"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,
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OPEN Tech Talks: AI worth Talking| Artificial Intelligence |Tools & Tips is a technology podcast hosted by Kashif Manzoor, with 197 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.
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Kashif Manzoor hosts OPEN Tech Talks: AI worth Talking| Artificial Intelligence |Tools & Tips, a technology show with 197 episodes published.
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Episode #195
How Small Businesses Can Win with AI Agents Before Enterprises Do with Anne Cantera
Jul 25, 202625 min
Artificial Intelligence is no longer just for large enterprises with massive IT budgets. Today, even the smallest businesses can automate repetitive work, improve customer service, and reclaim valuable hours using AI. Chapters: 00:00 Introduction to Anne Cantera 01:12 The Role of AI in Small Businesses 03:43 Identifying Problems in Small Businesses 06:41 Implementing AI Solutions 10:24 Tech Stack and Feasibility for Small Businesses 12:30 Driving Towards Workable AI Products 13:43 Adoption Challenges and Experiences 15:43 Measuring ROI in AI Implementations 18:07 Advice for Small Business Owners 19:40 Educating Yourself on AI 22:43 Public Perception of AI 24:09 Conclusion and Contact Information Episode # 146 Today's Guest : Anne Cantera, Founder, Elementyl Intelligence She is an AI and voice technology expert, conversation designer, and founder of Elementyl Intelligence Website: Elementyl Intelligence LinkedIn What Listeners Will Learn: Why small businesses may adopt AI faster than large enterprises How to identify business problems that AI can solve A practical framework for assessing AI opportunities When AI is the right solution and when it isn't How voice agents can automate customer interactions The benefits of AI-powered inbox and workflow automation How custom AI solutions are becoming affordable for SMEs Why ROI should drive every AI investment The importance of AI literacy for business owners How to become a better AI operator. Why monitoring and continuous improvement matter after AI deployment. Common mistakes businesses make when implementing AI. How to avoid misinformation and AI hype. Resources: Elementyl Intelligence Voice of AI - Free AI Education Platform Elemental Intelligence - AI Consulting for Small Business Reuven Cohen - Trusted AI Educator
The Future of AI Coding: Multi-Model Agents, Enterprise AI & Developer Productivity with Emilie Schario
Jul 18, 202632 min
Artificial Intelligence has completely transformed software development. What started with autocomplete has evolved into AI coding agents capable of building entire applications from simple prompts. But as organizations adopt these tools, new challenges emerge: cost, security, vendor lock-in, enterprise governance, and the future role of software engineers. Today's conversation isn't about one product. It's about understanding where software development is heading over the next few years. Joining me is Emilie Schario , VP of Engineering at Kilo , where she works on agentic engineering and multi-model AI developer tools. We discuss how enterprises should think about AI coding assistants, why relying on a single AI model may not be the future, how engineering teams should prioritize product development, and what both junior and senior developers need to do to stay relevant. Whether you're a developer, engineering leader, CTO, startup founder, or simply curious about AI transforming software engineering, this episode is packed with practical insights. Let's get started. Chapters: 00:00 Introduction to Emily Sherio and Kilo Code 04:13 The Role of Kilo in Developer Productivity 07:52 Choosing the Right AI Models for Development 12:24 Building Features that Matter 16:38 The Importance of Code Review and Feature Management 19:24 The Future of Development and AI Integration 25:59 The Necessity of Learning Coding Principles 30:16 Enhancing Security in Coding Tools Episode # 194 Today's Guest : Emilie Schario, VP of Engineering, Kilo She works on agentic engineering and multi-model AI developer tools Guests Links: LinkedIn What Listeners Will Learn: Why AI coding is moving toward multi-model architectures. The advantages and risks of proprietary AI coding tools. How organizations can reduce AI infrastructure costs. Why vendor lock-in is becoming an AI challenge. The future of developer productivity. Why code review is becoming more important than writing code. Product management lessons every startup should know. When to remove features rather than add more. Enterprise AI security challenges. How organizations can adopt AI without compromising security. Why prompt engineering is becoming a fundamental skill. Advice for junior developers entering the AI era. The importance of mentoring the next generation of engineers. Resources: Kilo - AI Developer Platform Prompts for Mere Mortals by Florian Hines
AI Skills Are the New Competitive Advantage with John Munsell
Jul 11, 202626 min
One lesson I've learned throughout my career, from enterprise architecture to cloud transformation and now Generative AI, is this. Every technology revolution follows the same pattern. At first, companies invest in technology. Later, they realize they should have invested in people. I've seen organizations spend millions on software while allocating almost nothing to learning. Then six months later they ask, "Why aren't people using the new platform?" The answer usually isn't difficult. People don't resist technology. People resist uncertainty. When employees understand how AI helps them become better, not replaced, they become curious. Curiosity leads to experimentation. Experimentation builds confidence. Confidence creates innovation. That's how real transformation happens. Today's conversation is about something that many organizations overlook. Not AI models. Not software. Not hype. We're talking about AI capability, the skill that will define the winners of the next decade. Let's begin. Episode # 193 Today's Guest : John Munsell, Chief Executive Officer, Bizzuka, Inc. John Munsell is the co-founder of Bizzuka, an AI consulting firm focused on artificial intelligence strategy and implementation. With a career spanning over 25 years in marketing, software development, financial services, and sales, John brings a wealth of experience to the AI industry. Website: Bizzuka What Listeners Will Learn: Why AI success depends more on people than technology The importance of AI skills across an organization Why giving employees AI tools isn't enough How organizations can measure AI capability The hidden cost of poor AI adoption Why AI training delivers long-term business value Common mistakes leaders make during AI transformation Practical ways to improve workforce AI readiness Why experimentation matters more than perfection How AI can increase productivity across every role Resources: Bizzuka
AI Success Starts Before AI: Fix Your Knowledge, Strategy, and Governance First with Abby Clobridge
Jul 5, 202625 min
One thing I've noticed after working with enterprise customers for more than 20 years is this. When AI projects fail, people usually blame the model. They blame ChatGPT. They blame the vendor. They blame the technology. But after sitting in hundreds of customer meetings, I rarely found AI itself to be the problem. The real problem was hidden somewhere else. The data was scattered. Nobody knew which document was the latest. Every department had its own tools. Everyone wanted AI, but nobody agreed on the business problem they were trying to solve. I remember one customer asking me, "Can AI search all of our knowledge?" My first question wasn't about AI. It was, "Where is your knowledge?" The room became quiet. Because the answer was: "It's everywhere." That conversation completely changed how I think about enterprise AI. Today we're going to discuss something that doesn't get enough attention. Not prompts. Not models. Not the latest AI announcements. We're talking about the foundation that determines whether AI becomes a competitive advantage—or an expensive experiment. Let's get started. Episode # 192 Today's Guest : Abby Clobridge, Founder and Fractional CIO of FireOak Strategies She's spent her career working with nonprofits, NGOs, foundations, and mission-driven businesses to solve a problem almost every organization faces but few can articulate: how to make technology actually work for people. Website: FireOakStrategies What Listeners Will Learn: Why AI projects fail before the first prompt is written The hidden connection between knowledge management and AI success How messy data reduces AI accuracy What AI readiness really means Why governance matters more than buying new AI tools How small businesses can compete with AI Practical ways organizations are using AI for automation Common mistakes leaders make when adopting AI How to build an AI strategy that lasts beyond today's hype The role of IT leaders in successful AI transformation Resources: FireOakStrategies
AI has changed the conversation. Not because machines suddenly became intelligent, but because millions of ordinary people suddenly gained access to something that felt extraordinary. I still remember when ChatGPT first became available. Like many people, I opened it with curiosity. I wasn't looking for shortcuts. I wanted to understand what was actually happening. Every week since then, I have spoken with founders, researchers, engineers, and business leaders from around the world. One thing became very clear. Technology changes quickly. People don't. Many businesses are still asking the wrong question. "How can AI do my work?" Instead, we should ask, "How can AI help me become better at the work only I can do?" That's a very different conversation. I've learned that AI can generate content. It can analyze data. It can write code. But it still cannot replace purpose. It cannot replace your experiences. It cannot replace your story. The companies that will succeed over the next few years won't simply use more AI. They will know how to combine technology with authenticity. Today's conversation is exactly about that. Not just where AI is going… …but where we, as humans, need to grow alongside it. Let's begin. Episode # 192 Today's Guest : Mona Bavar, Founder, BlueApples.ai She is a cultural innovator blending ancient wisdom with cutting-edge AI to transform how businesses tell their stories and shape the future. Website: BlueApples.ai What Listeners Will Learn: Why AI should amplify your uniqueness instead of replacing it How businesses can keep their authentic brand voice in the AI era Why knowing your "why" matters more than learning prompts Practical ways entrepreneurs can start using AI without losing their identity The future of AI in governance, search, agents, and business How to prepare for 2026 without chasing every new tool Resources: BlueApples.ai
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