درباره این پادکست 🔗
Execution Over Hype is Seisan’s podcast for business leaders, product owners, and tech teams who want real outcomes—not buzzwords. We break down what’s actually working in technology today, what’s overhyped, and what to do about it. From AI and modern software delivery to enterprise modernization, AR/VR, cloud, security, and emerging platforms—each episode cuts through the noise with practical insights, real project lessons, and straight talk on what it takes to execute.
میزبان‌ها:
فرکانس به روز رسانی:
weekly
میانگین طول صدا:
8 minutes
پادکست ویدیویی
انگلیسی
ایالات متحده آمریکا
37 قسمت
از سال 15 ژانویه 2026
episodic
آخرین اپیزود 🔗
SpaceXAI's Grok Bot promises persistent AI employees that work inside your software overnight. But giving an autonomous agent lasting access to your CRM, inbox, and financial systems is one of the most aggressive security risks introduced to the workplace.
The architectural catch? All of a user's B…
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اپیزود قبلی 🔗
Buying more AI tools won’t fix a broken enterprise architecture.
In this episode of Execution Over Hype, John Turns breaks down the five essentials every organization needs to generate real AI ROI - clean data, centralized control, firm permission boundaries, auditable agent identities, and workflo…
Building a high-growth AI company isn't about chasing the latest model release, it is about solving real operational pain and delivering undeniable business value.
In Part 3 of this three-part conversation, John Turns sits down with Devansh, co-founder of Irys, to explore how to separate valuable …
Perplexity Enterprise Pro is earning praise across tech blogs for collapsing research friction, combining live web search with internal document repositories to generate instant executive briefs. Meanwhile, traditional intranet search and manual document hunting are quickly becoming relics as teams…
Marketing teams love to sell AI legal automation like it is as simple as running an Excel macro, but in regulated environments, replacing human judgment with an unmonitored model is a liability multiplier.
In Part 2 of this three-part conversation, John Turns sits down with Devansh, co-founder of …
Building an impressive AI demo is easy. Turning it into secure, reliable software that can operate in healthcare, finance, government, and other high-stakes environments is a much harder challenge.
In Part 1 of this three-part conversation, John Turns sits down with Devansh, co-founder of Irys, to…
Anthropic’s Claude Opus 5 is winning headline praise for its deep reasoning, massive context windows, and advanced code generation. Meanwhile, OpenAI’s GPT-5.6 is building an integrated operational ecosystem around ChatGPT to execute end-to-end workflows across files, spreadsheets, and business app…
Microsoft’s full-scale deployment of Harvey AI across its legal and compliance operations signals a permanent shift from simple document summarization to autonomous model execution. But behind the vendor promise of tenfold drafting speed lies an unexamined operational hazard: when probabilistic LLM…
Before you sign off on your next enterprise AI deployment, stop relying on glossy vendor pitch decks and soft questions about ROI or implementation timelines. Core infrastructure should never be evaluated on its best-case demo, it must be audited against its real-world failure modes. In this episod…
Google Workspace Studio and the new A2A (Agent-to-Agent) protocol allow employees to turn everyday tools into execution layers that automate complex business workflows. However, lowering the barrier to agent creation introduces a massive operational liability: Agent Sprawl. Without proper governanc…
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