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

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 FinalSpark What Listeners Will Learn: computation itself Resources: FinalSpark

Episode # 183 Today's Guest: Adriel Desautels, Founder & CEO, Netragard Adriel is a leader in cybersecurity with over 20 years of experience. Adriel founded Secure Network Operations and the SNOsoft Research Team, whose vulnerability research helped shape modern responsible disclosure practices. He later launched Netragard, pioneering Realistic Threat Penetration Testing, which he now call Red Teaming, and expanding into a broad range of security services. NetregardNetregard What Listeners Will Learn: automated scanningvolume and speedfalse sense of securitylimiting damage pathsnovel exploitation thinking Resources: Netregard

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. Strategic Advisors What Listeners Will Learn: Resources: Strategic Advisors

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. Arch-Experts What Listeners Will Learn: Resources: Arch-Experts

Chapters 00:00 Introduction to Kara Williams 01:53 Kara's Coaching Journey and Entrepreneurial Background 03:20 The Importance of a Simplified Tech Stack 05:51 Common Mistakes in Tech Selection 07:09 Exploring AI in Business 08:16 Creating the Proof First GPT 10:47 Learning and Executing with AI 12:04 Common Challenges Faced by Entrepreneurs 13:50 Guiding New Entrepreneurs 14:59 Misconceptions About Low Ticket Offers 16:18 Refining Messaging and Offers 17:29 The Role of Automation in Business 18:34 Understanding Automation Needs 19:36 Testing Freebies and Building Relationships 20:29 Lessons Learned in Business 21:20 Future Plans and Refinements 22:31 Final Tips for Entrepreneurs Episode # 180 Today's Guest: Kara Williams, Founder, GHL Mastery Academy She is the founder of GHL Mastery Academy, where she helps CEOs stop being the bottleneck in their business by turning their VA, OBM, or EA into a trained backend powerhouse. Kara WilliamsGHL Mastery Academy What Listeners Will Learn: Resources: Kara Williams

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. Black Dog Venture PartnersVC FastPitch What Listeners Will Learn: Resources: Black Dog Venture PartnersVC FastPitch

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. Angshuman Rudra What Listeners Will Learn: real user demandLLMs as tools, not magic Resources: Angshuman Rudra

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. Bobbie Chen What Listeners Will Learn: How, making attacks cheaper, faster, and more customizedvibe coding is powerful for experimentationThe difference betweenandauthentication, parsing, and edge casesnot give AI systems blanket accessidentity-aware AI systemsprocess and organizational problemsAI credit farming and automated abusecontinuous partners in AI adoptionstay current as AI threats evolve Resources: Bobbie Chenhttps://simonwillison.nethttps://www.dbreunig.com

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 RussellVan What Listeners Will Learn: competitive advantagecontext → problem → solutionword analysis with AIfirst drafts Resources: RussellVan

In this week's episode of Open Tech Talks, host Kashif Manzoor takes you through a convenient, real-world guide to building your first AI workflow, even if you are not technical. After last week's conversation (Episode 175) with Rose G. Loops on Ethical AI, Human Safety & AI Identity Protection, this episode returns to the foundations of GenAI adoption for professionals and enterprise teams. It also continues the learning from Episode 173, How GenAI Is Changing Every Career. Most people know how to write a prompt. Very few know how to connect AI to their real work. This episode solves that gap. Kashif breaks down the entire concept of an AI workflow into four simple building blocks: trigger → input → AI processing → action, and shows how ANY professional can build practical, repeatable workflows using ChatGPT, OCI Gen AI, Claude, Gemini, and more. You'll also hear four real enterprise examples from sales, finance, customer support, and legal, across industries. These examples are practical, repeatable, and immediately usable for working professionals, leaders, and teams starting their GenAI adoption journey. What You Will Learn in This Episode By the end of the episode, listeners will be able to: Understand exactly what an AI workflow is (with a simple formula) Identify the four components every workflow needs Choose the right triggers, inputs, and context for reliable AI output Use LLMs for summarization, classification, analysis, forecasting, and writing Turn repetitive tasks into automated workflows using No-Code tools Understand enterprise considerations: privacy, compliance, cost, integration Build a complete workflow using input → AI → output Apply AI to real departments: sales, finance, legal, customer support Start building repeatable AI processes that improve productivity every week Resources: Starter AI workflow Library

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. ThekloakedsignalRose G. Loops What Listeners Will Learn: Resources: Thekloakedsignal

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. MarnieWills What Listeners Will Learn: AI-first mindsetAI operating systemWhydramatically improve AI outputvibe codingChief Operating Officershould come last Resources: MarnieWills

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 McKinsey Global Institute – Generative AI and the Future of Work Deloitte – Generative AI and the Future of Work Goldman Sachs – How Will AI Affect the Global Workforce Robert Half – How GenAI Is Changing Creative Careers Mäkelä & Stephany (2024) – Complement or Substitute?

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:Founders' common gaps:Presenting without fluff:The 90-List cadence:Anxiety is normal:Introvert strength:Personal branding at work:Authenticity in the LLM age:Share wins without bragging:Using AI to deepen, not replace, connection: 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. LironeGlikman What Listeners Will Learn: build and maintainpackage your storyauthentic voicewin more conversationsshare achievements Resources: LironeGlikman

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. MarcPickren What Listeners Will Learn: AI-enabled growth systemsReplace outdated funnels withAI automationgo-to-market data prioritiesAI-wrapper product fatiguecuriosity and adaptability Resources: MarcPickren

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. Advizehub What Listeners Will Learn: The Evolving Relationship between Gen AI, Universities, and the Future of Student Employability. Resources: Advizehub

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. Autograph What Listeners Will Learn: MVP development speedThe importance ofin modern product building.lessons for GenAI founders,next generation of AI experiences Resources: Autograph

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. AIASystems What Listeners Will Learn: Resources: AIASystems

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. Frontline Source Group 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. Resources: Frontline Source Group

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. AIceberg.aiAlexander Schlager What Listeners Will Learn: Whyreal-time AI security and runtime protectionare essential for safe deploymentsexplainable AIrisks of agentic AIAI safety and governanceHoweducation, awareness, and upskillinghelp close the AI skills gapnatural language processing (NLP) Keywords: AI security, generative AI, agentic AI, explainability, runtime protection, cybersecurity, compliance, AI governance, machine learning Resources: AIceberg.ai