TECHtonic: Trends in Technology and Services

Technology & Services Industry Association

Join host Thomas Lah as he discusses shifts in the ever-changing technology industry with tech executives, researchers, and thought leaders who share their experience and provide their perspective and data on what companies should do to stay relevant, be profitable, and succeed.

  1. 129. The AI Bill Is Coming Due: Making Enterprise AI Profitable

    3d ago

    129. The AI Bill Is Coming Due: Making Enterprise AI Profitable

    AI is changing everything—but there's one part of the conversation many organizations still aren't having: the economics. As enterprises race to deploy copilots, agents, and generative AI across every department, leaders are discovering that AI costs don't arrive as a single invoice. They show up across GPUs, token consumption, cloud infrastructure, data platforms, and idle compute resources, making it difficult to understand whether AI investments are actually delivering business value. In this episode of TECHtonic, TSIA Executive Director Thomas Lah sits down with Kunal Agarwal, CEO and co-founder of Unravel Data, to discuss why AI FinOps has become one of the most important disciplines for enterprise technology leaders. Kunal explains how organizations can optimize prompts, right-size AI models, eliminate wasted GPU capacity, and gain real-time visibility into the full AI technology stack. Together, they explore why AI should no longer be treated as a science experiment, how leading organizations are creating headroom to fund continued innovation, and why the companies that combine AI ambition with financial discipline will become tomorrow's AI-native market leaders. If you're responsible for AI strategy, cloud operations, infrastructure, finance, or technology investments, this episode offers a practical roadmap for balancing innovation with profitability—and ensuring your AI initiatives deliver measurable business outcomes.

    44 min
  2. May 29

    127. Your Customers Have Been Telling a Story. AI Can Finally Read It.

    Your CRM knows what happened. It doesn’t know why—or what’s about to happen next. That gap is costing revenue teams millions in preventable churn, missed expansion, and deals that slip away long before anyone saw it coming. In this episode of TECHtonic, TSIA Executive Director Thomas Lah sits down with Alok Shukla, CEO and co-founder of Funnel Story, to explore a new category of technology: the AI-powered revenue intelligence layer. Unlike traditional CRM dashboards that report on structured activity data in a single point in time, Funnel Story’s patented composite model combines structured data (usage, revenue, activity), unstructured conversational data (calls, emails, notes), and third-party market signals—then reverse-engineers your full historical timeline to train itself from day one. Median deployment time: less than a day. Alok introduces the concept of “needle movers”—AI-detected early warning patterns that surface months before churn or expansion become visible to any human. He shares a compelling real-world example where signals from three different organizational levels (an executive conversation, a support ticket, and a CSM interaction) were silently pointing to competitive risk—patterns that only emerged because of historical churn analysis. Without the intelligence layer connecting those dots, the account would have been marked “healthy” right up until it churned. Drawing on his 20+ years in cybersecurity (McAfee, Intel Security, Imperva), Alok makes a powerful analogy: the Security Operations Center went from 80% people / 20% tech to nearly the inverse over 20 years—and that transformation is now coming for revenue and CS organizations. The leaders who will thrive are those who start thinking now about what it means to manage a fleet of agents rather than a team of reps.

    43 min

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Join host Thomas Lah as he discusses shifts in the ever-changing technology industry with tech executives, researchers, and thought leaders who share their experience and provide their perspective and data on what companies should do to stay relevant, be profitable, and succeed.

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