Jan Bosch
Jan Bosch For most of the postwar era, defense has been an industry apart. It operated on different procurement timelines, with different incumbents, on different cost structures and with different innovation cycles than the rest of the technology economy. The major defense primes, including Lockheed Martin, Northrop Grumman, BAE Systems, Thales and Saab, built complex hardware platforms … Read more
For most of the past decade, the most consequential advances in artificial intelligence have happened in software. Language models, recommendation engines, image classifiers, predictive analytics: the defining products of the AI era have been things you interact with on a screen. The physical world, by contrast, has remained largely resistant to the same transformation. Robots … Read more
For most of the past three years, the conversation about enterprise AI has been dominated by a single assumption: Bigger is better. Each successive generation of frontier models has been larger than the last, more expensive to train, more capable across a wider range of tasks and more central to the strategic positioning of the … Read more
For most of the history of software engineering, we’ve operated under a deceptively simple model. Engineers specify behavior. Systems execute it. When the behavior is wrong, engineers fix it. When requirements change, engineers rewrite it. Between releases, the system is inert. It doesn’t learn from what it observes in production. It doesn’t adapt to how … Read more
For decades, software quality has been a solved organizational problem, or at least a well-understood one. Teams write tests. Tests run automatically. When a change breaks something, the pipeline catches it before it reaches production. This discipline, built up painfully over thirty years of software engineering practice, is why modern development teams can ship multiple … Read more
Since the introduction of ChatGPT in 2022, artificial intelligence in the enterprise has been fundamentally assistive. AI systems have answered questions, generated suggestions, summarized documents and flagged anomalies. Humans have long remained firmly in control of every consequential action. The AI provided input; the person made the decision and pressed the button. This was a … Read more
Over the last decade, many of the companies I work with through Software Center have made significant investments in data. Sensors have been deployed, systems instrumented and pipelines built to collect and store vast amounts of information. In principle, this should provide a strong foundation for data- and AI-driven innovation. In practice, however, a recurring … Read more
Administrative work is the hidden tax of modern organizations. Companies spend enormous amounts of time filling out questionnaires, answering requests for documentation, resetting passwords, approving access rights and routing internal tickets. These tasks are rarely strategic, but they are essential. For years, companies have tried to reduce administrative overhead through robotic process automation (RPA). Traditional … Read more
Two-sided markets are among the most powerful business models in the digital economy. Instead of selling a product to a single customer group, you build a platform that connects two distinct communities that benefit from interacting with each other. The platform becomes valuable precisely because it attracts both sides simultaneously. Each new participant increases the … Read more
Over the last decade, companies have increasingly discovered that the most valuable assets they possess aren’t necessarily their products, their brands or even their intellectual property. It’s their data. Data about customers, markets, operations and competitors has become the raw material from which modern companies derive insights, predictions and, ultimately, competitive advantage. However, collecting and … Read more
