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AI is everywhere. So where is the real business value? In this episode of TECHtonic, TSIA’s Thomas Lah speaks with Sofi Elfving Hallberg, CEO and co-founder of Substorm and a machine learning pioneer who has worked in the field since the early 2000s. Sofi shares how the AI landscape has evolved from the early days of limited data and computing power to today’s generative AI boom, and why many companies are still struggling to move beyond experimentation.
They discuss why much of today’s AI investment may be chasing hype rather than solving meaningful problems. According to Sofi, the biggest opportunities lie not in generic generative AI tools, but in vertical, industry-specific solutions that tackle complex operational challenges—like quality control, document management, and other “boring” enterprise processes that can deliver massive ROI when optimized.
The conversation also dives into what it actually takes to make AI succeed inside organizations. From avoiding endless proof-of-concept projects to prioritizing change management and business ownership over IT-led initiatives, Sofi explains why delivering measurable value from day one is critical. For leaders trying to cut through the noise, this episode offers a practical roadmap for turning AI potential into real results.
By Technology & Services Industry Association4.9
3030 ratings
AI is everywhere. So where is the real business value? In this episode of TECHtonic, TSIA’s Thomas Lah speaks with Sofi Elfving Hallberg, CEO and co-founder of Substorm and a machine learning pioneer who has worked in the field since the early 2000s. Sofi shares how the AI landscape has evolved from the early days of limited data and computing power to today’s generative AI boom, and why many companies are still struggling to move beyond experimentation.
They discuss why much of today’s AI investment may be chasing hype rather than solving meaningful problems. According to Sofi, the biggest opportunities lie not in generic generative AI tools, but in vertical, industry-specific solutions that tackle complex operational challenges—like quality control, document management, and other “boring” enterprise processes that can deliver massive ROI when optimized.
The conversation also dives into what it actually takes to make AI succeed inside organizations. From avoiding endless proof-of-concept projects to prioritizing change management and business ownership over IT-led initiatives, Sofi explains why delivering measurable value from day one is critical. For leaders trying to cut through the noise, this episode offers a practical roadmap for turning AI potential into real results.

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