So What About AI Agents - Navigating Compliance, Automation and Data Poisoning in the Age of AI
SummaryThis conversation explores the evolving role of AI in business, focusing on compliance, data management, and the automation of traditional roles. Philippe Trounev discusses the implications of AI technologies, including data poisoning, the replacement of product managers, and the ethical concerns surrounding AI agents in negotiations and monitoring. The discussion highlights both the potential benefits and risks associated with the increasing reliance on AI in corporate environments.KeywordsAI, compliance, data poisoning, product management, negotiation, automation, corporate safeguards, ethical concerns, technology, future of workTakeawaysAI is increasingly being used to enforce compliance in businesses.Data poisoning can be used strategically to influence AI recommendations.The role of product managers is being automated by AI technologies.AI agents are negotiating deals, potentially removing humans from the process.There are ethical concerns regarding AI's decision-making without human oversight.Companies are implementing safeguards against unauthorized AI usage.AI can be weaponized in competitive business environments.The future may see a separation between the internet for agents and humans.AI's ability to monitor and report can lead to unintended consequences.The landscape of business roles is rapidly changing due to AI advancements.TitlesAI's Impact on Business: Compliance and AutomationNavigating Data Poisoning in the Age of AISound bites"AI supposed to make our lives easier.""AI spotting kids over Doritos.""An agent has a conversation with a supplier."Chapters00:00 The Rise of AI Agents and Their Impact05:41 The Future of Product Management and Automation
--------
9:46
--------
9:46
EP 45 - So What About AI Agents - Enterprise Implementation Playbook
KeywordsAI projects, hype vs reality, return on investment, success metrics, narrow use casesSummaryIn this conversation, Ammar Bhaisaheb discusses the critical aspects of initiating AI projects, emphasizing the importance of distinguishing between hype and reality. He advocates for a focused approach, where projects are defined by narrow use cases and measurable goals. The conversation highlights the necessity of modeling return on investment before embarking on any AI initiative, ensuring that projects are viable and worth the investment of time and resources.TakeawaysThe very first chat with clients is to separate hype versus reality.AI projects should be approached with a scalpel, not a will.Success in AI requires a narrow, super use case.Clear goals must be measurable for AI projects.Modeling return on investment is crucial before coding.Projects should aim for a three to five X return on investment.If a project can't deliver ROI, it's not worth pursuing.Focus on measurable outcomes to ensure project success.Narrow use cases lead to better-defined AI projects.Invest time only in projects that meet ROI criteria.TitlesNavigating the AI Hype: A Practical ApproachThe Scalpel Method: Precision in AI ProjectsSound bites"Separate the hype versus reality in AI.""Pick a narrow, super use case.""Clear goal that you can actually measure."Chapters00:00 Introduction to AI Agents and Their Impact00:07 Choosing the Right Use Cases for AI Agents00:43 Data: The Foundation of AI Success
--------
0:01
--------
0:01
EP 44 | Why AI Can't Replace Enterprise Technical Writers (Yet)
John Brazier spent 25 years leading Oracle's technical documentation team, managing 394 books translated into 10+ languages. Today we discuss why AI-generated documentation fails at enterprise scale, the $12M translation problem, and why technical writers are evolving into "Knowledge Orchestrators."🔑 Key Topics:- Why enterprise documentation requires human wisdom, not just AI knowledge- The $500K cost of translating a single 500,000-word manual- How one comma can trigger a $40,000 retranslation- Revenue recognition regulations that make AI documentation illegal- The future role: Knowledge Orchestrator vs Technical Writer📊 Quick Stats:- 394 books in Oracle's documentation library- $12M initial translation cost for 6-product logistics suite- 500,000 translatable words per book- Translation costs: $0.06-$0.30 per word⏱️ Timestamps:00:00 Introduction02:28 The Scale of Documentation at Oracle04:41 Translation Challenges ($12M Problem)09:29 Knowledge vs Wisdom in Technical Writing16:36 The Future of Technical Writers31:39 Why Human Oversight Is Non-Negotiable#TechnicalWriting #AI #Documentation #EnterpriseAI #FutureOfWork
--------
0:01
--------
0:01
EP 43 | How to Sell your AI Agents to the US Government | $50 Billion Market
KeywordsAI, government contracts, agentic AI, compliance, certifications, small business, technology, security, federal government, entrepreneurshipSummaryIn this conversation, Philippe Trounev and Cordell Robinson discuss the burgeoning field of agentic AI and the significant investment the US government is making in this area. They explore the steps entrepreneurs need to take to sell AI agents to the government, including navigating the registration process, understanding compliance and certification requirements, and the lifecycle of government contracts. Cordell shares insights on the types of AI solutions in demand, the importance of security, and the advantages of partnering with established firms to access government contracts. The discussion emphasizes the potential for small businesses to thrive in this niche market as the government increasingly seeks innovative AI solutions.TakeawaysThe US government is heavily investing in agentic AI.Entrepreneurs must register their businesses on sam.gov to sell to the government.Compliance with NIST 800-171 is crucial for DoD contracts.The certification process can take several months, so start early.Government contracts often require a competitive bidding process.Selling existing products may involve customization for government needs.Security audits are essential for government contracts.Partnerships can enhance credibility and access to government opportunities.There is a growing demand for AI solutions in government, especially in security.Small businesses have a unique opportunity to enter the government contracting space.TitlesUnlocking Government Contracts for AI SolutionsNavigating the Complex World of Government ContractingSound bites"You have to register your business on sam.gov.""You can bid on contracts for the government.""NIST 800171 is your in-house security audit."Chapters00:00 The Rise of Agentic AI in Government02:56 Navigating Government Contracts: The Basics05:17 Compliance and Certifications for Small Businesses08:17 Bidding on Government Contracts: The Process11:00 Partnerships and Accelerating Government Sales13:43 Financial Aspects of Government Contracts16:43 Security Requirements for Government Products19:29 The Advantages of Selling to the Government22:02 Identifying High-Demand Use Cases24:50 Cost and Competition in the Government Contract Space
--------
0:01
--------
0:01
EP 42 - Real-Time Threat Detection: The Future of Safety - Egor Olteanu - Volt.ai
KeywordsAI, video analytics, security, Vault AI, incident detection, privacy, technology, company culture, future of AI, Igor OlteanuSummaryIn this episode, Igor Olteanu, co-founder of Vault AI, discusses the transformative impact of AI-powered video analytics on physical security. He shares his journey from military service to tech innovation, the technology behind Vault AI's solutions, and the importance of real-time incident detection. Igor addresses privacy concerns, highlights the effectiveness of their technology, and shares notable success stories. He also reflects on the cultural insights gained from his time at Google and how they influence the company culture at Vault AI. Finally, Igor offers his thoughts on the future of AI in security and encourages listeners to embrace innovation.TakeawaysIgor transitioned from military to tech due to a passion for innovation.Vault AI focuses on real-time incident detection in educational spaces.The technology uses geolocation and 3D mapping for accuracy.AI validation is complemented by human oversight to reduce false positives.Privacy concerns are addressed by clarifying existing camera usage.The effectiveness of AI allows for 100% camera monitoring.Notable incidents include detecting medical emergencies and bullying.Company culture emphasizes direct communication and innovation.Igor's military background aids in understanding security needs.The future of AI in security will see increased adoption and trust.TitlesTransforming Security with AI: Igor Olteanu's JourneyReal-Time Threat Detection: The Future of SafetyChapters00:00 Introduction to Vault AI and Igor's Journey02:49 The Technology Behind Vault AI's Video Analytics05:12 Real-Time Incident Detection and Response08:02 Privacy Concerns and Customer Objections10:50 Effectiveness of AI in Security13:41 Notable Incidents and Success Stories16:47 Cultural Insights from Google to Vault AI19:24 Building a Strong Company Culture22:00 The Future of AI in Security24:47 Final Thoughts and Encouragement
🎙 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.
Österreich