Microsoft is not just sitting on its laurels; it’s innovating and evolving. In this detailed analysis, we delve into the three significant upgrades that are reshaping the company’s two core platform business models. Understand the strategy, the implications, and what this means for the tech landscape.
Microsoft’s Azure strategy is to provide infrastructure and two platforms: Azure App Service and Azure Functions. Azure App Service is a fully managed platform that makes it easy to deploy and scale web applications. Azure Functions is a serverless platform that makes it easy to run code in response to events. These platforms can be used to build scalable and reliable cloud applications.
In this episode of the Tech Strategy podcast, Jeff Towson discusses why most incumbents should forget about platforms and build consumption ecosystems. He explains how consumption ecosystems are different from platforms and how they can help companies create more value for their customers. Towson also talks about the potential benefits and risks of consumption ecosystems and how companies can prepare for their impact.
Master the art of consumer engagement with Jeff Towson’s ‘9 Digital Business Models: An Intro to Consumption Ecosystems.’ Learn the frameworks that have reshaped how we approach consumer interaction and loyalty in the digital era. A must-read for CEOs and executives aiming to maximize consumer value and drive long-term success.
Jeff Towson discusses Snowflake, Alibaba, and his 3 favorite cloud business models in this podcast. Listen now to learn more about these companies and their business models. This podcast is a must-listen for anyone interested in cloud computing!
I wrote about Alibaba’s 5 growth strategies under “Domestic Consumption”. But CEO Daniel Zhang has also outlined 5 growth strategies for Alibaba Cloud. And their cloud business is what everyone has been speculating about. It’s the most exciting growth opportunity but it also has the greatest uncertainty. I’ve argued Alibaba is 100% in the platform […]
In Part 1, I discussed Snowflake and its compelling business model for a “data ecosystem”. I argued it was a collaboration (CCS) platform based on data intelligence. Plus some other stuff. And I also outlined 4 types of collaboration platforms, which were: Communication. Zoom, Slack, etc. Data Intelligence. Snowflake and Confluent Team Projects. Manual and […]
In this podcast, Jeffrey Towson discusses the four types of coordination platforms: communication, data intelligence, team projects, and operational automation. He also talks about Snowflake and Confluent, two companies that are leading the way in the data intelligence space. Towson argues that coordination platforms are becoming increasingly important in the digital economy, as they help businesses to collaborate more effectively and efficiently.
I recently wrote quite a bit about Snowflake – and their strategy for building a “data ecosystem”. It’s a big idea and my explanation was to think about Snowflake’s business model as three complementary platforms. Part 2: Snowflake is Building 3 Complementary Platforms with 4 Network Effects (Pt 2 of 3) (Asia Tech Strategy – […]
In this podcast, Jeffrey Towson discusses the battle between Alibaba Cloud, AWS, and other cloud computing providers. He argues that the cloud computing market is still in its early stages, and that there is plenty of room for all players to grow. Towson believes that the winner of the cloud computing war will be the company that can best adapt to the changing needs of its customers.