Hosted by ShiSh · 🇺🇸 US · EN · 94 episodes
Established thought leaders with verified media credentials.
ShiSh distills his latest posts on emerging tech, agentic AI, and high-impact startups into fast, AI-powered audio TLDRs. Insights at the speed of change.
ShiSh hosts Sparks & Signals: An AI-Powered Audio TLDR, a technology show with 94 episodes published.
Most frontierAI research isn't built with retail in mind, but a handful of models in Microsoft Foundry Labs map onto real retail problems remarkably well. I went through the catalog and picked out the ones with a genuine
I spent the last month building autonomous projects: a hashtag#retail operation that designs and sells t-shirts off trending phrases, a pipeline that turns photos into 3D-printed figurines, and a newsletter that translat
What if your news feed answered "𝒘𝒉𝒂𝒕 𝒅𝒐𝒆𝒔 𝒕𝒉𝒊𝒔 𝒎𝒆𝒂𝒏 𝒇𝒐𝒓 𝒎𝒆" instead of "what happened"? I wrote a job description for an #AI agent using #MicrosoftScout, that reads 30+ #retail news sources every we
Earlier today I had a great conversation with Georges F. Mirza, creator of the ARS² Framework and founder of ComTask, and it prompted me to write down something I keep seeing with the #retailers and #brands I work with.
In this issue I dig into the trend I find most significant right now, an agentic layer that overlays existing mature systems instead of replacing them, with great examples from Auger, Intelo.ai, Buynomics, and SimpliCont
Merchandise planning is one of those domains where deep vertical focus wins. Toolio built their platform around the actual vocabulary of #retail planners, things like open-to-buy, size curves, and weeks of supply, with a
What happens when you let AI agents run an entire retail store? I just published my second experiment in autonomous retail. The first was a store that scanned trending news and auto-designed viral t-shirts. This one is M
If you're building a B2B tech startup in retail or CPG, getting in front of the right enterprise teams is often harder than building the product itself. This piece looks at the corporate innovation programs and CVCs that
Most supplychain compliance failures are not caused by careless companies. They are caused by a visibility problem that most brands do not realize they have until a shipment gets detained at the border. This article is a
Excited to welcome Buynomics to the Microsoft for Startups Pegasus portfolio. After a fantastic conversation with Ingo Reinhardt and Tim Schneider, it's clear they've built something genuinely differentiated in the 𝑹𝒆�
A recent conversation with my old friend Audrey Piquemal got me thinking about how enterprises are approaching workforce transformation in the #AI era. Merci, Audrey! Too often, companies respond to change by replacing e
Every July, Microsoft's fiscal year turns over and I sit down to think seriously about where to focus my energy for the year ahead. For FY27, one of my five priority areas is 𝑨𝒈𝒆𝒏𝒕𝒊𝒄 𝑹𝒆𝒊𝒏𝒗𝒆𝒏𝒕𝒊𝒐𝒏, and I
For years, my passion has been in the world of IoT and building connected systems that can sense, interpret, and respond to the world around them. As I’ve spent more time building AI agents, I kept noticing something fam
Most retail analytics platforms are built around queries. You form a hypothesis, build a report, get an answer. The limitation is that the most valuable insights are often hiding in questions nobody thought to ask. This
After publishing my piece on letting AI agents run a retail store, the most common question I received: how does it actually work? This post answers that in full technical detail. Three agents, three different foundation
I spent some time recently building something I have been curious about for a while: a retail store run almost entirely by AI agents. No manual design work, no product research, no uploading listings by hand. Just a thre
Supplychain software has a workflow problem, not a capability problem. Planners spend their days navigating dashboards, reconciling signals across systems, and manually triaging exceptions. The tools work. The work just
Enterprise AI is moving beyond copilots and dashboards toward systems that participate directly in how work gets done. In operationally intensive industries such as distribution, manufacturing, and field services, this m
Retailmerchandising is one of the most mature areas in enterprise software, yet much of the work still relies on disconnected systems and manual coordination. I explore how Intelo.ai approaches merchandising as a continu
Agentic AI is starting to show up in places we often overlook. Contract management is one of them. In this piece, I explore how SimpliContract is turning contracts into a continuous layer of intelligence across the enter
Sponsor detection runs nightly. Check back soon.
No public pitch examples yet for this show.
Generate your own personalised pitchBased on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:
Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.
Shows with the most semantically similar episode content. Pitch one, pitch all; producers cluster.
Sparks & Signals: An AI-Powered Audio TLDR has a verified contact on file. Create a free PitchCentric account to access it and generate a personalised pitch in seconds. Research at least 3 recent episodes first and lead with a specific angle that serves their technology audience.
Sparks & Signals: An AI-Powered Audio TLDR is hosted by ShiSh. The show is categorised under technology and has published 94 episodes.
Sparks & Signals: An AI-Powered Audio TLDR has published 94 episodes.
Sparks & Signals: An AI-Powered Audio TLDR regularly covers technology. It sits in the technology category.
Sparks & Signals: An AI-Powered Audio TLDR is accessible for guests with genuine technology expertise. A personalised, episode-aware pitch will still outperform a generic one every time.
Sparks & Signals: An AI-Powered Audio TLDR hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.
Episodes of Sparks & Signals: An AI-Powered Audio TLDR average 18 minutes. a focused format where a clear narrative arc and tight preparation matter most.
Our data rates Sparks & Signals: An AI-Powered Audio TLDR's guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.
Methodology. Booking Probability™ blends Listen Score, 30-day Virality, open-to-guests detection, and Apple ratings. Data refreshed every 60 minutes. Listen Score and Booking Probability are calculated by PitchCentric. Last enriched 6 days ago.
