So What About AI Agents

Philippe Trounev
  • 5.0(3개의 평가)
  • 과학 기술
  • 매주 업데이트

🎙 What About AI Agents is your go-to podcast for exploring the rapidly evolving world of AI agents. From automating workflows to revolutionizing industries, we break down the latest advancements, real-world applications, and emerging trends in AI. Join us weekly as we uncover how AI agents are shaping our future, featuring expert interviews, thought-provoking insights, and stories that bridge the gap between humans and intelligent systems. Whether you're an AI enthusiast, industry professional, or simply curious about the tech shaping tomorrow, What About AI Agents has something for you.

  1. P 40 | Agentic Security - Grant McCracken @ DarkHorse.sh

    3일 전

    P 40 | Agentic Security - Grant McCracken @ DarkHorse.sh

    Summary In this episode, Philippe Trounev and Grant McCracken discuss the evolving landscape of cybersecurity, particularly focusing on the role of agentics and AI in enhancing security measures. They explore the implications of new attack vectors like prompt injection, the potential for agent-to-agent attacks, and the innovative approach of agentic pen testing. Grant shares insights on how AI can improve the efficiency and effectiveness of security testing while emphasizing the importance of foundational cybersecurity practices. The conversation highlights the balance between leveraging advanced technologies and maintaining robust security protocols. Takeaways Cybersecurity is evolving with the introduction of agentics. Fundamentals of cybersecurity remain crucial despite new technologies. 68% of data breaches originate from human error. Prompt injection is a significant new attack vector. AI can identify existing vulnerabilities but not create new ones. Agentic pen testing offers continuous, fatigue-free testing. Contextual vulnerabilities are better identified by AI. AI pen testing could reduce costs compared to human testers. Dark Horse aims to make cybersecurity solutions accessible. AI compute costs are high but expected to decrease over time. Titles The Future of Cybersecurity: Agentics and AI Understanding Cybersecurity in the Age of AI Sound bites "68% of data breaches start at the human layer." "Prompt injection is a new attack vector." "Agentic pen testing can run 24/7 without fatigue." Chapters 00:00 Introduction to Cybersecurity and AI Agents 01:42 Changing Attack Vectors in Cybersecurity 03:44 Human Layer Vulnerabilities and AI's Role 07:13 Prompt Injection and Offensive Strategies 11:26 Agentic Systems and Security Risks 12:58 Agent-to-Agent Attacks and Communication Risks 17:03 Agentic Pen Testing: A New Approach 21:33 Cost Efficiency of Agentic Pen Testing 24:48 Exciting Developments in AI Pen Testing 27:53 Future of Agentic Pen Testing and Market Potential

    33분
  2. EP 39 - Agentic Authentication | Bobbie Chen

    9월 23일

    EP 39 - Agentic Authentication | Bobbie Chen

    Summary In this episode, Philippe Trounev interviews Bobbie Chen, a product manager at Stytch, about the challenges and solutions related to AI agents, particularly in the context of security and fraud prevention. They discuss the concept of agentic experience, the importance of effective authentication methods, and the need for businesses to protect themselves from bad bots. Bobby shares insights on implementing agentic solutions, navigating compliance issues, and the future of fraud prevention in an increasingly automated world. Takeaways AI agents have unique needs that differ from human users. Agentic experience is crucial for effective interaction with AI. Security measures must evolve to protect against bad bots. Device fingerprinting is a key tool in identifying fraudulent activity. CAPTCHAs are becoming less effective against sophisticated attacks. Shadow banning can be an effective strategy against spammers. Integrating agentic solutions can be quick and efficient. Compliance with regulations like GDPR is essential for businesses. The future of fraud prevention will require constant adaptation. Understanding attack vectors is vital for effective security measures. Titles Navigating the World of AI Agents The Importance of Agentic Experience Chapters 00:00 Introduction to AI Agents and Security Challenges 02:51 Understanding Agent Experience 05:24 Agent Authentication and Security Risks 08:03 Identifying Good and Bad Agents 10:38 Defending Against Malicious Bots 13:22 Real-World Impacts of Agentic Attacks 16:07 Implementing Agentic Solutions 18:52 Future of Fraud Prevention and Agentic Technology 21:47 Navigating Privacy and Compliance Issues 24:29 Final Thoughts on AI Agents and Security

    34분
  3. EP 38 - The Role of AI in Drug Discovery - Javier Tordable from Pauling.AI

    9월 15일

    EP 38 - The Role of AI in Drug Discovery - Javier Tordable from Pauling.AI

    Keywords AI, drug discovery, Pauling.AI, language models, FDA approvals, automation, inhibitors, in silico experiments, agentic prompts, healthcare Summary In this conversation, Javier Tordable from Pauling.AI discusses the innovative approach to drug discovery using AI and language models. He explains the mission behind the company, the challenges of FDA approvals, and the automation of literature reviews and simulations. The discussion also covers the importance of inhibitors in drug discovery, the differences between in silico and wet lab experiments, and the need for adaptability in AI models. Tordable emphasizes the significance of the mission in improving healthcare and the potential for partnerships in the drug discovery process. Takeaways Pauling.AI aims to shorten drug discovery time significantly. AI-generated drugs follow the same FDA approval process as traditional drugs. Language models excel at reviewing and summarizing prior research. Automation of initial simulations can save weeks of work. Most drugs developed are inhibitors, which block specific biological processes. In silico experiments are a focus for Pauling.AI, differentiating from wet lab experiments. The risk of hallucinations in AI requires careful management in drug discovery. Adapting to rapid changes in AI models is crucial for success. Human-initiated interactions guide the AI agents' processes. The mission of drug discovery is to improve lives, not just profit. Sound bites "Most drugs are inhibitors." "We focus on in silico experiments." "Human-initiated interaction is key." Chapters 00:00 Introduction to Agentic Drug Discovery 02:15 The Role of AI in Drug Discovery 04:55 Current State of AI-Driven Drug Development 07:25 Challenges in Drug Discovery and AI Integration 10:04 Optimizing AI Agents for Drug Discovery 12:53 Human-AI Collaboration in Drug Discovery 15:39 Future of AI in Drug Discovery 18:13 Insights and Best Practices for Building AI Agents 21:10 The Economics of Drug Discovery 23:41 Conclusion and Future Directions

    39분
  4. AI News - Sep 7 - Sep 14

    9월 15일

    AI News - Sep 7 - Sep 14

    Keywords AI news, investment, governance, AI companions, market dynamics, technology trends, AI deployment, valuations, regulatory landscape, business intelligence Summary In this episode of So What About AI, Philippe Trounev discusses the latest developments in AI news, focusing on significant investments, the challenges of AI deployment, the rise of AI companions, and the shifting focus of venture capitalists from artificial general intelligence (AGI) to return on investment (ROI). The conversation highlights the complexities of AI governance, the societal implications of AI companionship, and the regulatory landscape affecting AI technologies. Takeaways Cognition AI raised $400 million at a $10.2 billion valuation. 95% of enterprise AI pilots fail, indicating a significant challenge in deployment. 97% of AI deployments globally lack proper governance. AI companions are becoming a concern for governments due to their increasing prevalence. Venture capitalists are shifting their focus from AGI to ROI, emphasizing profitability. Companies are increasingly buying AI solutions rather than building them in-house. The AI market is experiencing a peak hype phase, with significant investments flowing in. OpenAI's job platform aims to teach humans to work alongside AI. Mistral's $1.3 billion investment reflects the growing intersection of hardware and AI. The regulatory landscape is becoming more complex, particularly in the EU. Sound bites "OpenAI launches a job platform." "95% of enterprise AI pilots fail." "AI agents are at peak hype." Chapters 00:00 AI News Overview 04:50 Governance and Regulation in AI 09:32 Data Breaches and Security Concerns

    14분
  5. EP 37 | Navigating AI Implementation in Enterprises - Patrick Rayes

    9월 12일

    EP 37 | Navigating AI Implementation in Enterprises - Patrick Rayes

    keywordsAI agents, enterprise implementation, pharmaceutical sector, SAP, ChatGPT, employee training, AI adoption, technology consulting, Infosys, automationsummaryIn this conversation, Philippe Trounev interviews Patrick Rayes, a senior principal at Infosys Consulting, about the implementation of AI agents in enterprise settings, particularly in the pharmaceutical sector. They discuss the challenges faced during AI adoption, the importance of human intervention, and the approval processes required in regulated industries. Patrick shares insights on employee training and the top-down approach necessary for successful AI integration, as well as managing expectations and misconceptions about AI capabilities.takeawaysAI implementation in enterprises requires a top-down approach.Human intervention is still necessary in AI processes.Approval processes in regulated industries are crucial for AI adoption.Employee training and education are key to successful AI integration.AI agents can simplify complex workflows and processes.Managing expectations about AI capabilities is essential for stakeholders.The pharmaceutical sector has specific requirements for AI implementation.A centralized interface enhances user experience with AI tools.Consulting firms play a vital role in guiding AI adoption.Companies must adopt AI with the same urgency as the internet.titlesNavigating AI Implementation in EnterprisesThe Role of Human Intervention in AISound Bites"AI is getting big right now.""Human intervention is still required.""AI agents simplify complex processes."Chapters00:00Introduction to AI Agents in Enterprises02:19AI Implementation in Pharmaceuticals and Banking04:43Challenges and Lessons Learned in AI Adoption07:01Human Intervention in AI Processes09:37Real-World Examples of AI Implementation11:02Approval Processes for AI in Regulated Industries12:45Comparing AI Tools: SAP Jewel, ChatGPT, and Gemini15:21Employee Adoption and Training for AI Systems18:03Impact of AI on Workflows and Efficiency20:41Managing Expectations Around AI Capabilities23:24Consulting Strategies for AI Transformation26:10Safeguarding Proprietary Knowledge in AI28:56Key Takeaways for Successful AI Implementation

    36분
  6. EP 36 | The Future of User Experience in an AI-Driven World | Ginny Delaiter

    9월 9일

    EP 36 | The Future of User Experience in an AI-Driven World | Ginny Delaiter

    In this episode, Ginny Delaiter, founder and CEO of BDS Digital Agency, discusses the intersection of user experience (UX) and artificial intelligence (AI) in marketing. She emphasizes the importance of integrating AI into UX design while maintaining a human-centered approach. The conversation explores how AI can enhance user experience, the need for accessibility in AI-driven designs, and the evolving landscape of UI/UX as AI becomes more prevalent. Ginny shares insights on best practices for adapting websites for AI agents and the importance of educating users about new technologies.takeaways User experience should be the center of the product.AI gives us open doors to do faster work and better work.We need a human interloop in the process of UX design.Blocking the agent means losing traffic and visibility.Agents are smarter than traditional search engines like Google.UX strategies need to be done by humans, not just AI.Don't say no and refuse everything new; adapt to change.A good website should be understood by both people and AI.UX is all about education and guiding users through the experience.We need to think about different personas in UX design.

    31분

  7. 8월 7일

    EP 35 | With Sofiya Eremenko | Is a "Copilot" AI Better Than an "Autopilot" One?

    In this episode of What About AI Agents, host Philippe Trounev sits down with Sofiya Eremenko, founder of the agency Aimly, to discuss the practical, and sometimes surprising, reality of implementing AI at scale. Sofiya shares her hard-earned insights from working in the vibrant but complex GCC (Gulf Cooperation Council) region. She dives into her own "failure experience" with a client-facing AI agent that was meant to automate sales follow-ups. The key lesson? Cultural nuances and different dialects, like those found across the Arab world, are too complex for current AI models to handle effectively. Sofiya learned that a polite "Insha'Allah" from a client doesn't mean a follow-up is necessary—it can be a subtle "no." Instead of a full-automation "autopilot," Sofiya’s team found success by building an internal AI "copilot." This agent acts as a powerful knowledge base, helping sales managers quickly get complex product details without needing to consult with different teams. This system reduced the time to respond to a client from an entire day down to a single hour, proving that the most effective AI solutions often support human work rather than replace it. Tune in to hear more of Sofiya’s insights, including her advice on selling AI solutions by focusing on the "wow effect" of simple use cases and the critical importance of extensive testing to safeguard against unexpected outcomes. Want to be a guest on What About AI Agents? Send Philippe Trounev a message on PodMatch, here: https://podmatch.com/hostdetailpreview/17345406908669558d25580e0 #AI #AIAgents #SoftwareDevelopment #Innovation #HR #Technology #Podcast #Enterprise #Podmatch

    33분

  8. 8월 5일

    EP 34 | With Casey Marquette | Is AI Recruiting More Ethical Than Ghosting?

    In this episode of What About AI Agents, host Philippe Trounev sits down with Casey Marquette, CEO of Covenant HR, to explore a game-changing solution for the recruiting industry. Marquette, a former C-suite executive from tech giants like Cognizant and CVS Health, reveals how his company is tackling one of the biggest frustrations in hiring: the endless stream of unreviewed applications and the silent treatment candidates often receive.He introduces Scout, an AI agent so powerful it acts as an HR force multiplier. Imagine a recruiter that screens resumes in 2.2 seconds and works 24/7, ensuring every single applicant gets a fair shot. Marquette explains how Scout handles the entire recruiting cycle, from technical pre-screening to scheduling, freeing up human recruiters to focus on what they do best: building relationships.This isn't just about efficiency it's about a new, more ethical way to hire. Marquette addresses the skepticism around "talking to an AI" and argues that providing consistent, valuable feedback is far better than ghosting a candidate. Tune in to discover how Covenant HR is not only making recruiting faster and smarter but also more humane, proving that the future of hiring is here, and it's powered by AI.Want to be a guest on So What About AI Agents? Send Philippe Trounev a message on PodMatch, here: https://podmatch.com/hostdetailpreview/17345406908669558d25580e0#AI #AIAgents #SoftwareDevelopment #Innovation #HR #Technology #Podcast #Enterprise #Podmatch

    32분
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🎙 What About AI Agents is your go-to podcast for exploring the rapidly evolving world of AI agents. From automating workflows to revolutionizing industries, we break down the latest advancements, real-world applications, and emerging trends in AI. Join us weekly as we uncover how AI agents are shaping our future, featuring expert interviews, thought-provoking insights, and stories that bridge the gap between humans and intelligent systems. Whether you're an AI enthusiast, industry professional, or simply curious about the tech shaping tomorrow, What About AI Agents has something for you.

정보

  • 제작진
    Philippe Trounev
  • 방송 연도
    2024년 - 2025년
  • 에피소드
    41
  • 등급
    전체 연령 사용가
  • 저작권
    © Philippe Trounev
  • 웹사이트 보기
    So What About AI Agents

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