Evan Kirstel B2B TechFluencer

TECH IMPACT™ - National Television Series

Evan Kirstel is a globally recognized tech media innovator, industry insider, and trusted voice in the B2B technology space, now host of Techimpact on FOXbusiness and Bloomberg TV.

 With an unmatched blend of expertise and influence, Evan connects the dots between cutting-edge technology and actionable business insights. By collaborating with internal teams, agencies, and stakeholders, he develops, produces, publishes, promotes, and amplifies content on a global scale, driving meaningful industry conversations and fostering growth.

Television Presenter, TechInfluencer & Podcast Host

Excited to be on-site at #MWC25! Looking forward to connecting with industry peers, exploring the latest innovations, and sharing insights in real-time. Let’s meet up and talk all things #5G, #AI, #Cloud, and beyond. See you there!

Media/Press/Influencer/Content Creator/TV Host 

T-Mobile

Vegas is calling, and Mobile World Congress is the reason!

Get ready for a whirlwind tour of game-changing 5G business applications, mind-bending AI and IoT breakthroughs, and so much more. I'll be your eyes and ears at the T-Mobile for Business booth, bringing you the hottest insights straight from the source.   

I'm lining up some killer one-on-ones with T-Mobile's brightest minds and will be flooding your feed with real-time updates that'll make you feel like you're right there with me. 

Oh, and don't miss T-Mobile's Unconventional Awards! We're shining a spotlight on the innovators and visionaries using 5G to transform everything from customer experiences to life-saving tech.  

Tag along on my channels and T-Mobile for Business feeds. 

Trust me, you won't want to miss this ride! See you in Vegas!

T-Mobile for Business Influencer at MWC24 in Las Vegas 

Forbes Business Council

Forbes Business Council Is An Invitation-Only Organization For Successful Small And Mid-Sized Business Owners. I look forward to contributing content to Forbes.com!

Tech Influencer 

Sonus

Helped Sonus figure out its Cloud, OEM, and UCaaS partner strategy.

Director Strategic Alliances

Oracle

Joined Oracle as part of their acquisition of Acme Packet. Sadly,  I never got to meet Larry.

Director Alliances

Acme Packet

Aquired by Oracle 

Doing what I do best - Managing Key Alliance and Driving Revenue with HP, IBM, Siemens,Accenture, Motorola, & Avaya, and other Strategic Channel/technology Partners

Keeping eyes and ears open for emerging market opportunities in UC & Video arena

Director, Business Development

AudioCodes

Learn to thrive in the world of Global OEM Sales within a multinational (Israeli) culture (tough!)
•Led team in driving direct revenue with Avaya from $250K to over $12M in 4 years
•Closed dozens of new OEM prospects including IPC and Siemens Enterprise 
•Met / Exceeded Sales Quotas in 2006, 2007, and 2008 ; Promoted  2 years into role

Director of Sales

Hughes

My introduction to the world of Indian Software & Services biz - fascinating 

*Sold HSS SIP /SS7 stacks, systems integration, and (India) software outsourcing services to OEMs 
•Exceeded annual sales quotas of $2M; Closed new $1.75M deal with Motorola 
•Secured initial deals with Verizon and Onstar for SIP-based infrastructure software solutions. Initiated and cultivated formal channel relationships with IBM and HP
•Recognized for ‘Sales Debut of the Year”, “Key Customer Win of the Year”

Regional Sales Manager

Philips Electric

Sales & partner development throughout North America covering SoC design, software development services and embedded solutions 
•Negotiated frame agreements and design partnerships with Texas Instruments,Motorola, IBM focused on wireless, telecom and consumer electronics markets
•Sold embedded software solutions & reference designs based on Intel Network Processors to OEMs

Business Development Manager

Create📝Publish🗞️Amplify📣 TechInfluencer, Analyst, Content Creator w/600K Social Media followers, Deep Expertise in Enterprise 💻 Cloud ☁️5G 📡AI 🤖Telecom ☎️ CX 🔑 Cyber 🏥 DigitalHealth. TwitterX @evankirstel

B2B Social Media Maven | Tech Industry Storyteller | Trusted Partner for Global Tech Brands | TV Host | Podcaster | Livestreamer | Blogger | Industry Analyst 

With over three decades in tech, I've mastered the art of transforming social media into a dynamic platform for audience engagement, community building, and thought leadership. My focus? Not personal brand promotion—but delivering educational, authoritative, and thought-provoking content to cultivate sustainable, long-term business growth. 

I am host on a TV show called TechImpact appearing on FOXBusiness and Bloomberg which has a reach millions of viewers. 

From Enterprise IT to AI, UCaaS, CPaaS, Cybersecurity, 5G, and Digital Health, my expertise spans the tech landscape. As a leading content creator, I bring unparalleled insights into the Future of Work, Unified Communications, Collaboration, and Customer Experience , producing impactful narratives that resonate with key decision-makers worldwide. Let’s turn your ideas into stories that captivate and engage audiences while delivering eye-popping ROI.

Social Reach: 600K+ followers across LinkedIn (60K), Twitter (380K), YouTube (110K), Meta platforms (120K), and beyond. Livestreaming, blogs, Newsletter (20K) and podcasts that reach millions globally.  My personal network includes CIOs, CMOs, analysts, media, and key tech industry leaders. 

By leveraging our proven B2B Influencer Marketing methodology, I place your brand at the forefront of decision-makers' minds, ensuring you're the partner of choice when investment and purchasing decisions arise.

Our approach prioritizes Awareness, Education, and Engagement by delivering high-value content that reaches and influences millions globally. Unique stories and narratives position your brand as a trusted leader.  Informative, jargon-free messaging educates decision-makers about your value proposition.  Blogs, videos, podcasts, and live-streams inspire clicks, likes, shares, and meaningful leads.  

I’ve built impactful, long-term partnerships with industry leaders like Palo Alto Networks, Intel, T-Mobile, Microsoft, Cisco, AMD, AT&T, and Broadcom. These collaborations deliver consistent results in reach, thought leadership, and measurable engagement, all while driving growth at a fraction of the cost of traditional marketing.

We work collaboratively with your teams, agencies, and stakeholders to develop, produce, publish, promote, and amplify your content. Whether for evergreen campaigns or point-in-time initiatives, our strategies are built to scale globally

Member and Contributor

We’re joined by Anand Eswaran, CEO of Veeam Software, and Rehan Jalil, CEO of Securiti, following Veeam’s bold acquisition of Securiti—a move that fuses data protection, security, and AI governance into one platform. Together, they unpack why GPUs alone can’t fix untrusted data and why 80–90% of enterprise AI projects fail, exploring how unifying data security and resilience lays the groundwork for AI that’s safe, compliant, and genuinely useful.

GPUs don’t fix untrusted data. We dig into why 80–90% of enterprise AI projects falter and how bringing data security and data resilience together creates the foundation for AI that’s safe, compliant, and actually useful. Our guests break down a data command graph that maps files, tables, permissions, sensitivity, and regulations across on-prem, cloud, SaaS, and modern warehouses, then uses that context to enforce the right controls and power rapid recovery.

We explore how DSPM fits inside a larger platform that understands data relationships, flags toxic connections, and automates remediation. From ransomware and exfiltration to model poisoning, the graph approach speeds both prevention and incident response. You’ll hear how to prioritize the crown jewels, set dynamic resilience policies, and hit aggressive RPO/RTO targets so the business stays online. We also dive into safe AI enablement: find the sensitive “needles,” mask or tokenize them, and let the “haystack” fuel conversational search and agents without leaking secrets.

The conversation goes further into operational reality: low-friction adoption for existing environments, visualizing which datasets train which models, and rolling back AI pipelines with precision when bad data slips through. We talk timelines for integrating the platforms and why this unified view unlocks better security, stronger governance, and smarter storage tiering. If you’re ready to raise AI success rates, reduce blast radius, and move faster with confidence, this one lays out the playbook.

Evan  Kirstel

JSESSIONID

li_at

(10) Feed | LinkedIn

From Resilience to Intelligence: Leading the shift from data protection to AI-powered insight, action, urgency and purpose.

Veeam Software

President & CEO, Securiti | Enabling Safe Use of Data & AI

Securiti

Anas Baig

AI is moving faster than any wave we’ve seen—and the hidden cost is complexity. We sit down with New Relic CEO Ashan Willy to unpack how observability must evolve to keep up with agents, vibe coding, and probabilistic systems that don’t fail like traditional software. From the early SaaS days to hyperscale cloud and now AI-native architectures, we connect the dots on where value breaks, why pilots get stuck, and what changes when real users meet real AI in production.

We challenge the headline that “95% of GenAI projects fail” and explain the real blockers: adoption, verification, and integration into messy enterprise workflows. Then we dive into the rise of AI agents—microagents and nanoagents coordinating around-the-clock—to offload repetitive tasks and accelerate delivery. With that power comes a new ops reality: tracing prompts and tool calls, monitoring hallucinations, enforcing safety policies, and tying every hop back to user and business outcomes. You’ll hear practical guardrails for vibe coding, including evaluation suites, prompt versioning, canary releases, role-based access, and real-time model quality monitoring.

Finally, we look at outages through a clear lens: even the smartest teams can’t outpace system complexity without better visibility and faster remediation. New Relic’s two-pronged roadmap—observability for AI and AI for observability—aims to give teams both the data and the decisions: model-aware telemetry, agent state insights, automated incident summaries, and recommended fixes that protect revenue and trust. If you’re planning for 2026, take this as your cue to embrace the era with discipline: ship agents, instrument everything, and let observability become the backbone of safe, scalable AI.

If this conversation helps you think sharper about AI in production, follow the show, share it with your team, and leave a quick review so others can find it.

Telecom doesn’t need another AI science project; it needs outcomes. That’s the thread running through our conversation with Kishore Bobbarjung from Tupl Inc., where explainable, agentic automation is delivering real wins: faster resolution of customer issues at a US tier one and double-digit energy savings across more than ten European networks—without sacrificing KPIs. We walk through how connecting customer signals to network data shrinks time-to-fix, how policy-aware power optimization lets radios sleep smart, and why trust and transparency with engineering teams are the real force multipliers for scale.

We dig into the design choices that matter: building AI around workflows engineers already use, surfacing every step so fixes are understandable and safe, and promoting repeatable investigations into closed-loop automations. That’s how costs stay predictable and knowledge compounds. We also unpack the tough parts—workforce concerns, governance, security, and the surprise bill that can come from token-heavy agents—and show how Tupl contains exposure by localizing processing and turning one-off agent work into durable scripts.

The roadmap gets bold: a “no tools” North Star where an agentic co‑pilot interrogates data, guides deep investigations, and then codifies proven remedies back into Network Advisor for ongoing, low-cost execution. With AI moving deeper into the RAN, we explore early gains in radio design, optimization, and critical-site resilience, as major vendors push intelligence closer to the edge. If you care about cutting OPEX, boosting customer experience, and replacing tool sprawl with a coherent AI layer, this conversation lays out a practical playbook.

Enjoy the episode, then subscribe, share with a colleague, and leave a quick review to help others find the show. What would you automate first in your network?

How It Runs: Tech, Speed & T-Mobile For Business at the Las Vegas Grand Prix!

Let’s go behind the tech powering the Formula 1 Las Vegas Grand Prix: How do you stream 4K, scan 300K tickets & prioritize first responder comms?

G Jason Schnellbacher, T-Mobile, explains how T-Mobile For Business is keeping LasVegas GP connected!

T-Mobile for Business Partner

What if your network could understand intent, adapt in real time, and deliver the exact experience you need—whether you’re at a packed concert, inside an ambulance, or running a factory floor? We dive into the shift from manual engineering to autonomous networks and how open standards are making AI practical, measurable, and global.

Claudia Muñiz, Global Head of Sales for Cognitive Network Solutions at Ericsson, explains why 5G’s real promise is differentiated connectivity and how the Service Management and Orchestration (SMO) layer unlocks it. We trace the journey from early self-organizing networks to an open RAN ecosystem where developers ship RAN apps once and deploy everywhere. Expect clear examples of digital twins and multi-objective reinforcement learning tuning antennas across massive configuration spaces, with live results: higher throughput, faster speeds, fewer dropped calls, and better spectral efficiency—proof that AI at the radio layer moves the needle when paired with the right data and processes.

We also separate hype from reality on large language models in telco. Lightweight, energy-aware models handle millisecond decisions at the edge, while LLMs shine in cloud workflows, documentation, coding, and natural language operations. With partnerships that blend domain expertise and elastic compute, engineers can ask plain-English questions and get guided actions, all built on a unified, secure data layer. The conversation lands on what matters most: time-to-first value, measurable gains in churn, revenue, energy, and effort; and the near future of intent-based networking that coordinates specialized agents to meet business goals across open interfaces.

If you care about 5G, open RAN, AI-driven operations, developer ecosystems, and the real-world path to autonomous networks, this is your roadmap. 

Learn more: https://lnkd.in/d4rN28Ni

Ericsson Ambassador  | Ericsson Software #rApps #AutonomousNetworks #AI #TelcoAI

🚀 On this day in 1970, Intel Corporation  shipped the 4004 — the first commercially available microprocessor.

That tiny chip lit the fuse for everything that followed: PCs, smartphones, cloud computing, and today’s digital native world.

Wild to think the entire digital economy started with something smaller than your fingernail. 💡🔌 #ThrowbackThursday Intel Business Intel Foundry

Tired of chasing downloads that never turn into deals? We sat down with Refine Labs’ CEO Megan Bowen to unpack why so many B2B playbooks still assume the seller holds the power—and how to rebuild your go-to-market around the way buyers actually make decisions today. From redefining MQLs to recognizing meaningful intent, this conversation is a straight path from vanity metrics to qualified pipeline.

We break down the Brand–Demand–Expand model in practical terms. Brand ensures you land on the day-one consideration set with clear, memorable narratives. Demand translates attention into real sales conversations by removing friction and aligning to buyer timing. Expand focuses on adoption, retention, and account growth, turning customers into advocates who fuel word of mouth. Along the way, you’ll hear why aggressive outreach erodes trust, how to design self-serve paths that respect buyers, and where most teams underinvest when it comes to lifetime value.

Pulling it all together, we explore Refine Labs’ rigorous onboarding: multi-quarter revenue analysis, funnel diagnostics, and creative audits that produce a focused roadmap instead of a one-size-fits-all playbook. We also dive into an AI strategy that actually matters—AI-powered benchmarks from first-party data, automation that frees humans for strategy, and structured experiments that prove lift before scaling. Add in concrete steps for aligning sales and marketing around shared pipeline and revenue goals, and a people-first culture that compounds performance, and you get a blueprint for modern B2B growth that’s both human and high performing.

If you’re ready to move beyond form fills and start building buyer intent, hit follow, share this with your team, and leave a quick review to tell us what you’ll change first. Your feedback helps more leaders find these conversations and modernize their go-to-market.

What if your marketing stack could think with you and act for you? We sit down with Christian Monberg Chief Technology Officer & Head of Product from Zeta Global to unpack Athena, a super intelligent agent designed not as a chat add-on but as the operating system for modern marketing. Built on a consolidated data fabric and a supergraph grounded in identity, Athena translates insights into action—turning questions into live segments, optimizing campaigns for incremental lift, and giving teams software on demand without the usual tool sprawl.

We explore how Athena’s identity-first approach unlocks trustworthy measurement, why incremental gains at the margins drive real revenue, and how “impossible products” like Advisor run always-on strategies in the background. Christian shares a real beta story where natural-language analytics didn’t just produce a report—it generated targetable audiences ready to activate in one click. We also tackle the realities of enterprise adoption: pairing probabilistic agents with deterministic governance, standards like MCP that help agents talk to services, and the cultural shift from skeptical pilots to production-scale trust.

From replatforming and consolidation to generative UI and on-demand app creation, this conversation charts a path from channel-centric silos to true consumer-centric engagement. Expect practical insights on cutting onboarding time with agent-driven migrations, simulating strategies before you spend, and building the measurement rigor that proves impact. If you’re ready to move at the speed of business, reduce total cost of ownership, and give your team more room to experiment, this one delivers the blueprint.

If you found value, follow the show, share it with a teammate who’s battling tool sprawl, and leave a quick review so others can discover it.

Want to create live streams like this? Check out StreamYard: https://lnkd.in/e4biZwpy

Customers don’t call to chat with a bot—they want outcomes. In my chat with Jim Palmer Dialpad's Chief AI Officer we dive into how Dialpad’s #AI-first platform turns real-time voice, video, and digital interactions into #agentic workflows that act on behalf of users, learn from every result, and hand off seamlessly to humans when it counts. No black boxes. No bolt-ons. Just a unified stack where speech recognition accuracy, in-domain adaptation, and transparent evaluations compound into trust you can measure.

We talk through the nuts and bolts of building AI where it belongs: inside the media layer, not tacked on after the fact. That foundation unlocks higher-quality transcripts, reliable summaries, and precise suggestions that downstream models can use without drowning in errors. From there, in-domain training becomes the engine for better answers: when support questions share patterns across industries, the system adapts faster and resolves issues with fewer escalations. And when a case does escalate, the agent sees the distilled context—intent, key points, attempted steps, and recommended next actions—so the conversation keeps moving.

The flywheel is the real breakthrough. As new issues surface in a rolling window of conversations, the platform quantifies impact and proposes automations. Humans review, approve, and refine. The system executes, measures completion and containment, and folds learnings back into models. Layer on governance—clear data policies, observability, and rigorous evaluation—and you get AI that leaders can trust and teams love to use. We also share how internal hackathons and applied research push practical features over the line, keeping innovation and execution in lockstep.

If you care about customer experience, agent performance, and measurable ROI from AI, this conversation brings a clear blueprint. Subscribe, share with a colleague who owns CX or support, and leave a review with your biggest automation challenge—we might feature it next. Craig Walker

What if the most human-feeling teammates on your projects moved at machine speed and collaborated across every vendor you use? I sit down with Vijoy Pandey GM and Senior Vice President of Outshift by Cisco to unpack how agentic AI and quantum networking move from shiny demos to dependable, scaled systems that actually ship results.

We start by reframing innovation horizons around risk instead of time. Technology risk is where quantum lives today, with foundational challenges from hardware to protocol. Market risk is where agentic AI thrives, as teams test real enterprise use cases beyond coding assistants. Platform risk is the mandate for a company like Cisco: open, interoperable architectures instead of brittle point tools. That lens shapes everything OutShift builds.

You’ll hear a clear blueprint for the Internet of Agents: discover the right capabilities across vendors, grant task and transaction-based access that expires fast, enable real-time many-to-many messaging across voice and video, and close the loop with rigorous measurement that feeds reputation and policy. We spotlight Agency (AGNTCY), the Linux Foundation–hosted open source project backed by a broad industry coalition, designed to make multi-agent collaboration portable and trustworthy.

The proof shows up in production. A healthcare triage flow uses a Webex voice agent that coordinates with insurance and diagnostics agents to verify claims and route patients to the right human expert faster. In networking, a multi-agent pipeline built with Swisscom stress-tests configuration changes like a chess engine, exploring outcomes, generating tests, and catching cascading failures before they hit production. On the horizon, quantum networking becomes a scale-out fabric that links quantum computers, data centers, and sensing devices—accelerating timelines by five to ten years while delivering near-term classical benefits in security and precision.

If you care about enterprise #AI, open standards, and the road to quantum-ready infrastructure, this conversation maps the path from uncertainty to impact. Subscribe, share with a colleague who’s building with agents, and leave a review with the one capability you want most from an Internet of Agents.

What if your enterprise could make the right decision, across every silo, in real time? We sit down with Paul Breitenbach, Founder & CEO r4 Technologies, to unpack how predictive AI goes beyond generative tools and actually drives outcomes: higher revenue, lower costs, and fewer bad events across the board. Paul explains why cross-enterprise management matters now, how it automatically pulls data from legacy systems, and how it sends decisions back without ripping anything out.

We walk through tangible examples that make the strategy real. In supply chain, predictive logistics ensure the right product hits the right shelf at the right time and price. In security operations, microlocation and environmental signals re-route guards on the fly, cutting incidents by 50 percent. And in a powerful “tech for good” case, R4’s Smart Food program identifies surplus food and matches it to SNAP demand, effectively doubling or tripling buying power while reducing waste—turning a national problem into a solvable coordination challenge.

Trust and adoption come from transparency and speed. Paul shows how confidence scores, explainability, and human-in-the-loop controls help leaders move from gut feel to measurable, auditable decisions in days, not quarters. We also explore what’s next: a more intuitive V5 interface, tackling higher-complexity domains like healthcare and energy transition, and why 2025 could be the tipping point where predictive AI becomes the enterprise standard.

If you enjoyed this conversation, subscribe, share it with a colleague wrestling with silos, and leave a review to help others find the show. What cross-enterprise challenge do you want AI to solve next?

What if your contact center could speak 46 languages, automate millions of calls, and still hand tricky moments to the right human in seconds? We dig into the launch of Teneo AI 8 with CEO Per Ottosson and reveal how a hybrid AI approach—combining LLM-powered conversation with deterministic logic—delivers scale, governance, and measurable results without sacrificing warmth or control.

We walk through the architecture that makes this possible: long-form, human-style dialogue guided by LLMs, paired with rules and business processes that capture facts, validate entities, and keep flows on track. You’ll hear how a major global rollout built in English, then used language objects to expand into dozens of markets over a weekend, and why public APIs let providers embed high-scale automation under their own brands. Real outcomes anchor the story—like Medtronic’s virtual assistant in healthcare, which lifted customer satisfaction by eight percentage points and drove revenue gains while meeting strict compliance needs.

Beyond replacing legacy IVR, we explore omnichannel reality and persistent memory that unifies voice with channels like WhatsApp and iMessage. We share a practical stance on human-in-the-loop: AI first for routine steps, expert agents for edge cases, leading to happier teams and better resolutions. Looking ahead, we map the shift to voice-to-voice conversations supervised by a control layer that enforces compliance and intent understanding. If you’re evaluating Dialogflow, Genesys, or custom stacks, you’ll get a clear view of how to scale, how to avoid the “easy demo” trap, and how to measure value through CSAT and revenue—not just cost cuts.

If this resonates, follow the show, share it with your CX and engineering teams, and leave a review with one question you want us to tackle next.

Tired of chatbots that stall when customers need real help? We dive into how agentic #AI flips the script by taking actions inside your systems—issuing refunds within limits, updating orders, authenticating users, and escalating with intent—while humans handle complex, high-empathy moments. Joe Anderson, Senior Director and Head of #CX and Digital Transformation at TaskUs, breaks down a practical playbook: choose the right high-volume use cases, embed guardrails and escalation paths, and integrate platforms like Decagon and Regal to ship in weeks, not quarters.

We walk through safety by design, from prompt hardening and policy constraints to continuous human evaluation that tunes agents over time. Regulated industries like healthcare and financial services come up often, and we outline how to meet compliance standards while delivering faster resolutions and better customer outcomes. The conversation also tackles a persistent myth: AI won’t erase your support team. It will elevate them. As tier-zero and tier-one tickets automate, human experts shift to white-glove support, retention saves, and nuanced sales where judgment and empathy pay off.

The business model is evolving too. Instead of hourly rates, TaskUs leans into outcome-based pricing and gain share, aligning incentives around first contact resolution, containment, CSAT, and cost per resolution. For leaders just starting, we offer a clear path: pick a major contact driver, launch to a small percent of traffic, measure rigorously, and scale as accuracy climbs. You’ll learn how to convert insights from AI interactions into product fixes and journey improvements that reduce avoidable contacts and lift satisfaction across the board.

If you’re ready to transform customer experience with real action, not just conversation, this episode is your blueprint. Subscribe, share with your CX and product teams, and leave a review telling us which high-impact use case you’ll tackle first.

Want to create live streams like this? Check out StreamYard: https://lnkd.in/e4biZwpy

Trust has become the entry ticket to the internet, and users are now choosing safety over price and speed. We sit down with Raj Ananthanpillai CEO/Founder of Trua to dig into the 2025 Trust Survey and why verification has shifted from a nice-to-have to a must-have. From shocking stats on consumer expectations to the real reasons fear and fatigue are rewriting behavior, we map out what it takes to build platforms people will actually use—and pay for.

We walk through the practical playbook: make safety the first thing users see, put verified badges and last-checked timestamps front and center, and adopt “friction by design” to deter bad actors without punishing good ones. Raj breaks down progressive checks that scale with risk—identity and address for low-stakes, licenses and criminal screens when necessary, and liveness for high-impact flows like dating and hiring. He explains why trust tech is emerging as its own category and how a reusable, tokenized credential can follow you across apps, slashing repeated data collection while boosting conversion and confidence.

AI and deepfakes add urgency. With bots posing as people, human identity verification becomes essential for high-risk interactions, and continuous authentication helps separate real users from synthetic scams. We also explore the regulatory landscape, why co‑opting consumers is cheaper and more effective than piling on rules, and how brands like Apple translate privacy into loyalty. The gig economy emerges as the flash point: tens of millions move across platforms that need fast, safe onboarding and fewer data silos to breach.

If you care about growth, retention, and brand resilience, now is the time to operationalize trust. Subscribe, share this episode with a product or security leader, and leave a review with one change you’ll make to bring safety to the surface.

Want to create live streams like this? Check out StreamYard: https://lnkd.in/e4biZwpy

Rafael J. Grossmann, MD, MSHS, FACS  — the first surgeon to use Google Glass in an operating room — continues to redefine what’s possible at the intersection of surgery, AR/VR, and AI. An immigrant from Venezuela, educator, and relentless innovator, he’s proving that the future of healthcare isn’t just high-tech — it’s deeply human. #DigitalHealth #XR #MedTech  

Now on sora! Irma Rastegayeva✨Influence Through Storytelling™️

Cameras don’t just record anymore—they inform, alert, and help teams act before problems get expensive. We sit down with Jeff Corrall Chief Product Officer at March Networks, to unpack how #AI-powered video is evolving from security footage to real operational intelligence you can search, measure, and scale without ripping out legacy systems.

Jeff explains why continuous video analysis is costly and how an image-first approach delivers the wins that matter. By capturing snapshots at set intervals or when simple edge analytics detect an event, their platform sends images to the cloud for deeper interpretation. That means retailers catch blocked fire exits before fines hit. Managers get texts when queues spike. Regional leaders track trends across hundreds of sites in real time. And teams can literally “Google” their stores for spills, cash left out, or outdated signage, fixing issues at the speed of a search.

We also dig into the AI3 camera, a 360-degree device that blends people counting, queue monitoring, and traffic flow with traditional video, replacing multiple sensors with one scalable unit. Beyond retail, transit agencies pair passenger counts with payment data to spot revenue leakage, while banks audit promotional compliance by uploading an example poster and finding any branch where it’s still displayed. The near-term horizon is especially exciting: fusing point-of-sale data with AI triggers to calculate conversion, surface anomalies with visual proof, and notify the right person to take action—before customer experience or revenue suffer.

If you care about operational excellence, loss prevention, and smarter use of your existing cameras, this conversation is packed with practical insights. Follow the show, share it with a colleague who owns store ops or security, and leave a quick review to tell us what you’d automate first.

AI ≠ LLM, and telco AI ≠ GPUs only. Claudia Muñiz from Ericsson breaks down real-world automation, intent-based networking, and why unified data layers matter for 5G. Want the short or the deep dive?  
Ericsson Ambassador Ericsson Software

MIT just mapped a digital twin of the entire U.S. labor market — and the AI “iceberg” underneath is way bigger than anyone thought. The $1.2T impact is coming for tasks across HR, finance, logistics, and admin long before it hits headlines. Leaders should pay attention. 🚨🤖📊

The Age of Agentic AI Is Here.

I sat down with Jim Palmer, Chief AI Officer at Dialpad, to explore how the company is building AI that doesn’t just assist, but acts.
From real-time conversation intelligence to self-learning agents, Dialpad is proving that the next phase of AI isn’t about prompts, it’s about performance.
We talked about:

 The architecture of “Agentic AI”
 Real-time context as the new currency
 How humans and agents are becoming true collaborators

Read the full story:

#AI #TechImpact #EnterpriseInnovation

https://lnkd.in/dnTNw-gm

🧠 88% of companies use AI — but only 1 in 3 are actually scaling it.

McKinsey’s latest State of AI 2025 report proves what most in enterprise tech already feel:

We’ve moved past the AI hype… but we’re still taxiing on the runway.

The real differentiator now isn’t who uses AI — it’s who’s redesigning workflows, building agents, and governing risk at scale.

From cloud to telecom to digital health, agentic AI is shifting from experiment to execution.

This isn’t the “future of work” — it’s the infrastructure of the modern enterprise.

✈️ Read my latest newsletter breakdown:

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