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Generative AI Adoption Maturity Model The last two weeks' articles on the Generative AI adoption Maturity framework sparked discussion within the AI circle. Thank you for sharing the comments and feedback, and even triggering a few thought-provoking views on this topic. We have started a journey to develop a Gen AI Maturity Model or framework as a joint effort with a few organizations' colleagues, friends, and leadership teams. Earlier work: Where Are You on the Generative AI Maturity Curve? Generative AI Maturity Framework for Structured Guidance Why Maturity matters and levels of Gen AI Maturity model This week, we will continue this journey: Generative AI Maturity Model Overview The model defines six sequential levels and six dimensions. The full article with the slide is available here: https://www.otechtalks.tv/mapping-your-generative-ai-maturity-from-aware-to-transformative-part-1/…

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AI on the Rise from Global Investments, Real-world Impact to Performance Breakthroughs 16:08

8 weeks ago16:08

16:08

Welcome to this edition of AI Tech Circle, brought to you by Open Tech Talks, your briefing on the latest developments in AI technology, strategic deployment, and measurable impact. This week’s focus is on key takeaways from Stanford HAI’s 2025 AI Index Report , which is a comprehensive snapshot of the state of AI across investments, performance gains, enterprise integration, and national-level infrastructure initiatives. AI on the Rise: Global Momentum, Tangible Impact, and Breakthrough Performance The 2025 AI Index Report marks a clear inflection point in the AI timeline. With record-breaking capital inflows, widespread business adoption, and accelerating improvements in model capabilities, AI is no longer speculative. It’s operational. Costs are falling fast, governments are investing at scale, and productivity metrics are beginning to validate the economic promise. The era of “potential” has ended; the execution age is here. Read the full report at AI Tech Circle : https://aitechcircle.kit.com/posts/ai-on-the-rise-from-global-investments-real-world-impact-to-performance-breakthroughs…

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Building and Growing an AI Startup with Sébastien Night 43:21

11 weeks ago43:21

43:21

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: OneTake 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: OneTake…

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Generative AI Engagement Pyramid for growing AI Inference 16:32

12 weeks ago16:32

16:32

Welcome to your weekly AI Newsletter from AITechCircle ! I'm building and implementing AI solutions and sharing everything I learn along the way... Check out the updates from this week! Please take a moment to share them with a friend or colleague who might benefit from these valuable insights! Today at a Glance: Increasing the adoption and effective use of AI and Generative AI technologies in various use cases or business processes Generative AI Use cases repository AI Weekly news and updates covering newly released LLMs Courses and events to attend How to Grow AI/Generative AI Inference? This week, I read about Chet Holmes’s Buyer's Pyramid . This was my first time seeing it, and its source is ' The Larger Market Formula. ' Why did this get my attention? I am linking this to the situation of the Generative AI Landscape, which is going on in the market where we all started realizing sooner enough that whatever investment is Going on the AI Infrastructure is about what and how we will use it, and we need to have an AI Infrastructure in place to do the Inference. The full article read over here: https://aitechcircle.kit.com/posts/generative-ai-engagement-pyramid-for-growing-ai-inference…

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Generative AI Risks and Governance: What Business Leaders Need to Know with Terry Ziemniak 25:00

19 weeks ago25:00

25:00

Welcome to Open Tech Talks , where we explore AI, cybersecurity, and the evolving role of technology in businesses. In this episode, we speak with Terry Ziemniak, a Fractional CISO and Partner at TechCXO, who has worked with companies across the healthcare, retail, manufacturing, and government sectors. The discussion covers cybersecurity risks, strategies for companies of all sizes, the challenges of adopting Generative AI, and governance frameworks for mitigating AI-related risks. Whether you’re a business leader, security professional, or AI enthusiast, this episode provides practical insights into managing security in today’s rapidly changing digital landscape. Before going further, let's understand what these Fractional Roles are: Fractional leadership is an emerging trend that allows companies to hire high-level expertise without committing to a full-time executive role. For example, Fractional CISOs provide the same security leadership as traditional CISOs. Still, they are part-time or project-based, making cybersecurity expertise accessible to businesses that may not have the budget for a full-time role. By following the best security and AI governance practices, organizations can protect themselves against threats while leveraging technology to drive growth. Episode # 154 Today’s Guest: Terry Zimnick, Fractional CISO, Terry Ziemniak is a Partner in TechCXO’s Product and Technology practice. He is a cybersecurity leader sought by boards, investors, and senior management teams to assist healthcare, service organizations, retail, and manufacturing companies—as well as government agencies and contractors—in his role as a fractional CISO. Website: TechCXO Linkedin: Terry What Listeners Will Learn: Understanding Fractional Roles in Cybersecurity: How businesses leverage fractional Chief Information Security Officers (CISOs) for cost-effective security leadership. Cybersecurity Landscape: Current threats, vulnerabilities, and trends shaping cybersecurity in different industries. Security Practices in Large vs. Small Companies: The challenges faced by small and medium-sized businesses (SMBs) in implementing cybersecurity measures compared to larger organizations. Challenges in Adopting Generative AI: Key obstacles companies face when integrating AI and large language models (LLMs) into their workflows. Generative AI Risk and Governance: The importance of AI governance frameworks and how businesses can structure policies to ensure compliance and security. Cybersecurity Strategies for SMBs: Practical steps for small businesses to strengthen security and mitigate risks without requiring large budgets. Resources: TechCXO…

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AI and Software Development: What Engineers Need to Know with Mayank Jindal 22:48

22 weeks ago22:48

22:48

Welcome to Open Tech Talks . In this episode, we’re speaking with Mayank Jindal, a Software Development Engineer, about AI's evolving landscape and its impact on software engineering. From AI use cases to challenges in model development, we cover strategies for aligning AI solutions with business needs, tips for staying updated in this fast-paced field, and career advice for aspiring developers. Whether new to AI or looking to refine your skills, this episode delivers insights you can apply immediately. Large language models (LLMs) are transforming software engineering by automating code generation, debugging, and testing. They enable developers to accelerate workflows but require engineers to upskill and adapt. While AI reduces repetitive tasks, developers need to focus on designing architectures, validating outputs, and ensuring AI-generated code meets quality standards. This episode has covered AI's evolving role, its impact on software engineering, and strategies for addressing challenges in AI development. Episode # 153 Today’s Guest: Mayank Jindal, Software Development Engineer, Amazon He is a Software Engineer passionate about leveraging Artificial Intelligence to enhance the digital world. Linkedin: Mayank What Listeners Will Learn: Understand how large language models (LLMs) influence software engineers' role and reshape development workflows. Explore common challenges faced in AI development, including data quality, scalability, and performance optimization. Discover strategies for keeping up with the rapid advancements in AI and machine learning technologies. Gain practical tips for newcomers looking to start or grow their AI and software development careers. Learn methods for translating business requirements into effective AI and machine learning models and tips for overcoming common obstacles. Learn about real-world AI applications that are transforming industries and solving complex problems with AI Resources:…

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2024 Wrapping up a Year of Shared Learning and Growth in AI 15:50

23 weeks ago15:50

15:50

Welcome to your weekly AI Newsletter from AITechCircle ! I'm Building, Implementing AI solutions, and sharing everything I learn along the way... This week is a recap of 2024 with some of the key insights and the tools and recipes I have used or learned over the year with you as an AI community. Please take a moment to read and share this with a friend or colleague who might benefit from these valuable insights! Today at a Glance: How to start your journey of AI & Generative AI project implementations in your organization Generative AI Use Cases AI ethics and Governance AI Courses to attend Open Tech Talks with AI industry leaders Full Shownotes are available: https://aitechcircle.com/posts/2024-wrapping-up-a-year-of-shared-learning-and-growth-in-ai…

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AI Tech Circle - Lets build AI Governance Framework for an organization 25:45

27 weeks ago25:45

25:45

Dive into this week’s updates, and take a moment to share them with a friend or colleague who could gain from these valuable insights! Today at a Glance: AI Governance Framework AI Weekly news and updates covering newly released LLMs AI Governance Framework in Action A few months back, I had a chance to work with an organization. Their key question was, what should we be doing to ensure AI governance is in place? We had a long discussion on the AI Governance areas, starting with regulations and what any organization should be doing. I thought of expanding this topic and imagining myself as someone responsible for creating AI governance for an organization. What should I be following? So here are my steps and the artifacts for creating an AI Governance Framework or guidelines for a Model organization. I have shared these with them, and after a few sittings and conversations, an early version was ready to baseline as AI Governance Framework. I am sharing the initial work as, in reality, it was improved a lot. As a First Step: Before you start reading below, I strongly suggest you read these earlier editions: Diaries from the Field—Building Ethically Responsible AI Enterprise Solution Building a Game-Changing AI Strategy: Step-by-Step Guide and Exercises for Your Organization Now, it's best to start below: AI Governance Framework Creation: All the details are on this link: https://aitechcircle.com/posts/lets-build-ai-governance-framework-for-an-organization…

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Tips for Adopting AI and LLMs in Business: Lessons from Michael Vandi 36:16

27 weeks ago36:16

36:16

Welcome to Open Tech Talks , the podcast exploring the intersection of AI and business transformation. In this episode, we speak with the CEO of Addy AI, a cutting-edge solution that is reshaping loan processing and banking automation. The discussion covers everything from integrating AI with traditional banking tools to practical advice for implementing large language models (LLMs) in products and businesses. Plus, we'll share lessons learned from challenges faced along the way and insights for aspiring AI professionals. Loan processing has long been a time-consuming and error-prone task. Addy AI has redefined this process, automating key steps and reducing turnaround times. This transformation enables banks to process applications faster, improving customer experience while maintaining accuracy. Before using AI-driven tools like Addy AI, traditional methods often relied heavily on manual input and outdated workflows, significantly slowing down operations. Episode # 150 Today’s Guest: Michael Vandi, CEO, Addy AI Michael worked as CEO of Addy AI Website: Addy AI Twitter/X: Addy What Listeners Will Learn: Discover how AI applications like Addy AI revolutionize loan processing, making it faster and more efficient than traditional methods. Understand how AI solutions like Addy AI seamlessly fit into banks' existing tools and systems. Learn about the architecture of AI-powered solutions, providing a practical perspective on how they operate within real-world business environments. Gain insights into how AI agents enhance automation, decision-making, and efficiency. Receive actionable tips for leveraging large language models (LLMs) in business or product development. Explore a beginner-friendly framework for organizations looking to start their AI journey effectively. Learn about the common challenges encountered while working with LLMs and how to address them. Get advice on what skills and attributes stand out when hiring for AI-related roles. Hear about a valuable learning experience from a business challenge and how it shaped future strategies. Resources: Addy AI…

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AI Tech Circle - Diaries from the Field, Building Ethically Responsible AI Enterprise Solution 23:44

28 weeks ago23:44

23:44

Welcome to your weekly AI Newsletter from AITechCircle ! This newsletter has become an essential resource for me and many others in the AI community. It has practical insights that will immediately boost your work or business. Dive into this week’s updates, and take a moment to share them with a friend or colleague who could gain from these valuable insights! AITechCircle Today at a Glance: Behind the Scenes of writing this newsletter Insights from the Field: Creating Ethical AI Solutions for Enterprises Generative AI Use cases in the Health Care Industry AI Weekly news and updates covering newly released LLMs Courses and events to attend To Read the full episode over here: https://aitechcircle.com/posts/diaries-from-the-field-building-ethically-responsible-ai-enterprise-solution Read all the Edition of AI Tech Circle…

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Strategic AI Adoption for Businesses with Nick Jain 34:14

31 weeks ago34:14

34:14

In today's episode, we're tackling some of the most pressing topics in tech and business transformation, including strategies for AI integration, the evolving role of generative AI, and best practices for navigating ethical considerations in AI adoption. Joining us is the CEO of IdeaScale, a leader in innovation management who brings valuable insights into how AI can shape organizations' futures. In today's competitive landscape, companies must go beyond just adopting new technologies; they need a structured, goal-driven approach. From automating processes to offering actionable insights through data, AI can enable growth and scalability. Generative AI has quickly become one of the most influential technologies of the decade, but executives often need help with where to begin. Building an AI strategy for C-level decision-makers means identifying suitable applications for generative models and considering the long-term effects on the organization. Company's learning is critical here, as generative AI can amplify value or risk, depending on how it is implemented. Tune in to future episodes of Open Tech Talks for more discussions on AI Episode # 148 Today’s Guest: Nick Jain, CEO, Idea Scale Website: IdeaScale What Listeners Will Learn: Learn how IdeaScale transformed and adapted with new strategies, technologies, and leadership approaches to enhance innovation and operational success. Discover how AI has supported and influenced business functions, from optimizing workflows to enhancing data-driven decision-making. Gain expert recommendations on navigating the challenges and opportunities of Generative AI, including best practices for high-level decision-making. Understand key ethical and privacy considerations for responsibly implementing AI within any organization. Get insights on effectively introducing Generative AI use cases, aligning them with business goals, and overcoming implementation challenges. Learn about the productivity gains and efficiency improvements realized by integrating code generation with LLMs in development workflows. Find out how to effectively validate product ideas and new features with a structured approach to meet market needs. Gain practical tips for effectively marketing a startup or new product on a limited budget, focusing on maximizing impact. Learn strategies for recruiting and managing talent, fostering a team that aligns with organizational goals and culture. Hear proven strategies for identifying and discarding unhelpful or misleading business recommendations, maintaining focus on effective practices. Discover actionable steps for building leadership skills, from personal development practices to lessons learned from experience. Understand the techniques for navigating strategic management responsibilities and hands-on product development tasks. Resources: IdeaScale…

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How organizations can start the journey of AI with Mark Wormgoor 32:12

33 weeks ago32:12

32:12

This episode dives into how organizations can effectively harness AI to transform operations. We explore practical steps for starting an AI journey, discuss emerging use cases, and offer guidance on talent readiness. Whether you’re an executive leading AI initiatives or a professional looking to understand the evolving AI landscape, this episode provides valuable insights. AI implementation in organizations often begins with identifying specific pain points where AI can make a measurable impact. Starting small with focused projects allows companies to integrate AI tools into existing processes, ensuring smoother transitions and quicker results. This approach minimizes disruption while enabling scalability as the AI solution proves its value. A structured framework is essential for organizations starting their AI journey. It begins with assessing readiness, identifying areas with the highest potential for impact, and building a small-scale proof of concept. From there, scaling up based on early successes ensures a more sustainable and confident approach to AI adoption. This systematic method enables organizations to achieve quick wins while laying a solid foundation for long-term growth. Adopting AI does not require overhauling existing systems. Integrating AI into the current ecosystem can be done by leveraging cloud platforms, APIs, and other tools, allowing AI solutions to complement rather than replace existing technologies. This approach helps to minimize friction and optimize the value derived from AI implementations. This episode offers a detailed look into the practical aspects of AI implementation, providing actionable strategies for organizations to integrate AI into their processes. It covers everything from starting the journey to ensuring talent readiness and managing end-to-end operations. For more insights on AI and the latest tech trends, stay tuned to Open Tech Talks . Episode # 147 Today’s Guest: Mark Wormgoor, Founder/CEO, Tairi In 2022, after 25+ years in technology in the corporate world, Mark decided to start Tairi. Tairi originates from his passion for leadership in tech. Website: Tairi Linkedin: Tairi What Listeners Will Learn: Understand practical strategies for integrating AI into various business functions, from small-scale projects to enterprise-wide initiatives. Learn about a structured framework for organizations to kickstart their AI transformation, ensuring they avoid common pitfalls. Discover the most impactful AI applications in diverse industries, helping businesses stay ahead of the competition. Gain actionable tips for adopting AI solutions that fit seamlessly into current processes and tools. Explore the current landscape of AI skills and how companies can assess and upskill their teams for success. Look inside the critical skills and attributes a CTO seeks when building a strong AI team. Learn practical advice for handling multiple business functions while leveraging AI to streamline efforts. Resources: Tairi…

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Mastering Communication in the AI Era with expert Tips from TJ Walker 33:39

36 weeks ago33:39

33:39

In this week's Open Tech Talks, we had the pleasure of speaking with TJ Walker, the founder of Media Training Worldwide. With over 2 million students on Udemy and over 200 courses under his belt, He is a global expert in presentation techniques, media training, and communication skills. As the author of six books, including the USA Today #1 Bestseller "Secret to Foolproof Presentations," TJ shares his vast experience on how to elevate your communication skills—whether you're making media appearances, giving a presentation, or simply explaining complex ideas to a business audience. We started the conversation with TJ by exploring the rise of AI cloning - replicating one's expertise through AI-powered digital clones. Imagine having an AI version of yourself that can share your knowledge, answer questions, and provide personalized learning to millions, just like TJ's courses. The benefits of AI clones are immense, especially for professionals looking to scale their knowledge and impact globally without being physically present. Episode # 146 Today’s Guest: TJ Walker, Founder, Media Training Worldwide TJ Walker’s commanding digital presence is marked by over 2 million students on Udemy across more than 200 courses. He is the author of 6 books, including the USA Today #1 Bestseller “Secret to Foolproof Presentations” and “Media Training A to Z. Website: TJWalker Youtube: TJ Walker What Listeners Will Learn: AI Cloning and Expertise Sharing: Learn how AI clones revolutionize how experts share their knowledge and scale their impact. Before and After AI: Explore how adopting AI changes everything, from preparing for presentations to managing daily tasks in a business environment. Translating Tech Jargon for Business Users: Spekaer shares practical tips on breaking down complex technology concepts into language that business users can easily understand. Improving Your Presentation Techniques: He will give you actionable advice on how to make your next presentation more impactful, concise, and engaging. Learning Outcomes from Media Training Courses: Understand the key takeaways students gain from TJ's media training courses and how they apply them in real-world scenarios. Overcoming Fear in Media Appearances: Learn TJ's top strategies for overcoming fear of media appearances and public speaking and how to build confidence on camera. Resources: TJWalker…

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Building a Game-Changing AI Strategy: Step-by-Step Guide and Exercises for Your Organization 20:04

37 weeks ago20:04

20:04

Unlock AI's full potential in your organization with a game-changing strategy. This week, I will guide you through actionable steps and hands-on exercises to help your team develop an AI strategy that creates real impact and sets you apart from the competition. What does Chat GPT stand for: Chat Generative Pre-trained Transformer Full Episode Details are available on this link with the show notes: https://aitechcircle.com/posts/building-a-game-changing-ai-strategy-step-by-step-guide-and-exercises-for-your-organization Episode Number 145…

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From Multi-Cloud to AI: Key Takeaways from Oracle CloudWorld’s Latest Announcements 20:07

38 weeks ago20:07