Business loves buzzwords, and there’s been no bigger buzzword recently than artificial intelligence. AI, of course, lets companies optimize their operations, business models and customer experiences around data-driven insights, while developing products and services that align more closely with customer needs.
Now that leading cloud service providers are providing AI-driven machine learning and deep learning training platforms—customized to business user data and accessed as cloud-hosted application programming interfaces—companies of all sizes can seize the benefits of AI.
By offering an alternative to on-premise AI solutions, cloud providers are giving small businesses the same advantages their larger counterparts are looking to exploit. Among the valuable AI tools at their disposal are natural language processing, image recognition, translation, search functions and data analytics. Read More
Tag Archives: Cloud
Modern AI Stack & AI as a Service Consumption Models
The Top Cloud-Based AI Services (2018)
The major cloud providers have each rolled out a cloud-based AI service. We take a deep dive on the big players, whose AI services are markedly different from one another. Read More
AWS vs. Azure vs. Google: Cloud Comparison [2019 Update]
The three leading cloud computing vendors, AWS, Microsoft Azure and Google Cloud, each have their own strengths and weaknesses that make them ideal for different use cases. Read More
Choosing Your Deep Learning Infrastructure: The Cloud vs. On-Prem Debate
You’ve probably had some version of this debate numerous times: cloud or on-premise? Maybe you want to migrate some pieces of your application to the cloud. Alternatively, in light of recent privacy policy changes, maybe you want to move some customer data back on-prem. Read More
AI Trends 2018: Machine Learning as a Service (MLaaS)
n recent years driven by a major move into digital platforms and microservices. This shift has been made possible because of the cloud computing revolution, particularly the massive growth of public cloud services provided by enterprise companies such as Amazon, Microsoft and Google, among others. These enterprises have put an enormous emphasis on the “as a service” business model, which allows outside companies to pick and choose necessary microservices provided by the enterprises. Read More
Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI, IBM Watson
For most businesses, machine learning seems close to rocket science, appearing expensive and talent demanding. And, if you’re aiming at building another Netflix recommendation system, it really is. But the trend of making everything-as-a-service has affected this sophisticated sphere, too. You can jump-start an ML initiative without much investment, which would be the right move if you are new to data science and just want to grab the low hanging fruit. Read More
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