『Time4AI』のカバーアート

Time4AI

Time4AI

著者： Peter Mesarec - seos.si
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The Time4AI Show brings you the most important voices and ideas from the global artificial intelligence community. In every episode, top speakers from leading AI conferences and summits condense their presentations into a quick and insightful 5-minute format, making it easy to stay up to date with the latest AI research, tools, and applications. Hosted by Peter Mesarec, an experienced AI consultant at petermesarec.ai, this podcast is designed for professionals, researchers, and enthusiasts who want to keep pace with the rapid evolution of AI technologies. For questions or collaborations, reach out at info@time4ai.show.

We cover a wide range of trending topics in machine learning and artificial intelligence, including:

  • Large Language Models (LLMs) such as ChatGPT, OpenAI, Gemini, Copilot, Claude, and their integration into business workflows

  • Generative AI applications in content creation, marketing, customer support, and knowledge management

  • AI for SEO and GEO, focusing on how artificial intelligence transforms search engine optimization, online visibility, and location-based strategies

  • AI Agents and autonomous systems that streamline processes, automate decisions, and enable smarter organizations

  • Information retrieval and Retrieval-Augmented Generation (RAG) for more accurate, trustworthy, and context-aware AI outputs

  • Ethics and governance in AI, including transparency, bias, and responsible adoption in business and society

  • AI tools for business growth, from predictive analytics and automation to product innovation and digital transformation

Our guest list includes leading AI experts, data scientists, and innovators such as Gael Peigne, Giulia Solinas, Fatima Soomro, and many others who share hands-on experiences and insights into cutting-edge machine learning research, applied AI, and future trends.

Whether you’re curious about natural language processing, deep learning, multimodal AI, vector databases, AI-powered search engines, or enterprise adoption of artificial intelligence, this podcast is your shortcut to understanding how AI is shaping the future of technology, business, and human progress.

Tune in weekly to stay informed, inspired, and ready to implement the latest AI advancements into your own work and projects.

Copyright 2024 All rights reserved.
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  • #11 - The AI Manager: Decision-Making Without Delegation - Karlo Levak

    #11 - The AI Manager: Decision-Making Without Delegation - Karlo Levak
    2026/10/12

    Peter interviews Karlo Levak, head of software solutions delivery squad at Abysalto, about how generative AI is changing the managerial role. Carlo shares practical workflows—using tools like Claude, WhisperFlow and co‑work—to speed up analysis, run dictation during commutes, and make faster, better-informed decisions.

    He demonstrates real examples such as automated data sanitization in Excel, AI-driven codebase analysis, and creating reusable AI "skills" to mentor teams, and discusses tool choices, risks, and how managers can adopt these practices today.

    Subscribe to receive new episodes about AI conferences and check out the archive
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    28 分
  • #10 - $2B in 4 Days: How Alberta Rewrote a Legacy App with AI - John Annand

    #10 - $2B in 4 Days: How Alberta Rewrote a Legacy App with AI - John Annand
    2026/09/23

    In this episode Peter interviews John Anand from InfoTech Research about the Government of Alberta’s fast AI-driven transformation (read all about it on https://thevelocitywhitepapers.com/en/). John explains how a small internal team used AI coding tools to rewrite a legacy application in four days and deploy it to production within 18 days at a fraction of the expected cost.

    The conversation covers the $2 billion technical-debt context, the four-step guardrail program they built to scale safely, the workforce upskilling required, and where to find Alberta’s Velocity Papers on GitHub for detailed lessons learned.
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    20 分
  • #9 - Matheus Guimaraes - From Apps to Agents: When AI Should — and Shouldn't — Be Your Answer

    #9 - Matheus Guimaraes - From Apps to Agents: When AI Should — and Shouldn't — Be Your Answer
    2026/08/31

    In this episode I talk to Matheus, a Senior Developer Advocate at AWS, about the rise of agentic AI and how it fits into digital transformation. They discuss when to use traditional application architectures, when to adopt agentic systems, and the practical middle ground of smart APIs.

    Matheus emphasizes working backwards from requirements, weighing trade-offs like cost, maintainability, and operational complexity, and using spec-driven development tools such as Kiro and Kiro Crew to plan and accelerate delivery without falling for hype.
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    25 分
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