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Starbucks doesn’t simply sell huge numbers of hot and cold drinks around the world — it also gathers huge amounts of data from over 100 million transactions a week. How does it use this data? And what role do A.I. and the internet of things (IoT) play in this?
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Major shifts in the way consumers spend their time and money have created a lethal competitive field for news media. Here are some facts and charts about it.
Like many, I was wrong about the subscription model for the news media. I thought that a possible scheme for subscriptions could be: one for national media, in the $12–20 a month range, another, less expensive ($5–$9/month) for local news, and the last one for specialized content, whether it is a business or a leisure publication.
The subscriptions model has quickly evolved from utilities to digital and more recently into physical products. Startups are taking on the most locked up sectors with this approach, but how are they doing it?
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The discipline of Product Management is built around two core tenets: defining a clear, value-based product strategy and creating and managing a healthy roadmap.
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In 2019, Gartner predicted that 80% of AI projects wouldn’t scale to provide business value — that the data science projects would fail. While numerous other posts (see here, here, and here) have provided differing reasons for data science failure, they mask the underlying cause: the lack of a data science product manager.
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While companies have been building data products well before AI became the next big thing, the formalization of data product management positions is relatively recent. This is a direct function of data’s new-found role as a key product and competitive advantage.
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If you have read my recent post, you will know that I am interested in product management and data science. These 2 fields combined create a data-driven product development process, which is a powerful approach in a lot of SaaS companies nowadays. Recently, I went to a product meetup in Imgur headquarter in San Francisco, and had a chance to mingle with other product people as well as learn about the trendy product practices.
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