Strategic Implications of Wave 2 AI in B2B Applications
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Wave 2 AI in B2B applications will focus on providing insights through data synthesis, enabling faster decision-making. The shift will be towards leveraging multiple models and fine-tuned models on domain-specific data sets. Companies with proprietary data and fine-tuned models will have a competitive advantage. Use cases with high information volume and a high signal-to-noise ratio will benefit the most. Winners in Wave 2 AI will control the workflow and benefit from data access and iterative feedback. Strategic implications for B2B software providers include focusing on decision points as high opportunity value areas, prioritizing data acquisition/retention, and considering pricing models that capture the value for decision-makers. Fully capitalizing on Wave 2 AI opportunities requires owning decision points, obtaining differentiated datasets, and implementing appropriate pricing models.



https://medium.com/@vpahwa99/strategic-implications-of-wave-2-ai-in-b2b-applications-95b9c766a061