What's Up with Tech?

• Inside NetApp’s Intelligent Data Infrastructure For AI-Ready Enterprises

  Interested in being a guest? Email us at [email protected] happens when only 30% of your data fuels decisions and the rest sits idle? We dig into the shift from traditional storage to intelligent data infrastructure and reveal how that change powers AI, real-time insights, and rock-solid resilience across industries. Cesar Cernuda President of NetApp walks us through exabyte-scale growth, why outcome-driven design beats tool-first thinking, and how to prepare data so AI actually delivers measurable impact.The sports arena offers the clearest stress test. From the NFL’s international push to a historic regular-season game in Madrid, we break down what it takes to deliver a flawless fan experience: seamless ticketing, instant replays, and real-time stats that don’t stutter under peak demand. Behind the scenes, teams analyze player workload and strategy with the same rigor financial institutions apply to transactions and healthcare providers bring to critical care. The common thread is a platform that moves data quickly, protects it continuously, and scales without drama.Security now sits at the center. If data is the new gold, then ransomware is the modern bank heist. We unpack practical defenses: immutable backups, anomaly detection, automated responses, and policy-driven controls that travel with your data across hybrid and multicloud. Then we get tactical about AI readiness. Don’t haul data to AI and hope. Prepare data for AI with clear lineage, smart placement across clouds, and governed access that enables rapid experimentation. Cap it off with a leadership playbook: define near-term outcomes, run tight measurement loops, and invest in a platform that won’t crumble when milliseconds matter.If you’re ready to turn raw data into competitive advantage, hit follow, share this with your team, and leave a quick review telling us the one data problem you want solved next.Support the showMore at https://linktr.ee/EvanKirstel

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• How TCS Turned A Company-Wide Hackathon Into An AI Engine

  Interested in being a guest? Email us at [email protected] happens when a global tech leader turns its entire company into an AI lab? Our conversation with TCS’s CIO Janardhan Santhanam opens the door on a culture-first transformation powered by the world’s largest AI hackathon—half a million ideas, 55 million lines of code in days, and a wave of agentic apps built from no‑code to pro‑code. The result isn’t just energy; it’s a blueprint for scaling AI responsibly, measurably, and fast.We break down the five pillars guiding TCS’s shift to an AI‑led services company: internal reimagination where every function becomes an AI practitioner; new client services from AIOps to AI‑driven development; talent acceleration through code assist, platform boot camps, and AI dojo programs; sector solutions spanning retail, supply chain, finance, and life sciences; and a robust partner ecosystem across hyperscalers and niche platforms. Along the way, we dig into what surprised the team—equal participation from HR and finance, agentic applications shipped by early‑career talent in hours, and the use of generative AI to evaluate submissions at unprecedented speed without losing human judgment.We also tackle a big product question: are apps dying? Not quite. Routine tasks move to conversational agents, while apps double down on deep work—research, modeling, and analysis—exposing services that agents can orchestrate. To make any of this scale, governance comes first: security, IP, privacy, and legal built into the SDLC, plus a hard pivot from scattered POCs to a true path to production. And the scoreboard is business value, not hype: faster month‑end close, shorter deployment cycles for people, higher learning satisfaction, better margins, and happier customers.If you’re mapping your own AI journey—how to democratize tools safely, design for outcomes, and keep talent growing—this conversation offers concrete steps you can apply now. Subscribe, share with a colleague who’s stuck in POC purgatory, and leave a review with the first process you’d reimagine with AI.Support the showMore at https://linktr.ee/EvanKirstel

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• Why Mobile Operators Hold The Keys To Fraud-Proof Sign‑Ins

  Interested in being a guest? Email us at [email protected] juggling one-time codes and clunky authenticator apps. We sit down with Eddie DeCurtis, CEO and co-founder of Shush, to unpack how carriers can quietly verify users in milliseconds using standards-driven, privacy-guarded data. Think number-to-IP matching, SIM swap checks, and location signals—all done behind the scenes so sign-ins feel almost invisible while fraud defenses tighten.Eddie explains why the real barrier hasn’t been demand from banks and brands, but supply from mobile operators. His team built a platform that bundles three hard problems—API exposure, network integration, and business operations—so carriers can go live fast without buying new equipment or hiring armies of consultants. A recent deployment with Dito in the Philippines moved from signature to launch in under 90 days, supporting a wide set of Camara APIs and 40+ endpoints that future‑proof brand integrations.We also cover the big turn away from SMS OTP. Prices swing, delivery fails, and attackers intercept. Network-based authentication changes the math with “intrinsic data” that supports multiple checks per user journey—verify number, confirm no recent SIM swap, and only then grant access. That creates higher value for brands and a durable revenue stream for carriers. Consent and compliance get full treatment too: how US CPNI rules enable fraud use cases, why EU Recital 47 differs, and where countries like Poland apply stricter limits. The practical answer is market-specific consent modules baked into the platform.If you’re building login flows, running fraud operations, or operating a mobile network, this episode maps the path from legacy OTP to carrier-grade security that users barely notice. Subscribe for more deep dives, share this with a teammate who owns authentication, and leave a quick review to help others discover the show.Psst! The Folium Diary has something it wants to tell you - please come a little closer...YOU can change the world - you do it every day. Let's change it for the better, together.Listen on: Apple Podcasts SpotifySupport the showMore at https://linktr.ee/EvanKirstel

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• Why Narrow Targeting And Scalable Content Will Decide Who Wins On Social

  Interested in being a guest? Email us at [email protected] of pretty charts that don’t change your strategy? We go straight at the hard truth: social media is evolving from follower-first tactics to value-first systems, and the winners are those who align a crisp ICP with content that solves real problems at scale. Emeric Ernoult is the Founder and CEO of Agorapulse, a serial entrepreneur with two decades of experience in social media and SaaS and breaks down how brands can prove impact, not just activity, and why AI is the lever that turns expertise into consistent output across formats.We dig into the new playbook for 2025: narrow your audience, clarify the problem you solve, and let AI help you repeat your best ideas in fresh ways. From short videos and carousels to text posts and long-form explainers, the goal is a content spine that compounds trust. We talk practical moves like transforming raw transcripts into standout explainers, building a studio in your pocket, and using agentic workflows that shift you from doing tasks to approving smart recommendations.Analytics gets a reboot too. Instead of handing your boss a PDF full of colors, use AI to extract what worked, what didn’t, and what to try next. We cover how small teams can operate like pros with a smart inbox, suggested replies, prioritization by sentiment and urgency, and reporting that actually prescribes action. Emeric also shares a peek at the 2026 roadmap: LinkedIn-first thought leadership for B2B, then expanding to visuals and video, all grounded in sharply defined use cases and personas.If you care about making social media drive pipeline, retention, and brand equity, this conversation gives you a clear path forward—less noise, more signal, and a toolkit that scales quality without burning out your team. Subscribe, share with a teammate who runs social, and leave a review telling us the one insight you’re acting on this week.Psst! The Folium Diary has something it wants to tell you - please come a little closer...YOU can change the world - you do it every day. Let's change it for the better, together.Listen on: Apple Podcasts SpotifySupport the showMore at https://linktr.ee/EvanKirstel

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• From Silos To Systems: Cross-Enterprise AI With R4

  Interested in being a guest? Email us at [email protected] 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?Support the showMore at https://linktr.ee/EvanKirstel

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