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

Kashif Manzoor
OPEN Tech Talks: Technology worth Talking| Artificial Intelligence |Tools & Tips

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-to's, 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: Interviews with industry experts Insights into the latest AI trends Best practices for using AI technology in your career Tips and tricks for troubleshooting AI problems Inspiration to learn more about AI Subscribe to Open Tech Talks today and start growing your career in technology! Additional details about the podcast: The podcast is available on all major platforms, including Spotify, Apple, and Google. New episodes are released every Saturday. Each episode of the podcast is about 30 minutes long. I hope you enjoy the podcast! The views expressed on this Podcast and blog are my own and do not necessarily reflect those of my current or previous employers.

  1. Mapping Your Generative AI Maturity From Aware to Transformative Part 1

    5月8日

    Mapping Your Generative AI Maturity From Aware to Transformative Part 1

    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/

    17 分钟

  2. 4月13日

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

    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

    16 分钟
  3. Building and Growing an AI Startup with Sébastien Night

    3月23日

    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: 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

    43 分钟

  4. 3月17日

    Generative AI Engagement Pyramid for Growing AI Inference

    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

    17 分钟
  5. Generative AI Risks and Governance: What Business Leaders Need to Know with Terry Ziemniak

    1月21日

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

    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

    25 分钟
  6. AI and Software Development: What Engineers Need to Know with Mayank Jindal

    2024/12/31

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

    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:

    23 分钟

  7. 2024/12/29

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

    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

    16 分钟

  8. 2024/12/01

    AI Tech Circle - Lets build AI Governance Framework for an organization

    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

    26 分钟
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关于

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-to's, 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: Interviews with industry experts Insights into the latest AI trends Best practices for using AI technology in your career Tips and tricks for troubleshooting AI problems Inspiration to learn more about AI Subscribe to Open Tech Talks today and start growing your career in technology! Additional details about the podcast: The podcast is available on all major platforms, including Spotify, Apple, and Google. New episodes are released every Saturday. Each episode of the podcast is about 30 minutes long. I hope you enjoy the podcast! The views expressed on this Podcast and blog are my own and do not necessarily reflect those of my current or previous employers.

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