What's Up with Tech?

• Rethinking Tech Hiring With AI

  Interested in being a guest? Email us at [email protected] billion-dollar talent marketplace doesn’t happen by accident—it happens when access, scale, and experience come together. We sit down with  Michael Morris the head of Torc at Randstad Digital to unpack how a once-independent platform now matches millions of professionals with work, why the talent market feels like a “teenage” phase, and how AI is reshaping recruiting without removing humans from the loop.The conversation gets practical fast. Automation now handles the busywork—sourcing, screening, scheduling—so recruiters and hiring managers can focus on what actually drives outcomes: culture fit at the team level, long-term growth, and a great candidate experience. We challenge sacred cows like resumes and rigid job descriptions, and explore how a next-generation marketplace will let customers express needs via prompts, voice, and examples. The result is faster, clearer matching that opens doors for more diverse, AI-enabled talent, from Python developers to marketers fluent in prompt-driven workflows.We also dig into the skills that matter most as enterprises chase AI readiness. Coding is no longer the bottleneck; user experience and domain fluency separate good from great. That’s why soft skills and communication sit alongside credentials from Microsoft, Google, and OpenAI, and why personalized learning beats one-track training. Whether you’re building a data team in healthcare, prototyping fintech apps, or scaling a platform, the path forward is the same: invest in people, modernize how you describe work, and use AI to upgrade—not replace—the human touch.If this resonates, follow the show, share it with a colleague, and leave a quick review. Your support helps more builders, leaders, and learners find the ideas—and opportunities—that move their careers forward.Support the showMore at https://linktr.ee/EvanKirstel

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• From Cameras To AI: The SD Association’s Next Leap

  Interested in being a guest? Email us at [email protected] people think of SD cards as camera accessories. We pull back the curtain with the SD Association to show how SD Express turns that tiny card into an SSD-class powerhouse for creators, PCs, and AI at the edge—without losing the flexibility of removable media. By bringing PCIe and NVMe to the SD form factor, SD Express delivers nine to forty times the performance of legacy cards and far better random I/O, so burst capture, rapid transfers, and on-device inference all feel instant.We trace how this shift changes product design and user workflows. Creators get faster shoots and simpler post; device makers can build slimmer hardware that still upgrades in seconds. On the capacity front, SDUC pushes the horizon beyond two terabytes toward a 128TB ceiling, with 4TB microSD and 8TB full-size cards emerging. That makes it practical to keep large datasets, video archives, and full AI model versions local, then rotate or update them in the field, no downtime required.Security is maturing alongside speed. The SD 9.0 specification adds encrypted drive capabilities and host binding, helping enterprises protect data at rest and perform secure firmware or model updates. We highlight a wave of student projects on NVIDIA Jetson Orin Nano using microSD Express as primary storage, proving how edge AI benefits from fast, reliable, swappable media. And we share where the standard heads next: endurance, reliability, and fair, transparent performance metrics that help buyers match cards to real workloads.If you’re building cameras, drones, robots, or compact PCs—or you just want your gear to feel faster—this conversation maps the road ahead for removable storage. Subscribe for more deep dives like this, share with a friend who loves hardware, and leave a quick review to tell us what you’d build with SD Express.Support the showMore at https://linktr.ee/EvanKirstel

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• Your PBX Called; It Wants A Retirement Package

  Interested in being a guest? Email us at [email protected] if your hotel could keep checking guests in even when the primary PMS goes down? We sit with Jason from SNET Communications to unpack how a true all‑in‑one stack—networks, SD‑WAN, security, UCaaS, CCaaS, and a native PMS—eliminates finger‑pointing and keeps operations moving when it matters most.We walk through the realities of legacy PBX in hospitality and why a cloud approach finally fits the property workflow. SNET’s platform delivers over 120 PMS integrations and a unique twist: a built‑in PMS that serves as a live failover. That means front desks continue check‑ins, wake‑up calls, and room inventory while the main PMS is offline, then resync automatically. The economics make sense for boutique hotels and big brands alike—reuse analog room phones with ATAs, retire maintenance-heavy hardware, and unlock new revenue from modern in‑room devices and connected TV experiences. Reliability isn’t just promised; redundant data centers in Chicago and Sacramento provide resilience even when hyperscalers stumble.The conversation travels beyond hotels. We break down a path from fixing broadband contention with SD‑WAN to deploying POS integrations and UCaaS across 1,500+ pizza locations, plus wins with dental groups, spas, auto dealers, and an energy company that needed precise call flows. Custom CRM integrations—often at little or no cost—turn rigid software into tailored workflows. Looking ahead, the roadmap brings practical AI to the front lines: a low‑cost chatbot bundled with UCaaS, a voice bot to deflect routine calls, and real‑time transcription with sentiment analysis to coach teams and protect the guest experience.If you care about guest satisfaction, uptime, and real ROI from technology—not just new tools for their own sake—this is a deep dive into what modern multi‑location communication should look like. Subscribe, share with an operator who needs a smarter stack, and leave a review with the one feature you want most in your hospitality or retail tech.Support the showMore at https://linktr.ee/EvanKirstel

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• Why Voice Still Reigns In Customer Experience As AI Scales

  Interested in being a guest? Email us at [email protected] a clear view of where global voice is headed and how AI changes the math? We sit down with Barbara Dondiego CEO at Avoxi to unpack the shift from legacy telephony to a modern cloud voice backbone that unifies numbers, routes across multiple CCaaS platforms, and puts intelligence at the very top of the stack. If you’ve wrestled with six vendors, inconsistent quality, and opaque billing, this conversation shows how enterprises regain control, visibility, and speed.We trace the evolution from regional servers and PBXs to a software-first model that treats voice like programmable infrastructure. Barbara explains why agentic AI is driving voice minutes up, not down—once simple calls are automated, brands stop throttling phone support and let customers choose the fastest path. We dig into real deployment patterns: AI answering known intents, clean escalations to skilled agents for revenue moments, and omnichannel journeys where long text threads pivot to a quick call for instant clarity. Along the way, we cover the mobile-first reality—most inbound traffic now hits from cell networks—and why the phone remains the most universal, regulated, and low-friction gateway to natural language systems.Under the hood, we get practical about interconnects and standards. Avoxi’s role in the ecosystem is to simplify the last mile with direct carrier connections worldwide while staying open to your stack—Amazon Connect, Genesys, Five9, NICE, Webex, and beyond. That openness lets teams consolidate on a single global voice layer while mixing applications by region or line of business. We also look ahead to what’s next: voice-native security as AI increases call volumes, anomaly detection at the phone-number level, end-to-end encryption, and smarter defenses against automated floods that pretend to be people.If you’re planning your CX roadmap, this is a grounded guide to consolidating providers, automating with confidence, and securing the future of voice. Subscribe, share with your team, and tell us: where would AI at the top of your stack make the biggest impact?Support the showMore at https://linktr.ee/EvanKirstel

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• From Hyperscalers To Neo Clouds: Rethinking Enterprise Networks For AI

  Interested in being a guest? Email us at [email protected] the old playbook of carrier hotels and cross-connects. We sit down with Dave Ward, Chief Technology and Product Officer at Lumen, to map the real shift to Cloud 2.0—an AI-driven rearchitecture of how data moves, where compute lives, and how enterprises keep control as speed and scale explode. Dave explains why data movement has become the bottleneck that decides AI ROI, and how distributed on-ramps, 400G to 1.6T connectivity, and network-as-a-service can shrink time-to-first-token while cutting operational drag.We unpack the rise of neo clouds—GPU-first data centers with new commercial models—and what that means for planning training and inference. Instead of buying vague capacity, teams now rent defined GPU clusters for six to 36 months, often in nontraditional metros with power and cooling to match. That shift demands a new connectivity strategy that bypasses hourglass on-ramps and drives data directly to AI factories and hyperscalers. Dave makes the economics tangible: when moving a petabyte takes hours instead of days, GPUs stay busy, costs drop, and models get to work faster.Control doesn’t have to disappear as DIY fades. Dave outlines how design, price, order, provision, and assurance can live in one digital platform, giving IT the same topology and policy control without the burden of racks and cross-connects. We cover why many SD-WAN and SASE deployments need deterministic bandwidth channels, how to build a data fabric across 30+ sources, and the practical first steps: inventory workloads, map your data flows, and match bandwidth to business outcomes. If you’re plotting an AI strategy without a network and data plan, you’re leaving value on the table.If this conversation helps you think clearer about Cloud 2.0, follow the show, share with your team, and leave a quick review to help others find it. What’s the first workload you’d accelerate with a true high-speed data fabric?Everyday AI: Your daily guide to grown with Generative AICan't keep up with AI? We've got you. Everyday AI helps you keep up and get ahead.Listen on: Apple Podcasts SpotifySupport the showMore at https://linktr.ee/EvanKirstel

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