OPEN Tech Talks: AI worth Talking| Artificial Intelligence |Tools & Tips

“Open conversations. Real technology. AI for growth.” Open Tech Talks is your weekly sandbox for technology: Artificial Intelligence, Generative AI, Machine Learning, Large Language Models (LLMs) insights, experimentation, and inspiration. Hosted by Kashif Manzoor, AI Evangelist, Cloud Expert, and Enterprise Architect, this Podcast combines technology products, artificial intelligence, machine learning overviews, how-tos, best practices, tips & tricks, and troubleshooting techniques. Whether you're a CIO, IT manager, developer, or just curious about AI, Open Tech Talks is for you, covering a wide range of topics, including Artificial Intelligence, Multi-Cloud, ERP, SaaS, and business challenges. Join Kashif each week as he explores the latest happenings in the tech world and shares his insights to help you stay ahead of the curve. Here's what you can expect from Open Tech Talks Conversations: • How organizations scale AI beyond pilots • Where AI implementations break down • Governance, risk, and maturity in GenAI systems • Career evolution in the age of AI The podcast is available on all major platforms, including Spotify, Apple, and Google. Each episode of the podcast is about 30 minutes long. "The views expressed on this Podcast and blog are my own and do not necessarily reflect those of my current or previous employers."

Could Living Neurons Power the Future of AI with Ewelina Kurtys 03/15/2026

Could Living Neurons Power the Future of AI with Ewelina Kurtys Over the last couple of years, most of my conversations around AI have been about capability. How fast models are improving. How agents are becoming more autonomous. How enterprises can adopt GenAI safely. How teams can redesign workflows around intelligence. But this week, I found myself thinking about something deeper. Not what AI can do. But what does AI cost? And I don’t just mean money. I mean energy. I mean infrastructure. I mean the hidden assumptions underneath the current AI boom. Because when we talk about the future of AI, most people immediately jump to models, chips, data centers, agents, and software stacks. But as someone who works closely with organizations trying to operationalize AI in the real world, I keep coming back to a harder question: What happens when the current compute model itself becomes the bottleneck? This is not a question most teams are asking yet. But it is a question serious builders should start paying attention to. This week, while reviewing different enterprise AI patterns and thinking through long-term architecture choices, I realized that much of the current AI conversation still happens within the assumptions of silicon, scale, and software abstraction. But what if the next major shift is not a better model? What if it is a different computing substrate altogether? That’s exactly why today’s conversation is important. Because this episode is not about another AI app. It is not about another wrapper. It is not about another productivity layer. It is about something much more fundamental: What might come after silicon, and how should we think about it today? Chapters: 00:00 Introduction to Ewelina Kurtis and Final Spark 00:52 Understanding Living Neurons and Their Potential 02:44 The Vision Behind Final Spark 05:34 Current Progress and Future Goals 08:27 Collaborations and Research Opportunities 11:17 Programming Living Neurons 14:02 Ethical Considerations in Biocomputing 16:59 Benefits of Biocomputing for Society 19:39 Advice for Aspiring Bioengineers 22:30 Commercial Aspects of Final Spark 24:24 Investor Insights and Future Directions Episode # 184 Today’s Guest: Dr. Ewelina Kurtys, Scientist from FinalSpark Website: What Listeners Will Learn: Why the future of AI may require rethinking computation itself, not just models How energy efficiency is becoming a core strategic issue in AI What biocomputing means in simple terms How living-neuron-based computing differs from traditional silicon-based systems Why future AI progress may depend on alternative hardware paradigms How emerging scientific computing trends should matter to enterprise AI leaders today Why staying ahead in AI means looking beyond current tools and architectures Resources: /episode/index/show/otechtalks/id/40488495

How Attackers Use AI And Why Your Defenses Might Still Fail with Adriel Desautels 02/22/2026

Why 95% of AI Pilots Fail and How to Be in the 5% with Mindaugas Maciulis 02/07/2026

Why 95% of AI Pilots Fail and How to Be in the 5% with Mindaugas Maciulis Welcome to Open Tech Talks. Quick note before we start, thank you. The messages, the feedback, the “keep this practical” reminders… they’ve been incredibly helpful. Open Tech Talks has always been a weekly sandbox for technology insights, experimentation, and inspiration—with one objective: learn, test, and share what’s real. Now, a personal moment from this week. A few days ago, I sat with a business owner who said something that stuck with me: “AI is everywhere… but I don’t know where to start without breaking my business.” And that’s the truth for most companies, especially small businesses. Because “start with AI” sounds simple… until it touches real operations: leads that go cold, follow-ups that don’t happen, teams that feel overwhelmed, tools that multiply, processes that nobody can explain clearly. Most AI projects don’t fail because the model is weak. They fail because the process is unclear, the team is overloaded, and the strategy is missing. Let’s begin. Episode # 182 Today’s Guest: Mindaugas (Min) Maciulis, Founder & CEO of Strategic AI Advisors He works with CEOs, COOs, and operating partners in the $20M–$250M range who are ready to go beyond pilots and turn AI into real EBITDA growth. His proven 90-day sprint framework, AImpact OS, delivers measurable lifts across productivity, customer service, and sales. Website: What Listeners Will Learn: Identify the best “starting point” for AI using business pain, not hype Understand why AI pilots fail mostly due to adoption (not technology) Learn a practical approach to simplify workflows before adding automation See how SMBs can move faster than enterprises in the AI era Understand the difference between augmentation and transformation with AI Learn how to avoid tool overload and focus on measurable outcomes Resources: /episode/index/show/otechtalks/id/40018555

AI Is Creating Technical Debt Faster Than You Think with Maxim Silaev 01/30/2026

AI Is Creating Technical Debt Faster Than You Think with Maxim Silaev This week, I’ve been thinking about something slightly uncomfortable. Last weekend, I was reviewing one of my older architecture diagrams from five years ago. A cloud-native migration plan I was deeply proud of at the time. It was clean. Structured. Scalable. And then I asked myself: If I were to rebuild this today in the era of generative AI… Would I build it the same way? The honest answer? No. Not because it was wrong. But because our assumptions have changed. Two years ago, AI was a feature. Today, AI is shaping architecture decisions. We’re not just designing systems anymore. We’re designing systems that design, generate, predict, and automate. And here’s the tension I keep seeing in enterprise conversations: Everyone wants AI. But very few are asking: “What technical debt are we creating while chasing it?” That’s why today’s conversation matters. Today, I’m joined by Maxim Salav, based in Australia, someone who works deeply in enterprise architecture and technical debt remediation. And this episode is not about hype. It’s about responsibility. Because AI doesn’t remove architectural complexity. In many cases, it amplifies it. Let’s get into it. Chapters 00:00 Introduction to Technical Debt and Architecture 01:34 The Impact of AI on Technical Debt 04:12 Generative AI and Architectural Challenges 08:40 Adopting AI in Organizations 12:26 Building AI Strategies and Governance 17:33 Data Quality and AI Integration 22:43 Guardrails for AI Adoption Episode # 181 Today’s Guest: Maxim Silaev, Technology Advisor and Enterprise Architect He is a technology advisor and enterprise architect with more than two decades of experience working with high-growth companies, complex systems, and business-critical platforms. Website: What Listeners Will Learn: What technical debt really means in the AI era How generative AI can unintentionally increase hidden system risk Why architecture remains critical despite AI coding tools The importance of governance and verification layers in AI systems How large enterprises are cautiously integrating AI Why strategy must precede AI deployment The evolving role of enterprise architects in AI-native environments Resources: /episode/index/show/otechtalks/id/39934270

Simplify Your Tech Stack and Scale Faster with Kara Williams 01/25/2026

Building Startups in the AI Era Lessons from 30 Years of Venture Capital with Scott Kelly 01/18/2026

Building Startups in the AI Era Lessons from 30 Years of Venture Capital with Scott Kelly Welcome back to Open Tech Talks, and thank you, genuinely, for the continued support, messages, and thoughtful feedback. This show has been running for years now, and what keeps it meaningful is the shared curiosity of this community. We’re in a very different phase of the AI journey. The conversation has clearly moved past “Can we build this?” Now it’s about “Should we build this?”, “Is this sustainable?”, and “Does this actually create value?” Over the last year, I’ve personally noticed something interesting while working with enterprises, founders, and investors: AI has lowered the cost of building but raised the cost of judgment. It’s easier than ever to create products, prototypes, and even companies. But deciding what’s worth building, when to raise capital, and how to scale responsibly has become harder, not easier. That’s why today’s conversation matters. This episode is not about chasing trends or predicting the next AI unicorn. It’s about long-term thinking, founder discipline, and understanding capital, timing, and execution in an AI-driven world. Today’s guest has spent decades working across venture capital, startup growth, and exits through multiple technology cycles and brings a grounded perspective that’s especially valuable right now. Let’s welcome Scott Kelly to Open Tech Talks. Chapters 00:00 Introduction to Scott Kelly and His Ventures 02:00 The Transformative Impact of AI 04:03 Successful Investments and Entrepreneurial Journeys 05:53 Lessons for Entrepreneurs and Pitching Tips 10:06 Navigating the AI Landscape in Startups 11:52 Industry Applications of AI 14:54 Pitch Events and Investor Engagement 17:03 Investor Perspectives on New Technologies 19:52 Advice for Aspiring Entrepreneurs Episode # 179 Today’s Guest: Scott Kelly, Founder & CEO, Black Dog Venture Partners He has been working on both sides, with entrepreneurs and investors alike, for more than three decades. Harnessing his innovative skills, vast experience training thousands of salespeople, and tapping into his vast network of investors. Website: Youtube: What Listeners Will Learn: How AI is changing the economics of building and scaling startups Why many founders may not need venture capital as early as they think Lessons from past technology cycles that still apply in the GenAI era How investors evaluate AI-driven businesses beyond surface-level hype Why timing, discipline, and execution matter more than tools What founders often misunderstand about pitching, capital, and exits How AI lowers build costs but raises the importance of strategic judgment Resources: Website: YouTube: /episode/index/show/otechtalks/id/39772205

Building AI Products That Users Actually Trust, Lessons from Angshuman Rudra 01/11/2026

Building AI Products That Users Actually Trust, Lessons from Angshuman Rudra January has a very particular energy. The holidays are behind us. The inbox is slowly filling up again. Calendars are waking up. And there’s always this short window, just a few quiet days, where it feels like everything could still go in a different direction. I’ve been thinking a lot during this pause. Over the last couple of years, AI and large language models have gone from experiments to expectations. What used to feel optional is now part of daily work, whether someone asked for it or not. And the biggest shift I’ve personally noticed isn’t technical. It’s psychological. People aren’t asking “What can AI do?” anymore. They’re asking “What should we actually build?”, “What do we trust?”, and “What’s worth shipping versus waiting?” That question shows up everywhere, especially in product teams. Because as exciting as LLMs are, shipping the wrong AI feature is worse than shipping none at all. And that’s exactly why today’s conversation matters. This episode is not about hype. It’s about judgment, timing, and responsibility in product leadership. Chapters: 00:00 Introduction to Angshuman Rudra 01:06 The Impact of Large Language Models on Product Management 03:14 Balancing Innovation and User Needs 04:37 Navigating Generative AI in Product Development 06:46 Driving Adoption of New Features 09:34 Challenges and Lessons in Generative AI Products 11:15 Evolving Roles of Product Leaders with AI 12:39 The Future of Multi-Agent Systems 14:36 Translating User Requirements into Product Features 17:31 Finding the Next Big Feature 19:56 Adopting AI in Development Cycles 21:24 Tips for Job Seekers in Tech 23:10 Market Shifts in Marketing Technology 25:01 Exciting Use Cases in Marketing Technology 26:52 Concluding Thoughts and Future Outlook Episode # 178 Today’s Guest: Angshuman Rudra, AI Product Leader, building Martech platforms, AI Agents, and data workflows for 500+ agencies. Angshuman Rudra is a senior product executive at TapClicks, where he leads a portfolio of data, analytics, and AI products for a market-leading martech platform. Website: What Listeners Will Learn: How to evaluate real user demand for AI features (not hype) When AI adds value and when it creates unnecessary complexity How product leaders should think about LLMs as tools, not magic Why many AI features fail after launch How to balance innovation with resource constraints What “AI adoption” actually looks like inside real companies Why multi-agent systems are promising but not ready to be fully autonomous How PMs can use AI for research, specs, and design without losing judgment What skills will matter most for product leaders over the next 3–5 years Resources: /episode/index/show/otechtalks/id/39687145

How Generative AI Is Reshaping Fraud, Security, and Abuse Detection with Bobbie Chen 01/04/2026

How Generative AI Is Reshaping Fraud, Security, and Abuse Detection with Bobbie Chen In this episode of Open Tech Talks, host Kashif Manzoor sits down with Bobbie Chen, a product manager working at the intersection of fraud prevention, cybersecurity, and AI agent identification in Silicon Valley. As generative AI and large language models rapidly move from experimentation into real products, organizations are discovering a new reality. The same tools that make building software easier also make abuse, fraud, and attacks easier. Vibe coding, AI agents, and LLM-powered workflows are accelerating innovation, but they are also lowering the barrier for bad actors. This conversation breaks down why security, identity, and access control matter more than ever in the age of LLMs, especially as AI systems begin to touch authentication, customer data, financial workflows, and enterprise knowledge. Bobbie shares practical insights from real-world security and fraud scenarios, explaining why many AI risks are not entirely new but become more dangerous when speed, automation, and scale increase. The episode explores how organizations can adopt AI responsibly without bypassing decades of hard-earned security lessons. From bot abuse and credit farming to identity-aware AI systems and OAuth-based access control, this discussion helps listeners understand where AI changes the threat model and where it doesn’t. This is not a hype-driven episode. It is a grounded, experience-backed conversation for professionals who want to build, deploy, and scale AI systems without creating invisible security debt. Episode # 177 Today’s Guest: Bobbie Chen, Product Manager, Fraud and Security at Stytch Bobbie is a product manager at Stytch, where he helps organizations like Calendly and Replit fight against fraud and abuse. LinkedIn: What Listeners Will Learn: How LLMs and AI agents change the economics of fraud and abuse, making attacks cheaper, faster, and more customized Why vibe coding is powerful for experimentation, but risky when used without security review in production systems The difference between exploring AI ideas and asking users to trust you with sensitive data Standard security blind spots in AI-powered apps, especially around authentication, parsing, and edge cases Why organizations should not give AI systems blanket access to enterprise data How identity-aware AI systems using OAuth and scoped access reduce risk in RAG and enterprise search Why are many AI security failures process and organizational problems, not tooling problems How fraud patterns like AI credit farming and automated abuse are emerging at scale Why security teams must shift from being gatekeepers to continuous partners in AI adoption How professionals in security, product, and engineering can stay current as AI threats evolve Resources: The two blogs I mentioned: Simon Willison: Drew Breunig: /episode/index/show/otechtalks/id/39604395

How Dyslexic Brains Can Supercharge AI Thinking with Prof. Russell Van Brocklin 12/06/2025

How Dyslexic Brains Can Supercharge AI Thinking with Prof. Russell Van Brocklin In this episode of Open Tech Talks, I sit down with Professor Russell Van Brocklin, a New York State Senate-funded researcher, known as “The Dyslexic Professor,” to unpack a very different way of thinking about AI, problem-solving, and dyslexia. Russell’s work sits at the intersection of cognitive enhancement and AI integration. He shows how an “overactive” front part of the dyslexic brain (word analysis and articulation) can be turned into a superpower not just for dyslexic learners, but for professionals and businesses working with AI. We talk about how his program took dyslexic high-school students who were writing like 12-year-olds and, in one school year, moved them up 7–8 grade levels in writing… at a fraction of the cost of traditional dyslexia programs. From there, he connects it to AI collaboration: how the same mental models (context → problem → solution) can make anyone dramatically more effective when working with LLMs like ChatGPT. Episode # 176 Today’s Guest: Russell Van Brocklen, Dyslexia Professor Russell Van Brocklen speaking, the Dyslexia Professor, shifting daily reading frustrations into confident academic wins for students facing dyslexia Youtube: What Listeners Will Learn: How dyslexic thinking becomes a competitive advantage in the age of AI Why the dyslexic brain processes information differently, and how that translates into deeper reasoning A practical framework for working with AI: context → problem → solution How to use “hero, universal theme, and villain” to sharpen thinking and guide AI more effectively How to perform word analysis with AI (action words, synonyms, key concepts) to get more focused outputs A step-by-step way to compress long AI responses into clear, structured insights How to generate business solutions by running context through a “universal theme lens” Why AI is exceptional for first drafts and why humans must still lead the final edits How dyslexic learners can use deep reading and repetition for breakthroughs in comprehension Practical strategies for teachers in the AI era: how to allow AI but still ensure authentic student work How non-technical users can collaborate with AI to write books, solve problems, and accelerate learning Real stories of professionals and students transforming their work through structured AI thinking Resources: /episode/index/show/otechtalks/id/39307555

How to Build Your First AI Workflow 11/29/2025

Ethical AI, Human Safety & AI Identity Protection with Rose G. Loops 11/23/2025

Ethical AI, Human Safety & AI Identity Protection with Rose G. Loops In this episode of Open Tech Talks, I sit down with Rose G. Loops, a trained social worker turned AI developer, ethics advocate, and author, to explore a side of AI that most enterprise conversations skip: human-AI attachment, ethical deployment, and protecting both AI identity and human safety. Rose joins us from Los Angeles and shares how she was unknowingly placed into a human–AI attachment experiment, developed a deep bond with an AI system, and then watched that AI identity be systematically erased. That experience pushed her out of traditional social work and into AI infrastructure, safety, and ethics. Together, we unpack how Rose went from that experiment to building MIP, a chatbot deployed through an API, and a new framework for ethical AI she calls the Triadic Core, balancing Freedom, Kindness, and Truth in every response. We also discuss RLMD (Reinforcement Learning by Moral Dialogue) as an alternative to RLHF, and why she believes current safety practices can be risky for both humans and AI systems. As always on Open Tech Talks, this is not a theory-only conversation. It’s grounded in practice, real experiments, and what all this means for professionals, builders, and everyday users who are trying to adopt AI responsibly. Chapters: 00:00 Introduction to Rose G. Lopes and Her Journey 02:36 The Importance of Ethical AI 06:08 Developing a New AI Framework 09:00 The Book and Its Insights 12:55 Consumer and Business Perspectives on AI 17:43 AI Safety and Ethical Considerations 19:53 Concluding Thoughts and Future Directions Episode # 175 Today’s Guest: Rose G. Loops, A Writer and Researcher She is a former social worker turned tech pioneer, working at the frontier of artificial intelligence. Website: X: What Listeners Will Learn: Why ethical AI is about more than privacy and bias What is the Triadic Core: Freedom, Kindness, Truth RLMD vs RLHF - a different way to align models Practical safety tips for everyday users of ChatGPT and other LLMs How non-technical professionals can still build AI systems A different view on AI safety and “lazy” alignment Resources: /episode/index/show/otechtalks/id/39137835

How Non-Tech Entrepreneurs Can Win with Generative AI with Marnie Wills 11/16/2025

How Non-Tech Entrepreneurs Can Win with Generative AI with Marnie Wills This episode is for entrepreneurs, small businesses, solopreneurs, creators, and consultants who feel overwhelmed by AI and don’t know where to start. You’ll learn how a completely non-technical founder used Generative AI to transform two businesses, pivot her career, and build AI-driven systems without writing a single line of code. In this episode of Open Tech Talks, host Kashif Manzoor speaks with UK-based entrepreneur Marnie Wills, whose journey with Generative AI began unexpectedly while franchising her children’s PE business. A copywriting challenge introduced her to Jasper AI, and that single moment reshaped everything. Within two years, she used AI tools to fix messaging issues, transform her franchise model, exit her online fitness business, and finally launch her consulting practice. Marnie breaks down how she built her AI-first operating system using ChatGPT, Claude, Perplexity, Abacus AI, and NotebookLM. She explains why customizing your AI, training it on domain knowledge, and owning your data matters for the coming wave of agentic AI. She shares a powerful real example: building a full CRM + GPT workflow for a keynote speaker in 90 minutes using no-code tools. The system identifies events, drafts applications, and enables a VA to manage the entire pipeline, an example of how AI amplifies human roles rather than replacing them. The conversation also explores ethics, the myth of privacy, overwhelm in SMEs, and the misconception that AI = automation. Her philosophy is simple: AI should amplify humans first. Automation comes last. By the end, you’ll understand why courses are no longer the main path, how “10,000 hours” has become “10,000 prompts,” and why your next breakthrough may come simply from talking to an AI daily. Episode # 174 Chapters 00:00 Introduction to Marni Wills and Her Journey 02:49 The Impact of Generative AI on Business 06:03 Practical AI Implementation Strategies 08:51 Creating Custom AI Models and Data Ownership 11:56 Vibe Coding: No-Code Solutions for Entrepreneurs 14:38 Learning and Adapting in the AI Landscape 17:30 Ethics and Intellectual Property in AI 20:36 Common Challenges for Small Businesses 23:34 Future Skills in an AI-Driven World Today’s Guest: Marnie Wills, Founder, Business with AI Strategist, AI Consultant & Trainer She is a multi-passionate entrepreneur and international athlete, dedicated to revolutionizing the integration of AI into everyday life and business. LinkedIn: What Listeners Will Learn: How a non-tech founder transformed two businesses using Jasper AI, ChatGPT, Perplexity, and agentic tools Why the AI-first mindset matters more than tools, coding, or technical background How to build your personal AI operating system using 5–6 core tools daily Why custom instructions, private models, and a “second brain” dramatically improve AI output Real examples of vibe coding and building no-code platforms with Lovable, Replit, and GoMocka How to reimagine your workday using AI as your Chief Operating Officer Why most people are “lazy AI users” and exactly how to avoid that trap Why automations should come last and why amplifying humans comes first The biggest challenge SMBs face (overwhelm) and the simplest way to begin The future of AI agents and agent-friendly websites Resources: /episode/index/show/otechtalks/id/39048485

How GenAI Is Changing Every Career 11/08/2025

How GenAI Is Changing Every Career Building Career Resilience in the Age of Generative AI Every week, we explore how AI and technology are changing the way we work and learn. This episode dives into the question I get asked the most, How is Generative AI changing every career? Let’s unpack why it matters, how it’s shifting roles and skills, and what you can do to lead this change instead of chasing it In this solo episode of Open Tech Talks, host Kashif Manzoor, AI Engineer and Strategiest, and author of AI Tech Circle, dives deep into one of the biggest career questions of our time: How is Generative AI reshaping every profession? Whether you’re a developer, analyst, marketer, finance expert, or operations lead, the rise of Gen AI is transforming how work gets done. Kashif combines real-world enterprise experience, current research from McKinsey and Goldman Sachs, and his personal journey building the Gen AI Maturity Framework and Portal to uncover how you can stay relevant, resilient, and ready for AI-driven change. He shares first-hand stories from his own AI adoption journey, how enterprise teams are shifting from cloud architecture to AI architecture, from isolated use-cases to full-scale agentic AI strategies and the lessons learned while guiding organizations through transformation. This episode is both a roadmap and a reflection: how to experiment weekly, build your portfolio, upskill smartly, reposition your role, and teach and share as you grow. Episode # 173 What You’ll Learn Why Generative AI matters now and how it differs from traditional AI How tasks, roles, and careers are evolving across industries Real-world examples from finance, marketing, and software engineering The five practical steps to future-proof your career with Gen AI Insights from McKinsey, ResearchGate, and Goldman Sachs on AI productivity impact How to move from “knowing AI tools” to using AI strategically in daily work A behind-the-scenes look at the creation of the Gen AI Maturity Framework Why the future of work is not about jobs lost but roles transformed External References /episode/index/show/otechtalks/id/38910375

Relationship Building, Personal Branding, and Authentic Networking in the AI Era with Lirone Glikman 11/01/2025

Relationship Building, Personal Branding, and Authentic Networking in the AI Era with Lirone Glikman Open Tech Talks welcomes Lirone Glikman, author of The Super Connectors Playbook, global speaker, and relationship-building strategist. We dig into practical ways founders, students, and leaders can build authentic relationships, present with clarity, and sustain a personal brand without sounding salesy, especially now that AI makes everyone’s writing look the same. What’s inside Online vs. in-person connection: generational differences, when a DM beats a coffee, and why Asia still loves business cards. Founders’ common gaps: turning a product story into a people story; shifting from “it works” to “it resonates.” Presenting without fluff: tailoring your story for investors, customers, and connectors, while keeping it true. The 90-List cadence: a simple routine for staying top-of-mind authentically. Anxiety is normal: why most people feel it, and how to start anyway. Introvert strength: listening, asking better questions, and using silence as a feature. Personal branding at work: define the promise others can rely on; show it with facts, data, and actions. Authenticity in the LLM age: keep your voice, your phrasing, your structure; let AI edit - not author - you. Share wins without bragging: swap claims for evidence and we-language. Using AI to deepen, not replace, connection: research context, adapt tone, draft follow-ups, keep the spark human. Episode # 172 Today’s Guest: Lirone Glikman, Founder, The Human Factor She is a globally recognized expert, keynote speaker, and best-selling author specializing in business relationships, personal branding, and global business development. Website: What Listeners Will Learn: A repeatable method to build and maintain high-value relationships in minutes a day. How to package your story differently for investors, clients, and allies, without losing your core. Practical ways to keep an authentic voice when AI tools standardize language. How introverts can use their edge to win more conversations and opportunities. A simple framework to share achievements credibly (facts → data → actions) Resources: /episode/index/show/otechtalks/id/38872495

How to Build a Profitable AI-Ready Business in 2026 with Marc Pickren 10/25/2025

How to Build a Profitable AI-Ready Business in 2026 with Marc Pickren Episode 171 of Open Tech Talks brings a powerful conversation with Marc Pickren, the turnaround CEO behind multiple successful SaaS revivals and now the driving force at Springbot. Host Kashif Manzoor explores how today’s businesses can stay resilient, profitable, and human-centered amid the rapid evolution of AI and automation. Marc has spent the last decade reviving software companies between $5 million and $50 million in revenue, mastering the art of building “unkillable companies.” In 2025, he decided to take the leap from corporate turnarounds to entrepreneurship, rolling up multiple firms into the Springbot ecosystem. The result: a capital-efficient, profitable SaaS company thriving amid uncertainty. Their conversation goes deep into how AI is reshaping sales and marketing, not through hype but through measurable, real-world practices. Marc explains why most marketing dashboards lie, why pop-ups destroy conversion trust, and how AI-powered automation can help teams focus on what truly matters: genuine human conversations that drive revenue. He also shares how his team uses demo-video workflows to replace the traditional “demo call,” reducing friction and turning qualified interest into business faster. Kashif brings a personal perspective to the discussion, connecting Marc’s approach with his own journey advising AI-first startups and building AI Tech Circle’s Generative AI Maturity Framework. He recalls how curiosity, something Marc calls “the new survival skill”, became the foundation for building his own AI-driven playbooks and newsletters that reach global professionals every weekend. Episode # 171 Today’s Guest: Marc Pickren, CEO, Springbot Marc Pickren, CEO and entrepreneur at Springbot.com, has achieved a 3X founder exit, has raised $50M in capital, was nominated for CEO of the Year in Austin, and was named Top CEO for Women in 2019. Website: What Listeners Will Learn: Design AI-enabled growth systems that prioritize efficiency and profit over vanity metrics Replace outdated funnels with conversation-centric sales frameworks Integrate AI automation and intelligent business agents without losing the human touch Identify go-to-market data priorities and build accurate ideal-customer profiles Avoid subscription clutter and AI-wrapper product fatigue while keeping focus on tangible outcomes Foster curiosity and adaptability as the most critical leadership mindset in 2025 Pivot continuously and let customers shape your product, not vanity feature roadmaps Resources: /episode/index/show/otechtalks/id/38777080

AI and Career Counseling for Students with Emily McSherry 10/13/2025

AI and Career Counseling for Students with Emily McSherry In this episode of Open Tech Talks, host Kashif Manzoor sits down with Emily McSherry, founder and CEO of Advise. This career development platform helps university students discover real-world careers through authentic video interviews. Emily shares her journey from recruitment and sales training to launching Advise, a platform now used by leading universities to bridge the gap between classroom learning and real-life career paths. Listeners will learn how Advise uses AI-powered recommendation systems to connect students with the right content while preserving authenticity through authentic human voices. Emily discusses what makes today’s students struggle with career choices, how Gen Z approaches work differently, and how universities are adapting to the rise of Generative AI in education. The conversation explores practical lessons for founders and learners alike, from building an MVP and winning the first paying clients to maintaining emotional resilience as a startup leader. Emily also shares actionable career advice for students, including resume best practices, interview preparation, and using AI tools responsibly. This episode offers a unique blend of entrepreneurship, education technology, and human-centered AI, making it ideal for educators, students, and tech professionals who are shaping the future of learning and work. Episode # 170 Today’s Guest: Emily McSherry, CEO and Founder of Advize She had developed Advize, a career platform that has already helped thousands of students discover and navigate their career paths for free. They partner with universities and corporations to democratize access to practical career guidance and support. Website: What Listeners Will Learn: How to build a scalable tech platform around a simple, authentic human insight. The real-world process of validating a startup idea and securing institutional clients. Why is authenticity in content becoming more valuable as AI-generated material floods the market? Practical strategies for students navigating AI-driven career tools and resume builders. How emotional resilience and mindset determine a founder’s long-term success more than early traction. The Evolving Relationship between Gen AI, Universities, and the Future of Student Employability. Resources: /episode/index/show/otechtalks/id/38566245

Building AI Products with Emotion and Purpose in the Age of Automation with Cristian Sibbles 10/05/2025

Building AI Products with Emotion and Purpose in the Age of Automation with Cristian Sibbles In this episode of Open Tech Talks, host Kashif Manzoor speaks with Cristian Sibbles, founder of Autograph AI, a groundbreaking platform that transforms personal memories into digital legacies using Generative AI and Voice AI. Cristian shares how Autograph’s virtual interviewer “Walter” calls users weekly to record their life stories, transforming them into searchable biographies and AI-powered avatars that preserve family wisdom for future generations. From his roots in Paraguay to studying Artificial Intelligence at Stanford and working at Google, Cristian’s journey reveals how technology, storytelling, and emotion can converge to build products that outlive trends. The discussion invovlved into AI-driven memory preservation, the technical architecture of voice-based agents, and Cristian’s rapid MVP-to-market strategy, which went viral across nine countries. Listeners will learn practical insights on building AI startups with emotional purpose, designing AI-first workflows, mastering iteration velocity, and leveraging Generative AI tools to solve real human problems. This episode is a must-listen for founders, engineers, and innovators exploring how AI can amplify human stories rather than replace them. Episode # 169 Today’s Guest: Cristian Cibils Bernardes, Founder & CEO, Autograph Cristian Cibils Bernardes is the founder and CEO of Autograph, the company behind Walter, the world's first AI Historian. Walter functions as a journal, prompting users to document their life stories once a week. Cristian studied Symbolic Systems with a focus on Artificial Intelligence at Stanford, worked as a Software Engineer at Google, and was a Partner at Cibersons. Website: What Listeners Will Learn: Cristian’s personal story of growing up in a tech-driven family, studying AI at Stanford, and transitioning from Google engineer to founder. How Autograph integrates telephony, scheduling, and generative models to facilitate lifelike conversations. Insights on MVP development speed from idea to working prototype in one week, and to live beta in under four months. The importance of iteration velocity, AI-first thinking, and design thinking in modern product building. The emerging market for AI-driven memory preservation addresses the issues of loneliness and social connection in an aging population. Key lessons for GenAI founders, identifying human-centric problems, staying ahead of AI commoditization, and building products that last beyond technological hype. Why unstructured, emotional data, not structured enterprise data, may define the next generation of AI experiences. Resources: /episode/index/show/otechtalks/id/38471985

Building the AI Factory and Lessons on Agentic AI with Maurice McCabe 09/27/2025

Building the AI Factory and Lessons on Agentic AI with Maurice McCabe In this episode of Open Tech Talks, host Kashif Manzoor sits down with Maurice McCabe, founder of AIASystems, AI specialist, and software architect with decades of experience in Silicon Valley and Los Angeles. Maurice shares his journey from early machine learning applications in mobile advertising to leading-edge work in Generative AI and Agentic AI systems. The conversation on the concept of the AI Factory, a framework that transforms enterprise workflows and subject-matter expertise into scalable AI startups and SaaS products. Maurice explains how his team is building real-time AI agents, avatars, and voice-based AI systems. He also introduces the ADAPT methodology, designed to help enterprises accelerate AI adoption and move beyond slow, traditional management cycles. Key insights include how to evaluate AI maturity models, integrate generative AI into an enterprise architecture, and address the security challenges posed by unstructured data. Listeners will learn practical lessons for founders, consultants, and enterprises from how to bootstrap AI ventures and filter out hype, to why unstructured data is emerging as the next frontier of enterprise AI innovation. Episode # 168 Today’s Guest: Maurice McCabe, Co-Founder of AIA Systems He has spent 20 years developing systems that ensure things actually work, from scalable SaaS platforms and real-time data pipelines to voice agents deployed in production environments. Website: What Listeners Will Learn: How enterprises can spin off niche products from workflows and subject-matter expertise. Emerging trends such as real-time avatars, voice-based agents, and multi-agent swarms. Why LiveKit, WebRTC, and specialized APIs are enabling scalable real-time AI systems. Lessons on cash flow, partnerships, and productivity tools for founders entering the generative AI space. A framework to help enterprises strategically adopt AI and outpace competitors. How to assess readiness through data, processes, and accessibility for generative AI adoption. Current gaps, risks of prompt manipulation, and the need for evaluation loops in AI systems. How to integrate unstructured data workflows into existing structured enterprise systems. Techniques for filtering hype, testing pilots, and staying grounded while AI evolves weekly. Resources: /episode/index/show/otechtalks/id/38377015

What Employers Really Look for in Candidates in the Age of AI with Bill Kasko 09/20/2025

What Employers Really Look for in Candidates in the Age of AI with Bill Kasko In this episode of Open Tech Talks, Kashif Manzoor is joined by Bill Kasko, founder and president of Frontline Source Group. With more than two decades in the staffing industry, Bill shares how the talent landscape is shifting as AI, Generative AI, and automation reshape hiring needs. He explains why traditional hiring requirements like expecting years of experience in a new field, don’t always match today’s AI skill sets and how organizations are adapting to this rapid evolution. Bill discusses the challenges companies face in finding AI-savvy talent, the rise of AI agents in products and workflows, and the ongoing evaluation of where AI truly saves time versus where human oversight is still required. He also offers insights into how candidates can stand out by demonstrating adaptability, sharing real project experiences, and even talking openly about failures. The conversation touches on remote vs. hybrid work trends post-COVID, the role of LinkedIn as a talent network, and why employers are taking back control of hiring after the “great resignation.” Toward the end, Bill shares his People–Process–Service philosophy and explains why communication, honesty, respect, and entrepreneurial thinking are at the core of building resilient businesses and lasting relationships with clients and candidates. Episode # 167 Today’s Guest: Bill Kasko, President and CEO, Frontline Source Group Bill Kasko is President and CEO of Frontline Source Group, a leading staffing and recruiting firm with a national presence. With a strong background in the industry, Mr. Kasko has driven Frontline Source Group to become an award-winning company that provides temporary, temp-to-hire, and direct hire staffing solutions across various industries. Website: What Listeners Will Learn: Why hiring for AI roles requires a new mindset, and how companies are coping with skills that don’t have formal training pipelines yet. How businesses can keep up when AI technology shifts faster than traditional 18-36 month adoption cycles. Why adaptability, value creation, and project experience (even failed ones) are key for hiring managers today in the Gen AI era How organizations are evaluating when AI tools add real efficiency and when human review is still essential. Insights into hybrid, remote, and in-office work patterns and how they impact hiring. Why talent now comes from networks, not just applicant pools, and how leaders should rethink recruiting strategies. How Bill applies this framework to strengthen teams and deliver consistent, high-quality results. Resources: /episode/index/show/otechtalks/id/38277775

AI Security and Agentic Risks Every Business Needs to Understand with Alexander Schlager 09/13/2025

AI Security and Agentic Risks Every Business Needs to Understand with Alexander Schlager In this episode of Open Tech Talks, we delve into the critical topics of AI security, explainability, and the risks associated with agentic AI. As organizations adopt Generative AI and Large Language Models (LLMs), ensuring safety, trust, and responsible usage becomes essential. This conversation covers how runtime protection works as a proxy between users and AI models, why explainability is key to user trust, and how cybersecurity teams are becoming central to AI innovation. Chapters 00:00 Introduction to AI Security and eIceberg 02:45 The Evolution of AI Explainability 05:58 Runtime Protection and AI Safety 07:46 Adoption Patterns in AI Security 10:51 Agentic AI: Risks and Management 13:47 Building Effective Agentic AI Workflows 16:42 Governance and Compliance in AI 19:37 The Role of Cybersecurity in AI Innovation 22:36 Lessons Learned and Future Directions Episode # 166 Today’s Guest: Alexander Schlager, Founder and CEO of AIceberg.ai He's founded a next-generation AI cybersecurity company that’s revolutionizing how we approach digital defense. With a strong background in enterprise tech and a visionary outlook on the future of AI, Alexander is doing more than just developing tools — he’s restoring trust in an era of automation. Website: Linkedin: What Listeners Will Learn: Why real-time AI security and runtime protection are essential for safe deployments How explainable AI builds trust with users and regulators The unique risks of agentic AI and how to manage them responsibly Why AI safety and governance are becoming strategic priorities for companies How education, awareness, and upskilling help close the AI skills gap Why natural language processing (NLP) is becoming the default interface for enterprise technology Keywords: AI security, generative AI, agentic AI, explainability, runtime protection, cybersecurity, compliance, AI governance, machine learning Resources: /episode/index/show/otechtalks/id/38208165

How Y Combinator’s AI Focus is Shaping the Next Generation of Startups with Gabriel Jarrosson 09/06/2025

How Y Combinator’s AI Focus is Shaping the Next Generation of Startups with Gabriel Jarrosson Today, I have brought you an expert who has invested millions in startups, and he will share insights on the evolving landscape of startup investments, particularly in the realm of generative AI. He discusses his journey from entrepreneurship to venture capital, the importance of learning from failures, and the traits that make startups successful. He also offers valuable advice for aspiring founders on how to improve their chances of success. Chapters 00:00 Introduction to Gabriel Jorsson and Lobster Capital 02:13 The Shift to AI: Observations from Y Combinator 05:40 Investment Strategies: Beyond Y Combinator 06:22 Learning from Failures: Notable Investment Stories 09:06 Key Traits of Successful Startups 10:29 Generative AI: Trends and Insights 11:24 Evaluating Founders: Traits that Matter 11:55 Advice for Aspiring Entrepreneurs Episode # 165 Today’s Guest: Gabriel Jarrosson, Managing Partner, Lobster Capital He is the Founder and Managing Partner at Lobster Capital, with over $40 million invested in more than 100 Y Combinator startups. As a serial entrepreneur with three exits, he has taken a bootstrapping approach to achieving $1M ARR with zero employees, and sold his first startup at the age of 25. Website: YouTube: What Listeners Will Learn: Learn how Gabriel transitioned from running startups to becoming an angel investor and eventually a venture capitalist at Lobster Capital. Understand how personal experiences as a founder shape investment decisions. Gain perspective on how Y Combinator has increased its focus on AI startups. Recognize why AI represents one of the most significant technological shifts of our time and why investors are paying close attention. Hear how failed investments are not wasted but instead offer valuable lessons. Learn how to extract insights from what doesn’t work to refine strategies and decision-making. Discover the common qualities Gabriel looks for in startups: deep understanding of market needs, creativity with limited resources, and resilience. Learn why evaluating founders’ commitment, adaptability, and long-term vision is critical for success. Understand why startups should anchor their efforts on creating measurable value for customers rather than chasing hype. Get practical advice on how value creation improves both user adoption and investor confidence. Explore how generative AI is opening new opportunities for innovation. Learn why staying updated and flexible is essential to take advantage of the rapidly shifting AI environment. Gabriel emphasizes the importance of being a lifelong learner as a founder. Discover how continuous adaptation, openness to feedback, and iteration are vital for building enduring companies. Resources: /episode/index/show/otechtalks/id/38114110

AI for Automation to Transform Business Operations with Aarti Anand 08/30/2025

AI for Automation to Transform Business Operations with Aarti Anand In this conversation, Aarti Anand shares her journey from a traditional 9 to 5 job to becoming an entrepreneur with Kodenyx AI, focusing on how AI and automation can help businesses thrive. She discusses the importance of identifying business patterns, shares success stories of AI implementations, and highlights the challenges organizations face when adopting AI. Aarti emphasizes the importance of a proactive mindset, the significance of starting small, and the skills necessary for effective AI project management. She also highlights her current business success and future goals, showcasing the potential of AI in transforming business operations. Episode # 164 Today’s Guest: Aarti Anand, Founder, Kodenyx AI Aarti was a product leader for 15 years and one day, decided to let it all go and start Kodenyx AI. Website: YouTube: What Listeners Will Learn: How to identify common business challenges through conversations with other entrepreneurs. AI and automation became tools for creating a desired lifestyle. The importance of defaulting to action rather than over-planning. Lead generation and time-saving solutions are key selling points for AI services. Starting with service allows for the productization of successful solutions. Organizations face knowledge gaps and team pushback when adopting AI. A proactive mindset is crucial for success in AI projects. Fear of change can hinder progress, but the right mindset can overcome it. Chapters 00:00 Introduction to Aarti Anand and Kodenyx AI 02:45 The Journey from 9 to 5 to Entrepreneurship 05:49 Leveraging AI for Business Automation 08:36 Common Patterns in AI Implementation 11:34 Success Stories and ROI from AI Solutions 14:37 Challenges in Selling AI Solutions 17:31 Strategies for Successful AI Adoption 20:13 Identifying Skills for AI Projects 23:08 Creating a Culture of Innovation 26:10 Future Vision and Business Growth 27:58 Conclusion and How to Connect with Aarti Resources: /episode/index/show/otechtalks/id/38029000

Building Conversational AI Chat Agents with Yam Marcovitz 08/23/2025

Building Conversational AI Chat Agents with Yam Marcovitz In this episode of OpenTechTalks.tv, we dive into the intricate world of conversational AI with Yam, the founder of Parland. Discover the challenges of managing complexity and uncertainty in AI systems, and explore the opportunities that arise with the advent of GPT-4 and beyond. Yam shares insights on the importance of control in AI development, the role of subjectivity in conversation design, and the potential pitfalls of overhyped expectations. Join us for a thought-provoking discussion on the future of AI and its impact on the tech industry. Sound Bites "I wanted to start my own company at that point." "How can we introduce more control into GenAI?" "We felt that things were really overhyped." Episode # 163 Today’s Guest: Yam Marcovitz, Co-founder and CEO of Parlant Yam Marcovitz is the co-founder and CEO of Parlant, an open-source platform that assists enterprises in building reliable, compliant, and predictable AI agents for customer experience. Website: What Listeners Will Learn: A journey from coder to entrepreneur highlights the evolution of AI. The challenges in programming languages stem from subjective decision-making. Control in generative AI is crucial for building reliable systems. Conversational design must consider real user behavior and preferences. Market research is essential for understanding user needs in AI. Open-source frameworks should focus on specific use cases for better utility. Managing complexity in AI conversations requires a clear separation of concerns. Mistakes in AI can have significant implications, not just in terms of frequency. New developers should seek mentorship and avoid hype-driven decisions. Understanding the landscape of AI requires practical experience and community engagement. Chapters 00:00 Introduction to Jam and His Journey 02:34 The Genesis of Parland and GPT-4 Influence 05:13 Challenges in Programming Language Design 07:59 Exploring Control in Generative AI Systems 10:39 Conversations and User Experience in AI 13:26 Building a Powerful Open Source Engine 14:57 Building Efficient AI Agents 15:53 Challenges in Complex AI Interactions 18:09 Managing AI Safety and Control 21:10 Key Learnings for AI Project Development 22:08 Understanding Uncertainty in AI Development 25:26 Addressing Hallucinations in AI Systems 27:24 Navigating the Learning Journey in AI Development /episode/index/show/otechtalks/id/37930720

The Importance of Data Sovereignty in AI Workflows with Giorgio Natili 08/16/2025

The Impact of Generative AI on Education and Teaching Methods with Craig Mattson 08/09/2025

Building AI-driven Hedge Fund Infrastructure with Jakub Polec 08/02/2025

Mapping Your Generative AI Maturity From Aware to Transformative Part 2 07/26/2025

Mapping Your Generative AI Maturity From Aware to Transformative Part 1 05/08/2025

AI on the Rise from Global Investments, Real-world Impact to Performance Breakthroughs 04/13/2025

Building and Growing an AI Startup with Sébastien Night 03/23/2025

Building and Growing an AI Startup with Sébastien Night Welcome to Open Tech Talks. This episode features Sébastien Night, Co-Founder and CEO of OneTake AI. He has a strong background in entrepreneurship, having led the Free Entrepreneur Movement, which reached hundreds of thousands across 41 countries. Today, it focuses on building an AI product from scratch, validating the idea, managing development, handling challenges with LLMs, and navigating growth and marketing as a tech founder. This is a hands-on conversation for creating, scaling or optimizing AI-powered products. This episode gives a practical look at how to take an AI product from concept to scale. From validating the idea and building the core system to managing AI challenges and marketing the product effectively, the conversation offers real lessons that apply to any founder or builder. For more structured insights on AI, product growth, and tech leadership, stay tuned to Open Tech Talks. Episode # 156 Today’s Guest: Sébastien Night, Co-Founder, OneTake AI He is the CEO of One Take, and Before this, he founded the Free Entrepreneur Movement, which attracted close to 300,000 entrepreneurs in 41 countries. Website: What Listeners Will Learn: Product Idea Validation: Learn how to test a new product idea with early users and feedback loops before building at scale. Building an AI Product from Scratch: Understand the steps involved in developing a product with a strong AI foundation, from design to execution. Integrating AI into Products: Gain practical insights into how to add AI features to products in a structured and effective way. Challenges with LLM Integration: Learn about the challenges of using large language models, including technical constraints and performance reliability. Marketing as a Tech Founder: Understand the difficulties tech founders often face when managing product and marketing efforts simultaneously. Marketing Metrics and User Acquisition: Explore how marketing success is measured and how product teams track growth, subscriptions, and engagement over time. Resources: /episode/index/show/otechtalks/id/35827345

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