Marc Della Torre

Project Vend reads less like a capability story and more like a governability story. Phase two improved because institutional scaffolding (tools, procedures, role separation) reduced predictable judgment failures—persuasion, compliance blind spots, boundary confusion, values drift. The board-level question isn’t “can an agent run a business?” but “what governance primitives must exist before we delegate authority.” Until incentives, escalation rights, and refusal boundaries are structurally enforced—not merely prompted—agents remain high-performing managers, not autonomous executives.

6

1 Comment

Last week we shared that ZaiNar had emerged from nine years of stealth. Today we’re sharing what we built. We’re announcing commercial availability of the first 5G location system that delivers sub-10cm accuracy using only the connectivity signals devices already transmit. Ranges up to 1.5 kilometers. Zero additional battery drain. No device software required. Here’s why this is a big deal for the telecom industry: carriers have invested billions in 5G infrastructure globally. With ZaiNar, those networks can now deliver highly accurate positioning services across every connected device - dramatically increasing the utility and ROI of those investments. Location services can be worth more than the connectivity itself. Our technology uses SRS - the connectivity signal every device transmits to maintain its network connection - and processes it at the network level. The result is sub-10cm positioning that works indoors, outdoors, through walls, on as little as 10 MHz of spectrum. This turns 5G from a faster pipe into genuine infrastructure for Physical AI - and it’s deployed and operating today across healthcare, construction, logistics, and smart cities. With MWC next week, we have much more to share. https://lnkd.in/ghVhYXvt #ZaiNar #5G #PhysicalAI #noGPS #MWC2026

139

29 Comments

From Measurement to Orchestration, with Pranav Piyush from Paramark.com In this week's Intelligent Marketer ep, Rishabh and I dug into the evolution of marketing measurement in a world where direct, click-based attribution has broken. The smartest marketing teams are building systems that triangulate incrementality testing + MMM results. Pranav discusses how getting this "central brain" right is a critical foundation for AI-driven orchestration & execution of an end-to-end marketing roadmap. Topics covered: - Policies, not dashboards: how to decode decisions as machine-readable rules that turn insights into actions - Confidence-weighted budgets: how to use error bars in lift/MMM results to drive budget reallocation - Latency-aware orchestration: how to incorporate daily platform signals vs weekly incrementality results vs quarterly MMM output - Creative as a portfolio: how to weight hit rate & EV alongside typical ROAS metrics - Constraint-aware bidding: how to bake margin, inventory, compliance, and brand safety costs into the decision function

40

4 Comments

Chatting with ZEDEDA CEO, Said Ouissal, and he has an elegant way of explaining the evolution of industrial Edge. Zededa provides OS for orchestrating Edge AI. 2010s were about IoT/Edge Connectivity. 2020s were about Edge computing/processing. 2030s will be all about Edge AI.

36

4 Comments

As AI workloads eat up global computing supply, DRAM prices are surging like never before—creating major challenges for teams trying to plan out their data center spend. One of my portfolio companies, Mext, is addressing the largest cost component in the datacenter: server memory (DRAM). From being on the board of Redis for the last twelve years, I’ve learned a lot about the various aspects of this problem and approaches to solving them. Mext found a breakthrough, using new AI techniques, for dramatically reducing the amount of server-DRAM required to run applications, all while maintaining performance. It intelligently manages the server’s memory, keeping hot pages (i.e., those in use by applications) in fast DRAM and offloading cold pages (i.e., those less used) to a much less expensive memory tier (e.g., NVMe Flash). Key to the approach is ensuring cold memory pages that are about to be accessed by an application are back in DRAM before the application needs them or notices that they were gone. This is done without modifications to the application or the OS – so it can run in the cloud or on-premise. Mext thus allows applications to either run using less DRAM or keep their DRAM footprint but do more with it. They're hosting a webinar along with Fred Weber (former CTO of AMD) on Jan 22nd at 10am pacific time. You can register here: https://lnkd.in/gXe9GCeE

153

3 Comments

Dashboards don’t create accountability. They create meetings. Charts get shared. Everyone nods. Action items get “noted”. Same problems. Next quarter. Accountability doesn’t come from visibility. It comes from systems — where ownership is clear and decisions can’t be ignored. I wrote a short note on why dashboards feel productive but rarely change behaviour — and what actually does. If your org has great dashboards but the same issues every review… this will sound familiar. Dashboards Don’t Create Accountability — Systems Do: https://lnkd.in/gCGpm-VU

7

1 Comment

Proud that Sierra has partnered with Cedar to build Kora, an AI voice agent purpose-built for patient billing. Catch Cedar's Sumayah Rahman and Sierra's Miranda Zhao at ViVE later this month to hear how they built Kora and what they've learned from real patient interactions https://lnkd.in/gh2et3ss

273

7 Comments

Big news from #MeterUp2025! Lumen Technologies and Meter are partnering to take the complexity out of procuring network connectivity. This collaboration brings speed, visibility, and simplicity to enterprise networking in the #AI era, helping our customers connect and scale with ease. I’m excited to join Meter CEO Anil Varanasi for a fireside chat today to explore what this means for modern enterprises. Read more: https://bit.ly/48bzRqi #TrustedNetwork #ConnectedEcosystem #AIReady #NaaS

479

15 Comments

Exciting milestone from Hitachi Ventures portfolio Arrcus, Inc.! 3× bookings growth in 2025 and the launch of the Arrcus Inference Network Fabric (AINF), the industry’s first AI policy-aware network fabric built to accelerate real-time and agentic AI applications. In an era where inference performance, latency, and distributed AI workloads increasingly define success in AI infrastructure, innovations like AINF that intelligently steer AI traffic across inference nodes, caches, and datacenters are a game changer. Congrats to Shekar, Keyur and the Arrcus team for driving this forward and helping reshape how next-generation AI networking is built and delivered. #AIInfrastructure #AgenticAI #Networking #Inference #CloudNative #Innovation

33

5 Comments

for anyone who want to learn how to accelerate value from AI, this can be a useful 3 hour investment. #graphmakesAIbetter Vijay Devatha Gabriel Richman Ramasubramanian Ramani Kedar Kulkarni Abhas Ricky Nash Springberry

18

1 Comment

Slingshot Insights acquires Noble Insights Exciting to see consolidation in the expert network space. This will likely lead to more innovation, more proprietary content via transcripts and surveys and the opportunity to see a bigger expert network emerge.

16

Vision without values fails to launch. Strategy without belief buckles under pressure. Missions without systems perish. What works? Conviction. And conviction can be engineered. At Decasonic, we believe conviction is engineered through top execution, AI-native talent, and system-level thinking across the key technologies of today: Web3 and AI. Blessed to be working with some great people across our ecosystem who engineer with sustainable conviction. Sustainable conviction encompasses: 1- Alignment that endures and flourishes with stress testing. 2- Execution that cuts through noise to build for signal. 3- Systems thinking that compounds with AI building AI. In markets defined by uncertainty and unknowns, conviction comes from disciplined design of humans and AI working together in systems that drive outcomes. "Full Speed Ahead" reflects these conversations around conviction. Excited to showcase this theme next week at our Fourth Annual Web3 Investor Day.

28

1 Comment

Start off the new year by exploring what could be ahead for the telecom industry in 2026. In this article, Ronnie Vasishta, SVP of Telecommunications at NVIDIA, shares his view that the defining shift will be the move from networks optimized for voice, data, and video to networks built for AI traffic. Read the article to learn more.

3

800–1,000 emails per week. Sales, installs, support, scheduling, & follow-ups - all handled by one founder. Ari Laquidara runs Bay Area Tech Hero, a 5-star WiFi & smart home installation company. He handles every customer touchpoint himself. No ops team, inbox delegation, or bloated CRM workflow. For five years, Polymail has been the control layer for his entire business. Ari follows a strict Inbox Zero system. His inbox functions as his to-do list. One monitor stays dedicated to Polymail all day. If something needs action, it lives there. The system works because it removes guesswork:  → Auto follow-up reminders resurface emails automatically when a reply doesn’t come back, eliminating manual chasing → Read receipts show whether a message was seen, so Ari knows when to wait vs. act → Templates move routine decisions instantly once consensus lands → Inbox Zero discipline keeps every commitment visible & tracked For Ari, Polymail replaces most of what a CRM is supposed to do. The CRM stays secondary. The inbox is where velocity lives. “I genuinely couldn’t operate without it,” he told us. “Polymail is the most important productivity platform in my company.” Ari's tried nearly every email client on the market. He always comes back to Polymail. Watch how Ari runs a high-trust business with precision, directly from the inbox. 👇 #Founders #SmallBusiness #InboxZero #Operations #Productivity #Polymail

16

2 Comments

Hear the latest views about the US independent ISP market from Nathan Stooke , founder of Wisper Internet and board member of WISPA #ispamerica2026 #fwa #wispa

34

1 Comment

This IndustryWeek piece does a solid job showing how top companies are using 5G and IIoT to actually improve how they operate. What stood out to me was how simple some of the wins were: better visibility, less downtime, and letting teams focus on what really moves the business forward. In our work at RFIP, the solutions that stick are the ones that stay grounded. No overengineering, just clear problems, real answers, and room to scale. If your team’s looking at 5G or IoT upgrades, one question to keep in mind: Does this make us better or just different? #Leadership #TechStrategy #OperationalEfficiency

2

🔥🔥🔥 Startups often aren't ready to scale their pilots. At #MWC2026 in Barcelona, I'll be speaking at the Microsoft booth on how i-Genie.ai has so quickly scaled to 30+ countries, empowering the most demanding consumer brands like Unilever, Kenvue, Bayer, Danone, AB InBev., The Coca-Cola Company and many more! Excited to join Microsoft's Head of Retail Startups ShiSh S., John McAllister, Director of Sales at Gisual , and Dinesh Narayanan, Co-Founder and Head of Commercialization at General Robotics. Going to be a lively conversation. 🖐 🖐 🖐 Session info below, and if you are going to be at #MobileWorldCongress and want to meet up, let me know. See you there! ━━━━━━━━━━━━━━━━━━━━━━━━━━ 𝐒𝐞𝐬𝐬𝐢𝐨𝐧: From Pilots to Production: Using Startups to Accelerate In-House Innovation 𝐖𝐡𝐞𝐫𝐞: Microsoft Booth, Hall 3, 3H30, Fira Gran Via, Barcelona 𝐖𝐡𝐞𝐧: March 4, 3:20PM 𝐀𝐝𝐝 𝐭𝐨 𝐂𝐚𝐥𝐞𝐧𝐝𝐚𝐫: https://luma.com/7tmc8481 ━━━━━━━━━━━━━━━━━━━━━━━━━━ Tom Davis, Sylvie Atkins, Andrea DeCamp, Vikas Arora, Jamie Scholfield #Telco #Barcelona

24

What happens when every team, workflow, and dataset in a company starts working together intelligently? I recently spoke with Strixus Magazine about how AI agents will unify the enterprise and why every organization will need an AI-powered core to stay competitive. Read the full article here: https://lnkd.in/gKFuzRAR

27

Voice is a super interesting modality right now - maybe the first modality we're seeing move to open source models across a number of scale ups / enterprises. Reliability concerns, high costs, and open source model performance are pushing engineers to do their own fine tuning vs. relying on third-party vendors of proprietary models. Many of these orgs have already been collecting their own first-party data and now with third-party vendors like Extrian, David AI, etc they can train really high quality models. RL has been insanely hyped, but it's been unclear how long it will take scale ups and enterprises to actually lean in. Voice AI might be hitting that inflection point faster than expected.

45

7 Comments