Human-quality workflows need human-quality data, an axiom that has only grown truer in the AI-first enterprise. However, access to complete, high-signal data remains a limiting factor, given steep data provider fees, inflexible schemas, AI hallucinations, and scattered, inconsistent, and mutating sources. Customers don’t need to be data scientists to recognize shovel-ready datasets, but if they need to be data scientists to generate them reliably, data will always be rate-limiting.
It’s widely agreed that GenAI will transform software development, and GenAI dev tools have emerged as cornerstones of 8VC’s portfolio and broader AI productivity thesis. Up to now, however, hard data on the scale and specifics of this shift have been missing from the equation. In competitive industries, the speed and efficiency gains promised by GenAI coding tools could well mean the difference between market leadership and obsolescence. Companies can’t afford to select the wrong tools and end up on the wrong side of the AI adoption curve.
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This paper draws on the work of economist Carlota Perez in developing the thesis that private technology companies are not in a speculative bubble. We argue instead that the world is currently in the "golden age" of the technological revolution set off by the invention of the internet.
This paper discusses a feedback cycle unleashed by the mobile ecosystem in the SMB space. As customer acquisition costs plummet for software vendors and SMBs benefit from new data and technology, hundreds of billions of dollars of value is being created.
This paper discusses the most important challenge faced by entrepreneurs building tech companies, and offers several foundational areas of focus for leaders tackling this issue.
This paper highlights the risks of investing blindly in what is popular and differentiates Smart Enterprise from ‘Big Data’.
This paper describes the market opportunity for start-ups that are bold enough to tackle business-to-government services and business models.
This paper describes a critical dimension of competitive advantage: building enterprise technology platforms that become the underlying infrastructure for valuable ecosystems of applications.
This paper describes the urgent need and unprecedented opportunity for Smart Enterprise platforms to enable app-driven innovation and disrupt large, old-line industries. There exist a variety of network effects and winner-take-all dynamics during this one-time event in which the original, closed technology infrastructure in these industries is opened up, and upgraded to leverage big data.
This paper discusses the theory and practice behind winning pre-growth investments.
This paper discusses the present age of creative destruction. New technologies will disrupt major industries, creating a large transfer of wealth and power in the global economy.
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