Full Tech Ahead

On this podcast, I sit down with business leaders, researchers and executives to explore innovative technology solutions and products, whether they’re transforming industries today or still in development. But we go far beyond the tech itself. From real-world use cases and business implementation journeys to cybersecurity challenges and future trends, we uncover what’s shaping the digital landscape. We also dive into topics that matter to every tech professional: Work/life balance, business communication, education and training. Think of it as your one-stop shop for meaningful technology discussions that inspire and inform.

Full Tech Ahead is a technology podcast hosted by Amanda Razani, with 61 episodes on record and a Required Pod Score of 80.

Amanda Razani hosts Full Tech Ahead, a technology show with 61 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  Episode #24

  The 2026 GPU Shortage Crisis

  Oct 1, 202626 minS2

  In this episode of "Full Tech Ahead," host Amanda Razani interviews Stefaan Vervaet, co-founder and CEO of Akave. They discuss the major shifts in AI infrastructure, specifically the rise of "Neo Clouds"—specialized GPU-as-a-service providers and compute marketplaces that decentralize compute away from traditional hyperscalers. Vervaet highlights that acute GPU shortages and soaring compute/storage costs are forcing enterprises to navigate tight contract commitments (1 to 3 years) for high-end chips like NVIDIA B200s and B300s. A primary bottleneck in this multi-cloud environment is data lock-in and steep egress fees imposed by legacy hyperscalers. Akave addresses this by offering a neutral, persistent data storage layer with zero egress fees situated close to GPU clusters. This architecture eliminates vendor lock-in, solves the costly "cold boot restart" problem by rapidly restoring snapshots and weights, and integrates with emerging confidential computing frameworks to guarantee sovereign enterprise data security. Key Quotes "Neo clouds are specialized service providers that specifically zoom in on GPUs... compute has now fully... decentralized or disaggregated or distributed." "The hyperscalers made it really difficult to move out." "A snapshot is worth minimum three hundred hours of engineering hours... The time between your purchasing access to GPUs and the time that you actually can use it, that's extremely expensive." "I've never seen such high demand for infrastructure... as of September 2026, it's getting harder and harder to get access to capital and equipment. Start now to lock in your hardware." Takeaways Navigate the Neo Cloud GPU Shortage: Compute is no longer confined to hyperscalers; specialized Neo Clouds and decentralized compute brokers are essential for sourcing GPUs. With pricing doubling and hardware scarce, companies must define whether their workload is inference or fine-tuning early to negotiate long-term hardware allocations before capacity vanishes. Keep Data in a Neutral Layer to Prevent Lock-In: Traditional hyperscalers hold enterprise data "hostage" through exorbitant outbound egress fees. Storing proprietary datasets and model weights in a neutral, egress-free storage provider like Akave maintains strategic leverage, enabling frictionless migration across multiple GPU providers and regional sovereign clouds. Solve the "Cold Boot Restart" Bottleneck: High-performance local NVMe storage attached directly to GPUs is too expensive for multi-terabyte model persistence. Utilizing a nearby edge object repository to quickly pull snapshots, checkpoints, and model weights saves hundreds of wasted engineering hours and prevents paying for idle GPU rental time. Enforce Confidential Computing for AI Sovereignty: Moving proprietary data to third-party Neo Clouds or international co-locations raises valid security concerns. Enterprises should require hardware-level confidential compute (enforced chip decryption only during runtime execution) and maintain dedicated, isolated single-tenant environments ("AI factories") governed by external key management systems. Find Amanda Razani on LinkedIn. https://www.linkedin.com/in/amanda-razani-990a7233/ Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/ Visit the FTA website: https://fulltechahead.com/ Check out the Substack Channel: https://fulltechahead.substack.com/

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  Episode #21

  Why CEOs are Failing Their AI Strategy

  Aug 27, 202617 minS2

  In this episode of "Full Tech Ahead," host Amanda Razani interviews Kurt Muehmel, Head of AI Strategy at Dataiku. They discuss the recently published "2026 CEO Confessions Report," which gathers anonymous feedback from around 900 global enterprise CEOs. Muehmel reveals a notable structural disconnect: while 70% of CEOs state they officially "own" their company's AI strategy, only 60% actually participate in the core AI decision-making processes, which are typically delegated down to CIOs and Heads of AI. A major highlight of the report is that 76% of CEOs regret their initial AI vendor choices, feeling dangerously over-dependent on a few select providers. Following recent geopolitical export controls and government bans in June and July 2026 that suddenly restricted model availability, Muehmel stresses the absolute necessity of maintaining "strategic independence." He urges leaders to design flexible architectures that allow rapid model switching, reduce token expenditures by shifting optimized base loads to open-source models, and establish robust governance before operational expectations collide with board-level accountability. Key Quotes "Seventy percent of the CEOs that we surveyed say that they own the AI strategy... But then only sixty percent are saying that they participate in a lot of or most of the AI related decisions." "Seventy-six percent of CEOs said that they regretted one of the choices, one of the vendor choices that they had made, and were feeling overly dependent on too few AI vendors." "AI is increasingly becoming a geopolitical topic... which means that it's critically important for enterprises to be able to choose a model... but then be ready to test and switch quickly." "Boards are asking CEOs to defend the AI outcomes faster than companies can actually explain them." Takeaways Bridge the Executive-AI Disconnect: CEOs are forced to be the public and investor face defending AI initiatives to boards, yet they lack granular involvement in implementation choices. Successful organizations close this gap by ensuring top executives are hands-on, everyday users of AI tools to fully comprehend their operational limitations and strengths. Maintain Strict Strategic Independence: Geopolitical interventions and export controls make tight coupling with a single proprietary AI vendor a massive enterprise liability. Companies must construct their computing frameworks to remain model-agnostic, allowing seamless backend transitions from one provider to another without rebuilding the entire application stack. Optimize via Smaller, Open-Source Models: While token consumption across the global economy will continue to skyrocket, enterprise spending must mature from experimentation to cost optimization. Organizations should use premium frontier models solely for initial prototyping, then shift production workloads to specialized or local open-source models to permanently secure access and slash token costs. Prioritize Real-Time Explanability Over Shovel-Ready Slop: Employees will naturally bring unapproved tools past corporate firewalls to clear mundane work debt. Leaders must quickly provide centralized, secure internal agents and copilots that go beyond basic text processing to automate advanced workflows with clear logging, observabi lity, and data-privacy safeguards. Find Amanda Razani on LinkedIn. https://www.linkedin.com/in/amanda-razani-990a7233/ Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/ Visit the FTA website: https://fulltechahead.com/ Check out the Substack Channel: https://fulltechahead.substack.com/

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  Episode #20

  Stop the Ad Ops Grind: Cut Errors and Unlock Growth

  Aug 20, 202615 minS2

  In this episode of “Full Tech Ahead,” host Amanda Razani interviews Michele Bavitz, Vice President of Growth at Theorem. They discuss the vital role of automation in digital media ad operations (ad ops) and how it addresses operational complexities across publishers, media owners and streaming platforms. Bavitz explains that ad campaigns touch multiple internal teams throughout the end-to-end “order-to-cash” lifecycle—including sales, client success, ad ops, IT and finance. This high-volume, multi-platform environment creates massive friction and costly manual errors. By adopting a hybrid automation model that integrates both tech solutions and human oversight, organizations can eliminate repetitive toil, reduce financial make-goods, cut operational overhead, and allow teams to upskill toward strategic growth, media prospecting and performance analytics. Key Quotes “Theorem... is a digital media organization... Our model is a hybrid where with clients, we are integrating the human element as well as the tech side to bring greater automation.” “The end to end process in delivering an ad campaign touches so many teams... It brings a lot of opportunity for things like error, friction with internal teams as well as client teams.” “What I’m seeing... is less about job loss and more about upskilling... taking those resources and upskilling them to work on the tech side.” “You want to pick the least complex process with the highest impact... Within our experience, we’ve found that the trafficking process within ad operations is the one that has the highest impact.” Takeaways Address the Order-to-Cash Friction: Ad operations isn’t an isolated department; ad campaigns flow through sales, account management, finance, and IT. Automating manual handoffs within this complete order-to-cash lifecycle drastically reduces campaign errors, avoids costly client make-goods, and resolves cross-departmental friction. Prioritize High-Impact, Low-Complexity Targets: When initiating ad ops automation, gather all departmental leaders to map collective pain points. Start the roadmap with highly repeatable, high-volume operational bottlenecks—such as creative asset trafficking—to yield immediate cost efficiency and team relief. Upskill Teams from Trafficking to QA: Automation in ad ops is not a single “switch flip” that eliminates human workers. As automated pipelines take over routine uploads, ad ops roles shift naturally from manual trafficking to strategic Quality Assurance (QA), client prospecting, and data-driven pitch positioning. Culture and Leadership Alignment Come First: The biggest obstacle to successful automation isn’t software capability or API integration; it is organizational culture and executive alignment. All leaders across finance, sales, IT, and operations must agree on unified automation goals before deployment. Find Amanda Razani on LinkedIn. https://www.linkedin.com/in/amanda-razani-990a7233/ Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/ Visit the FTA website: https://fulltechahead.com/ Check out the Substack Channel: https://fulltechahead.substack.com/

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  Episode #19

  Control Your Data and Stop AI Leaks

  Aug 13, 202616 minS2

  In this episode of "Full Tech Ahead," host Amanda Razani interviews Ward Balcerzak, Field CISO at Sentra. They explore how AI is fundamentally transforming data security posture management (DSPM) and exposing long-neglected operational hygiene, such as outdated access rights and forgotten data repositories. Balcerzak highlights the evolution from basic Large Language Models (LLMs) to fully Agentic AI systems capable of autonomous reasoning. He warns that threat actors are using advanced frontier models to chain together low-and-medium severity vulnerabilities to breach perimeters and exfiltrate IP. To counter these AI-driven external attacks and internal data overexposure, Balcerzak advises business leaders to move past "opening the floodgates," establish strict data provisioning based on specific use cases, build trust-based partnerships across departments (Legal, HR, Privacy), and master basic data and identity security fundamentals. Key Quotes "Sentra... we are a data security posture management software vendor. And what that really is, is we're finding where your sensitive data is at, what it is, how it's exposed." "AI is exposing things that we forgot about for the last twenty years or we ignored... hygiene, data hygiene, access rights." "Frontier models are able to chain exploits together in a way that humans really didn't think about... You need to focus on the mediums and lows, first and foremost." "Security leaders... you need to find your champions out there in the organization... Start reaching out... make them your best friends." Takeaways Address Medium and Low Vulnerabilities: Traditional vulnerability management focuses exclusively on high and critical risks. However, threat actors now leverage AI models to string together multiple minor, unpatched exploits into sophisticated breach pathways, making low-and-medium vulnerability remediation mandatory. Avoid Opening Data Floodgates: Deploying copilots or agentic AI across an entire corporate dataset by default creates severe overexposure. Companies must restrict training and input data to a minimal, highly specific subset tailored strictly to defined business outputs and permissioned user roles. Bridge the Security-Business Communication Gap: Security professionals cannot protect an organization without understanding operational goals. CISOs should establish non-transactional, human relationships with non-technical leaders in Legal, HR, Privacy, and specific business units to identify champions and align security posture with actual daily usage. Master Identity and Data Fundamentals: A strong AI defense relies on basic digital hygiene. Organizations must clean up authentication infrastructure (such as Active Directory) to enforce need-to-know access, tokenize or encrypt sensitive data in databases, and run continuous discovery to locate forgotten corporate data assets. Find Amanda Razani on LinkedIn. https://www.linkedin.com/in/amanda-razani-990a7233/ Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/ Visit the FTA website: https://fulltechahead.com/ Check out the Substack Channel: https://fulltechahead.substack.com/

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  Full Tech Ahead

  Cyberattacks are up 4X. Are you Ready?

  Aug 6, 202618 min

  In this episode of "Full Tech Ahead," host Amanda Razani interviews Joe Sykora, CEO of Coro. They discuss the massive cybersecurity challenges facing small to medium-sized enterprises (SMEs) and Managed Service Providers (MSPs) who struggle with limited resources and complex "Franken-stacks"—a fragmented mix of disconnected, multi-vendor security tools stitched together via APIs. Sykora outlines how Coro eliminates this complexity by providing a unified platform powered by a single agent and a clean, consolidated dataset running roughly 14 integrated modules. This architecture enables an automated cyber threat remediation rate of 92% to 96%. Sykora notes that cyberattacks have surged 3 to 4 times per client compared to last year due to malicious AI use. To address this, he champions operational simplicity, a 100% channel-partner model, and urges security leaders to embrace rapid product cycles and platform consolidation to maximize MSP profit margins and eliminate costly misconfigurations. Key Quotes "Coro is a complete cybersecurity platform... We have a single agent that we provide roughly fourteen different modules... we cover all aspects of cyber." "The number one risk is people... but number two is misconfiguration. I've seen a lot of clients through the years have issues with something was misconfigured because they had that 'Franken-stack'." "As a provider who gets to see things happen, we've already seen almost four X the number of attacks so far this year than all of last year." "If you're not using an AI system, I don't see how you keep up... This is kind of hyperscale when it comes to that." Takeaways Ditch the "Franken-stack" for Data Cleanliness: Relying on separate security tools connected via APIs fails to provide a true "single pane of glass." A unified platform ensures a clean, singular dataset, which is the foundational prerequisite for defensive AI to effectively stop and remediate threats automatically. Consolidation Cuts Operational Overhead: For MSPs, the primary cost is not software licensing but backend operational labor. Switching from fragmented tools to a unified architecture allows a single security analyst to manage 100 to 200 clients seamlessly, compared to just 20 or 30 under an enterprise legacy setup, heavily expanding profit margins. Defensive AI is Mandatory: With AI-driven phishing and social engineering attacks scaling up to 4X per client in 2026, cyber threats no longer contain obvious grammar mistakes or broken logos. Keeping up with this hyper-scale execution requires immediate adoption of automated, defensive AI ecosystems. Embrace Hyper-Fast Change Cycles: The landscape is shifting so quickly that traditional long-term product roadmaps are being superseded by immediate, rolling update cycles. Cybersecurity leaders and developers must remain adaptable and open to constant system refactoring to survive market disruption. Coro website and social handles: https://www.coro.net/ https://www.linkedin.com/company/corocyber/ https://x.com/coro_cyber?s=20 https://www.youtube.com/@coro-cybersecurity Many Thanks to Coro for sponsoring this episode! Find Amanda Razani on LinkedIn. https://www.linkedin.com/in/amanda-razani-990a7233/ Follow the FTA LinkedIn Page: https://www.linkedin.com/company/full-tech-ahead/ Visit the FTA website: https://fulltechahead.com/ Check out the Substack Channel: https://fulltechahead.substack.com/

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