodal capabilities.
- AI image generation is becoming more sustainable and efficient.
- Ethical considerations in AI are crucial for responsible development.
- The landscape of AI is rapidly evolving, requiring constant adaptation.