Folgen

  • AI Adoption Is a Process Problem, Not a Tooling Problem (feat. Trehan Stenton)
    Oct 1 2026

    Takeaways from the Snowpal Podcast with Trehan Stenton, founder of AI Integration Partner

    Most organizations have already tried AI. They’ve drafted emails with ChatGPT, built slides with Claude, and maybe run a pilot or two. Many of those pilots quietly stalled. In this episode of the Snowpal Podcast, Krish talks with Trehan Stenton, who helps multi-location and growing businesses turn strategy into process and then uses AI and change management to make those changes stick. His main argument: when AI implementations fail, the tool is rarely the cause. The usual causes are unclear processes, messy data, missing governance, and people who were never told why the change is happening.

    Mehr anzeigen Weniger anzeigen
    1 Std. und 8 Min.
  • [Paid Course] Snowpal Education: Navigating the Home Buying Process
    Sep 16 2026

    Learn how to navigate the home-buying process with confidence. This course covers budgeting, renting vs. buying, property types, working with real estate agents, commissions, online search tools, and negotiation strategies to help you make informed home-buying decisions.

    Purchase course in one of 2 ways:

    1. Go to https://products.snowpal.com/s/education, and purchase it on the Web

    2. On your phone:

    (i) If you are an iPhone user, go to http://ios.snowpal.com, and watch the course on the go.

    (ii). If you are an Android user, go to http://android.snowpal.com.

    Mehr anzeigen Weniger anzeigen
    5 Min.
  • Rent, Don’t Own: Why the Real AI Race Is About Who Controls the Weights (feat. Sam Sammane)
    Sep 14 2026

    A conversation between host Krish and guest ⁠Sam Sammane⁠, founder and CEO of ⁠Quantum General Intelligence⁠ (QGI) and author of The Singularity of Hope.

    Sammane brings an unusual vantage point to the discussion: two decades in symbolic AI and automated theorem proving in the late 1990s, followed by a career in mergers and acquisitions, before returning to AI full time in 2022. Across the conversation, Krish and Sammane cover the real gap between frontier and open-source model performance, the economics and security tradeoffs of Chinese open-weight models, why coding and agentic workloads call for different tools, and the growing business and national case for private, sovereign, and deterministic AI infrastructure that companies and governments own outright rather than rent.

    Mehr anzeigen Weniger anzeigen
    1 Std. und 6 Min.
  • AI Just Broke Outsourcing — Is Africa the Next Global Talent Goldmine, or Is Cheap Labor Already Obsolete? (feat. Gerard Holland)
    Aug 4 2026

    For decades, the conversation around global outsourcing has revolved around two places: India and the Philippines. But on a recent episode of the SnowPal Podcast, host Krish Palaniappan sat down with Gerard Holland, a chartered accountant turned tech entrepreneur and founder of Talent Match Africa (TMA), to make the case for a “next frontier” that most Western businesses have barely considered: Africa.

    Mehr anzeigen Weniger anzeigen
    50 Min.
  • Selling the Unsellable: Sales Lessons from a Founder Who’s Done It Twice (feat. Viktor Popovic)
    Jul 27 2026

    Insights from a Snowpal Podcast conversation between Krish Palaniappan and Viktor Popovics, co-founder and president of Avendo

    Viktor Popovics has closed two very different kinds of impossible sales. The first was convincing an old-school pressure washer manufacturer, in 2003, that people would actually buy heavy equipment over the internet. The second, twenty years later, is convincing payment processors to compete against each other in real time for the same merchant. Between those two sales sits a masterclass in what it actually takes to sell something the market isn’t ready to buy.

    Mehr anzeigen Weniger anzeigen
    53 Min.
  • The Post-Vibe-Coding Engineering Org: Agent Review Pipelines, Model Selection, and Token Economics (feat. Srinivas Chippagiri)
    Jul 23 2026

    Most “AI is changing engineering” content stays at the level of anecdote. This piece tries to go one layer deeper into four specific claims made in the conversation, each of which has concrete operational implications for engineering teams:

    1. Cloud native’s definition is shifting under AI-assisted development,

    2. Code review is becoming a two-stage, agent-then-human pipeline,

    3. Model selection is a benchmarking problem, not a leaderboard-reading problem, and,

    4. Token spend is emerging as a per-developer budget line that companies don’t yet know how to reason about. A closing section covers the SaaS market debate.

    Krish Palaniappan sits down with Srinivas Chippagiri, a senior technical staff member with 15 years in software engineering, to unpack how AI is reshaping coding, code review, model selection, and the SaaS industry.

    Mehr anzeigen Weniger anzeigen
    45 Min.
  • Beyond RAG: Building Production-Grade AI Coworkers for the Enterprise (feat. Karl Simon)
    May 21 2026

    There is a meaningful difference between pasting a problem into ChatGPT and deploying an AI system that autonomously orchestrates multi-step workflows across a regulated enterprise. Karl has spent the last several years working in that gap — building what he calls “AI coworkers” for wealth management firms and manufacturers. This article unpacks the architectural decisions, engineering philosophy, and organizational implications behind that work.

    Mehr anzeigen Weniger anzeigen
    1 Std. und 13 Min.
  • From SEO to AEO: How to Optimize Your Website for AI Agents (feat. Frank Vitetta)
    May 14 2026

    Frank Vitetta, is the founder and CEO of Orchid Box, LLM Scout, and CodeScout. LLM Scout monitors how brands are cited and represented across major AI platforms. Krish Palaniappan is the CEO of Snowpal, an API platform helping businesses build software faster.

    Frank points to a striking statistic: roughly 18% of Google’s traffic today comes from LLM bots. When you ask ChatGPT or Claude a question they can’t answer from training data, they perform live Google searches to gather information. They break your prompt into multiple search queries — a process called “query fan-out” — then crawl the top results in real time to synthesize an answer.

    Mehr anzeigen Weniger anzeigen
    1 Std. und 58 Min.