For the most part, many of the current cloud offerings have previous frameworks that could run in a local infrastructure as well. New cloud offerings are what I would call “cloud only” — a series of tools that only exist in the cloud.
Here is a sample of Microsoft Azure’s new offerings. Notice, unlike previous announcement concerning virtualization, databases and operating systems, these all have a different ring to them.
- Emotion API — Personalize experiences with emotion recognition
- Language understanding Intelligent Service API — Teach your applications to understand commands
- Text Analytics API — Perform text to sentiment analysis, extract key phrases and detect topic and languages
- Face API –detect, identify organize and tag faces in photos
- Speech API — convert speech to text and back again and understand its intent
- Recommendations API –Predict which products your customers are most interested in based on their previous transactions
What makes this all possible is that large cloud providers of non-hosting services, such as Search, are opening their internal engines, which have done billions of queries and millions of hours of analysis, to the public. Google and Microsoft have invested billions of dollars into understanding their data in meaningful ways. More importantly, they have existing revenue-generating business based on these abilities so they continue to invest heavily. Mix that with a hefty dose of competition and fear and you can see how we got to where we are today: the intelligent cloud.
These intelligent services will offer abilities to companies of all sizes that don’t have the means to build such expensive and massive systems. Even if these companies could build similar systems, these services only work when millions of people continually use them. The systems have to be trained; they can’t be programmed. Training is complex, takes lots of time, and requires lots of processing power.
There are several aspects of new features like Azure’s that go beyond the technology: